Biomedicina
2025
Antimicrobial resistant enteric bacteria are widely distributed among environmental water sources in Dhaka, Bangladesh.
Análisis de la influencia de programas de salud pública, variables socioeconómicas y sanitarias de Chile, sobre las tasas de mortalidad por neumonía adquirida en la comunidad, periodo 1985-2021.
Chronotype and Cancer: Emerging Relation Between Chrononutrition and Oncology from Human Studies.
Clinical epidemiology of dengue and COVID-19 co-infection among the residents in Dhaka, Bangladesh, 2021-2023: A cross-sectional study.
Fundus image classification using feature concatenation for early diagnosis of retinal disease.
Ventilator pressure prediction employing voting regressor with time series data of patient breaths.
2024
Calidad de vida y determinantes sociales de pacientes mexicanas con cáncer de mama, 2023.
Clinical phenotypes and short-term outcomes based on prehospital point-of-care testing and on-scene vital signs.
Clinical phenotypes and short-term outcomes based on prehospital point-of-care testing and on-scene vital signs.
A Comparison of the Clinical Characteristics of Short-, Mid-, and Long-Term Mortality in Patients Attended by the Emergency Medical Services: An Observational Study.
Correction: Prediction of leukemia peptides using convolutional neural network and protein compositions.
DiabSense: early diagnosis of non-insulin-dependent diabetes mellitus using smartphone-based human activity recognition and diabetic retinopathy analysis with Graph Neural Network.
Diagnosing epileptic seizures using combined features from independent components and prediction probability from EEG data.
Dietary counseling, meal patterns, and diet quality in patients with type 2 diabetes mellitus with/without chronic kidney disease.
Editorial: Host-bacteria interactions in fish pathogens.
Enhanced detection of diabetes mellitus using novel ensemble feature engineering approach and machine learning model.
Enhanced interpretable thyroid disease diagnosis by leveraging synthetic oversampling and machine learning models.
Evolving epidemiology, clinical features, and genotyping of dengue outbreaks in Bangladesh, 2000–2024: a systematic review.
Flavan-3-ols and Vascular Health: Clinical Evidence and Mechanisms of Action.
Impacto del perfil epidemiológico, sociocultural y económico sobre el crecimiento, morbilidad y mortalidad de la infección por SARS CoV2, en el Noreste de México.
Isoflavones Effects on Vascular and Endothelial Outcomes: How Is the Gut Microbiota Involved?
Performance of the 4C and SEIMC scoring systems in predicting mortality from onset to current COVID-19 pandemic in emergency departments.
Performance of the 4C and SEIMC scoring systems in predicting mortality from onset to current COVID-19 pandemic in emergency departments.
Prediction of leukemia peptides using convolutional neural network and protein compositions.
Resveratrol and vascular health: evidence from clinical studies and mechanisms of actions related to its metabolites produced by gut microbiota.
Side effects associated with homogenous and heterogenous doses of Oxford–AstraZeneca vaccine among adults in Bangladesh: an observational study.
Side effects associated with homogenous and heterogenous doses of Oxford–AstraZeneca vaccine among adults in Bangladesh: an observational study.
Sistema de vigilancia epidemiológica para CO-VID-19 y su aplicación en el cantón de Parrita, Puntarenas, Costa Rica.
Smart Physiotherapy: Advancing Arm-Based Exercise Classification with PoseNet and Ensemble Models.
StackIL10: A stacking ensemble model for the improved prediction of IL-10 inducing peptides.
Upholding or Breaking the Law of Superposition in Pharmacokinetics.
Virtual histopathology methods in medical imaging - a systematic review.
2023
The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment.
A Comprehensive Review of Recent Advances in Artificial Intelligence for Dentistry E-Health.
Cytotoxicity and Antimicrobial Resistance of Aeromonas Strains Isolated from Fresh Produce and Irrigation Water.
Efectos del Kéfir Moderno sobre el Peso, Estatura, Gasto Energético y Trastornos Intestinales y Respiratorios Asociados en la Parálisis Cerebral Hipertónica.
Empowering Lower Limb Disorder Identification through PoseNet and Artificial Intelligence.
Exploring factors influencing the severity of pregnancy anemia in India: a study using proportional odds model.
Molecular epidemiology, transmission and clinical features of 2022‐mpox outbreak: A systematic review.
Multidrug resistance pattern and molecular epidemiology of pathogens among children with diarrhea in Bangladesh, 2019–2021.
Nerve Root Compression Analysis to Find Lumbar Spine Stenosis on MRI Using CNN.
Prehospital acute life-threatening cardiovascular disease in elderly: an observational, prospective, multicentre, ambulance-based cohort study.
Prehospital qSOFA, mSOFA, and NEWS2 performance for sepsis prediction: A prospective, multi-center, cohort study.
Prevalence and genetic diversity of rotavirus in Bangladesh during pre-vaccination period, 1973-2023: a meta-analysis.
Prevalence and impact of long COVID-19 among patients with diabetes and cardiovascular diseases in Bangladesh.
SARSMutOnto: An Ontology for SARS-CoV-2 Lineages and Mutations.
Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.
Voxel Extraction and Multiclass Classification of Identified Brain Regions across Various Stages of Alzheimer’s Disease Using Machine Learning Approaches.
A lightweight deep learning approach for COVID-19 detection using X-ray images with edge federation.
2022
Adherence to the Mediterranean Diet Is Inversely Associated with the Prevalence of Metabolic Syndrome in Older People from the North of Spain.
Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives.
Amyloid β-but not Tau-induced neurotoxicity is suppressed by Manuka honey via HSP-16.2 and SKN-1/Nrf2 pathways in an in vivo model of Alzheimer's disease.
Análisis Del Recurso Humano Disponible y Las Cargas De Trabajo En El Laboratorio Clínico del Hospital Los Chiles, Costa Rica, durante el 2015 al 2019.
Análisis de la gestión actual del programa de pacientes en condición de Hemofilia y Enfermedad de VonWillebrand (EVW) de la IPS Clínica Oasis, en la región Nororiente, Costa Norte y Centro de Colombia durante el año 2020 y primer trimestre 2021.
Análisis de las acciones en promoción de la salud, del profesional de enfermería que labora en el primer nivel de atención del sistema de salud del seguro social campesino, Azogues-Ecuador, enero-abril 2022.
Análisis del Ecoturismo en Punta Cana, Republica Dominicana.
Barriers to and facilitators of adherence to pelvic floor muscle exercises and vaginal dilator use among gynecologic cancer patients: a qualitative study.
Biodisponibilidad de fósforo en alimentos y su efecto en la enfermedad renal crónica.
Calidad de la atención del personal de enfermería que labora en el Centro Obstétrico del Hospital General Docente de Calderón, Quito - Ecuador durante el periodo 2022.
Caracterización de eventos adversos y propuesta de plan de acción para la mejora continua de la calidad asistencial en el hospital General Quevedo periodo 2021.
Caracterização da violência autoprovocada em Itaipulândia/Paraná- Brasil, no período de 2013 a 2019.
Clasificación de riesgos en el manejo y transporte de cargas para la prevención de los problemas osteomusculares en los trabajadores de exportadora de cacao Verapaz.
A Comparative Analysis of a Self-Reported Adverse Events Analysis after Receiving One of the Available SARS-CoV-2 Vaccine Schemes in Ecuador.
A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson’s Disease: Past Studies and Future Perspectives.
Conflictos de intereses de los médicos de Chile con la industria ligada a la salud.
Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics.
Correction to: Systematic Review of Telemedicine and eHealth Systems Applied to Vascular Surgery.
Corrigendum to “Dietary supplementation of Bacillus velezensis improves Vibrio anguillarum clearance in European sea bass by activating essential innate immune mechanisms” [Fish Shellfish Immunol. 124 (2022) 244–253].
Cuidado informal en personas mayores con demencia, rol del hombre cuidador.
Desarrollo de competencias en Salud Visual para rehabilitación protésica de pacientes con anoftálmia.
Desarrollo de una galleta con harinas de haba (Vicia faba), chapulines (Sphenarium purpurascens charpentier) y totomoxtle de maíz (Zea mayz) y evaluación sensorial en niños de la Primaria Enrique C. Rebsamen de Oriental Puebla.
Design and Development of Smart Weight Measurement, Lateral Turning and Transfer Bedding for Unconscious Patients in Pandemics.
Determinación y comparación de distintas medidas antropométricas y las ecuaciones de estimación de peso en pacientes del Hospital General en Zacapu Michoacán: Propuesta de implementación de la fórmula de estimación de peso al personal de salud para que la empleen en su práctica clínica.
Diseño de material didáctico como herramienta para mejorar la comprensión del lengua en niños de inicial 2 de la unidad educativa “Chone”diseño de material didáctico como herramienta para mejorar la comprensión del lengua en niños de inicial 2 de la unidad educativa “Chone”.
Diseño de un programa educativo para fomentar el autocuidado en pacientes con Diabetes Mellitus en el Centro de Salud Cevallos Provincia de Tungurahua-Ecuador.
Diseño de un protocolo de manejo perioperatorio en cirugías abdominales para pacientes del servicio de cirugía del hospital Alianza, Quito-Ecuador, 2021.
Diseño del programa de vigilancia epidemiológica para la prevención de síndromes dolorosos asociados a riesgos ergonómicos en la empresa Agrojaba S.A.S en el municipio de Palmira, Colombia.
Efecto de la suplementación parenteral con ácidos grasos omega-3 sobre marcadores de pronóstico clínico médicos, nutricionales y bioquímicos en sujetos con estado crítico.
An Effective Method for Lung Cancer Diagnosis from CT Scan Using Deep Learning-Based Support Vector Network.
El Aprendizaje colaborativo online como herramienta didáctica en Espacios de Enseñanza de Educación Superior (EEES) en los estudiantes de Postgrado de Medicina Interna.
Elaboración de propuesta de mejora mediante el uso de las Tecnologías de Información y Comunicación como Recurso Didáctico en el Proceso de Aprendizaje de Estudiantes Externos de Medicina de la Universidad de las Américas en el año 2021 del Hospital Militar de Quito en el servicio de columna vertebral – traumatología.
Equilibrio Ocupacional y percepción de salud en la “nueva normalidad”: Relatos postcuarentena de personas mayores en situación de discapacidad de un Centro Comunitario de Rehabilitación.
Estado Nutricional, Hábitos Alimentarios y El Consumo De Alimentos Desencadenantes De Síntomas Gastrointestinales En Pacientes De 30 a 50 Años Con Síndrome De Intestino Irritable Que Asisten a La Unidad De Especialidad Médica UNEME SORID, En La Ciudad De Chetumal, Quintana Roo – México, Durante El Año 2022.
Estrategias motivacionales para el personal de enfermería que labora en áreas críticas del Hospital Verdi Cevallos Balda.Noviembre2021-Enero2022.
Evaluación de la atención en Salud, diseño documentación y medición de procesos en los Servicios auxiliares de diagnostico del Centro de Salud A San Lorenzo.
Evaluación de la calidad de servicios de atención al paciente en el consultorio privado médico-estético MEDICINESTHETIC, en la ciudad de Guayaquil durante el periodo 2020-2021.
Evaluación de la calidad de servicios de salud en el departamento médico de la empresa privada sálica del ecuador, ubicado en la parroquia Posorja, en el periodo de agosto y septiembre de 2021.
Evaluación de la calidad en los procesos del servicio de Radiología e Imagen en un Hospital Regional, con la finalidad de certificación.
Evaluación de los conocimientos de salud bucal y estado bucodental en adolescentes escolares de edades entre 15 y 18 años del Colegio Nehemías, en el municipio de Masatepe, Masaya, Nicaragua. Segundo semestre 2021.
Evaluación de los riesgos biológicos y ergonómicos en la salud del personal de enfermería encargado de la atención de pacientes de una unidad de hemodiálisis en la ciudad de Guayaquil, marzo 2020 – agosto 2021.
Evaluation du plateau technique médical de néonatologie en Afrique subsaharienne : cas du Sénégal.
Factores de la intención de revisita de los pacientes del sistema de atención primaria de la salud de la ciudad de Rosario, Argentina mediante modelamiento con ecuaciones estructurales por el método de mínimos cuadrados parciales (SEM PLS).
Factores de riesgo de enfermedades crónicas no transmisibles en pacientes usuarios de UCSF la presita versus personal de salud que labora en UCSF la presita de la ciudad de San Miguel.
Factores determinantes de la inasistencia de las embarazadas a consulta odontológica en el Subcentro de Salud Llacao, Cuenca - Ecuador.
Factores determinantes en el uso de métodos anticonceptivos en la población de 15 a 19 años en la delegación Cuauhtémoc, Ciudad de México.
Fatores Influenciadores na Escolha do Tipo de Parto de Gestantes da Estratégia Saúde da Família Caramuru, no Município de Itaipulândia-Pr, no Ano de 2021.
Funcionalidad motriz, estado nutricional e índices antropométricos de riesgo cardiometabólico en adolescentes chilenos de 12 a 15 años.
Genetic Resistance Determinants in Clinical Acinetobacter pittii Genomes.
Gestión adecuada de los residuos hospitalarios en Livet Medical Center, Guayaquil-Ecuador durante el período de abril a junio de 2021.
Guía Didáctica para el proceso de enseñanza aprendizaje en la carrera de medicina, asignatura de pediatría de la Universidad Estatal de Guayaquil, Cantón Guayaquil, Provincia del Guayas, Ecuador.
Implementación de herramienta digital de evaluación del riesgo obstétrico en Veracruz, México en el periodo de julio a octubre del año 2021.
Importancia de las Visitas domiciliarias en prevención de úlceras por presión en adultos mayores.
Influencia de las medidas de bioseguridad implementadas por la pandemia COVID19 en la disminución de infecciones nosocomiales en el área de hospitalización de Pediatría en el Hospital General Guasmo Sur, en el período 2019-2020.
Kinetics of the invasion of a non-phagocytic fish cell line, RTG-2 by Yersinia ruckeri serotype O1 biotype 1.
La participación ocupacional significativa del adulto mayor en el contexto institucional.
The Molecular Weaponry Produced by the Bacterium Hafnia alvei in Foods.
Multipath Routing in Wireless Body Area Sensor Network for Healthcare Monitoring.
Nivel de Conocimiento y Actitudes Sobre el COVID-19 en Personal de Enfermería de un Centro de Salud Público de Nagua, República Dominicana, 2021.
Nivel de habilidades para realizar el trabajo de investigación científica y su relación con los conocimientos en metodología de la investigación y cultura estadística para la propuesta de un programa estratégico en internos de nutrición y dietética de la Universidad Técnica de Manabí, Ecuador 2021.
Percepción de la satisfacción de los usuarios del Hospital de Niños Dr. Roberto Gilbert Elizalde en relación a la atención recibida en el servicio de Hospitalización. Guayaquil 2021.
Percepción del cuidado asistencial en personas con demencia, por parte del personal de enfermería, en Costa Rica en el año 2021.
Perfil paliativo en adultos mayores con demencia avanzada.
Plan de Gestión Integrada: Medio ambiente, Calidad y Prevención, para los Laboratorios de Química y Biología de la Facultad Multidisciplinaria Oriental (FMO) de la Universidad de El Salvador.
Plan estratégico de Marketing digital para una Unidad de Rehabilitación Cardíaca.
Prickly pear fruits from "Opuntia ficus-indica" varieties as a source of potential bioactive compounds in the Mediterranean diet.
Programa para la prevención de intoxicaciones en niños en edad escolar (6-12 años) en la gran área metropolitana (GAM) de Costa Rica durante el año 2022-2023.
Propuesta de modelo de atencion para reduccion de estancia hospitalaria, complicaciones, mortalidad y costos en pacientes con fractura de cadera, en Hospital General de El Salvador, 2012-2020.
Propuesta de reestructuración de la Sección Microbiología del Servicio de Laboratorio del Hospital Regional Concepción Dr. Miguel Belascuain de la ciudad de Concepción, Tucumán, Argentina, 2021.
Propuesta de un manual de especificaciones para promover el agilismo dentro de los procesos del departamento técnico de la empresa CORP-GTB CIA. LTDA.
Satisfacción de los usuarios hospitalizados en el Instituto de Neurociencias de la ciudad de Guayaquil, Ecuador en los años 2019 y 2020.
Satisfacción laboral del personal de enfermería sobre el cuidado de pacientes comprometidos con SARS-CoV-2 en el periodo Marzo-Diciembre 2020 en La Pampa Argentina.
Satisfacción laboral en médicos rurales del primer nivel de atención de salud del Ministerio de Salud Pública, Ecuador, en el periodo febrero – marzo 2022.
Satisfacción laboral y desempeño laboral en los profesionales de Enfermería que laboran en el área Tocoquirúrgico del Hospital Teodoro Maldonado Carbo de Guayaquil, durante mayo – julio del 2021.
Severity of protein-energy wasting and obesity are independently related with poor quality of life in peritoneal dialysis patients.
A Systematic Review and Meta-Analysis of Premenstrual Syndrome with Special Emphasis on Herbal Medicine and Nutritional Supplements.
Systematic Review of Telemedicine and eHealth Systems Applied to Vascular Surgery.
White Blood Cell Classification Using Texture and RGB Features of Oversampled Microscopic Images.
The world’s deadliest outbreak during the COVID-19 Pandemic: A proposed analytical approach to estimate Daily Excess mortality rates in Ecuador.
2021
Antimicrobial Resistance Determinants in Genomes and Plasmids from Acinetobacter baumannii Clinical Isolates.
Calidad asistencial percibida y satisfacción de las personas mayores atendidas en el servicio de urgencias en Sonora México.
Diseño e implementación de un modelo de atención de enfermería basado en modelo de sistemas de Betty Neuman para pacientes dializados y su familia.
Educational interventions on breast cancer in men and women: a necessity in primary healthcare.
Efectos del ejercicio físico sobre marcadores antropométricos, fuerza muscular y presión arterial en pacientes con hemodiálisis: una revisión narrativa.
Effects of caloric restriction on immunosurveillance, microbiota and cancer cell phenotype: Possible implications for cancer treatment.
Evaluation of the Analgesic Efficacy of a Bioelectronic Device in Non-Specific Chronic Low Back Pain with Neuropathic Component. A Randomized Trial.
A Hybrid Convolutional Neural Network Model for Diagnosis of COVID-19 Using Chest X-ray Images.
Ingesta de nuez (Juglans regia), para modificar el porcentaje de grasa corporal y el índice de masa corporal en médicos especialistas que realizan trabajo nocturno.
The Molecular Basis of Different Approaches for the Study of Cancer Stem Cells and the Advantages and Disadvantages of a Three-Dimensional Culture.
Molecular Interactions between Dietary Lipids and Bone Tissue during Aging.
Phage Therapy as a Focused Management Strategy in Aquaculture.
Plan estratégico preventivo para reducir el estrés laboral en el personal de enfermería del servicio de Neurología del Hospital de Especialidades Carlos Andrade Marín de la ciudad de Quito en el periodo de Mayo – Noviembre 2021.
Prevalencia de la anemia ferropénica y factores asociados en niños menores de 3 años atendidos en el Centro de Salud Tipo B de Nobol en el año 2019.
Severity of protein-energy wasting and obesity are independently related with poor quality of life in peritoneal dialysis patients.
2020
Clinical Taste Perception Test for Patients With End-Stage Kidney Disease on Dialysis.
Factores de riesgo para accidente cerebrovascular en adultos jóvenes.
2019
Diseño de un plan estratégico para la prevención de sobrepeso y obesidad infantil en Quevedo-Ecuador.
Effects of phytochemicals on thyroid function and their possible role in thyroid disease.
Relación entre el apego a la dieta y la educación nutricional en pacientes con diálisis del Hospital General de Atlacomulco y el Hospital General de San Felipe del Progreso, Estado de México.
2018
Are by-products from beeswax recycling process a new promising source of bioactive compounds with biomedical properties?
Nutritional patterns associated with the maintenance of neurocognitive functions and the risk of dementia and Alzheimer’s disease: A focus on human studies.
Strawberry extracts efficiently counteract inflammatory stress induced by the endotoxin lipopolysaccharide in Human Dermal Fibroblast.
2017
Anti-inflammatory effect of strawberry extract against LPS-induced stress in RAW 264.7 macrophages.
Lipid Accumulation in HepG2 Cells Is Attenuated by Strawberry Extract through AMPK Activation.
Protective Effect of Strawberry Extract against Inflammatory Stress Induced in Human Dermal Fibroblasts.
Strawberry (cv. Romina) Methanolic Extract and Anthocyanin-Enriched Fraction Improve Lipid Profile and Antioxidant Status in HepG2 Cells.
Strawberry-Based Cosmetic Formulations Protect Human Dermal Fibroblasts against UVA-Induced Damage.
The healthy effects of strawberry bioactive compounds on molecular pathways related to chronic diseases.
The use of natural compounds for the targeting and chemoprevention of ovarian cancer.
2016
Strawberry consumption alleviates doxorubicin-induced toxicity by suppressing oxidative stress.
Targeting Glioblastoma with the Use of Phytocompounds and Nanoparticles.
2015
A Pilot Study of the Photoprotective Effects of Strawberry-Based Cosmetic Formulations on Human Dermal Fibroblasts.
The Use of Neuroimaging to Assess Associations Among Diet, Nutrients, Metabolic Syndrome, and Alzheimer’s Disease.
1000
Criterios Éticos De Hospitalización En Personas Adultas Mayores En El Contexto De La Pandemia (COVID – 19) En Un Hospital De Quito – Ecuador, Desde Marzo Del 2020 A Enero Del 2021.
<a href="/17061/1/fspor-1-1565900.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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Background: Scientific research should be carried out to prevent sports injuries. For this purpose, new assessment technologies must be used to analyze and identify the risk factors for injury. The main objective of this systematic review was to compile, synthesize and integrate international research published in different scientific databases on Countermovement Jump (CMJ), Functional Movement Screen (FMS) and Tensiomyography (TMG) tests and technologies for the assessment of injury risk in sport. This way, this review determines the current state of the knowledge about this topic and allows a better understanding of the existing problems, making easier the development of future lines of research. Methodology: A structured search was carried out following the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines and the PICOS model until November 30, 2024, in the MEDLINE/PubMed, Web of Science (WOS), ScienceDirect, Cochrane Library, SciELO, EMBASE, SPORTDiscus and Scopus databases. The risk of bias was assessed and the PEDro scale was used to analyze methodological quality. Results: A total of 510 articles were obtained in the initial search. After inclusion and exclusion criteria, the final sample was 40 articles. These studies maintained a high standard of quality. This revealed the effects of the CMJ, FMS and TMG methods for sports injury assessment, indicating the sample population, sport modality, assessment methods, type of research design, study variables, main findings and intervention effects. Conclusions: The CMJ vertical jump allows us to evaluate the power capacity of the lower extremities, both unilaterally and bilaterally, detect neuromuscular asymmetries and evaluate fatigue. Likewise, FMS could be used to assess an athlete's basic movement patterns, mobility and postural stability. Finally, TMG is a non-invasive method to assess the contractile properties of superficial muscles, monitor the effects of training, detect muscle asymmetries, symmetries, provide information on muscle tone and evaluate fatigue. Therefore, they should be considered as assessment tests and technologies to individualize training programs and identify injury risk factors.
Álvaro Velarde-Sotres mail alvaro.velarde@uneatlantico.es, Antonio Bores-Cerezal mail antonio.bores@uneatlantico.es, Josep Alemany Iturriaga mail josep.alemany@uneatlantico.es, Julio Calleja-González mail ,
Velarde-Sotres
<a href="/17139/1/s41598-025-89266-9.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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In the rapidly evolving landscape of artificial intelligence (AI) and the Internet of Things (IoT), the significance of device diagnostics and prognostics is paramount for guaranteeing the dependable operation and upkeep of intricate systems. The capacity to precisely diagnose and preemptively predict potential failures holds the potential to considerably amplify maintenance efficiency, diminish downtime, and optimize resource allocation. The wealth of information offered by telemetry data gathered from IoT devices presents an opportunity for diagnostics and prognostics applications. However, extracting valuable insights and making well-timed decisions from this extensive data reservoir remains a formidable challenge. This study proposes a novel AI-driven framework that integrates forward chaining and backward chaining algorithms to analyze telemetry data from IoT devices. The proposed methodology utilizes rule-based inference to detect real-time anomalies and predict potential future failures, providing a dual-layered approach for diagnostics and prognostics. The results show that the diagnostics engine using forward chaining detects real-time issues like “High Temperature” and “Low Pressure,” while the prognostics engine with backward chaining predicts potential future occurrences of these issues, enabling proactive prevention measures. The experimental results demonstrate that adopting this approach could offer valuable assistance to authorities and stakeholders. Accurate early diagnosis and prediction of potential failures have the capability to greatly improve maintenance efficiency, minimize downtime, and optimize cost.
Muhammad Shoaib Farooq mail , Rizwan Pervez Mir mail , Atif Alvi mail , Kilian Tutusaus mail kilian.tutusaus@uneatlantico.es, Eduardo García Villena mail eduardo.garcia@uneatlantico.es, Fadwa Alrowais mail , Hanen Karamti mail , Imran Ashraf mail ,
Farooq
<a href="/17140/1/s41598-025-90616-w.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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Efficient CNN architecture with image sensing and algorithmic channeling for dataset harmonization
The process of image formulation uses semantic analysis to extract influential vectors from image components. The proposed approach integrates DenseNet with ResNet-50, VGG-19, and GoogLeNet using an innovative bonding process that establishes algorithmic channeling between these models. The goal targets compact efficient image feature vectors that process data in parallel regardless of input color or grayscale consistency and work across different datasets and semantic categories. Image patching techniques with corner straddling and isolated responses help detect peaks and junctions while addressing anisotropic noise through curvature-based computations and auto-correlation calculations. An integrated channeled algorithm processes the refined features by uniting local-global features with primitive-parameterized features and regioned feature vectors. Using K-nearest neighbor indexing methods analyze and retrieve images from the harmonized signature collection effectively. Extensive experimentation is performed on the state-of-the-art datasets including Caltech-101, Cifar-10, Caltech-256, Cifar-100, Corel-10000, 17-Flowers, COIL-100, FTVL Tropical Fruits, Corel-1000, and Zubud. This contribution finally endorses its standing at the peak of deep and complex image sensing analysis. A state-of-the-art deep image sensing analysis method delivers optimal channeling accuracy together with robust dataset harmonization performance.
Khadija Kanwal mail , Khawaja Tehseen Ahmad mail , Aiza Shabir mail , Li Jing mail , Helena Garay mail helena.garay@uneatlantico.es, Luis Eduardo Prado González mail uis.prado@uneatlantico.es, Hanen Karamti mail , Imran Ashraf mail ,
Kanwal
<a href="/17272/1/s41598-025-88676-z.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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The agriculture field is the basis of a country’s change and financial system. Crops are the main source of revenue for the people. One of the farmer’s most challenging problems is choosing the right crops for their land. This critical decision has a direct impact on productivity and profit. Wrong crop selection not only reduces yields but also causes food shortages, creating more problems for farmers. The best crop depends on many parameters such as illustration humidity, N, K, P, pH, rainfall, and temperature of the soil. Getting advice from experts is not an easy task. This requires intelligent models in crop recommendations that use machine-learning models to suggest suitable crops for soil and other environmental conditions. Temperature, humidity, and pH are important data for growing crops in agriculture. In this study, we gather and preprocess relevant data. To recommend the most suitable crop, we propose a novel ensemble learning approach called RFXG based on random forest (RF) and extreme gradient boosting (XGB) to suggest the best crop out of the twenty-two major crops. To measure the capability of the proposed approach, various machine learning models are utilized including extra tree classifier, multilayer perceptron, RF, decision trees, logistic regression, and XGB classifiers. To get the best performance, optimization of hyperparameter, and K-fold cross-validation procedures are performed. Experimental outcomes show that the proposed RFXG technique achieves a recommendation accuracy is 98%. Specifically, the proposed solution provides immediate recommendations to help farmers make timely decisions.
Hadeeqa Afzal mail , Madiha Amjad mail , Ali Raza mail , Kashif Munir mail , Santos Gracia Villar mail santos.gracia@uneatlantico.es, Luis Alonso Dzul López mail luis.dzul@uneatlantico.es, Imran Ashraf mail ,
Afzal
<a class="ep_document_link" href="/17450/1/ejaz-et-al-2025-fundus-image-classification-using-feature-concatenation-for-early-diagnosis-of-retinal-disease.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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Fundus image classification using feature concatenation for early diagnosis of retinal disease
Background Deep learning models assist ophthalmologists in early detection of diseases from retinal images and timely treatment. Aim Owing to robust and accurate results from deep learning models, we aim to use convolutional neural network (CNN) to provide a non-invasive method for early detection of eye diseases. Methodology We used a hybridized CNN with deep learning (DL) based on two separate CNN blocks, to identify multiple Optic Disc Cupping, Diabetic Retinopathy, Media Haze, and Healthy images. We used the RFMiD dataset, which contains various categories of fundus images representing different eye diseases. Data augmenting, resizing, coping, and one-hot encoding are used among other preprocessing techniques to improve the performance of the proposed model. Color fundus images have been analyzed by CNNs to extract relevant features. Two CCN models that extract deep features are trained in parallel. To obtain more noticeable features, the gathered features are further fused utilizing the Canonical Correlation Analysis fusion approach. To assess the effectiveness, we employed eight classification algorithms: Gradient boosting, support vector machines, voting ensemble, medium KNN, Naive Bayes, COARSE- KNN, random forest, and fine KNN. Results With the greatest accuracy of 93.39%, the ensemble learning performed better than the other algorithms. Conclusion The accuracy rates suggest that the deep learning model has learned to distinguish between different eye disease categories and healthy images effectively. It contributes to the field of eye disease detection through the analysis of color fundus images by providing a reliable and efficient diagnostic system.
Sara Ejaz mail , Hafiz U Zia mail , Fiaz Majeed mail , Umair Shafique mail , Stefanía Carvajal-Altamiranda mail stefania.carvajal@uneatlantico.es, Vivian Lipari mail vivian.lipari@uneatlantico.es, Imran Ashraf mail ,
Ejaz