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42 results for “systematic evaluation”
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Research ArticleOpen accessPhrase in the titleSystematic Evaluation of Image-Based NPR Applied to VideoAlberto F.F. de Barros, Jose E.R. de Queiroz, Herman M. GomesIn this article, it was studied the effect of state-of-the-art approaches for Non-Photorealistic Rendering (NPR), originally developed for static images, when applied to videos. Six criteria were objectively evaluated (using a 5-point Likert scales): Simplicity, content preservation, resemblance to the original content, sharpness, temporal coherence and subjective satisfaction. Sixty participants and a dataset of 30 videos of different genres were … …Journal of Computer Science, Vol. 16, Issue 4 · 29 Apr 2020 · 7,277 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPerformance Evaluation a Teaching Hospital Affiliated to Tehran University of Medical Sciences Based on Baldrige Excellence ModelFereshteh Farzianpour, Sara Aghababa, Bahram Delgoshaei, Marjan HaghgooProblem statement: Today, organizations are willing to achieve quality as a source of competitive advantage. Therefore, their performance evaluation and quality improvement is essential. One of the international models in this field is Baldrige health care model. Approach: The study aimed to evaluate Performance Evaluation a teaching Hospital Affiliated to Tehran University of Medical Sciences Based on Baldrige Excellence Model. … …American Journal of Economics and Business Administration, Vol. 3, Issue 2 · 7 Apr 2011 · 8,028 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUncommon Toxicologic Profile at Toxic Doses of CPI-613 (an Agent Selectively Alters Tumor Energy Metabolism) in Rats and Minipigs Reflects Novel MechanismClaudia Maturo, King C. Lee, Robert Rodriguez, Robert ShorrProblem statement: CPI-613 is a novel anticancer agent and the toxicological profile has not been assessed. Accordingly, the objective of these studies was to thoroughly evaluate the Toxicokinetic (TK) effects of CPI-613 in rats and to compare the toxicological profile of rats to minipigs to determine if there were differences between the two animal species. Approach: These studies involved assessments … …American Journal of Pharmacology and Toxicology, Vol. 5, Issue 4 · 13 Jun 2011 · 9,582 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Review of Artificial Intelligence and Deep Learning Approaches for Cocoa Pod Disease DetectionHenry Techie-Menson, Michael Asante, Yaw Marfo Missah et al.Cocoa pod diseases destroy an estimated 700,000 metric tons of cocoa annually, threatening 40–50 million smallholder farmers across tropical regions. Accurate field diagnosis remains constrained by symptom similarity, labour-intensive scouting, and limited specialist access in remote communities. This paper presents a PRISMA-guided systematic review of 25 peer-reviewed studies on automated cocoa pod disease detection and classification (2016–2026), addressing architectural approaches, … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 733 accessesView PDFCite
Review ArticleOpen accessIn the abstractHuman Activity Recognition at the Edge: A Systematic Review of Machine Learning Models, Deployment Constraints, and Latency Energy Accuracy Trade offsJose Antonio Rojas Guillén, Wini Ebelin Quispe Bautista, Arturo Gamarra MorenoHuman Activity Recognition (HAR) has become a key component of intelligent healthcare monitoring, assisted living, sports analytics, smart environments, and wearable computing. However, the migration of HAR models from cloud-centered architectures to edge, embedded, mobile, and wearable platforms introduces constraints related to computational capacity, memory footprint, battery consumption, inference time, and real-time responsiveness. This study presents a systematic literature review … …Journal of Computer Science, Vol. 22, Issue 8 · 7 Sep 2026 · 593 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Fraud Detection Methods in Banking Using Machine Learning TechniquesYoussef Tounsi, Ennouri TaziFraud detection in banking requires algorithms that balance classification performance, computational efficiency, and regulatory interpretability, criteria that are rarely benchmarked together. We present a comprehensive evaluation of nine machine learning approaches (Logistic Regression, Decision Tree, Random Forest, SVM, SGD, XGBoost, CatBoost, LightGBM, and MLP) across three datasets differing in size, imbalance severity, and feature type (synthetic, real-world PCA-anonymized, and large-scale … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,341 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Systematic Review of Metaheuristic-Metaheuristic (MH-MH) Hybridizations for OptimizationAugustina Dede Agor, Frank Kataka Banaseka, Prince Silas Kwesi Oberko et al.This systematic review following the PRISMA framework analyzes metaheuristic-metaheuristic (MH-MH) hybridizations published between January and October 2024 to uncover patterns of algorithmic dominance, functional roles and integration strategies, metaphor-based partnerships, domain mappings and evaluation orientations. Frequency mapping of 105 canonical algorithms identified Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), and Whale Optimization Algorithm (WOA) as the three most recurrent … …Journal of Computer Science, Vol. 22, Issue 2 · 4 Mar 2026 · 2,183 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystematic Literature Review of Graph Neural Networks in Disaster Management: Methods, Applications, and Future DirectionsSularno, Wendi Boy, Putri Anggraini et al.The increasing frequency and complexity of natural disasters underscore the urgent need for intelligent systems that support timely and effective decision-making. Graph Neural Networks (GNNs) have emerged as a powerful deep-learning paradigm for modeling spatial and relational data, offering distinct advantages for disaster management. This study presents a Systematic Literature Review (SLR) of GNN-based approaches for disaster mitigation, emergency response, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,036 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerson Re-Identification From Video Surveillance Systems Using Artificial Intelligence MethodsRevathi Lavanya Baggam, Vatsavayi Valli KumariThe study explores use of deep learning models in person re identification, leveraging the advancements made in face recognition however the abundance of model choices presents a challenge in selecting the optimal architecture. The study proposes a comprehensive framework for evaluating deep learning models on person re-identification tasks by considering various performance metrics, dataset preprocessing methods, model architectures, and evaluation … …Journal of Computer Science, Vol. 21, Issue 8 · 19 Sep 2025 · 4,836 accessesView PDFCite
Literature ReviewOpen accessIn the abstractA Systematic Review of the Prevalence of Avian Hepatitis E Virus in Bird’s Husbandry Worldwide, 2000-2023 Prevalence of Avian Hepatitis E VirusJorge Eduardo Forero Duarte, Leonardo Alzate Mejía, Jaiberth Antonio Cardona-AriasAvian Hepatitis E virus (aHEV) constitutes a serious animal health problem and involves significant losses in poultry production; however, epidemiological evidence is scattered. Analyze the prevalence of aHEV infection in bird husbandry and its histopathological and phylogenetic characteristics based on scientific publications worldwide from 2000- 2023.Systematic review applying the Johanna Briggs Institute guidelines and the PRISMA guide. Exhaustiveness, reproducibility, and … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 4 · 27 Nov 2024 · 4,150 accessesView PDFCite