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192 articles for “human performance”

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Research ArticleOpen accessIn the abstractMapping a Strategic Human Resource Information System for Society 5.0Glisina Dwinoor Rembulan, Evaristus Didik Madyatmadja, Johanes Fernandes Andry et al.Technology implementation in the Society 5.0 era has significant consequences for every industry, especially in the freight service sector. Era Society 5.0 emerged in anticipation of disruption due to the industrial revolution 4.0, which would degrade Human Resources (HR). The amount of information that must be managed related to HR raises problems, namely untidy data management, difficulty accessing employee data … …Journal of Computer Science, Vol. 19, Issue 10 · 18 Sep 2023 · 5,801 accessesView PDFCite
Research ArticleOpen accessIn the abstractHuman Age Predication from Face Images Based on Combining Deep Wavelet Network and Machine Learning AlgorithmsZahraa Salam Abu Ghrban, Nidhal K. EL AbbadiDue to the numerous variances in face appearance, age estimation using facial images is a difficult subject. Many factors can affect the estimation of human age such as race, face post, gender, lifestyle, etc. By considering more factors, the optimum performance may be obtained. In this study, we proposed a method to predict the age of facial images. The proposed … …Journal of Computer Science, Vol. 19, Issue 5 · 5 May 2023 · 5,568 accessesView PDFCite
Research ArticleOpen accessIn the abstractMoringa Oleifera for Enhancing Livestock Performance and Product Quality: A Bibliometric AnalysisEmrobowansan Monday Idamokoro, Augustine Suh NibaThis bibliometric analysis evaluates global research on Moringa oleifera as a feed supplement for enhancing livestock performance and product quality. A total of 95 peer-reviewed articles published between 2002 and 2023 were retrieved from Web of Science. Bibliometric indicators revealed mean citations per document of 19.89, average co-authors per document of 5.14, and an annual research growth rate of 10.73%. … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 19 Feb 2026 · 1,492 accessesView PDFCite
Literature ReviewOpen accessIn the abstractRemineralization Potential of Bioactive Composite Resins: A Systematic ReviewLuiza Maria Schneider, Maria Ritha Veiga Colognese, Poliana Maria de Faveri Cardoso et al.To evaluate the clinical performance and potential of giomer-based materials in promoting the remineralization of dental structures through a systematic review of the literature. A comprehensive literature search was conducted using PubMed, Scopus, and Web of Science databases up to March 2024. “giomer,” “S-PRG,” “bioactive restorative materials,” “remineralization,” and “dental caries.” Inclusion criteria comprised clinical studies involving human subjects, with … …Current Research in Dentistry, Vol. 17, Issue 1 · 29 Jan 2026 · 3,135 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeveloping a Linear Quadratic Regulator for Human Lower Extremity Exoskeleton RobotSk Khairul Hasan, Anoop DhingraDuring the last two decades, exoskeleton robot-assisted neurorehabilitation has received a lot of attention. The major reason for active research in robot-assisted rehabilitation is its ability to provide various types of physical therapy at different stages of physical and neurological recovery. The performance of the robot-assisted physical therapy is greatly influenced by the robot motion control system. Robot dynamics are … …Journal of Mechatronics and Robotics, Vol. 6, Issue 1 · 23 May 2022 · 7,602 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Pipelines for Intelligent Human Resources Text Classification: LLMs, RAG, and Generative AISoumia Chafi, Mustapha Kabil, Abdessamad KamoussThe digital transformation of Human Resources Information Systems (HRIS) requires advanced approaches to process unstructured textual data originating from Curriculum Vitae (CVs), cover letters, and job postings. Traditional text classification methods exhibit limitations when faced with current needs for contextual understanding and fine-grained skill detection. This paper proposes a hybrid pipeline combining advanced text classification, contrastive learning (SimCSE, Contriever), Retrieval-Augmented … …Journal of Computer Science, Vol. 22, Issue 4 · 22 Apr 2026 · 1,509 accessesView PDFCite
Research ArticleOpen accessIn the abstractKRLSMDA: Identifying Human miRNA–Disease Association Based on Similarity and Kronecker Regularized Least Squares MethodLingzhi Zhu, Weimin Gao, Guixiang Li et al.A growing number of studies have suggested that miRNAs (microRNAs) have associations with human diseases, the design and discovery of drug. But so far, we do not yet fully understand the molecular mechanism of miRNAs in the development of human diseases. Predicting miRNA-disease associations is helpful for understanding the molecular mechanism of miRNAs in the development of human diseases. However, … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 1 · 15 Mar 2021 · 6,403 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvanced Facial Emotion Recognition Using DCNN-ELM: A Comprehensive Approach to Preprocessing, Feature Extraction and Performance EvaluationBoopalan K., Satyajee Srivastava, K. Kavitha et al.As a subfield of affective computing, Facial Emotion Recognition (FER) teaches computers to read people's facial expressions to determine their emotional state. Because facial expressions convey 55% of an individual's emotional and mental state in the whole range of face-to-face communication, Facial Emotion Recognition is crucial for connecting humans and computers. Improvements in the way computer systems (robotic systems) interact … …Journal of Computer Science, Vol. 21, Issue 1 · 30 Nov 2024 · 5,899 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Sense: Deep Learning for Early Staging the Onset of Diabetes Emanating Recognition of Activity PatternsMohammed Shamsul Alam, Erfanul Hoque Bahadur, Md Fokrul Islam Khan et al.This study presents a comprehensive framework for Human Activity Recognition (HAR) using smartphone sensor data, with a specific focus on identifying activities associated with diabetic risk factors. We investigate the efficacy of two deep learning architectures (Long Short-Term Memory (LSTM) networks and Graph Convolutional Networks (GCNs)) for activity recognition under conditions of limited training data. To address data scarcity, we … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,268 accessesView PDFCite
Research ArticleOpen accessIn the abstractLippia multiflora (Verbenacae, Mold.) Leaves Dietary Supplementation Effect on Broiler Chickens’ Growth, Hematological Parameters, and Serum BiochemistryKelemin Awa Koné, Tagouèlbè Tiho, Yapo Magloire Yapi, Vama Etienne TiaThe continued overuse of synthetic antibiotics has led to microbial resistance, responsible for numerous therapeutic failures in both animal and human health. This resistance has prompted the search for natural alternatives to the use of synthetic antibiotics in the poultry sector. The essay evaluated Lippia multiflora (Lm) leaves’ effects on chickens’ growth, health, and fatty acid profile. The rearing lasted … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 23 Sep 2026 · 429 accessesView PDFCite