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481 articles for “significant performance”
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Research ArticleOpen accessIn the abstractHybrid Fog Resource Provisioning and Resource Allocation using MKFCM and FPANagarjun E, Dharamendra Chouhan, Dilip Kumar SMThe expansion of Internet of Things (IoT) deployments has motivated the Fog Computing (FC) paradigm, which brings mobile-edge and cloud resources together under a single model. Allocating and provisioning application tasks across such environments poses challenges due to constrained resource capabilities, heterogeneity, mobility, network hierarchy, and unpredictability. This paper addresses the need for additional computing devices that prioritize delay-sensitive applications … …Journal of Computer Science, Vol. 22, Issue 10 · 6 Oct 2026 · 472 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnaerobic Fermentation for Ceftriaxone Sodium Degradation in Excess Sludge: pH-Dependent Performance, Metabolite Formation, and Microbial Community DynamicsWeiwei Li, Hong Niu, Yonghui Zhang et al.The accumulation of ceftriaxone sodium (CTX), a third-generation cephalosporin antibiotic, in wastewater and sludge poses significant environmental and health risks, necessitating effective degradation strategies. This study investigated anaerobic fermentation of excess sludge (12,000-14,000 mg/L) spiked with 15 mg/L CTX under varying pH conditions (4, 7, 10, 12) to evaluate sludge reduction, metabolite formation, and microbial community dynamics. Results demonstrated that … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 31 Jul 2026 · 865 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Data Security Approach Based on GAN Teganographyand AES-RSA Encryption in a Distributed SystemDerrick Méthode Bagaza, Abraham Walake, Mamoudou Kourouma, Blaise Omer YenkeData security in distributed environments has become a major challenge due to the dispersion of resources, the expansion of the attack surface, and the increasing sophistication of cyber threats. Although traditional mechanisms such as data encryption, multi-factor authentication, and access control systems help to strengthen information protection, these approaches still have certain limitations when faced with advanced attacks and human … …Journal of Computer Science, Vol. 22, Issue 8 · 28 Jul 2026 · 1,068 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Application of the UTAUT Model to Investigate User Acceptance of Facial Recognition Technology in Mobile Banking: A Case Study from ThailandKriangsak Chanthinok, Radyan Dananjoyo, Palan JantarajaturapathThis research examines the determinants affecting consumers' willingness to embrace facial recognition technology for mobile payments in Thailand. Utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT), the study incorporates eight fundamental constructs: Performance expectancy, effort expectancy, social influence, facilitating conditions, perceived ease of use, perceived usefulness, attitude toward use, and intention to utilize facial recognition. Furthermore, demographic … …Journal of Computer Science, Vol. 22, Issue 4 · 16 Apr 2026 · 1,636 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Phytobiotic Carica Papaya Seed Extract on Growth Performance, Physiological Parameters, Gastrointestinal and Immune Organs of BroilersNovi Mayasari, Erna Ainal Mardiah, Selly Masella et al.Papaya (Carica papaya) seeds (PS) are known as a potential phytobiotic alternative to Antibiotic Growth Promotor (AGP) in poultry. Papaya seed extract (PSE) contains bioactive compounds such as carpine, chymopapain, and papain. Two hundred one-day-old Cobb strain broiler chicks were randomly allocated to five dietary treatments with four replicates per treatment, and each replicate consisted of ten birds. During the … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 1 · 13 Apr 2026 · 1,909 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Brain MR Image Quality Using CNN With Best Denoising Modality for Improved Diagnosis of Abnormality: An AppraisalKavery Verma, Subodh Srivastava, Ritesh Kumar MishraDigital medical images acquired from the brain are highly susceptible to noise, which causes significant challenges for radiologists to identify abnormalities in a precise manner. Noise interference hampers both diagnostic accuracy and the interpretation of underlying abnormalities, potentially leading to flaw conclusions. Magnetic Resonance (MR) imaging is the most preferred digital imaging technique for brain abnormality detection. To achieve precise … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,470 accessesView PDFCite
Research ArticleOpen accessIn the abstractSenior Expertise and Peer Consensus: A Comparative Analysis of AI and Clinician Measurements in Multi-Curve Scoliosis AssessmentFrank Ibañez Elijorde, Joselito F. Villaruz, Ma Beth S. Concepcion, Mylo N. SoriasoGiven the scarcity in the literature, this study explored the use of AI for multi-curve scoliosis assessment. Its performance was analyzed through comparison against a group of clinicians composed of one senior and five non-senior orthopedic surgeons. The analysis focused on Cobb angle measurement and identification of vertebral endplates across three curve regions, namely Main Thoracic (MT), Proximal Thoracic (PT), … …Journal of Computer Science, Vol. 22, Issue 3 · 9 Mar 2026 · 1,396 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Study of Resampling, Cost-Sensitive, and Ensemble Techniques for Handling Class Imbalance in Indonesian Financial DataGunawan Kurnia, Ditdit Nugeraha UtamaHandling class imbalance is a critical challenge in machine learning applications, particularly in financial domains where minority instances often represent significant anomalies such as fraud or audit risks. Various oversampling and undersampling methods were tested, alongside cost-sensitive adjustments and ensemble models including Random Forest, AdaBoost, Gradient Boosting, and XGBoost. The evaluation, based on 10-fold stratified cross-validation and performance metrics such … …Journal of Computer Science, Vol. 22, Issue 2 · 27 Feb 2026 · 1,882 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficacy of Murraya paniculata Leaf Flour in Reducing Subclinical Mastitis in Dairy Goats Fed Date Pulp-Based DietsDwierra Evvyernie, Endah Yuniarti, Rika Zahera, Anuraga JayanegaraSubclinical mastitis is a major concern in dairy production, leading to economic losses and antibiotic dependence, which poses risks of milk residue contamination. As a natural alternative, orange jasmine (Murraya paniculata) leaves, rich in flavonoids, exhibit antimicrobial and anti-inflammatory properties. This study investigated the effects of incorporating date pulp and orange jasmine leaf flour (OLF) into the diets of lactating … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 21 Feb 2026 · 1,598 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassifcation of Social Media Posts X For Mental Health Symptoms Identification Using NLP Techniques and Transformers ModelAndika Dwi Asmoro Wicaksono, RojaliThe increasing use of social media has enabled large-scale analysis of user-generated content to monitor mental health trends. This study focuses on sentiment prediction of mental health-related posts on platform X using transformer-based models, specifically IndoBERT, DistilBERT, and IndoRoBERTa. The goal is to evaluate the effectiveness of these models in classifying social media posts into positive, negative, and neutral sentiment … …Journal of Computer Science, Vol. 22, Issue 1 · 11 Feb 2026 · 1,862 accessesView PDFCite