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Research ArticleOpen accessIn the abstractHybrid Soft Voting Ensemble of XGBoost and DNN for At-Risk Student Performance PredictionEugene Wan, Po Chan Chiu, Mohammad bin Hossin et al.Early identification of at-risk students in higher education is important for timely academic intervention, yet conventional prediction methods often struggle with data imbalance and limited model precision. This study proposes a hybrid soft voting ensemble model that integrates Extreme Gradient Boosting (XGBoost) and Deep Neural Network (DNN) to enhance multi-class student grade prediction (A-F classification) and at-risk student identification. This … …Journal of Computer Science, Vol. 22, Issue 5 · 28 May 2026 · 1,404 accessesView PDFCite
Research ArticleOpen accessIn the abstractCytotoxicity Evaluation of Curcumin-FITC Conjugates in Granulosa Cells Isolated from Ovarian Follicles of Kampung Chicken (Gallus gallus domesticus)Sukarman Hadi Jaya Putra, Mansur S, UmarudinLinking curcumin to fluorescein isothiocyanate (FITC) results in a hybrid fluorescent marker (curcumin-FITC) that exhibits improved stability and sensitivity in detection. This study sought to evaluate the biological safety and cytotoxic effects of curcumin-FITC on granulosa cells obtained from ovarian follicles (2-5 mm, F1-F4 stage) of Kampung chickens. Following fluorescent labeling with different concentrations of curcumin-FITC (0-100 μg/mL), cell viability … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 14 May 2026 · 1,503 accessesView PDFCite
Research ArticleOpen accessIn the abstractAI-Integrated Probabilistic Optimization for Inventory Control Under Stochastic DemandJanardan BeheraThe identification and operationalization of increasingly nonstationary and volatile demand patterns challenge the conduct of inventory management in contemporary supply chains. The classical models, especially EOQ and static policies, rest on the stability of demand assumptions, either deterministically or distributionally, and are hence less apt under real-world uncertainty. In view of these limitations, the present study puts forward an integrated … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 6 May 2026 · 2,227 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of Exogenous Heavy Metal Pesticide Residues in Traditional Chinese Medicine Based on Fluorescent Carbon Quantum DotsYanan He, Shuyin WangThe analysis method based on fluorescent probes has received increasing attention due to its high sensitivity, fast response, and real-time visualization characteristics. Therefore, the application of fluorescent probes for rapid detection of heavy metal pesticide residues in traditional Chinese medicine is of great significance. This study innovatively synthesized B/N co-doped carbon quantum dots using 3-aminophenylboronic acid as the raw material, … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 10 Apr 2026 · 1,616 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Deep Learning for Kidney Stone Detection in CT Scans With Noise Reduction and Feature EnhancementU. M. Fernandes Dimlo, Sreenu Banoth, Priti Bihade et al.The identification of kidney stones using CT scans is an essential but difficult effort in medical diagnostics, frequently obstructed by imaging noise and the complexity of manual interpretation. Although conventional methods are widely used, they suffer from inaccuracies and inefficiencies, necessitating the development of automated diagnostic solutions. This study tackles these issues by presenting HDCNRNet, a hybrid deep learning network … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 2,174 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Video Tampering Detection Using Dynamic Temporal LSTM With Adaptive CNNGurpreet Kour Khalsa, Rakesh Ahuja, Rattan Deep AnejaIn the domain of information technology, video tampering detection has become hyper critical principally with the increase in deep fake as everyone is having affordable access to the internet. The long established methods lack in detecting the manipulated content specifically for temporal disordered and variant frames. In order to overcome such issues, the suggested innovative method encompasses Dynamic Temporal Warping … …Journal of Computer Science, Vol. 22, Issue 3 · 7 Mar 2026 · 2,022 accessesView PDFCite
Research ArticleOpen accessIn the abstractCascaded MNetV3UNet: A Lightweight Two-Stage Architecture for High-Precision Brain Tumor Segmentation in MRIMayuri Popat, Sanskruti PatelPrecise brain tumor segmentation is an essential but quite challenging process in MRI images because of their irregular shapes, heterogeneous appearance, and low contrast with surrounding tissues. While U-Net-based architectures have achieved significant success, their high computational complexity limits deployment on resource-constrained systems. In this study, a Novel two-stage cascaded architecture, MNetV3UNet, is introduced, which employs the light-weight MobileNetV3-Large as … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,793 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of the Cytogenetic Status, Genome Instability, and Adaptive Potential of the Kazakh Tobet DogOksana Cherednichenko, Anastassiya Pilyugina, Dinara Azizbekova et al.In recent years, interest in indigenous dog breeds has increased. The Tobet is a unique breed of Kazakh livestock guardian dogs adapted to nomadic pastoralism that developed over thousands of years across Central Asia and Turkestan. Currently, the Tobet breed faces critical endangerment. Its conservation and sustainable breeding require thorough analysis of hereditary characteristics, genome stability, and adaptive potential. In … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 19 Feb 2026 · 1,896 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Grey Wolf Optimizer and Deep Transfer Learning-Based Intrusion Detection System for IoTKapil Shrivastava, Manish Tiwari, Prasun ChakrabartiThe rapid proliferation of Internet of Things (IoT) devices has driven significant advancements in connectivity and automation, but it has also introduced substantial cybersecurity risks, including intrusions and cyberattacks. To address these challenges, this study proposes a hybrid intrusion detection framework that combines advanced optimization techniques with ensemble deep learning to enhance detection accuracy and computational efficiency. The proposed framework … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 1,512 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Food Expenditures in Nigeria: A Case Study of Lafia, Nasarawa StateOlusola Collins Akeremale, Imam Akeyede, Ishaku Audu, Adekemi O. AkeremaleCurrently, the prices of commodities in Nigeria are consistently rising owing to several variables, including economic conditions, political influences, and technical progress. Consequently, the cost of essential items, including food, has risen significantly. Consequently, they often disregard nutritious dietary habits and fail to obtain adequate daily nutrients. This will lead to several repercussions, including diseases, disorders, and less vitality for … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 12 Feb 2026 · 2,536 accessesView PDFCite