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Research ArticleOpen accessEvery word in the titleExplainability Aware Heterogeneous Temporal Graph Transformer for Automated Genetic Disorder Detection from Genomic DataPuvaneswari Subramaniapillai, Indirani Govindasamy, Revathy GurumurthyGenetic disorders affect millions worldwide, posing major challenges for accurate diagnosis and effective treatments. New developments in genomic technologies, especially Next-Generation Sequencing (NGS), have enhanced the classification of genetic modification and improved diagnostic abilities. Moreover, the Machine Learning (ML) and Deep Learning (DL) methods emerged as efficient tools for evaluating the intricate genomic data and determining the patterns, which can … …Journal of Computer Science, Vol. 22, Issue 11 · 14 Oct 2026 · 566 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStudent Course Recommendation System Using Semantic Aware Temporal Gating With Time TransformerJoshi Vinay Kumar, Dahlia Sam, N. KanyaCourse recommendation system works by analyzing users’ interests and recognizes their historical behavior such as course enrollment and previously watched videos to recommend relevant courses. However, the existing course recommendation systems in Massive Open Online Courses (MOOCs) face challenges in capturing complex semantic information, which impacts student requirements with an unsatisfied recommendation. By combining historical behaviors without temporal awareness, the … …Journal of Computer Science, Vol. 22, Issue 11 · 9 Oct 2026 · 580 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBERT-Based Temporal Sentiment Analysis of Saudi Tourism EventsAhmed AlharbiThis study applies a BERT-based temporal sentiment analysis framework to examine English-language social media discourse surrounding major tourism and sporting events hosted in Saudi Arabia. A dataset of 10,000 tweets collected between December 2023 and December 2024, including discussions related to the FIFA Club World Cup, Formula 1 Saudi Arabian Grand Prix, and other major Saudi-hosted sporting events, was analyzed … …Journal of Computer Science, Vol. 22, Issue 9 · 19 Sep 2026 · 568 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing 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 · 2,015 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Context-Aware Temporal Convolutional Network for Water Replacement Prediction in Catfish Biofloc Ponds With Imbalanced Event HandlingYaddarabullah, Inanpi Hidayati Sumiasih, Mutiara Dewi PuspitawatiWater replacement is a biologically critical yet under-automated decision in biofloc-based aquaculture systems. Mistimed actions can destabilize microbial ecosystems, elevate fish mortality, and compromise sustainability through excessive water usage. Traditional rule-based heuristics often fail to account for the nonlinear and multiscale dynamics of pond environments. To address this, we propose a Context-Aware Temporal Convolutional Network (CA-TCN), a rare-event classification framework … …Journal of Computer Science, Vol. 22, Issue 3 · 5 Mar 2026 · 1,664 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnalyzing Temperature-Dependent Thermal Properties of Biomaterials Using Machine Learning MethodsArmaghan Shalbaftabar, Kristen Rhinehardt, Dhananjay KumarThis research utilizes machine learning models ANN, Random Forest, and Decision Tree to predict material properties of Ti-based biomaterials, including Young’s modulus, density, thermal conductivity, and specific heat at various temperatures. Data was sourced using web scraping and Plot Digitizer, validated against literature, and analyzed in Excel. The ANN model achieved strong performance, with R² = 0.980874 for TiAl and … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 12 Sep 2025 · 4,634 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnalyzing Temperature-Dependent Thermal Properties of Titanium Aluminide Using ANN Predictive ModelingArmaghan Shalbaftabar, Kristen Rhinehardt, Dhananjay KumarThis study presents a comprehensive analysis of the thermal behavior of Titanium Aluminide (TiAl) across a range of temperatures using an Artificial Neural Network (ANN) predictive model. The study investigates various material properties of TiAl, including Band Gap, Young Module, Density, Energy Absorption, Thermal Conductivity, and Specific Heat, at different temperature points. The ANN model accurately captures the temperature-dependent trends … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 4 · 20 Nov 2024 · 4,308 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEffects of Soil Storage at Freezing Temperatures on Soil Enzymatic ActivitiesAinsley Lougheed, Kabwe NkongoloSoil enzyme activities are good indicators of soil health. It has been hypothesized that soil storage before analysis might affect microbial function. The objective of the present study was to determine if soil storage at -20 and -80°C affects soil enzymatic activities. Soil samples were collected and stored for four weeks at -20 and -80°C. Activities of nine enzymes were … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 3 · 12 Aug 2024 · 4,984 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimization of Biochar Quality from Palm and Cacao Waste through Variation of Pyrolysis Temperature and Duration as a Soil Amendment MaterialIwan Saputra, Sugeng Prijono et al.Palm and cacao waste are high-quality raw materials for producing quality biochar that enhances soil fertility, provided that the biochar production process takes into account various aspects of pyrolysis. The pyrolysis conditions, such as temperature and duration, significantly impact the quality of the biochar produced as a soil amendment. The type of raw material, pyrolysis temperature, duration, and other conditions … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 27 Jul 2024 · 5,558 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSpikelets Fertility and Quality of Local Upland Rice (Oryza sativa L.) Seeds Due to High Temperature at Various StagesRisky Ridha, Ellis Nihayati et al.Stress from high temperatures is one of the factors that restrict rice plant growth and development. Rice generative stage sensitivity to high temperatures is well established, but its vegetative stage sensitivity is more uncertain. To identify high-temperature tolerance traits in the vegetative and generative stages, four local upland rice genotypes were tested under high-temperature stress treatment (32-36°C) during the vegetative … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 22 Jul 2024 · 5,009 accessesView PDFCite