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241 articles for “MD Simulations”
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Research ArticleOpen accessIn the abstractAn Efficient Cluster Head Selection in IoV-Enabled VANETs Using a Federated Diffusion Convolutional Recurrent Neural Networks FrameworkP Subhash, Madana Srinivas, A. Ranjith et al.The IoV enables the formation of VANETs that require a strong selection of CHs for effective communication within high-velocity changing traffic scenarios. Existing approaches often face issues related to scalability, privacy, and adaptability. To meet the aforementioned urgent needs, we design a decentralized scheme for intelligent CH selection based on Federated Learning with Diffusion Convolutional Recurrent Neural Networks (DCRNNs). According … …Journal of Computer Science, Vol. 22, Issue 10 · 1 Oct 2026 · 612 accessesView PDFCite
Research ArticleOpen accessIn the abstractFL-CARE: Federated Learning-Based Contention-Aware and Energy-Balanced Routing for Dense FANETsHalimjon Khujamatov, Elyanora Jolimbetova et al.In dense multi-drone FANET environments, routing efficiency is often reduced due to constant competition for a wireless channel, frequent changes in network topology, and uneven energy consumption between UAV nodes. These factors lead to a decrease in the packet delivery ratio, an increase in delays on the busiest or most unstable routes, and a reduction in the total network lifespan. … …Journal of Computer Science, Vol. 22, Issue 8 · 13 Aug 2026 · 1,181 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced Lifetime Maximization Using Metaheuristics-Based Unequal Clustering With Routing Protocol on Wireless Sensor NetworksN. E. Kanaghadhara, R. SubanThe Wireless Sensor Network (WSN) consists of spatially distributed autonomous sensors that monitor environmental or physical factors such as sound, pressure, or temperature, and pass the information directly through the network to a sink or central location. Clustering and routing are essential in WSNs to optimize their longevity, scalability, and efficiency. Clustering includes grouping Sensor Nodes (SN) into clusters, each … …Journal of Computer Science, Vol. 22, Issue 7 · 21 Jul 2026 · 686 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Satellite Custody of Moving Ground TargetsDavid SchusterMaintaining persistent custody of ground targets from Low Earth Orbit (LEO) is a key challenge in space-based surveillance and reconnaissance. Traditional rule-based tasking strategies struggle with scalability as the number of assets and targets grows. In this paper, we present a centralized Reinforcement Learning (RL) approach using Proximal Policy Optimization (PPO) to coordinate four LEO satellites tasked with tracking two … …Journal of Computer Science, Vol. 22, Issue 3 · 25 Mar 2026 · 1,583 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeurofeedback Therapy Meets Transformers: Rewiring Sleep Disorders Through AI-Driven EEG ModulationAmala Ann KA, Vaidhehi VSleep disorders such as insomnia, sleep Apnea, and hypersomnia significantly impair neurophysiological functioning, yet conventional treatments like Cognitive Behavioral Therapy for Insomnia (CBT-I) remain resource-intensive and difficult to personalize. This study introduces a novel AI-powered neurofeedback simulation framework designed to detect dysregulated EEG frequency band activity across sleep stages and simulate targeted interventions. A Transformer-based model serves as the core … …Journal of Computer Science, Vol. 22, Issue 2 · 3 Mar 2026 · 1,680 accessesView PDFCite
Research ArticleOpen accessIn the abstractUnveiling the Potential of Dombeya buettneri K.Schum As a Drug Agent: Molecular Docking of Compounds With Enzymes Linked to Diabetes and Neurodegenerative DiseaseEsther Emem Nwanna, Samuel Chima Ugbaja et al.This study investigated the mechanisms of Dombeya buettneri (snowball leafy) extracts on diabetes, hypertension, and neurodegenerative diseases. It compared extracts obtained using steep water (a by-product of corn wet milling) and aqueous water. The extracts were analyzed for total phenol, total flavonoid content, antioxidant activities such as FRAP, ABTS, NO, DPPH, iron-induced lipid peroxidation assay, degradation of deoxyribose (Fenton’s reaction), … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 1 Feb 2026 · 2,031 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of UE Location Techniques in LTE NetworksYahia Zakaria, Lubomir IvanekThe goal of this research is to evaluate the location accuracy of User Equipment (UE) in Long Term Evolution (LTE) networks which depends on the timing advance parameters. The ability to locate the subscribers through the network is considered as a significant factor in wireless communication systems. The main method to geolocation based on specified distances from many base stations … …American Journal of Applied Sciences, Vol. 14, Issue 1 · 5 Jan 2017 · 8,032 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Agent Energy Allocation Optimization in Local Energy Communities: A Comparative StudyAmira Dhorbani, Dhaker Abbes, Benoît Robyns, Kahina Hassam OuariThe growing diversity of energy demands, combined with the integration of renewable and distributed energy systems, calls for more adaptive energy management strategies. This study presents a comparative simulation-based analysis of three energy management approaches applied to a local energy community: A Multi-Agent System (MAS), a centralized rule-based method, and a game-theory-based optimization using the Alternating Direction Method of Multipliers … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 30 Dec 2025 · 3,389 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Laboratory Measured and PVTP Software DataOluwasanmi Samuel Teniola, Mercy Isaiah OkegbemiCubic Equations of State (EOS), including the Peng-Robinson (PR) and Soave-Redlich-Kwong (SRK) models, are foundational in petroleum engineering for modeling the thermodynamic behavior of hydrocarbon systems. These EOS are widely used to predict phase behavior and Pressure-Volume-Temperature (PVT) properties, which are crucial for reservoir simulation, production forecasting, and enhanced oil recovery. However, their predictive accuracy diminishes when applied to complex … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 20 Dec 2025 · 2,769 accessesView PDFCite
Research ArticleOpen accessIn the abstractUPLC-Q-Exactive Orbitrap-MS Analysis of Anchusa italica Retz. Flowers: Molecular Docking, Dynamics Modeling, and Pharmacokinetics for Cardiovascular DiseaseLinyang Wang, Yan Chen, Ainiwaer Aikemu, Shuge TianThis study builds on prior UPLC-Q-Exactive Orbit rap-MS analyses of Anchusa italica Retz. Flowers (Airfs) to explore their anti-cardiovascular mechanis·ms and key bioactive markers. UPLC-Q-Exactive Orbitrap-MS identified 30 major compounds, including polyphenols and flavonoids with strong antioxidant activity. The potential active ingredients were then screened using Lipinski's rule of five, and a network pharmacology method was employed to construct an … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 25 Oct 2025 · 2,601 accessesView PDFCite