A Secure and Scalable Authentication and Communication Protocol for Smart Grids by Muhammad Asfand Hafeez, Kazi Hassan Shakib, Arslan Munir

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Interpersonal Relationship Detection Using Multi-Head Graph Attention Networks With Multi-Feature Fusion by Simge Akay, Duygu Cakir, Nafiz Arica

“…The model’s performance is evaluated on two benchmark datasets: the Interpersonal Relation Dataset (IPR) and People in Social Context (PISC). …”
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Network Congestion Tracking and Detection in Banking Industry Using Machine Learning Models by Kingsley Ifeanyi Chibueze, Nwamaka Georgenia Ezeji, Nnenna Harmony Nwobodo-Nzeribe

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Determining Tropical Cyclone Centers in Western North Pacific Basin Using an MBAF Model From Himawari-8 Satellite Images by Chenzhuo Xie, Rui Zhang, Luhui Yue

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Adapting an English Corpus and a Question Answering System for Slovene by Uroš Šmajdek, Matjaž Zupanič, Maj Zirkelbach, Meta Jazbinšek

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Glucose interpretation meaning and action (GIMA): Insights to blood glucose user interface interpretation in type 1 diabetes by Rujiravee Kongdee, Bijan Parsia, Hood Thabit, Simon Harper

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Adaptive Federated Learning With Reinforcement Learning-Based Client Selection for Heterogeneous Environments by Shamim Ahmed, M. Shamim Kaiser, Sudipto Chaki, A. B. M. Shawkat Ali

“…For local model training, Random Forest (RF) classifiers are employed to ensure robustness to noise, class imbalance, and limited computational resources, particularly in privacy-sensitive healthcare settings. …”
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Hybrid Feature Selection and Classifying Stages through Electrocardiogram (ECG) Signal for Heart Disease Prediction by Babu Kumar, Radhakrishnan Soundararajan, Kanimozhi Natesan, Roobini Maridhas Santhi

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A PLS-SEM for ERP Adoption Readiness in Government Organizations: A TOEPP Conceptual Model by R. Wahjoe Witjaksono, Tri Kuntoro Priyambodo, Mardhani Riasetiawan

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Exploring systemic effects of the friendship paradox on social network participation by Ahmed Medhat, Shankar Iyer

“…We analyze how sharing rates trend when it is dictated by both observed feedback disparities and activity thresholds for collective behavior. We also evaluate the iterative impact of FIT on network nodes, as a measure of node centrality in a network, finding it to have the ability to identify central nodes at a community level and to do so at a lower computational complexity than community detection, a property not matched by commonly used node centrality methods such as betweeness, closeness and degree centrality.…”
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Performance Comparison of Vertex Block Descent and Position Based Dynamics Algorithms Using Cloth Simulation in Unity by Jun Ma, Nak-Jun Sung, Min-Hyung Choi, Min Hong

“…The comparison was conducted using CPU-based computation to establish a baseline for future studies in GPU-accelerated environments, where parallel processing is expected to further highlight the performance advantages of VBD. …”
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Low latency Montgomery multiplier for cryptographic applications by khalid javeed, Muhammad Huzaifa, Safiullah Khan, Atif Raza Jafri

“…The proposed design is evaluated on the basis of computational time, area consumption, and throughput. …”
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Driver Drowsiness Detection Using Swin Transformer and Diffusion Models for Robust Image Denoising by Samy Abd El-Nabi, Ahmed F. Ibrahim, El-Sayed M. El-Rabaie, Osama F. Hassan, Naglaa F. Soliman, Khalil F. Ramadan, Walid El-Shafai

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Neural Projected Quantum Dynamics: a systematic study by Luca Gravina, Vincenzo Savona, Filippo Vicentini

“…We investigate the challenge of classical simulation of unitary quantum dynamics with variational Monte Carlo approaches, addressing the instabilities and high computational demands of existing methods. By systematically analyzing the convergence of stochastic infidelity optimizations, examining the variance properties of key stochastic estimators, and evaluating the error scaling of multiple dynamical discretization schemes, we provide a thorough formalization and significant improvements to the projected time-dependent Variational Monte Carlo (p-tVMC) method. …”
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Mapping artificial intelligence models in emergency medicine: A scoping review on artificial intelligence performance in emergency care and education by Göksu Bozdereli Berikol, Altuğ Kanbakan, Buğra Ilhan, Fatih Doğanay

“…In education, large language models have provided high accuracy rates in evaluating emergency medicine exams. However, there are still challenges in the integration of AI into clinical workflows and model generalization capacity. …”
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An Unstructured Mesh Generation Tool for Efficient High‐Resolution Representation of Spatial Heterogeneity in Land Surface Models by Hanwen Fan, Qingchen Xu, Fan Bai, Zhongwang Wei, Yonggen Zhang, Xingjie Lu, Nan Wei, Shupeng Zhang, Hua Yuan, Shaofeng Liu, XianXiang Li, Xueyan Li, Yongjiu Dai

“…The tool is coupled with the Common Land Model (CoLM) to enable land surface simulations using unstructured meshes. Evaluations focused on runoff, river discharge, and inundation indicate improved model performance compared to traditional structured mesh‐based CoLM simulations under the same computational cost constraints. …”
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Photonic crystal with a defect layer of silicon containing polymer nanocomposites as radiation detector by Zaky A. Zaky, V. D. Zhaketov, S. V. Kozhevnikov, Mohammed Sallah

“…The transfer matrix method is utilized as a computational tool to evaluate the transmittance properties of the proposed detector. …”
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Global forecasting models for residential load flexibility and grid optimization by Lorenzo Nespoli, Lorenzo Nespoli, Vasco Medici

“…Our results demonstrate that the forecaster’s high accuracy permits bypassing the full simulation during optimization, thereby significantly reducing computational requirements while ensuring near-real-time economic performance evaluations. …”
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Tensions et convergences dans la conception de nouveaux outils d’intelligence artificielle pour l’oncologie : le cas de la radiomique by Giulia Anichini, Léo Mignot

“…Therefore, various standards are applied to evaluate these new imaging biomarkers and their success depends on the articulation between medical and computational knowledge.…”
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Calculation of the electron stopping power of some components of human body tissues by Itab F. Hussein, Rana O. Abdaljalil, Sahar A. Mohammed, Ahmed F. Mkhaiber

“…A semi-empirical formula was found to compute the total electron stopping power of electrons of these targets for a given electron energy. …”
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