SynHAR: Augmenting Human Activity Recognition With Synthetic Inertial Sensor Data Generated From Human Surface Models by Lena Uhlenberg, Lars Ole Haeusler, Oliver Amft

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Enhancing public cloud resilience: an analytical review of detection and mitigation strategies against economic denial of sustainability attacks by Zubaidi Maytham Sahar Saeed, Anazida Binti Zainal, Fuad A. Ghaleb, Bander Ali Saleh Al-rimy

“…Beyond merely cataloguing these methods, this review provides a novel analytical synthesis by categorizing defense strategies into detection, prevention, mitigation, and hybrid models, and critically evaluating them against factors such as scalability, computational overhead, and false-positive rates. …”
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Virtual Machine Proactive Fault Tolerance Using Log-Based Anomaly Detection by Pratheek Senevirathne, Samindu Cooray, Jerome Dinal Herath, Dinuni Fernando

“…Virtual Machine (VM) fault tolerance ensures high availability in cloud computing environments. Proactive fault tolerance strategies avert service disruptions by detecting potential failures before they occur and migrating the VMs to healthy hosts. …”
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A Temporal Attention-Based SARIMA-BiLSTM Residual Learning Model Tuned by Grey Wolf Optimizer for Parallel Urban Traffic Forecasting by Manas Kamal Das, Christopher Columbus Chinnappan, E. Elakiya

“…Furthermore, the entire pipeline is adapted for parallel execution to improve scalability and reduce computational latency, enabling faster processing of large-scale traffic data. …”
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PPSC: High-Precision and Scalable Encrypted Privacy-Preserving Speech Classification by WANG Leilei, SONG Kao, ZHANG Yuanyuan, BI Renwan, XIONG Jinbo

“…This ensures the privacy of speech data, speech classification models, and intermediate computing results. Finally, a detailed theoretical analysis of the PPSC scheme is conducted to evaluate its effectiveness and security. …”
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An Automated Clubbed Fingers Detection System Based on YOLOv8 and U-Net: A Tool for Early Prediction of Lung and Cardiovascular Diseases by Wen-Shin Hsu, Guan-Tsen Liu, Su-Juan Chen, Si-Yu Wei, Wei-Hsun Wang

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An Integrated Process-Network Load Balancing in Edge-Assisted Autonomous Vehicles Using Multimodal Applications With Shared Workloads by Sinuk Choi, Pyeongjun Choi, Donghyeon Kim, Jeongho Kwak, Ji-Woong Choi

“…Recently, as computing-intensive services such as object recognition for autonomous vehicles have increased, power consumption and computational loads of vehicles have been prominent. …”
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Noise Calculation Technique Using Time Varying Model by Saber Izadpanah Tous, Mahmoud Behroozi, Ehsan Kargaran, Hooman Nabovati

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A Multi-Objective Approach for Optimizing Virtual Machine Placement Using ILP and Tabu Search by Mohamed Koubàa, Rym Regaieg, Abdullah S. Karar, Muhammad Nadeem, Faouzi Bahloul

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Distributed Collaborative Data Processing Framework for Unmanned Platforms Based on Federated Edge Intelligence by Siyang Liu, Nanliang Shan, Xianqiang Bao, Xinghua Xu

“…This architecture integrates federated learning for privacy protection, leverages the advantages of distributed model training, and utilizes edge computing’s near-source data processing capabilities. …”
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Timing Method for the Isoland Signalized Intersection Considering the Traffic Uncertainty by LING Mo;WU Zhen;GUO Jianhua

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AISLEX: Approximate individual sample learning entropy with JAX by Ondrej Budik, Milan Novak, Florian Sobieczky, Ivo Bukovsky

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A geometric approach for accelerating neural networks designed for classification problems by Mohsen Saffar, Ahmad Kalhor, Ali Habibnia

“…Abstract This paper proposes a geometric-based technique for compressing convolutional neural networks to accelerate computations and improve generalization by eliminating non-informative components. …”
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CNCRP Manual Based Seismic Evaluation and Retrofitting of Existing RC Buildings: A Case Study by Debasish Sen, Md. Kamruddoja Shihab, Md. Farhad Momin

“…After evaluation, some floors were found vulnerable, and the necessary reinforcement specifications were computed following the CNCRP retrofit manual (2015). …”
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Electromagnetic Modeling of Superconducting Bulks in Applied Time-Varying Magnetic Field by Hocine Menana

“…The comparison results show the accuracy of the model and its performances in terms of computation time compared to classical approaches.…”
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Rethinking Metaheuristics: Unveiling the Myth of “Novelty” in Metaheuristic Algorithms by Chia-Hung Wang, Kun Hu, Xiaojing Wu, Yufeng Ou

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A Review of Facial Thermography Assessment for Vital Signs Estimation by Syaidatus Syahira Ahmad Tarmizi, Nor Surayahani Suriani, Fadilla 'Atyka Nor Rashid

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An Online Tool for Correcting Performance Measures of Electronic Phenotyping Algorithms for Verification Bias by Ajay Bhasin, Sue Bielinski, Abel N. Kho, Nicholas Larson, Laura J. Rasmussen-Torvik

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The Pragmatist in Context of a National Science Foundation Supported Grant Program Evaluation: Guidelines and Paradigms by Margaret E. Ross, N. Hari Narayanan, Theron Dean Hendrix, Lakshman Sundeep Myneni

“…The discussion is couched in the evaluation of an innovative approach to teaching computer science. …”
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Enhancing CNN-Based Signal Denoising: A Novel Metric Framework With Harmonic Suppression Through Hybrid Modeling by Omer Nacar, Turgay Koc

“…These findings highlight significant performance trade-offs and demonstrate that the optimal model choice is highly context-dependent (noise type, SNR, computational budget). Comprehensive out-of-distribution evaluations and metrics that account for harmonic content are essential for choosing dependable denoising models in real-world settings.…”
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