Dynamic Adaptation for Independent Task Scheduling Using Dynamic Programming in Multiprocessor Systems by Lotfi BENDIAF, Ahmed HARBOUCHE, Mohammed Amin TAHRAOUI

“…Efficient scheduling requires optimizing competing objectives, such as minimizing makespan and maximizing processor utilization, to ensure that resources are used effectively. In this work, we propose DYnamic Task Allocation using dynamic programminG (DyTAg), a task scheduling algorithm based on dynamic programming, designed to support dynamic adaptation in HCS. …”
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A Systematic Approach for PLL-Based Zeta Power Converter Control by Nader El-Zarif, Christian Jesus B. Fayomi, Mohamed Ali, Mostafa Amer, Ahmad Hassan, Yvon Savaria

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Neural network inspired efficient scalable task scheduling for cloud infrastructure by Punit Gupta, Arnaav Anand, Pratyush Agarwal, Gavin McArdle

“…The rapid development of Cloud Computing in the 21st Century is landmark occasion, not only in the field of technology, but also in the field of engineering and services. …”
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Optimization of management of patients with critical lower limb ischemia, allowing for risk of gangrene by A. V. Bykov, N. A. Korenevsky, S. A. Parkhomenko, I. I. Khripina

“…The obtained mathematical models should be used in the medical practice of vascular surgeons and angiologists, both in the form of software for smartphones and tablet computers, and as part of decision support systems, including telemedicine systems.…”
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Fault Diagnosis in a Four-Arm Delta Robot Based on Wavelet Scattering Networks and Artificial Intelligence Techniques by Claudio Urrea, Carlos Domínguez

“…This study compares time-domain signal features and wavelet scattering networks, applied by classification algorithms including wide neural networks (WNNs), efficient linear support vector machine (ELSVM), efficient logistic regression (ELR), and kernel naive Bayes (KNB). …”
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Exploring the antihypertensive potential of natural compounds from Zygophyllum sp plant: An in-silico investigation of ACE inhibition by Bouchentouf Salim, Arbi Bouziane, Kowalska Grazyna, Kowalski Radoslaw

“…Using molecular docking methodology, we investigated the inhibitory effects of these compounds on the ACE enzyme (PDB: 1UZF). Our work demonstrated that several molecules exhibited promising binding scores compared to established reference ligands, suggesting potential ACE-inhibiting properties. …”
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Development of Advanced Machine Learning Models for Predicting CO₂ Solubility in Brine by Xuejia Du, Ganesh C. Thakur

“…This work demonstrates the robustness and adaptability of ML approaches for modeling complex subsurface conditions, paving the way for optimized carbon sequestration strategies.…”
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On development of in-core fuel system for PWR reactors: Part I generation of macroscopic cross sections using SCALE 6.0 for use in nodal calculation by Pedro Henrique Silva Rodrigues, José Rubens Maiorino, Roberto Asano Júnior

“…The cross sections are generated with the support of SCALE 6.0, computational platform developed by the Reactor and Nuclear Systems Division (RNSD), from the Oak Ridge National Laboratory (ORNL). …”
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The applications of CT with artificial intelligence in the prognostic model of idiopathic pulmonary fibrosis by Zeyu Chen, Zheng Lin, Zihan Lin, Qi Zhang, Haoyun Zhang, Haiwen Li, Qing Chang, Jianqi Sun, Feng Li

“…It reveals the current limitations and prospects of AI-aid models, and helps clinicians to recognize the AI algorithms and apply them to more clinical work.…”
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A factor analysis based automatic optimization method of vibration sensor points for ship acoustic reconstruction by Linchang Ye, Yun Liu, Zongpeng Tong, Zhaowang Xia, Wenkun Fan, Chunyu Zhang, Junhua Guo, Jianping Shen

“…The proposed method effectively captures the dynamic characteristics of complex structures and their impact on underwater radiated noise, and the integration of factor analysis can prominently enhance the computational efficiency, thereby providing technical support for engineering applications to the ship acoustic reconstruction.…”
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Ultra-Lightweight Collaborative SLAM for Robot Swarms by Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini

“…Remarkably, we achieve a mapping accuracy below 30cm, a result comparable to high-end state-of-the-art solutions while reducing the cost, memory, and computation requirements by two orders of magnitude. …”
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Strength, Environmental Impact and Cost Assessment of Alkali-Activated Concrete with Pre-treated Coarse Recycled Aggregates by MD Ikramullah Khan, V. Vinayaka Ram, Vipulkumar Ishvarbhai Patel

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Obstacle-Avoidance Planning in C-Space for Continuum Manipulator Based on IRRT-Connect by Yexing Lang, Jiaxin Liu, Quan Xiao, Jianeng Tang, Yuanke Chen, Songyi Dian

“…Simulation and experimental results demonstrate that the proposed algorithm rapidly generates collision-free arm configuration trajectories with high trajectory coincidence in typical GIS chamber scenarios, verifying its comprehensive advantages in real-time performance, safety, and motion smoothness. This work provides theoretical support for the application of continuum manipulator in precision operation and maintenance of power equipment.…”
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Full Key-Recovery Cubic-Time Template Attack on Classic McEliece Decapsulation by Vlad-Florin Drăgoi, Brice Colombier, Nicolas Vallet, Pierre-Louis Cayrel, Vincent Grosso

“…Compared with previous work targeting the Classic McEliece private key, this drastically improves both on the assumptions made in the attacker model and on the overall efficiency of the key-recovery algorithm. …”
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Toward Sustainable Agriculture: DPA-UNet for Semantic Segmentation of Landscapes Using Remote Sensing Imagery by J. Kavipriya, G. Vadivu

“…The findings confirm that DPA-UNet provides a scalable, precise, and computationally efficient solution for large scale agricultural monitoring, therefore supporting applications in sustainable land management, informed policy decision making, and precision farming.…”
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Battery Electric Vehicles: A Study on State of Charge and Cost-Effective Solutions for Addressing Range Anxiety by Jason Pollock, Perk Lin Chong, Manu Ramegowda, Nashwan Dawood, Hossein Habibi, Zhonglan Hou, Foad Faraji, Pengyan Guo

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New local health officials: health departments’ newest leaders by Chelsey Kirkland, Noah Yee Westfall, Krishna Patel, Timothy C. McCall, Timothy C. McCall, Jonathon P. Leider

“…Descriptive characteristics were computed comparing new LHOs with experienced LHOs based on work status, age, gender, race/ethnicity, education level, rurality and size of the jurisdiction.ResultsApproximately 30% of all LHOs are new (<2 years of experience) with no difference among jurisdiction sizes or rurality. …”
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Atmospheric Transport Modeling of CO2 With Neural Networks by Vitus Benson, Ana Bastos, Christian Reimers, Alexander J. Winkler, Fanny Yang, Markus Reichstein

“…Both, stable predictions for longer time horizons and mass conservation throughout need to be achieved, while IO plays a larger role compared to computational costs. In this study we explore four different deep neural networks (UNet, GraphCast, Spherical Fourier Neural Operator and SwinTransformer) which have proven as state‐of‐the‐art in weather prediction to assess their usefulness for atmospheric tracer transport modeling. …”
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Integrating AutoGluon for Real-Time Monitoring and Classification of Dental Equipment Performance by Muxiu Yang, Fengzhou Li, Wenfeng Qiu

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Maximum Torque per Ampere Control of PMSMs Using Real-Time Numerical Optimization by Yong Xu, Min-Yi Lin, Wen-Jie Wan, Yunchong Wang, Jian-Xin Shen

“…It is evaluated alongside the Levenberg-Marquardt algorithm (LMA), which is renowned for its high accuracy and rapid convergence. Compared to the LMA method, the proposed GPD method achieves an optimal balance between computational efficiency and control accuracy, making it suitable for embedded systems with limited resources. …”
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