Efficient Learning of Long-Range and Equivariant Quantum Systems by Štěpán Šmíd, Roberto Bondesan

“…Further, we show that learning algorithms equivariant under the automorphism group of the interaction hypergraph achieve a sample complexity reduction, leading in particular to a constant number of samples for learning sums of local observables in systems with periodic boundary conditions. …”
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Japanese encephalitis virus infection in non-encephalitic acute febrile illness patients. by Chairin Nisa Ma'roef, Rama Dhenni, Dewi Megawati, Araniy Fadhilah, Anton Lucanus, I Made Artika, Sri Masyeni, Asri Lestarini, Kartika Sari, Ketut Suryana, Frilasita A Yudhaputri, Ungke Anton Jaya, R Tedjo Sasmono, Jeremy P Ledermann, Ann M Powers, Khin Saw Aye Myint

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Stochastic Demand-Side Management for Residential Off-Grid PV Systems Considering Battery, Fuel Cell, and PEM Electrolyzer Degradation by Mohamed A. Hendy, Mohamed A. Nayel, Mohamed Abdelrahem

“…The optimization problem was solved using a genetic algorithm (GA), which efficiently explores the solution space to determine the optimal operating schedules and reduce degradation costs. …”
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Fairness in focus: quantitative insights into bias within machine learning risk evaluations and established credit models by Jacob Ford

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Symmetrical Components Digital Filters for Microprocessor-Based Protection Input Signals by F. A. Romaniuk, V. Yu. Rumiantsev, Yu. V. Rumiantsev

“…In the dynamic modeling environment of MATLAB-Simulink-SimPowerSystems, a digital model is implemented, which includes a power system, a three-phase group of current transformers, a load, a short-circuit block, as well as models of negative and zero sequence filters. …”
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Design of an intelligent AI-based multi-layer optimization framework for grid-tied solar PV-fuel cell hybrid energy systems by Prashant Nene, Dolly Thankachan

“…The results validate its capability when compared against traditional methods such as Genetic Algorithms and Particle Swarm Optimization. With this, we now have a scalable and real-time energy-efficient solution for future smart grid systems. • Integrated Intelligence Stack: Combines RL-ENN, T-STFREP, FL-DEO, GNNHSCO, and Q-GAN-ESO into a unified architecture for real-time control, forecasting, decentralized optimization, network routing, and synthetic scenario generation. • Real-Time, Scalable, and Privacy-Preserving: Enables adaptive energy dispatch, federated optimization without compromising data privacy, and graph-based power routing, making it suitable for large-scale, smart grid deployments. • Proven Long-Term Performance: Achieved significant improvements over traditional methods (GA, PSO) with 27.5 % lower NPC, 18.2 % reduction in COE, and 30.2 % increase in battery life, validated using 30 years of meteorological data.…”
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OT-PCA: New Key-Recovery Plaintext-Checking Oracle Based Side-Channel Attacks on HQC with Offline Templates by Haiyue Dong, Qian Guo

“…Our method addresses critical challenges in optimizing key-related information extraction, including maximizing decryption output entropy and ensuring error pattern independence, through the use of genetic-style algorithms. Extensive simulations demonstrate that our new attack method significantly reduces the required number of oracle calls, achieving a 2.4-fold decrease for hqc-128 and even greater reductions for hqc-192 and hqc-256 compared to current state-of-the-art methods. …”
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Adaptive information-constrained mapping for feature compression in edge AI and federated systems by Viacheslav Kovtun

“…Efficient projection-gradient optimisation algorithms have been developed, suitable for implementation in constrained computational environments. …”
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Random-forest-based task pricing model and task-accomplished model for crowdsourced emergency information acquisition by Wenxiang Li, Shengqun Chen, Lijin Lin, Li Chen

“…Over the past decade, crowdsourcing has emerged as a powerful tool in various scenarios and has led to an increasing need for crowdsourced emergency management. …”
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Optimal Coordinated Flood Control Scheduling of Three Gorges and Qingjiang Cascade Reservoirs by ZHAO Hui, ZHU Yu-xin, LIU Yuan, HUANG Bin, PANG Shu-sen, HUANG Di

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Empowering Sustainability: The Crucial Role of IoT-Enabled Distributed Learning Systems in Reducing Carbon Footprints by Anjana M S, Aryadevi Remanidevi Devidas, Maneesha Vinodini Ramesh

“…Electrical energy plays a pivotal role in modern society by powering homes, industries, and transportation systems. …”
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Enhanced AODV routing analysis for mobile Ad Hoc networks by Arvind Kumar, Adesh Kumar, Anurag Vijay Agrawal

“…Conventional routing algorithms such as ad-hoc on-demand distance vector (AODV) frequently struggle with hardware inefficiencies and increase overhead in large-scale networks. …”
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A Novel NSGA-III-GKM++ Framework for Multi-Objective Cloud Resource Brokerage Optimization by Ahmed Yosreddin Samti, Ines Ben Jaafar, Issam Nouaouri, Patrick Hirsch

“…This paper presents NSGA-III-GKM++, an advanced multi-objective optimization model that integrates the NSGA-III evolutionary algorithm with an enhanced K-means++ clustering technique to improve the convergence speed, solution diversity, and computational efficiency. …”
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A Case Study on Integrating an AI System into the Fuel Blending Process in a Chemical Refinery by Abdul Gani Abdul Jameel

“…AI-based blending systems are more flexible and will enable the refineries to meet the product specifications regularly and result in cost reduction owing to the fall in quality giveaways. The AI-powered process discussed can predict, with much better accuracy, critical combustion properties of gasoline such as the Research Octane Number (RON), Motor Octane Number (MON), and Antiknock Index (AKI), compared to the classical LP models, with the added advantage of optimization of the blend ratio in real time. …”
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Adaptive resolution in speckle displacement measurement using optimized grid-based phase correlation and statistical refinement by Hamed Sabahno, Satyam Paul, Davood Khodadad

“…Speckle metrology is a powerful optical sensing tool for non-destructive testing (NDT) and advanced surface characterization, enabling ultra-precise measurements of surface deformations and displacements. …”
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Economic energy optimization in microgrid with PV/wind/battery integrated wireless electric vehicle battery charging system using improved Harris Hawk Optimization by Perne Mallikarjun, Sundar Rajan Giri Thulasiraman, Praveen Kumar Balachandran, Muhammad Ammirrul Atiqi Mohd Zainuri

“…Simulation results demonstrate that the IHHO algorithm achieves significant cost reductions and improves energy utilization efficiency compared to other state-of-the-art optimization algorithms such as Improved Quantum Particle Swarm Optimization (IQPSO), Honeybee Mating Optimization (HBMO), and Enhanced Exploratory Whale Optimization Algorithm (EEWOA). …”
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Energy-efficient wireless sensor network for real-time environmental monitoring: Simulink-based design by Fatai Olatunde Adunola, Victor Nnamdi Omeke, Ashraf Adam Ahmad, Asharimantun Reuben Bunu, Alfred John Nkohon, Emmanual Obiajulu

“…Simulation results showed energy reductions of up to 13.4% and battery life increases of up to 15.49% compared to traditional methods enabling the system to remain in the field for longer. …”
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Electric vehicle path optimization research based on charging and switching methods under V2G by Haoran Liu, Aobei Zhang

“…Abstract This study presents a novel framework for advancing sustainable urban logistics and distribution systems, with a pivotal focus on fast charging and power exchange modalities as the cornerstone of our research endeavors. …”
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Key metrics for monitoring performance variability in edge computing applications by Panagiotis Giannakopoulos, Bart van Knippenberg, Kishor Chandra Joshi, Nicola Calabretta, George Exarchakos

“…We deploy a set of single-particle analysis algorithms, designed for an electron microscopy use case, running on a Kubernetes cluster monitored by Prometheus. …”
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FORMATION PROGRAM IN MATHEMATICS AT THE TECHNICAL UNIVERSITY AND THE QUALITY OF KNOWLEDGE by Y. P. Bogomolova

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