Hybrid genetic algorithm and deep learning techniques for advanced side-channel attacks by Faisal Hameed, Hoda Alkhzaimi

“…These findings validate genetic algorithms as a robust alternative for optimizing side-channel attack models, offering both scalability and consistent performance across diverse attack scenarios while advancing the state of cryptographic security assessment.…”
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Service chain deployment algorithms for deterministic end-to-end delay upper bound by Ze’nan WANG, Jiao ZHANG, Shuo WANG, Tao HUANG, F.Richard Yu

“…To solve the problem that the current service chain deployment algorithms cannot guarantee the delay of each packet passing through the service chain (SC), a SC deployment algorithm for deterministic end-to-end delay upper bound was proposed.First, the end-to-end delay bound of the SC was derived based on network calculus.Then, the deterministic end-to-end delay bound of the SC was achieved by collaboratively optimizing the routing of SC and the resource allocation of the virtual network function nodes in the SC.The experimental results show that the proposed algorithm can effectively improve the volume of accepted SC while guaranteeing that the end-to-end delay of each packet satisfies the delay requirements.…”
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Use of Diagnostic Algorithms for *NTRK* Fusion-Positive Tumors in Pathology Institutes in Switzerland by Holger Moch, Gieri Cathomas, Milo Frattini, Wolfram Jochum, Erik Vassella, Laurence de Leval, Joachim Diebold, Christian Britschgi, Thomas McKee, Lukas Bubendorf

“…As the detection of *NTRK* gene fusion opens up new treatment options for patients, it is vital to ensure that the detection methods and diagnostic algorithms in pathology institutes are optimized and of high quality. …”
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A Heuristic Motion Planning Algorithm for a Mobile Robot With Nonholonomic Constraints by Duc Thien Tran, Duc Huy Pham, Quang Chien Nguyen

“…This paper proposes a heuristic motion planning algorithm to enhance optimal path determination and tracking for a differential drive mobile robot within a global environment. …”
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An Automated Structural Optimisation Methodology for Scissor Structures Using a Genetic Algorithm by Aushim Koumar, Tine Tysmans, Rajan Filomeno Coelho, Niels De Temmerman

“…We developed a fully automated multiobjective optimisation framework using genetic algorithms to generate a range of optimal barrel vault scissor structures. …”
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Multi-Objective Robustness of Integrated Energy System Considering Source-Load Uncertainty by LI Jianlin, ZHANG Zedong, LIANG Ce, ZENG Fei

“…A grid-connected electric-thermal-hydrogen operation model including fuel cells and electrolytic cells is developed, and the source-load uncertainty is added by using the hierarchical Latin hypercube sampling and Euclidean distance scenario reduction methods, and solved by a two-stage robust optimization algorithm. The results show that the proposed method can effectively mitigate the impact of source-load uncertainty on the configuration and operation planning of the integrated energy system, which is expected to provide new ideas for the construction and operation of integrated energy systems in the future.…”
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Performance of machine learning algorithms to evaluate the physico-mechanical properties of nanoparticle panels by Derrick Mirindi, James Hunter, David Sinkhonde, Tajebe Bezabih, Frederic Mirindi

“…The Pearson correlation analysis reveals a strong relationship between board properties (R = 0.94 for WA–TS; R = 0.93 for MOR–MOE), confirming that nanoparticle treatments enhance performance while maintaining inherent material behavior. Hierarchical clustering grouped nanoparticles by performance: zinc oxide and chitosan+UF+epoxy formed a cluster with the lowest WA and TS, indicating optimal dimensional stability, while GO, rGO, and chitosan-based composites clustered with moderate values. …”
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Comprehensive Analysis of Lightweight Cryptographic Algorithms for Battery-Limited Internet of Things Devices by Nahom Gebeyehu Zinabu, Yihenew Wondie Marye, Kula Kekeba Tune, Samuel Asferaw Demilew

“…Among the main trends that were covered were the trade-offs between resource limitations and security strength, hardware–software co-optimization, block and stream cipher optimization, and hybrid encryption techniques. …”
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Evolution of Cleft Lip and Palate Surgery and the Pursuit for Consensus on Standardized Algorithms of Care by Priyanka Naidu, MBChB, MS, Alexander T. Plonkowski, MBBS, MRes, Caroline A. Yao, MD, MS, William P. Magee, III, MD, DDS

“…Cleft lip and palate (CLP) surgery has evolved over centuries in an attempt to achieve anatomical closure while optimizing speech and limiting fistulas and midface hypoplasia. …”
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Comparative Study of Sphere Decoding Algorithm and FCS-MPC for PMSMs in Aircraft Application by Joseph O. Akinwumi, Yuan Gao, Xin Yuan, Sergio Vazquez, Harold S. Ruiz

“…These findings underscore the importance of norm selection, sampling interval optimization, and weighting factor adjustments in balancing THD reduction and switching frequency. …”
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A New Multiobjective A∗ Algorithm With Time Window Applied to Large Airports by Bosheng Ba, Ye Yu, Ruixin Wang, Jean-Baptiste Gotteland, Yunqi Gao

“…It also optimizes multiple objectives such as fuel consumption and operates at a solving speed approximately three orders of magnitude faster than the optimal solution algorithm, enabling real-time calculation of aircraft taxiing paths. …”
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Minimising latency of pitch detection algorithms for live vocals on low-cost hardware

“…Thorough testing was undertaken in order to determine the best-performing algorithm and optimal parameter combination. Software modifications were implemented to facilitate accurate, repeatable, automated testing in order to build a comprehensive set of results encompassing a wide range of test conditions. …”
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Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation by Mustafa Khanbhai, Catalina Carenzo, Sarindi Aryasinghe, David Manton, Erik Mayer

“…Technical infrastructure, including coding environments and packages for algorithm testing and deployment, was optimized. The algorithm was iteratively trained using bag of words from anonymized data, tailored to accommodate contextual variations, and tested for change in algorithm performance while simultaneously rectifying issues identified. …”
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A fast video coding algorithm using data mining for video surveillance by Bingyue Xie

“…To address this challenge, we propose a novel fast coding algorithm optimized for video surveillance applications. …”
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Adaptive Control Algorithm for Trajectory Tracking of Underactuated Unmanned Surface Vehicle (UUSV) by Chandanlal Karnani, Syed Akhter Raza, Muhammad Asif, Muhammad Ilyas

“…In this research, the designed algorithm defines the path and minimizes the disturbances to zero. …”
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Evolutionary Game-Based Battery Scheduling: A Comparative Study for Prosumers in Smart Grids by Anas Karaki, Khaled Abedrabboh, Luluwah Al-Fagih

“…A novel decentralized evolutionary game theory (EGT) algorithm is introduced to enhance energy management while preserving privacy and scalability. …”
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Design of digital low-carbon system for smart buildings based on PPO algorithm by Yaohuan Wu, Nan Xie

“…The research results indicate that improving the near-end strategy optimization algorithm can reduce carbon emissions by 2354CO2e, while the lowest operating cost of the model is only 35,000 yuan. …”
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Research on an internal model control algorithm and parameter tuning for metro traction PMSMs by SI Junmin, YUE Xuelei, TIAN Di, XU Kelei

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Dynamic and adaptive multi-path routing algorithm based on software-defined network by Wu Jiawei, Qiao Xiuquan, Nan Guoshun

“…Moreover, our proposed algorithm can significantly reduce the computational overhead of the controller while completing a fine-grained flow balance. …”
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Comparative analysis of AI-based search algorithms in solving 8 puzzle problems by Ghaniyyat Bolanle Balogun, Daniel Ibisagba, Amos Bajeh, Taofik Olawale Debo, Abdulraheem Muyideen, Olumuyiwa James Peter

“…DFS, while faster and more memory-efficient, is less consistent in producing optimal solutions. …”
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