Optimal performance design of bat algorithm: An adaptive multi‐stage structure by Helong Yu, Jiuman Song, Chengcheng Chen, Ali Asghar Heidari, Yuntao Ma, Huiling Chen, Yudong Zhang

“…AMSBA is also compared with eight representative optimisation algorithms on 10 benchmark functions derived from IEEE CEC 2020, while this experiment is carried out on five different dimensions of the objective functions respectively. …”
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Agent-Based Adaptive Dynamic Round Robin (AADRR) Scheduling Algorithm by Zafar Iqbal Khan, Muzafar Khan, Syed Nasir Mehmood Shah

“…To validate the effectiveness of the AADRR algorithm, we performed a comparative performance analysis with twelve other algorithms, including five traditional CPU scheduling algorithms and seven advanced job scheduling techniques, demonstrating optimal performance results. …”
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Supraharmonics monitoring based on VSSESP-DBP dynamic compressed sensing algorithm by Chao Yan, Hongtao Shen, Jie Yu, Peng Tao, Hongxi Wang, Ting Yang

“…At the reconstruction end, the VSSESP-DBP dynamic reconstruction algorithm is designed. The variable step-size sparsity self-estimating subspace tracking (VSSESP) algorithm is employed to find the initial solution, while the dynamic basis tracking (DBP) algorithm exploits the time dependence of the signal support set. …”
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The Algorithm of Treatment Tactics for Patients with Tumor Obstruction of Extrahepatic Bile Ducts by Dutka Ya.

“…To work out an effective algorithm for treating the patients with pulmonary embolism taking into account age and general condition, localization, distribution and stage of the tumor process. …”
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Algorithm-based intraoperative diagnosis of liver tumors using infrared spectroscopy by Rimante Bandzeviciute, Grit Preusse, Sascha Brückmann, Alexander Hirle, Anne Wedemann, Franziska Baenke, Marius Distler, Carina Riediger, Jürgen Weitz, Valdas Sablinskas, Justinas Ceponkus, Gerald Steiner, Christian Teske

“…CCC showed distinct protein-associated spectral signatures, while metastases exhibited unique profiles reflecting their different origins. …”
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Anomaly Detection Algorithms for Real-Time Log Data Analysis at Scale by Andras Horvath, Andras Olah, Attila Pinter, Balint Siklosi, Gergely Lukacs, Istvan Z. Reguly, Kalman Tornai, Tamas Zsedrovits, Zoltan Mathe

“…These algorithms vary in complexity and accuracy, and offer tunable performance based on the specific requirements of the environment. …”
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Mitigating Algorithmic Bias in AI-Driven Cardiovascular Imaging for Fairer Diagnostics by Md Abu Sufian, Lujain Alsadder, Wahiba Hamzi, Sadia Zaman, A. S. M. Sharifuzzaman Sagar, Boumediene Hamzi

“…<b>Background/Objectives</b>: The research addresses algorithmic bias in deep learning models for cardiovascular risk prediction, focusing on fairness across demographic and socioeconomic groups to mitigate health disparities. …”
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A New Hybrid Grasshopper Optimization - Backpropagation for Feedforward Neural Network Training by Samer Alsammarraie, Nazar K. Hussein

“… The Grasshopper optimization algorithm showed a rapid converge in the initial phases of the global search, however while being around the global optimum, the searching process became so slow. …”
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A Software Defined Network of Video Surveillance System Based on Enhanced Routing Algorithms by Mustafa I. Salman et al.

“…POX and Pyretic SDN controllers are used such that POX controller is ‎responsible for the network monitoring, while Pyretic controller is responsible for the ‎routing algorithm and path selection. …”
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An image‐based method for shoreline mapping on complex coasts by John B. Shaw, Matthew A. Wolinsky, Chris Paola, Vaughan R. Voller

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A Self-Learning Hyper-Heuristic Algorithm Based on a Genetic Algorithm: A Case Study on Prefabricated Modular Cabin Unit Logistics Scheduling in a Cruise Ship Manufacturer by Jinghua Li, Ruipu Dong, Xiaoyuan Wu, Wenhao Huang, Pengfei Lin

“…The GA-SLHH employs a genetic algorithm combined with a self-learning strategy as its high-level strategy (HLS), optimizing low-level heuristics (LLHs) while uncovering potential relationships between adjacent decision-making stages. …”
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Cyber-Physical Systems in Smart Grids Enhancing Energy Management and Distribution Efficiency by Ponnusamy Sivakumar, Gurugubelli Vanitha, G V Rambabu, Sheeba Adlin, Tiwari Mohit, T Saravanan

Subjects: “…a1: cyber-physical systems for smart grids: ensuring demand and supply line efficiency through real-time systems and optimization algorithms using machine learning to achieve scalable remedial actions…”
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Parameter Extraction of Photovoltaic Cells and Panels Using a PID-Based Metaheuristic Algorithm by Aseel Bennagi, Obaida AlHousrya, Daniel T. Cotfas, Petru A. Cotfas

“…PSA was compared against 26 top-performing algorithms. RTC France showed RMSE improvements of 0.67–2.10% in 3.35 s, while for the mSi model, PSA achieved up to 40.9% improvement in 5.57 s and 22.18% for PVM 752 in 8.52 s. …”
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A secure and efficient encryption system based on adaptive and machine learning for securing data in fog computing by Priyanka Rajan Kumar, Sonia Goel

“…The system employs the K-Nearest Neighbors (KNN) classification algorithm to categorize data into sensitive and normal types. …”
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Assigning Candidate Tutors to Modules: A Preference Adjustment Matching Algorithm (PAMA) by Nikos Karousos, Despoina Pantazi, George Vorvilas, Vassilios S. Verykios

“…PAMA operates in iterative rounds, dynamically adjusting modules and tutors’ preferences while addressing capacity and eligibility constraints. …”
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Coverage Optimization Algorithm Based on Sampling for 3D Underwater Sensor Networks by Du Xiaoyu, Sun Lijuan, Liu Linfeng

“…We discuss the problem of maximizing the sensor field coverage for a specific number of sensors while minimizing the distance traveled by the sensor nodes. …”
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The sovereignty-internationalism paradox in AI governance: digital federalism and global algorithmic control by Artur Ishkhanyan

“…The EU’s risk-based regulatory model demonstrates a supranational approach balancing innovation with ethical oversight, while China’s centralized AI-driven governance exemplifies state-centric control through algorithmic surveillance. …”
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An Adaptive View Selection Algorithm for Large-scale Cone-Beam CT Reconstruction by Jingsong Lin, Singanallur Venkatakrishnan, Obaidullah Rahman, Gregery T. Buzzard, Amirkoushyar Ziabari, Charles A. Bouman

“…Through simulations and measured datasets, we demonstrate that our algorithm produces higher quality reconstructions, particularly in preserving sharp edges, while requiring fewer measurements compared to the traditional method. …”
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Research on Wellbore Trajectory Optimization and Drilling Control Based on the TD3 Algorithm by Haipeng Gu, Yang Wu, Xiaowei Li, Zhaokai Hou

“…Therefore, this paper proposes a wellbore trajectory optimization model based on deep reinforcement learning to realize non-vertical well trajectory design and control while drilling. Aiming at the real-time optimization requirements of complex drilling scenarios, the TD3 algorithm is adopted to solve the problem of high-dimensional continuous decision-making through delay strategy update, double Q network, and target strategy smoothing. …”
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Fine-Pruning: A biologically inspired algorithm for personalization of machine learning models by Joseph Bingham, Saman Zonouz, Dvir Aran

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