Optimal Design of Low Sidelobe Sparse Linear Arrays by Li Wang, Fenggan Zhang, Banghuan Hou

“…The initial value of the algorithm is generated through the chaotic Piecewise map, while the scaling factor is adjusted dynamically in line with the iterations and fitness values. …”
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Adaptive Management of Multi-Scenario Projects in Cybersecurity: Models and Algorithms for Decision-Making by Vadim Tynchenko, Alexander Lomazov, Vadim Lomazov, Dmitry Evsyukov, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Ivan Malashin

“…Fuzzy production rules are employed for decision-making, while the Mamdani fuzzy inference algorithm enhances interpretability. …”
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Minimum number oriented relay node deployment algorithm in two-tiered WSN by Chun-yu MIAO, Li-na CHEN, Guo-yong DAI, Fan YANG, Qing-zhang CHEN

“…Aiming at minimizing the number of relay nodes distributed in the sensing area while keeping the feasible communication with at least one relay node for every sensor node, two algorithms (i.e. the integral linear programming optimal algorithm and the heuristic algorithm) were proposed. …”
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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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Adaptive Exploration Artificial Bee Colony for Mathematical Optimization by Shaymaa Alsamia, Edina Koch, Hazim Albedran, Richard Ray

“…By addressing the shortcomings of the traditional ABC algorithm, AEABC significantly advances mathematical optimization, especially in engineering applications. …”
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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 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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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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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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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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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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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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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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Implementation of Apriori Algorithm in Identifying Purchase Relationships at Bluder Cokro Pakuwon Mall by Angeline Ivana, Indra Maryati

“…These findings indicate that strategic product placement and bundling promotions can enhance sales performance. Optimizing the store layout by placing coklat keju near coklat can increase purchase likelihood, while targeted discounts, such as "Buy coklat keju, get 10% off keju," can drive transaction values. …”
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A Federated Learning Algorithm That Combines DCScaffold and Differential Privacy for Load Prediction by Yong Xiao, Xin Jin, Tingzhe Pan, Zhenwei Yu, Li Ding

“…Experimental results demonstrate that the proposed algorithm enables federated training without the need for sharing raw load data, facilitating load scheduling and energy management operations in smart grids while safeguarding user privacy. …”
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Evaluation of the Performance of Unsupervised Learning Algorithms for Intrusion Detection in Unbalanced Data Environments by Gutierrez-Portela Fernando, Almenares Mendoza Florina, Calderon-Benavides Liliana

“…Results showed that K-means++ achieved 95% purity with 95% and 99% prediction accuracies for normal and abnormal data, respectively, while I-forest delivered similar results and excelled in computational efficiency, consuming only 10% of CPU resources compared to 16% for other algorithms. …”
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An Improved YOLOv7-Tiny-Based Algorithm for Wafer Surface Defect Detection by Mengyun Li, Xueying Wang, Hongtao Zhang, Xiaofeng Hu

“…Experiments conducted on a self-constructed dataset show that the improved algorithm achieved a mean Average Precision (mAP) of 90.1%, representing a 3.2% increase over the original algorithm. …”
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