An Evolutionary Algorithm: An Enhancement of Binary Tournament Selection for Fish Feed Formulation by Cai-Juan Soong, Rosshairy Abd Rahman, Razamin Ramli, Mohammed Suhaimee Abd Manaf, Chek-Choon Ting

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A Space-Time Plume Algorithm to Represent and Compute Dynamic Places by Brent Dell, May Yuan

“…Building on this, we developed Space-Time Plume, a new algorithm for detecting and tracking evolving event clusters as smoke plumes in space and time, representing dynamic places. …”
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Performance of Machine Learning Algorithms on Automatic Summarization of Indonesian Language Texts by Galih Wiratmoko, Husni Thamrin, Endang Wahyu Pamungkas

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Random Oversampling-Based Diabetes Classification via Machine Learning Algorithms by G. R. Ashisha, X. Anitha Mary, E. Grace Mary Kanaga, J. Andrew, R. Jennifer Eunice

“…Comparative analysis of this model suggests that the random forest algorithm outperforms all the remaining classifiers, with the greatest accuracy of 92% on the BRFSS diabetes dataset and 94% accuracy on the PIDD dataset, which is greater than the 3% accuracy reported in existing research. …”
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YOLO-SWD—An Improved Ship Recognition Algorithm for Feature Occlusion Scenarios by Ruyan Zhou, Mingkang Gu, Haiyan Pan

“…In this research, we propose a ship detection and recognition algorithm based on YOLOv11. …”
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Novel nonlinear wind power prediction based on improved iterative algorithm by Fu Zhen-yu, Lin Gui-quan, Tian Wei-da, Pan Zhi-hao, Zhang Wei-cong

“…The final enhanced iterative technique for nonlinear wind power prediction is produced by merging the iterative algorithm with the nonlinear decomposition. Finally, a comparative study of wind power prediction under different prediction models was carried out. …”
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Pairwise Heuristic Sequence Alignment Algorithm Based on Deep Reinforcement Learning by Yong-Joon Song, Dong Jin Ji, Hyein Seo, Gyu-Bum Han, Dong-Ho Cho

“…Among them, sequence alignment is the most frequently used method for comparative analysis of biological genomes. We intend to propose a novel pairwise sequence alignment method using deep reinforcement learning to break out the old pairwise alignment algorithms. …”
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Evaluation System of Blind Spot Warning Algorithm Based on Vehicle to Everything by Yanzhao Yang, Jian Wang, Xinyu Yang, Tingyu Zhang, Xinyu Guo

“…A comparative analysis of various experimental data sets confirms the algorithm’s proficiency in delivering precise and prompt blind spot collision alerts to the HV, validating its effectiveness in bolstering vehicular safety.…”
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ALGORITHMS OF PSYCHOLOGICAL EDUCATION AND SUPPORT OF MEDICAL WORKERS DURING THE WAR IN UKRAINE by Lydia V. Butska, Hanna B. Varina, Oksana O. Drevitska, Valentin O. Ryzhak, Volodymyr I. Bulda, Olha V. Kovalova

“…The article presents the results of research on the need to master and implement the basics of psychological support, prevention of burnout, self-help and mutual help in the practice of medical workers (MP). …”
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Algorithm of reconstruction combined midface defects after resection malignant tumors by M. V. Bolotin, A. M. Mudunov, V. Yu. Sobolevsky, V. I. Sokorutov

“…The purpose of reconstruction is not only the elimination of cosmetic deformity, but also the restoration of such vital functions as breathing, swallowing, speech and binocular vision. Till that time, no algorithm has been developed for choosing a method for the reconstruction and there is no comparative analysis of the available methods.The study objective is to improve the functional and aesthetic results of treatment patients with malignant tumors of the upper jaw and midface.Materials and methods. …”
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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

“…The segmentation results were analysed by comparing each comparative algorithm's peak signal‐to‐noise ratio, structural similarity index and feature similarity index. …”
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Effectiveness and cost-effectiveness of community-based TB screening algorithms using computer-aided detection (CAD) technology alone compared with CAD combined with point-of-care... by Fabrizio Tediosi, Klaus Reither, Bram van Ginneken, Alastair van Heerden, Tinne Gils, Lutgarde Lynen, Josephine Muhairwe, Alfred Kipyegon Keter, Aita Signorell, Rediet Fikru Gebresenbet, Irene Ayakaka, Thomas Zoller, Fiona Vanobberghen, Mashaete Kamele, Thandanani Madonsela, Shannon Bosman, Anna Verjans, Bart Karl Jacobs, Curdin Brugger, Marina Antillon, Niklaus Daniel Labhardt, Harsh Vivek Harkare, Mamatlakeng Keitseng, Johanna Kurscheid, Keelin Murphy, Bulemba Katende, Rahel Milena Erhardt, Tracy R Glass

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Extreme Operation Mode Extraction Method Based on Convex Hull Algorithm by Yanping XU, Jie BAI, Haobo SHI, Xiaohui QIN, Yantao ZHANG

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Review of plant disease image recognition algorithms based on deep learning by Yang Hankun, Zhu Bowei, Zhang Yanmin, Xu Yidong

“…Additionally, this article compares the performance of common deep learning algorithms in plant disease identification, and analyzes challenges such as dataset diversity, real-time performance, and catastrophic forgetting. …”
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Fruit size prediction of tomato cultivars using machine learning algorithms by Masaaki Takahashi, Yasushi Kawasaki, Hiroki Naito, Hiroki Naito, Unseok Lee, Koichi Yoshi

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A Defect Detection Algorithm for Optoelectronic Detectors Utilizing GLV-YOLO by Xinfang Zhao, Qinghua Lyu, Hui Zeng, Zhuoyi Ling, Zhongsheng Zhai, Hui Lyu, Saffa Riffat, Benyuan Chen, Wanting Wang

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Dynamic Demodulation Algorithm for Bio-radar Sensors Based on Range Tapper by Changyu LIU, Hao ZHANG, Fanglin GENG, Zhongrui BAI, Peng WANG, Zhenfeng LI, Lidong DU, Xianxiang CHEN, Zhen FANG

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A Moving Target Online Location Algorithm Based on Factor Graph by Chenxin Wang, Wenxing Fu, Tong Zhang, Rong Hui

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A new algorithm of treatment choice in primary open-angle glaucoma by A. A. Antonov, I. V. Kozlova, A. A. Vitkov, T. M. Agadzhanyan

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Comparison between Statistical Approaches and Data Mining Algorithms for Outlier Detection by Annisa Putri Utami, Anwar Fitrianto, Khairil Anwar Notodiputro

“…This research aims to examine the results of simulation studies by comparing methods for identifying several outliers using statistical approaches and data mining algorithm approaches in various predetermined data scenarios. …”
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