Investigation on Three-Hump Phosphor-Coated White Light-Emitting Diodes for Healthy Lighting by Genetic Algorithm by Ziquan Guo, Kai Liu, Lili Zheng, Tien-mo Shih, Yijun Lu, Tingzhu Wu, Yi Lin, Yuxue Zhang, Jianghui Zheng, Jie Chen, Lianxin Chen, Zhong Chen

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5G Network Deployment Planning Using Metaheuristic Approaches by Binod Sapkota, Rijan Ghimire, Paras Pujara, Shashank Ghimire, Ujjwal Shrestha, Roshani Ghimire, Babu R. Dawadi, Shashidhar R. Joshi

“…The study compares the effectiveness of Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Simulated Annealing (SA), and Grey Wolf Optimizer (GWO) in both Urban Macro (UMa) and Remote Macro (RMa) deployment scenarios that overcome the limitations of the current method of 5G deployment, which involves adopting Non-Standalone (NSA) architecture. …”
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Low Complexity Unquantized Forward Stack Decoding Algorithm for Spinal Codes in Measurement While Drilling Communication by Xiaoyang Yu, Lei Liang, Ke Jiang, Tianwei Chen

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A Comprehensive Overview of Single-Source and Dual-Source Energy Balance Algorithms ‎for Estimating Actual Evapotranspiration by Maryam Rezaei

“…The goal of the present research is to introduce and compare several evapotranspiration estimation methods, including Surface Energy Balance Algorithm for Land (SEBAL) model, Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC) model, Surface Energy Balance System (SEBS) model, Simpled Surface Energy Balance Index (S-SEBI) model, Operational Simplified Surface Energy Balance (SSEBop) model— Two- Source (soil + canopy) (TSM) model and Two-Source Time Integrated (TSTIM) model. …”
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Algorithm for Managing Patients Hospitalized in the Surgical Wards Due to COVID-19-Related Acute Abdominal Pathology by D. G. Buribayev, D. B. Tulyaganov, Kh. E. Anvarov

“…Was to improve the outcomes of treatment of patients with COVID-19-related acute abdominal pathology by developing and implementing an algorithm for the diagnosis and treatment of those patients.MATERIAL AND METHODS. …”
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Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge by Maximilian Zenk, Ujjwal Baid, Sarthak Pati, Akis Linardos, Brandon Edwards, Micah Sheller, Patrick Foley, Alejandro Aristizabal, David Zimmerer, Alexey Gruzdev, Jason Martin, Russell T. Shinohara, Annika Reinke, Fabian Isensee, Santhosh Parampottupadam, Kaushal Parekh, Ralf Floca, Hasan Kassem, Bhakti Baheti, Siddhesh Thakur, Verena Chung, Kaisar Kushibar, Karim Lekadir, Meirui Jiang, Youtan Yin, Hongzheng Yang, Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng, Xiaofan Zhang, Shaoting Zhang, Muhammad Irfan Khan, Mohammad Ayyaz Azeem, Mojtaba Jafaritadi, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Leon Mächler, Ivan Ezhov, Florian Kofler, Suprosanna Shit, Johannes C. Paetzold, Timo Loehr, Benedikt Wiestler, Himashi Peiris, Kamlesh Pawar, Shenjun Zhong, Zhaolin Chen, Munawar Hayat, Gary Egan, Mehrtash Harandi, Ece Isik Polat, Gorkem Polat, Altan Kocyigit, Alptekin Temizel, Anup Tuladhar, Lakshay Tyagi, Raissa Souza, Nils D. Forkert, Pauline Mouches, Matthias Wilms, Vishruth Shambhat, Akansh Maurya, Shubham Subhas Danannavar, Rohit Kalla, Vikas Kumar Anand, Ganapathy Krishnamurthi, Sahil Nalawade, Chandan Ganesh, Ben Wagner, Divya Reddy, Yudhajit Das, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph Maldjian, Gaurav Singh, Jianxun Ren, Wei Zhang, Ning An, Qingyu Hu, Youjia Zhang, Ying Zhou, Vasilis Siomos, Giacomo Tarroni, Jonathan Passerrat-Palmbach, Ambrish Rawat, Giulio Zizzo, Swanand Ravindra Kadhe, Jonathan P. Epperlein, Stefano Braghin, Yuan Wang, Renuga Kanagavelu, Qingsong Wei, Yechao Yang, Yong Liu, Krzysztof Kotowski, Szymon Adamski, Bartosz Machura, Wojciech Malara, Lukasz Zarudzki, Jakub Nalepa, Yaying Shi, Hongjian Gao, Salman Avestimehr, Yonghong Yan, Agus S. Akbar, Ekaterina Kondrateva, Hua Yang, Zhaopei Li, Hung-Yu Wu, Johannes Roth, Camillo Saueressig, Alexandre Milesi, Quoc D. Nguyen, Nathan J. Gruenhagen, Tsung-Ming Huang, Jun Ma, Har Shwinder H. Singh, Nai-Yu Pan, Dingwen Zhang, Ramy A. Zeineldin, Michal Futrega, Yading Yuan, Gian Marco Conte, Xue Feng, Quan D. Pham, Yong Xia, Zhifan Jiang, Huan Minh Luu, Mariia Dobko, Alexandre Carré, Bair Tuchinov, Hassan Mohy-ud-Din, Saruar Alam, Anup Singh, Nameeta Shah, Weichung Wang, Chiharu Sako, Michel Bilello, Satyam Ghodasara, Suyash Mohan, Christos Davatzikos, Evan Calabrese, Jeffrey Rudie, Javier Villanueva-Meyer, Soonmee Cha, Christopher Hess, John Mongan, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, Raymond Y. Huang, Ken Chang, Minh-Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Ker^kovský, Tereza Kopr^ivová, Marek Dostál, Václav Vybíhal, Marco C. Pinho, James Holcomb, Marie Metz, Rajan Jain, Matthew D. Lee, Yvonne W. Lui, Pallavi Tiwari, Ruchika Verma, Rohan Bareja, Ipsa Yadav, Jonathan Chen, Neeraj Kumar, Yuriy Gusev, Krithika Bhuvaneshwar, Anousheh Sayah, Camelia Bencheqroun, Anas Belouali, Subha Madhavan, Rivka R. Colen, Aikaterini Kotrotsou, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J. Preetha, Felix Sahm, Martin Bendszus, Wolfgang Wick, Abhishek Mahajan, Carmen Balaña, Jaume Capellades, Josep Puig, Yoon Seong Choi, Seung-Koo Lee, Jong Hee Chang, Sung Soo Ahn, Hassan F. Shaykh, Alejandro Herrera-Trujillo, Maria Trujillo, William Escobar, Ana Abello, Jose Bernal, Jhon Gómez, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Bennett Landman, Karthik Ramadass, Kaiwen Xu, Silky Chotai, Lola B. Chambless, Akshitkumar Mistry, Reid C. Thompson, Ashok Srinivasan, J. Rajiv Bapuraj, Arvind Rao, Nicholas Wang, Ota Yoshiaki, Toshio Moritani, Sevcan Turk, Joonsang Lee, Snehal Prabhudesai, John Garrett, Matthew Larson, Robert Jeraj, Hongwei Li, Tobias Weiss, Michael Weller, Andrea Bink, Bertrand Pouymayou, Sonam Sharma, Tzu-Chi Tseng, Saba Adabi, Alexandre Xavier Falcão, Samuel B. Martins, Bernardo C. A. Teixeira, Flávia Sprenger, David Menotti, Diego R. Lucio, Simone P. Niclou, Olivier Keunen, Ann-Christin Hau, Enrique Pelaez, Heydy Franco-Maldonado, Francis Loayza, Sebastian Quevedo, Richard McKinley, Johannes Slotboom, Piotr Radojewski, Raphael Meier, Roland Wiest, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Pamela Guevara, Esteban Torche, Cristobal Mendoza, Franco Vera, Elvis Ríos, Eduardo López, Sergio A. Velastin, Joseph Choi, Stephen Baek, Yusung Kim, Heba Ismael, Bryan Allen, John M. Buatti, Peter Zampakis, Vasileios Panagiotopoulos, Panagiotis Tsiganos, Sotiris Alexiou, Ilias Haliassos, Evangelia I. Zacharaki, Konstantinos Moustakas, Christina Kalogeropoulou, Dimitrios M. Kardamakis, Bing Luo, Laila M. Poisson, Ning Wen, Martin Vallières, Mahdi Ait Lhaj Loutfi, David Fortin, Martin Lepage, Fanny Morón, Jacob Mandel, Gaurav Shukla, Spencer Liem, Gregory S. Alexandre, Joseph Lombardo, Joshua D. Palmer, Adam E. Flanders, Adam P. Dicker, Godwin Ogbole, Dotun Oyekunle, Olubunmi Odafe-Oyibotha, Babatunde Osobu, Mustapha Shu’aibu Hikima, Mayowa Soneye, Farouk Dako, Adeleye Dorcas, Derrick Murcia, Eric Fu, Rourke Haas, John A. Thompson, David Ryan Ormond, Stuart Currie, Kavi Fatania, Russell Frood, Amber L. Simpson, Jacob J. Peoples, Ricky Hu, Danielle Cutler, Fabio Y. Moraes, Anh Tran, Mohammad Hamghalam, Michael A. Boss, James Gimpel, Deepak Kattil Veettil, Kendall Schmidt, Lisa Cimino, Cynthia Price, Brian Bialecki, Sailaja Marella, Charles Apgar, Andras Jakab, Marc-André Weber, Errol Colak, Jens Kleesiek, John B. Freymann, Justin S. Kirby, Lena Maier-Hein, Jake Albrecht, Peter Mattson, Alexandros Karargyris, Prashant Shah, Bjoern Menze, Klaus Maier-Hein, Spyridon Bakas

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An Adaptive Combined Filtering Algorithm for Non-Holonomic Constraints with Time-Varying and Thick-Tailed Measurement Noise by Zijian Wang, Jianghua Liu, Jinguang Jiang, Jiaji Wu, Qinghai Wang, Jingnan Liu

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Algorithms and tools for data-driven omics integration to achieve multilayer biological insights: a narrative review by Aurelia Morabito, Giulia De Simone, Roberta Pastorelli, Laura Brunelli, Manuela Ferrario

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RAWSN: A Routing Algorithm Based on Auxiliary Nodes to Reduce Energy Consumption in Wireless Sensor Networks by A.A. Baradaran

“…In this research cluster head is selected by genetic algorithm. …”
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Multi-Objective Optimization for the Low-Carbon Operation of Integrated Energy Systems Based on an Improved Genetic Algorithm by Yao Duan, Chong Gao, Zhiheng Xu, Songyan Ren, Donghong Wu

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A comparative study of deepfake facial manipulation technique using generative adversarial networks by Wasin Al Kishri, Jabar H. Yousif, Mahmood Al Bahri, Muhammad Zakarya, Naveed Khan, Sanad Sulaiman Al Maskari, Ahmet Gurhanli

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Research on the Application of Reinforcement Learning in Hybrid Electric Vehicle Energy Management by ZHENG Chunhua, LI Wei

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Optimizing machine learning algorithms for diabetes data: A metaheuristic approach to balancing and tuning classifiers parameters by Hauwau Abdulrahman Aliyu, Ibrahim Olawale Muritala, Habeeb Bello-Salau, Salisu Mohammed, Adeiza James Onumanyi, Ore-Ofe Ajayi

“…To address these issues, this research focuses on devising a methodological metaheuristic optimization, a machine learning algorithm tailored for diabetes data balancing, and classifier hyperparameter tuning. …”
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Optimization of High-Speed Train Control Strategy for Traction Energy Saving Using an Improved Genetic Algorithm by Ruidan Su, Qianrong Gu, Tao Wen

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Comparative analysis of the diagnostyc value of CT and MRI in the assessment of peritoneal carcinomatosis in ovarian cancer by Yu. A. Soloveva, N. A. Rubtsova, E. G. Novikova, D. O. Kabanov, S. A. Skugarev

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RACER: A Lightweight Distributed Consensus Algorithm for the IoT with Peer-Assisted Latency-Aware Traffic Optimisation by Zachary Auhl, Harsha Moraliyage, Naveen Chilamkurti, Damminda Alahakoon

“…The RACER framework eliminates the need for synchronised networks and clocks by implementing the Sequenced Probabilistic Double Echo (SPDE) algorithm, which operates asynchronously without timing assumptions. …”
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Research on dust identification and concentration detection method based on machine vision by Luyang TU, Qinghua CHEN, Yingsong CHENG, Bingyou JIANG

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A Novel Data-Driven Fault Diagnosis Algorithm Using Multivariate Dynamic Time Warping Measure by Jiangyuan Mei, Jian Hou, Hamid Reza Karimi, Jiarao Huang

“…The experimental results demonstrate the improved performance of the proposed algorithm when compared with other classical PM-FD classical methods.…”
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Measuring Comparative Statistical Effectiveness of Cancer Subtype Categorization Using Gene Expression Data by Avila Clemenshia P., Deepa C.

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Differences in emotional expression among college students: a study on integrating psychometric methods and algorithm optimization by Xiaozhu Chen

“…In order to improve the precision of data analysis, random forests, support vector machines, and neural network machine learning algorithms were applied, and the variance analysis was used to calculate and compare the emotional differences of different genders and academic backgrounds in different grades. …”
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