Robust-tuning machine learning algorithms for precise prediction of permeability impairment due to CaCO3 deposition by Mohammad Javad Khodabakhshi, Masoud Bijani, Masoud Hasani

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Incorporating Intelligence in Multiple-Attribute Decision-Making using Algorithmic Framework and Double-Valued Neutrosophic Sets: Varied Applications to Employment Quality Evaluati... by Qiuyan Zhao, Wentao Li

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Multi-Source Data-Driven Terrestrial Multi-Algorithm Fusion Path Planning Technology by Xiao Ji, Peng Liu, Meng Zhang, Chengchun Zhang, Shuang Yu, Bing Qi, Man Zhao

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SUPPORT OF DECISION-MAKINGFOR THE PROCEDURE OFSELECTION OF THE PERSONNALFOR THE TRAINING ANDDEVELOPMENT by Yaroslav E. Prokushev

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Perfect space-time block codes and high performance decoding algorithm by HU Jun-feng1, YANG Yuan1, ZHANG Hai-lin1

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Feasibility of GPT-3.5 versus Machine Learning for Automated Surgical Decision-Making Determination: A Multicenter Study on Suspected Appendicitis by Sebastian Sanduleanu, Koray Ersahin, Johannes Bremm, Narmin Talibova, Tim Damer, Merve Erdogan, Jonathan Kottlors, Lukas Goertz, Christiane Bruns, David Maintz, Nuran Abdullayev

“…Conclusions: This study, the first study of the “intended use” of GPT-3.5 for surgical treatment to our knowledge, comparing surgical decision-making versus an algorithm found a high degree of agreement between board-certified surgeons and GPT-3.5 for surgical decision-making in patients presenting to the emergency department with lower abdominal pain.…”
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An Intelligent Pattern Recognition Algorithm for Implant Identification in Joint Replacement: A Novel Approach for Hip Replacement Surgery Using Fuzzy Information by Shenghao Zhao, Ying Hu, Jie Tang, Yong Hu, Jun Liu

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Automation and Decision Support in Nephrology: An Expert System Based on AI and ML for the Assessment, Treatment, and Management of Focal Segmental Glomerulosclerosis by Dawid Pawuś, Tomasz Porażko, Szczepan Paszkiel

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Deep Reinforcement Learning for Real-Time Airport Emergency Evacuation Using Asynchronous Advantage Actor–Critic (A3C) Algorithm by Yujing Zhou, Yupeng Yang, Bill Deng Pan, Yongxin Liu, Sirish Namilae, Houbing Herbert Song, Dahai Liu

“…This study focused on improving emergency evacuation in airport and aircraft scenarios using real-time decision-making support. A system based on the Asynchronous Advantage Actor–Critic (A3C) algorithm, an advanced deep reinforcement learning method, was developed to generate faster and more efficient evacuation routes compared to traditional models. …”
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Treatment decision algorithms for tuberculosis screening and diagnosis in children below 5 years hospitalised with severe acute malnutrition: a cost-effectiveness analysisResearch... by Marc d’Elbée, Nyashadzaishe Mafirakureva, Chishala Chabala, Minh Huyen Ton Nu Nguyet, Martin Harker, Clémentine Roucher, Gerald Businge, Perfect Shankalala, Bwendo Nduna, Veronica Mulenga, Maryline Bonnet, Eric Wobudeya, Olivier Marcy, Peter J. Dodd

“…In 2022, the World Health Organization (WHO) recommended use of treatment decision algorithms (TDAs) for tuberculosis diagnosis in children. …”
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A Smart Contract-Based Algorithm for Offline UAV Task Collaboration: A New Solution for Managing Communication Interruptions by Linchao Zhang, Lei Hang, Keke Zu, Yi Wang

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Potential Adverse Drug Events Identified with Decision Support Algorithms from Janusmed Risk Profile—A Retrospective Population-Based Study in a Swedish Region by Tora Hammar, Emma Jonsén, Olof Björneld, Ylva Askfors, Marine L. Andersson, Alisa Lincke

“…The proportion of patients with an increased risk varied from 3.5% to almost 30% across the nine categories of ADEs. …”
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Anteromedial facet coronoid fractures: an algorithmic approach for assessment and management based on 3 dimensional computed tomography humeral subtraction by Armin Badre, MD, MSc, FRCSC, Moayd Abdullah H. Awad, MBBS, FRCSC, Robert Chan, MD, MSc, FRCSC, Michael Lapner, MD, FRCSC

“…Conclusion: The proposed algorithm based on a detailed assessment of the pattern of AMF fracture provides a reliable decision tool for the management of these injuries. …”
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A Multi-Surrogate Assisted Multi-Tasking Optimization Algorithm for High-Dimensional Expensive Problems by Hongyu Li, Lei Chen, Jian Zhang, Muxi Li

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Enhanced Heart Disease Classification Using Dual Attention Mechanisms and 3D-Echo Fusion Algorithm in Echocardiogram Videos by S Deepika, N. Jaisankar

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An exploration-enhanced hybrid algorithm based on regularity evolution for multi-objective multi-UAV 3-D path planning by Zhenzu Bai, Haiyin Zhou, Juhui Wei, Xuanying Zhou, Yida Ning, Jiongqi Wang

“…Developing objectives, constraints, and decision-making processes for three-dimensional path planning involving multiple UAVs presents substantial challenges within the multi-objective optimization community. …”
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Development of a Physical Therapy Telehealth Examination Battery for People with Parkinson Disease by Chelsea E. Macpherson, Julie Fineman, Anuja Chandrana, Lori Quinn

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A Hybrid K-Means++ and Particle Swarm Optimization Approach for Enhanced Document Clustering by Eisha Hassan, Fazila Malik, Qazi Waqas Khan, Nadeem Ahmad, Muhammad Sardaraz, Faten Khalid Karim, Hela Elmannai

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Predicting Coronary Heart Disease Using Data Mining and Machine Learning Solutions by VIJAI M. MOORTHY, BHUPAL N. DHARAMSOTH, VIJAYALAKSHMI MUTHUKARUPPAN, ARUL ELANGO, KALAIARASI GANESAN

“…The true positive rate for the GB algorithm’s predictions of patients was 98.3%. The study hypothesizes that the GB method predicts the Framingham dataset better than other algorithms using 4240 samples.…”
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Classification of radial polydactyly based on physical characteristics by Wei Chien Sun, Po An Chen, Brian Po Rong Chen, Wei Chun Lee, Hsuan Kai Kao, Wen E Yang, Chia Hsieh Chang

“…This study aimed to develop a practical algorithm based on physical characteristics for treatment guidelines. …”
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