Investigation of the Role of Machine Learning and Deep Learning in Improving Clinical Decision Making for Musculoskeletal Rehabilitation by Madhu Yadav, Pushpendra Kumar Verma, Sumaiya Ansari

Subjects: “…machine learning…”
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Sarcasm Text Detection on News Headlines Using Novel Hybrid Machine Learning Techniques by Neha Singh, Umesh Chandra Jaiswal

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Neural decoding reveals dynamic patterns of visual chunk memory processes by Chantat Leong, Fei Gao, Zhen Yuan

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Establishing a preoperative predictive model for gallbladder adenoma and cholesterol polyps based on machine learning: a multicentre retrospective study by Yubing Wang, Chao Qu, Jiange Zeng, Yumin Jiang, Ruitao Sun, Changlei Li, Jian Li, Chengzhi Xing, Bin Tan, Kui Liu, Qing Liu, Dianpeng Zhao, Jingyu Cao, Weiyu Hu

Subjects: “…Machine learning…”
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A novel high-resolution eco-functional vegetation mapping of coastal dunes by Michele Innangi, Mirko Di Febbraro, Marco Balsi, Ginevra Colonna, Michele Finizio, Federica Pontieri, Maria Laura Carranza

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Exploring the Effectiveness of Machine Learning and Deep Learning Techniques for EEG Signal Classification in Neurological Disorders by Souhaila Khalfallah, William Puech, Mehdi Tlija, Kais Bouallegue

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Diagnosis Osteoporosis Risk: Using Machine Learning Algorithms Among Fasa Adults Cohort Study (FACS) by Saghar Tabib, Seyed Danial Alizadeh, Aref Andishgar, Babak Pezeshki, Omid Keshavarzian, Reza Tabrizi

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Creation and interpretation of machine learning models for aqueous solubility prediction by Minyi Su, Enric Herrero

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Temperature Is a Key Factor Affecting Total Phosphorus and Total Nitrogen Concentrations in Northeastern Lakes Based on Sentinel-2 Images and Machine Learning Methods by Haoming Qin, Chong Fang, Ge Liu, Kaishan Song, Zhuoshi Li, Sijia Li, Hui Tao, Zhaojiang Yan

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Real-Time Heterogeneous Collaborative Perception in Edge-Enabled Vehicular Environments by Samuel Thornton, Nithin Santhanam, Rajeev Chhajer, Sujit Dey

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Machine Learning-Based Quantification of Lateral Flow Assay Using Smartphone-Captured Images by Anne M. Davis, Asahi Tomitaka

Subjects: “…machine learning…”
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Analysis of sensitive urban form indicators of flood susceptible prediction based on machine learning models by M. Srivanit, S. Pattanasri, N. Phichetkunbodee, S. Manokeaw, S. Sitthikankun, D. Rinchumphu

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A Survey on Machine Learning Techniques for Head-Related Transfer Function Individualization by Davide Fantini, Michele Geronazzo, Federico Avanzini, Stavros Ntalampiras

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A Study on the Application of Explainable AI on Ensemble Models for Predictive Analysis of Chronic Kidney Disease by K. M. Tawsik Jawad, Anusha Verma, Fathi Amsaad, Lamia Ashraf

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A New Diagnosing Method for Psoriasis From Exhaled Breath by Bilge Han Tozlu, Omer Faruk Akmese, Cemaleddin Simsek, Engin Senel

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Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations by Milan Maksimovic, Ivan S. Maksymov

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Exploring the VAK model to predict student learning styles based on learning activity by Ahmed Rashad Sayed, Mohamed Helmy Khafagy, Mostafa Ali, Marwa Hussien Mohamed

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Elastic Optimization for Stragglers in Edge Federated Learning by Khadija Sultana, Khandakar Ahmed, Bruce Gu, Hua Wang

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Advancing buffet onset prediction: a deep learning approach with enhanced interpretability for aerodynamic engineering by Jing Wang, Wei Liu, Hairun Xie, Miao Zhang

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Advancing terrestrial snow depth monitoring with machine learning and L-band InSAR data: a case study using NASA’s SnowEx 2017 data by Ibrahim Olalekan Alabi, Ibrahim Olalekan Alabi, Hans-Peter Marshall, Jodi Mead, Ernesto Trujillo

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