Long-term comparative analysis of machine learning models: A deep dive into applications of artificial intelligence for enhancing photovoltaic performance prediction by Ali Akbar Yaghoubi, Mahdi Gandomzadeh, Aslan Gholami, Roghayeh Gavagsaz-Ghoachani, Majid Zandi

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Machine Learning Reveals Amine Type in Polymer Micelles Determines mRNA Binding, In Vitro, and In Vivo Performance for Lung-Selective Delivery by Sidharth Panda, Ella J. Eaton, Praveen Muralikrishnan, Erin M. Stelljes, Davis Seelig, Michael C. Leyden, Alexandria K. Gilkey, Jackson T. Barnes, David V. Morrissey, Sapna Sarupria, Branden S. Moriarity, Theresa M. Reineke

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Improving the Performance of Electrotactile Brain–Computer Interface Using Machine Learning Methods on Multi-Channel Features of Somatosensory Event-Related Potentials by Marija Novičić, Olivera Djordjević, Vera Miler-Jerković, Ljubica Konstantinović, Andrej M. Savić

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The Effect of Data Conversion Methods (Naive Bayes, C5.0 & Support Vector Machine) on the Performance of Classification Algorithms in Data Mining by Hussein Ali Attallah, Ahmed Al-Asadi, Doctor, Sadeer Sadeq

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Design and finite element analysis of a high‐performance surface‐permanent magnet synchronous reluctance machine with optimised robustness towards demagnetisation by Hamidreza Ghorbani, Behrooz Majidi, Mohamed Benbouzid

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Technical Solution for Enhancing Signal Forwarding Performance of Train Backbone Network Switch Machines Based on FPGA Multi-level Switching Architecture by MI Zhihong, ZHANG Guangyuan, LI Bin

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Assessing the performance of machine learning and analytical hierarchy process (AHP) models for rainwater harvesting potential zone identification in hilly region, Bangladesh by Md. Mahmudul Hasan, Md. Talha, Most. Mitu Akter, Md Tasim Ferdous, Pratik Mojumder, Sujit Kumar Roy, N.M. Refat Nasher

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An ensemble machine learning-based performance evaluation identifies top In-Silico pathogenicity prediction methods that best classify driver mutations in cancer by Subrata Das, Vatsal Patel, Shouvik Chakravarty, Arnab Ghosh, Anirban Mukhopadhyay, Nidhan K. Biswas

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Data-Driven Prediction of Binder Rheological Performance in RAP/RAS-Containing Asphalt Mixtures by Eslam Deef-Allah, Magdy Abdelrahman

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Energy Consumption Studies of Machine-Tractor Aggregate for Staggered Sowing of Hoeing Crops on Calcic Chernozem by Beloev Hristo, Dimitrov Petar, Kangalov Plamen, Stoyanov Kaloyan, Atanasov Atanas, Enchev Evgeni, Donev Vlado

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Cryogenic and conventional machining using CVD-coated inserts to improve the surface characteristics of low-carbon steel alloy E350 by Sagar Vijayendra, Vikas Marakini, Raghavendra Pai K., Srinivasa Pai P., Gururaj Bolar

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Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review by Jyotismita Chaki, S. Thillai Ganesh, S.K Cidham, S. Ananda Theertan

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Research on deterioration mechanism of graded gravel in high-speed railway subgrade layer based on machine vision by Tai-feng Li, Xian-pu Xiao, Rong-hui Yan, Kang Xie, Jia-shen Li, Ruo-han Dai

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A Machine Learning-Based Intelligent Framework for Predicting Energy Efficiency in Next-Generation Residential Buildings by Hafiz Muhammad Shakeel, Shamaila Iram, Richard Hill, Hafiz Muhammad Athar Farid, Akbar Sheikh-Akbari, Farrukh Saleem

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A Review on Machine Learning Models in Injection Molding Machines by Senthil Kumaran Selvaraj, Aditya Raj, R. Rishikesh Mahadevan, Utkarsh Chadha, Velmurugan Paramasivam

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A New Approach for the Betterment of Wireless Network Performance Using Bandwidth Degradation and Ad-hoc Relaying by Maryam Monemian, Pejman Khadivi

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Recent Developments and Trends in High-Performance PMSM for Aeronautical Applications by Chendong Liao, Nicola Bianchi, Zhuoran Zhang

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Prediction Analysis for Business To Business (B2B) Sales of Telecommunication Services using Machine Learning Techniques by Oryza Wisesa, Andi Andriansyah, Osamah Khalaf

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Trade-off analysis of machinability of steel alloy AISI 304L using Taguchi-grey integrated approach by Faisal Abbas, Muhammad Ali Khan, Muhammad Iftikhar Faraz, Syed Husain Imran Jaffery, Sohail Akram, Jana Petru, Refka Ghodhbani, Walid M. Shewakh

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An Analysis of Semi-Supervised Machine Learning in Electrical Machines by V. Raju Arvind, S. Shyamsharan, Poorvajaa Gurunathan, Krishna Kumba, Nawin Ra

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