Harnessing AI for Enhanced Weather Prediction: A Focus on Rainfall by Hira Farman, Noman Islam, Noman Hasany

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A Novel Approach for Detection of Cyber Attacks in MQTT-Based IIoT Systems Using Machine Learning Techniques by Serkan Gönen

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Critical raw material-free multi-principal alloy design for a net-zero future by Swati Singh, Mingwen Bai, Allan Matthews, Saurav Goel, Shrikrishna N. Joshi

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ARTIFICIAL INTELLIGENCE IN AGRICULTURE: CURRENT TRENDS AND INNOVATIONS by Jonathan Masasi, John N. Ng’ombe, Blessing Masasi

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Predictive Value of Machine Learning Models for Cerebral Edema Risk in Stroke Patients: A Meta‐Analysis by Qi Deng, Yu Yang, Hongyu Bai, Fei Li, Wenluo Zhang, Rong He, Yuming Li

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Artificial intelligence based prediction and multi-objective RSM optimization of tectona grandis biodiesel with Elaeocarpus Ganitrus by V Vinoth Kannan, Bhavesh Kanabar, J Gowrishankar, Ali Khatibi., Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Pushparaj Thomai, Jasmina Lozanović

Subjects: “…Machine learning…”
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Identification and validation of the important role of KIF11 in the development and progression of endometrial cancer by Biying Wang, Lunmin Bao, Xiaoduo Li, Guang Sun, Wu Yang, Nanzi Xie, Ling Lei, Wei Chen, Hailong Zhang, Man Chen, Xing Zhao, Xiufang Wan, Rui Yuan, Hongmei Jiang

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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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CECT-Based Radiomic Nomogram of Different Machine Learning Models for Differentiating Malignant and Benign Solid-Containing Renal Masses by Qian L, Fu B, He H, Liu S, Lu R

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Humatch - fast, gene-specific joint humanisation of antibody heavy and light chains by Lewis Chinery, Jeliazko R. Jeliazkov, Charlotte M. Deane

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Smart Parking and Smart Transportation with AI based Parking and Driving by Haifa Alqahtani

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Performance Analysis of Diabetes Detection Using Machine Learning Classifiers by Hung Huynh, Liu Hui, Ngoc Han Nguyen, Ruixuan Qiao

Subjects: “…diabetes prediction and diagnosis, machine learning, classifiers, algorithms.…”
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Using Inertial Measurement Units and Machine Learning to Classify Body Positions of Adults in a Hospital Bed by Eliza Becker, Siavash Khaksar, Harry Booker, Kylie Hill, Yifei Ren, Tele Tan, Carol Watson, Ethan Wordsworth, Meg Harrold

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Literature Review of Machine Learning and Threat Intelligence in Cloud Security by Rrezearta Thaqi, Bujar Krasniqi, Artan Mazrekaj, Blerim Rexha

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Detecting Obfuscated Malware Infections on Windows Using Ensemble Learning Techniques by Yadigar Imamverdiyev, Elshan Baghirov, John Chukwu Ikechukwu

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Comparing Statistical and Machine Learning Methods for Time Series Forecasting in Data-Driven Logistics—A Simulation Study by Lena Schmid, Moritz Roidl, Alice Kirchheim, Markus Pauly

Subjects: “…machine learning…”
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Machine Learning Methods for Weather Forecasting: A Survey by Huijun Zhang, Yaxin Liu, Chongyu Zhang, Ningyun Li

Subjects: “…machine learning…”
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Understanding Artificial Intelligence: What It Is and How It Is Used in Agriculture by Daeun Choi, Omeed Mirbod, Uchechukwu Ilodibe, Steven Kinsey

Subjects: “…Machine Learning…”
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Assessing the diagnostic accuracy of machine learning algorithms for identification of asthma in United States adults based on NHANES dataset by Omid Kohandel Gargari, Mobina Fathi, Shahryar Rajai Firouzabadi, Ida Mohammadi, Mohammad Hossein Mahmoudi, Mehran Sarmadi, Arman Shafiee

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Developing an Intelligent System for Efficient Botnet Detection in IoT Environment by Ramesh Singh Rawat, Manoj Diwakar, Umang Garg, Prakash Srivastava

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