Understanding Human Papillomavirus Vaccination Hesitancy in Japan Using Social Media: Content Analysis by Junyu Liu, Qian Niu, Momoko Nagai-Tanima, Tomoki Aoyama

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Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse by Ravi Shankar, Qian Xu, Anjali Bundele

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Enhancing the specific modulus of Al–Li alloys: A machine learning approach to micro-alloying element identification by Lyu Jing, Li Yanan, Li Xiwu, Zheng Lei, Xiao Wei, Liu Qilong, Liu Rui, Li Zhihui, Xiong Baiqing

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Data-driven insights into groundwater quality: machine and deep learning approaches by Gift Mbuzi, Abdur Rashid Sangi, Baha Ihnaini, Anil Carie, Sruthi Sivarajan, Satish Anamalamudi

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Predictive utilities of lipid traits, lipoprotein subfractions and other risk factors for incident diabetes: a machine learning approach in the Diabetes Prevention Program by Samuel Dagogo-Jack, Søren Brunak, Carlos Lorenzo, Kieren J Mather, Marinella Temprosa, Tibor V Varga, Jinxi Liu, Ronald B Goldberg, Guannan Chen, Xavier Pi-Sunyer

“…Logistic regression, Cox proportional hazards model and six different hyperparameter-tuned machine learning algorithms were compared. …”
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Comparing Models and Performance Metrics for Lung Cancer Prediction using Machine Learning Approaches. by Ruqiya, Noman Khan, Saira Khan

“…In contrast, NB and RF got 81% accuracy. We performed hyperparameter tuning, which improved LR accuracy to 85%. …”
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Predicting Solar Energy Output On Meteorological Time-Series Data Using Machine Learning by Caleb Harrison, Phadungsak Tubuntoeng, Xudong Liu

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Forecasting Surface Velocity Fields Associated With Laboratory Seismic Cycles Using Deep Learning by G. Mastella, F. Corbi, J. Bedford, F. Funiciello, M. Rosenau

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Toward Artificial General Intelligence in Hydrogeological Modeling With an Integrated Latent Diffusion Framework by Chuanjun Zhan, Zhenxue Dai, Jiu Jimmy Jiao, Mohamad Reza Soltanian, Huichao Yin, Kenneth C. Carroll

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Power grid fault handling plan matching method based on a hybrid neural network by Dajun Xiao, Xialing Xu, Bo Zhang, Yue Zhang, Lianfei Shan, Tao Liu, Xin Li, Yongtian Qiao, Tao Jiang, Yu Wang

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Uncertainty prediction of wind speed based on improved multi-strategy hybrid models by Xinyi Xu, Shaojuan Ma, Cheng Huang

“…This research can provide reference and guidance for nonlinear time-series interval prediction in the real world.…”
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Comparative Analysis of Supervised Classification Algorithms for Residential Water End Uses by Zahra Heydari, Ashlynn S. Stillwell

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Leveraging machine learning to optimize cooling tower efficiency for sustainable power generation by M. A. Mujtaba, Muhammad Adeel Munir, Muhammad Akhtar, Bilal Mahmood, Talha Ansar, Zeeshan Khawar, Shayan Khalid, Abdul Basit, Saud Jamil, M. A. Kalam, Fayaz Hussain, Chiranjib Bhowmik

“…After tuning the hyperparameters, an R-square score of 0.983 and a root mean squared error of 0.57 are achieved. …”
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On Robustness of the Explanatory Power of Machine Learning Models: Insights From a New Explainable AI Approach Using Sensitivity Analysis by Banamali Panigrahi, Saman Razavi, Lorne E. Doig, Blanchard Cordell, Hoshin V. Gupta, Karsten Liber

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Deep learning model optimization for crop prediction and recommendation using Harris Hawks optimization by P Latha, Kumaresan P

“…The primary aim of this research is to deliver timely and accurate crop recommendations by leveraging deep learning methods and crop data. …”
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Combining miRNA concentrations and optimized machine-learning techniques: An effort for the tomato storage quality assessment in the agriculture 4.0 framework by Seyed Mohammad Samadi, Keyvan Asefpour Vakilian, Seyed Mohamad Javidan

“…Fruits’ cold storage lead to an increase or decrease in the concentration (expression) of several miRNAs in their intracellular structure. Moreover, research has shown that conventional machine-learning methods do not exert enough performance in predicting treatments applied to plants by having miRNA concentrations. …”
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Application of laser light backscattering for qualitative and quantitative assessment of dilution of clear and cloudy apple juices by Hoa Xuan Mac, Nga Thi Thanh Ha, László Friedrich, Lien Le Phuong Nguyen, László Baranyai

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Deep learning-assisted screening and diagnosis of scoliosis: segmentation of bare-back images via an attention-enhanced convolutional neural network by Xingyu Duan, Xiaojun Ma, Mengqi Zhu, Linan Wang, Dingqi You, Lili Deng, Ningkui Niu

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Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study by Jingchao Lei, Jia Zhai, Yao Zhang, Jing Qi, Chuanzheng Sun

“…Data from 8834 patients with sepsis in the Medical Information Mart for Intensive Care IV (MIMIC-IV) database were used for training and internal validation, while data from 4236 patients in the eICU-Collaborative Research Database (eICU-CRD) database were used for external validation. …”
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A Genetic algorithm aided hyper parameter optimization based ensemble model for respiratory disease prediction with Explainable AI. by Balraj Preet Kaur, Harpreet Singh, Rahul Hans, Sanjeev Kumar Sharma, Chetna Sharma, Md Mehedi Hassan

“…In the current era, a lot of research is being done in the domain of disease diagnosis using machine learning. …”
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