Artificial intelligence for biodiversity: Exploring the potential of recurrent neural networks in forecasting arthropod dynamics based on time series by Sébastien Lhoumeau, João Pinelo, Paulo A.V. Borges

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Highly efficient electric drive with vision system for traction applications in heavy tracked vehicles by I. Yu. Kholodilin, A. V. Korzhov, M. A. Grigoriev, Yu. I. Khokhlov, N. V. Savosteenko

Subjects: “…traction electric drive field regulated reluctance machine…”
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Random Tree Algorithm to Analyse the Relation between Type of Traumatic Dental Injuries and Its Demographic and Predisposing Factors - A Cross-Sectional Study by Mohammad Kamran Khan, Mahendra Kumar Jindal

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A COMPARATIVE STUDY OF DEEP LEARNING METHODS APPLIED FOR WASTEWATER pH NEUTRALIZATION PROCESS MODELLING by Mădălina Cărbureanu

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Dual feature-based and example-based explanation methods by Andrei Konstantinov, Boris Kozlov, Stanislav Kirpichenko, Lev Utkin, Vladimir Muliukha

Subjects: “…machine learning…”
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A novel machine learning methodology for the systematic extraction of chronic kidney disease comorbidities from abstracts by Eszter Sághy, Mostafa Elsharkawy, Frank Moriarty, Sándor Kovács, István Wittmann, Antal Zemplényi, Antal Zemplényi

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Research on noise-induced hearing loss based on functional and structural MRI using machine learning methods by Minghui Lv, Liping Wang, Ranran Huang, Aijie Wang, Yunxin Li, Guowei Zhang

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Magnetic resonance imaging -based radiomics of the pituitary gland is highly predictive of precocious puberty in girls: a pilot study by Michele Maddalo, Maddalena Petraroli, Francesca Ormitti, Alice Fulgoni, Margherita Gnocchi, Marco Masetti, Eugenia Borgia, Benedetta Piccolo, Emanuela C. Turco, Viviana D. Patianna, Nicola Sverzellati, Susanna Esposito, Susanna Esposito, Caterina Ghetti, Maria E. Street, Maria E. Street

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ZenLDA: Large-Scale Topic Model Training on Distributed Data-Parallel Platform by Bo Zhao, Hucheng Zhou, Guoqiang Li, Yihua Huang

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Advanced AI-driven detection of interproximal caries in bitewing radiographs using YOLOv8 by Mahsa Bayati, Berhrouz Alizadeh Savareh, Hojjat Ahmadinejad, Farzaneh Mosavat

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Perovskite Solar Cell: Chemical Composition and Bandgap Energy via Machine Learning by Filipi França dos Santos, Kelly Cristine Da Silveira, Gesiane Mendonça Ferreira, Daniella Herdi Cariello, Mônica Calixto de Andrade

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Exploring Early Learning Challenges in Children Utilizing Statistical and Explainable Machine Learning by Mithila Akter Mim, M. R. Khatun, Muhammad Minoar Hossain, Wahidur Rahman, Arslan Munir

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Dual-modal radiomics ultrasound model to diagnose cervical lymph node metastases of differentiated thyroid carcinoma: a two-center study by Jiajia Tang, Yan Tian, Jiaojiao Ma, Xuehua Xi, Liangkai Wang, Zhe Sun, Xinyi Liu, Xuejiao Yu, Bo Zhang

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ISOA‐DBN: A New Data‐Driven Method for Studying the Operating Characteristics of Air Conditioners by Mengran Zhou, Qiqi Zhang, Feng Hu, Ling Wang, Guangyao Zhou, Weile Kong, Changzhen Wu, Enhan Cui

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A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction by Md. Alamin Talukder, Majdi Khalid, Nasrin Sultana

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Urinary phthalate metabolites associated with increased prevalence of gallstone disease in U.S. adults: data from the NHANES study by Feng Jia, Yu Chang, Yuguang Li, Fangqi Li, Xinqiao Chen, Xiangliang Liu, Wei Li, Jiuwei Cui

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Estimating the Pile Settlement Using a Machine Learning Technique Optimized by Henry's Gas Solubility Optimization and Particle Swarm Optimization by Saravana Kumar, Savarimuthu Robinson

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Classification and detection of Covid-19 based on X-Ray and CT images using deep learning and machine learning techniques: A bibliometric analysis by Youness Chawki, Khalid Elasnaoui, Mohamed Ouhda

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Towards neuromorphic compression based neural sensing for next-generation wireless implantable brain machine interface by Vivek Mohan, Wee Peng Tay, Arindam Basu

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Machine learning prediction of anxiety symptoms in social anxiety disorder: utilizing multimodal data from virtual reality sessions by Jin-Hyun Park, Yu-Bin Shin, Dooyoung Jung, Ji-Won Hur, Seung Pil Pack, Heon-Jeong Lee, Hwamin Lee, Chul-Hyun Cho, Chul-Hyun Cho

Subjects: “…machine learning…”
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