Deep Learning Architecture to Infer Kennedy Classification of Partially Edentulous Arches Using Object Detection Techniques and Piecewise Annotations by Zohaib Khurshid, MRes, FDTFEd, FHEA, Maria Waqas, PhD, Shehzad Hasan, PhD, Shakeel Kazmi, PhD, Muhammad Faheemuddin, FCPS

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Discovery of novel PRMT1 inhibitors: a combined approach using AI classification model and traditional virtual screening by Jungan Zhang, Yixin Ren, Yixin Ren, Yun Teng, Han Wu, Jingsu Xue, Lulu Chen, Xiaoyue Song, Yan Li, Ying Zhou, Zongran Pang, Zongran Pang, Hao Wang, Hao Wang, Hao Wang

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MM-HiFuse: multi-modal multi-task hierarchical feature fusion for esophagus cancer staging and differentiation classification by Xiangzuo Huo, Shengwei Tian, Long Yu, Wendong Zhang, Aolun Li, Qimeng Yang, Jinmiao Song

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Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images by K. Lakshmi, Sibi Amaran, G. Subbulakshmi, S. Padmini, Gyanenedra Prasad Joshi, Woong Cho

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Co-occurring factors associated with suicidal ideation among individuals with parole involvement: A classification and regression tree analysis by Leah MCCOY, Javier F. BOYAS, Sung Seek MOON, Michael A. ROBINSON, Onick LEWIS, Amy E. COX

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Enhanced Disc Herniation Classification Using Grey Wolf Optimization Based on Hybrid Feature Extraction and Deep Learning Methods by Yasemin Sarı, Nesrin Aydın Atasoy

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Exploring Machine Learning Classification of Movement Phases in Hemiparetic Stroke Patients: A Controlled EEG-tDCS Study by Rishishankar E. Suresh, M S Zobaer, Matthew J. Triano, Brian F. Saway, Parneet Grewal, Nathan C. Rowland

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Genetic classification and geochemical evaluation of Upper Cretaceous carbonate reservoir oils in Dezful Embayment and Abadan Plain, SW Iran by Hossein Saadati, Ali Kadkhodaie, Mehrab Rashidi, Hossein Bahrami, Hashem Sarafdokht, Dmitriy A. Martyushev, Amir Abbass Jahangard

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Clastic facies classification using machine learning-based algorithms: A case study from Rawat Basin, Sudan by Anas Mohamed Abaker Babai, Olugbenga Ajayi Ehinola, Omer.I.M. Fadul Abul Gebbayin, Mohammed Abdalla Elsharif Ibrahim

“…Random Forest (RF) and Gradient Boosting (GB) are highly effective for facies classification because they handle complex relationships and provide high predictive accuracy. …”
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Research on the quantification and automatic classification method of Chinese cabbage plant type based on point cloud data and PointNet++ by Chongchong Yang, Chongchong Yang, Lei Sun, Lei Sun, Jun Zhang, Jun Zhang, Xiaofei Fan, Xiaofei Fan, Dongfang Zhang, Dongfang Zhang, Tianyi Ren, Tianyi Ren, Minggeng Liu, Minggeng Liu, Zhiming Zhang, Zhiming Zhang, Wei Ma, Wei Ma

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Developing an AI-Powered Algorithm for Automated Detection and Classification of Dental Caries from Intraoral Radiographs: A Machine Learning Approach by Mohammad Haider

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Return to sports activities following posterior scoliosis correction and instrumented fusion for adolescent idiopathic scoliosis and its correlation to Lenke classification by Tahir Khaleeq, Ibrahim Jaly, Matthew Lea, Devi Prakash Tokala, Neil Davidson, Jayesh Trivedi, Sudarshan Munigangaiah

“…There were Lenke 1 (31), Lenke 2 (7), Lenke 3 (12), Lenke 4 (8), Lenke 5 (7), and Lenke 6 (1). …”
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Traffic classification in SDN-based IoT network using two-level fused network with self-adaptive manta ray foraging by Mohammed A. Aleisa

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Proposal for a revised Barthel index classification based on mortality risk assessment in functional dependence for basic activities of daily living by Vicente Martín Moreno, Vicente Martín Moreno, María Inmaculada Martínez Sanz, Amanda Martín Fernández, Sara Guerra Maroto, Eva Sevillano Fuentes, Elena Pérez Rico, Irene Sánchez González, Miriam Fernández Gallardo, Julia Herranz Hernando, María Palma Benítez Calderón, Laura Calderón Jiménez, Elena Sánchez Rodríguez, Miguel Recuero Vázquez, Helena Alonso Samperiz, Irene León Saiz, Juana Marcos Guerra

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Novel method for classification of prion diseases by detecting PrPres signal patterns from formalin-fixed paraffin-embedded samples by Sachiko Koyama, Kaoru Yagita, Hideomi Hamasaki, Hideko Noguchi, Masahiro Shijo, Kosuke Matsuzono, Kei-Ichiro Takase, Keita Kai, Shin-Ichi Aishima, Kyoko Itoh, Toshiharu Ninomiya, Naokazu Sasagasako, Hiroyuki Honda

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Models for the marrow: A comprehensive review of AI‐based cell classification methods and malignancy detection in bone marrow aspirate smears by Tabita Ghete, Farina Kock, Martina Pontones, David Pfrang, Max Westphal, Henning Höfener, Markus Metzler

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Book review: Satija, M.P. and Kyrios, Alex. A handbook of history, theory and practice of the Dewey Decimal Classification system by Elena Maceviciute

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A deep transfer learning based convolution neural network framework for air temperature classification using human clothing images by Maqsood Ahmed, Xiang Zhang, Yonglin Shen, Nafees Ali, Aymen Flah, Mohammad Kanan, Mohammad Alsharef, Sherif S. M. Ghoneim

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Robust self management classification via sparse representation based discriminative model for mild cognitive impairment associated with diabetes mellitus by Yun-xian Wang, Rong Lin, Hao Liang, Yuan-jiao Yan, Ji-xing Liang, Ming-feng Chen, Hong Li

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Automated classification of stress and relaxation responses in major depressive disorder, panic disorder, and healthy participants via heart rate variability by Sangwon Byun, Ah Young Kim, Min-Sup Shin, Hong Jin Jeon, Hong Jin Jeon, Chul-Hyun Cho, Chul-Hyun Cho

“…The impact of personalized longitudinal scaling on classification accuracy was also assessed.ResultsRandom forest classification accuracies were 0.67 for MDD, 0.69 for PD, and 0.73 for HCs, indicating higher accuracy in the HC group. …”
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