Cloud-based optimized deep learning framework for automated glaucoma detection using stationary wavelet transform and improved grey-wolf-optimization with ELM approach by Debendra Muduli, Syed Irfan Yaqoob, Santosh Kumar Sharma, Anuradha S. Kanade, Mohammad Shameem, Harendra S. Jangwan, P.M. Ashok Kumar, Abu Taha Zamani

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Clinical portrait of an "ordinary" patient with benign prostatic hyperplasia and the efficacy of treating lower urinary tract symptoms by V. L. Medvedev, M. E. Efremov, P. V. Shornikov, D. S. Isayeva

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The Impact of an Adaptive mHealth Intervention on Improving Patient-Provider Health Care Communication: Secondary Analysis of the DIAMANTE Trial by Lynn Leng, Marvyn R Arévalo Avalos, Adrian Aguilera, Courtney R Lyles

“…MethodsThis study used data from the DIAMANTE (Diabetes and Mental Health Adaptive Notification Tracking and Evaluation) trial, a prospective, randomized controlled trial that varied SMS text messaging strategies to encourage physical activity to support both mental and physical health for patients with diabetes and depression. …”
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Area-based face curve characteristic analysis to recognize Multimodal 2D/3D monozygotic twins using Simpson’s rule and Machine Learning by Gangothri Sanil, Krishna Prakasha, Srikanth Prabhu, Vinod C. Nayak

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Harnessing self-efficacy: Mediating the connection between TPACK and AI intentions among teachers by Christina Ismaniati, Nurul Inayah Khairaty, Nuraini Yusuf, Agus Supramono

“…This study quantitatively identifies the mediating aspect of self-efficacy in the connection between technological pedagogical content knowledge (TPACK) and artificial intelligence (AI) adoption intention towards educators in Indonesia. Data were collected via online surveys using adapted questionnaires, and respondents were selected using stratified random sampling method to ensure the diverse representation of respondent based on their teaching background in Indonesia. …”
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AI-assisted ophthalmic imaging for early detection of neurodegenerative diseases by Hajar Nasir Tukur, Olivier Uwishema, Hatice Akbay, Dalal Sheikhah, Inês Filipa Silva Correia

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DMP-PUNet: A novel network for two-dimensional InSAR phase unwrapping under severe noise and complex fringes conditions by Yu Chen, Shuai Wang, Yandong Gao, Yanjian Sun, Jinqi Zhao, Kun Tan, Peijun Du

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EFCNet: Expert Feature-Based Convolutional Neural Network for SAR Ship Detection by Zheng Chen, Yuxiang Zhang, Jing Bai, Biao Hou

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Development of a neural network-based risk prediction model for mild cognitive impairment in older adults with functional disability by Deyan Liu, Yuge Tian, Min Liu, Shangjian Yang

“…Methods This study, based on data from the 2020 China Health and Retirement Longitudinal Study (CHARLS), focuses on older adults with functional disability as the target population. …”
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Functional Connectivity Metrics in Temporal Lobe Epilepsy: A Machine Learning Perspective With MEG by M. V. Suhas, N. Mariyappa, A. Karunakar Kotegar, M. Ravindranadh Chowdary, K. Raghavendra, Ajay Asranna, L. G. Viswanathan, H. Anitha, Sanjib Sinha

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Driver injury severity in two-vehicle accidents considering collision role by JIN Wenzhou, PEI Xiaohang, TANG Zuogan, YAO Yinjie

“…In order to study the influencing factors of driver injury severity and the interaction effects of collision roles in two-vehicle accidents, based on the data of two-vehicle collision accidents in Shenzhen from 2018 to 2020, we calculate the value of importance degree of characteristic variables by using random forest algorithm to screen out the candidate independent variables, and establish a binary logit model of driver injury severity considering collision angle. …”
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Analysis of Fuzzy Logic Modification for Student Assessment in e-Learning by Retantyo Wardoyo, Wenty Dwi Yuniarti

“…This study presents an analysis of fuzzy logic modification for the assessment of Algorithm and Data Structures courses held in e-Learning. …”
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Mechanism-based modular psychotherapy versus cognitive behavioural therapy for adolescents and young adults with childhood trauma experiences: study protocol for a feasibility tria... by Till Bärnighausen, Hanna Zimmermann, Christian Schmahl, Stephanie Bauer, Beate Ditzen, Hans-Christoph Friederich, Markus W Haun, Astrid Berner-Rodoreda, Elisabeth Schramm, Svenja Taubner, Corina Aguilar-Raab, Sabine C Herpertz, Manuel Feisst, Frank Enning, Katja I Seitz, Niklas Schouler, Jan Hundertmark, Maximilian Wilhelm, Svea Franz, Christoph W Korn, Ruben Vonderlin, Eva Vonderlin, Josef Bailer, Elias Bopp, Sophia von Stockert, Laura Tabea Kristalis, Claudia Calvano

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Predicting stroke with machine learning techniques in a sub-Saharan African population by Benjamin Segun Aribisala, Deirdre Edward, Godwin Ogbole, Onoja M. Akpa, Segun Ayilara, Fred Sarfo, Olusola Olabanjo, Adekunle Fakunle, Babafemi Oluropo Macaulay, Joseph Yaria, Joshua Akinyemi, Albert Akpalu, Kolawole Wahab, Reginald Obiako, Morenikeji Komolafe, Lukman Owolabi, Godwin Osaigbovo, Akinkunmi Paul Okekunle, Arti Singh, Philip Ibinaye, Osahon Osawata, Adeniyi Sunday, Ijezie Chukwuonye, Carolyn Jenkins, Hemant K. Tiwari, Okechukwu Ogah, Ruth Y. Laryea, Daniel T. Lackland, Oyedunni Arulogun, Omotolani Ajala, Rufus Akinyemi, Bruce Ovbiagele, Steffen Sammet, Mayowa Owolabi

“…The aim of this study was to identify the best machine learning (ML) algorithm for stroke prediction. Methods: We assessed medical data of 4,236 subjects comprising 2,118 stroke patients and 2,118 controls from the SIREN database. …”
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Evaluating Security Anomalies by Classifying Traffic Using a Multi-Layered Model by Mohammadreza Samadzadeh, Najmeh Farajipour Ghohroud

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Forest Aboveground Biomass Estimation Based on Unmanned Aerial Vehicle–Light Detection and Ranging and Machine Learning by Yan Yan, Jingjing Lei, Yuqing Huang

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Global infectious disease early warning models: An updated review and lessons from the COVID-19 pandemic by Wei-Hua Hu, Hui-Min Sun, Yong-Yue Wei, Yuan-Tao Hao

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Association of Psychological Resilience With Decelerated Brain Aging in Cognitively Healthy World Trade Center Responders by Saren H. Seeley, Rachel Fremont, Zoe Schreiber, Laurel S. Morris, Leah Cahn, James W. Murrough, Daniela Schiller, Dennis S. Charney, Robert H. Pietrzak, M. Mercedes Perez-Rodriguez, Adriana Feder

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Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam CT Reconstruction by Ander Biguri, Subhadip Mukherjee, Xuzhi Zhao, Xi Liu, Xinyi Wang, Rui Yang, Yi Du, Yahui Peng, Mikael Brudfors, Mark Graham, Hyungon Ryu, Oliver Kutter, Andreas Hauptmann, Mustafa Al-Rubaye, Miika T. Nieminen, Mikael A. K. Brix, Austin Yunker, Rajkumar Kettimuthu, John C. Roeske, Sasidhar Alavala, Subrahmanyam Gorthi, Carola-Bibiane Schonlieb

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Hazard Assessment of Extreme Compound Flood Hazards in Coastal Cities under Climate Change: A Case Study of Haikou City by Liu Qing, Wu Guofeng, Yao Qian, Xu Hanqing, Niu Yiying, Wei Xuchen, Wang Jun, Li Mengya

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