Evaluation of the ABC pathway in patients with atrial fibrillation: A machine learning cluster analysis by Jingyang Wang, Haiyang Bian, Jiangshan Tan, Jun Zhu, Lulu Wang, Wei Xu, Lei Wei, Xuegong Zhang, Yanmin Yang

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HOW GENERATIVE AI AUTONOMOUS AGENTS SHAPE THE CURRENT BUSINESS TRENDS AND SMART LEARNING by Josef Daněk, Jan Pospíšil

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TEACHER PERSPECTIVES ON AI-DRIVEN GAMIFICATION: IMPACT ON STUDENT MOTIVATION, ENGAGEMENT, AND LEARNING OUTCOMES by Abdullah Alenezi

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Learning-based locomotion control fusing multimodal perception for a bipedal humanoid robot by Chao Ji, Diyuan Liu, Wei Gao, Shiwu Zhang

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Interacting Large Language Model Agents Bayesian Social Learning Based Interpretable Models by Adit Jain, Vikram Krishnamurthy

Subjects: “…Bayesian social learning…”
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IMPLEMENTATION OF LEARNING MANAGEMENT SYSTEMS WITH GENERATIVE ARTIFICIAL INTELLIGENCE FUNCTIONS IN THE POST-PANDEMIC ENVIRONMENT by Denis-Cătălin Arghir

Subjects: “…online learning…”
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The growth–environment nexus amid geopolitical risks: cointegration and machine learning algorithm approaches by Md. Idris Ali, Md. Atikur Rahaman, Mohammed Julfikar Ali, Md. Ferdausur Rahman

“…To validate robustness, the Kernel Regularized Least Squares (KRLS) machine learning approach is employed, confirming the consistency of results. …”
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Application of deep learning algorithm for judicious use of anti-VEGF in diabetic macular edema by Anwesa Mondal, Apurba Nandi, Subhasish Pramanik, Lakshmi Kanta Mondal

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Enhancing Spam Filtering: A Comparative Study of Modern Advanced Machine Learning Techniques by Zhang Chenwei

“…With an emphasis on Naïve Bayes (NB), Decision Trees (DT), and Support Vector Machines (SVM), this study offers a thorough analysis of the major machine learning techniques utilized in contemporary spam filtering. …”
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Studi Awal Deteksi COVID-19 Menggunakan Citra CT Berbasis Deep Learning by Windra Swastika

“…This research is a preliminary study to see whether CT images of the thorax organs can be used as an alternative to detect COVID-19 virus. The deep learning is used to create a model with CT images as input. …”
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ANALYSIS OF ORGANISATIONAL PERFORMANCE OF NON-PROFIT INSTITUTIONS: THE CASE OF LIFELONG LEARNING INSTITUTIONS IN CROATIA by Zoran Mihanović, Jurica Pavičić, Nikša Alfirević

Subjects: “…institutions of lifelong learning…”
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Predicting the risk of cardiovascular disease in adults exposed to heavy metals: Interpretable machine learning by Meiyue Shen, Yine Zhang, Runqing Zhan, Tingwei Du, Peixuan Shen, Xiaochuan Lu, Shengnan Liu, Rongrong Guo, Xiaoli Shen

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Synthetic Computed Tomography generation using deep-learning for female pelvic radiotherapy planning by Rachael Tulip, Sebastian Andersson, Robert Chuter, Spyros Manolopoulos

“…Synthetic Computed Tomography (sCT) is required to provide electron density information for MR-only radiotherapy. Deep-learning (DL) methods for sCT generation show improved dose congruence over other sCT generation methods (e.g. bulk density). …”
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ANALYSIS OF ORGANISATIONAL PERFORMANCE OF NON-PROFIT INSTITUTIONS: THE CASE OF LIFELONG LEARNING INSTITUTIONS IN CROATIA by Zoran Mihanović, Jurica Pavičić, Nikša Alfirević

Subjects: “…institutions of lifelong learning…”
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Prediction of cardiovascular disease from factors associated with waist hip ratio by machine learning by Zeynep Kucukakcali, Ipek Balikci Cicek

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Enhancing student nurses’ ethical skills via simulation-based learning: barriers and opportunities by Richard M. Rasesemola, Manoko P. T. Molabe

“…While the theme transformative approaches to fostering ethical competency through simulation– based learning indicated some strategies that facilitators could adopt to ensure efficient ethics education for nursing students. …”
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SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

Subjects: “…Active learning…”
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Deep Learning in Music Generation: A Comprehensive Investigation of Models, Challenges and Future Directions by Kong Xiangchen

“…Deep learning has made a lot of progress in the field of music generation. …”
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Predicting Iran Cooperative Development Bank's Profit/Loss: Two-stage Collective Learning by Seyed Bagher Fattahi, Seyed Mozafar Mirbargkar, Ebrahim Chirani, Mohammadreza Vatanparast

Subjects: “…two-stage collective machine learning…”
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Does the Expected Teaching and Learning Take Place in Preprimary Grades in Zambezi Region, Namibia? by Кенет Нзвала

Subjects: “…teaching, learning, kindergarten, children of preschool age, preprimary, primary school students, namibia, zambezi region.…”
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