The Comparison of Classical Statistical and Machine Learning Methods in Prediction of Thrombosis in Patients with Acute Myeloid Leukemia by Ilija Doknić, Mirjana Mitrović, Zoran Bukumirić, Marijana Virijević, Nikola Pantić, Nikica Sabljić, Darko Antić, Živko Bojović

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Experiential learning in action: Designing an elective module in pediatric ocular evaluation for Indian medical graduates by Vidya Hegde, Rashmi Jain, Anupama Bappal

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Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach by Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Eswara Prasad Konakalla, Marwa M. Eid, Nataliia Titova, Sherif S. M. Ghoneim, Ramy N. R. Ghaly

“…A good balance between performance and generalization shall be done by hyperparameter optimization-heavy learning rates; dropout rates and overfitting shall be suppressed effectively. …”
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Optimal selection of machine learning algorithms for ciprofloxacin prediction based on conventional water quality indicators by Shenqiong Jiang, Xiangju Cheng, Baoshan Shi, Dantong Zhu, Jun Xie, Zhihong Zhou

Subjects: “…Machine learning model…”
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Hyperbolic Graph Convolutional Network Relation Extraction Model Combining Dependency Syntax and Contrastive Learning by Jinzhe Li

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Adaptive Coordinated Variable Speed Limit between Highway Mainline and On-Ramp with Deep Reinforcement Learning by Ming Cheng, Chenghao Zhang, Hui Jin, Ziming Wang, Xiaoguang Yang

“…The method of deep reinforcement learning based on deep deterministic policy gradient is employed to solve the proposed model with a row of continuous control variables. …”
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Analysis of stress distribution of CFRP bonded joints: A study of numerical and machine learning approach by Shah Mohammad Azam Rishad, Md Ashraful Islam, Md Shahidul Islam

Subjects: “…Machine learning…”
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Applying the photovoice method with adolescents in mining areas in rural Mozambique: critical reflections and lessons learned by Olga Cambaco, Hermínio Cossa, Andrea Farnham, Eusébio Macete, Mirko S. Winkler, Karin Gross, Khátia Munguambe

“…Several lessons for guiding future research were learned. First, it provided an understanding of the perceived impacts of mining on their health and well-being. …”
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Research on Immersion Teaching Method Based on 5G +XR Technology and Reinforcement Learning Model by Xueqing Xie

“…The experiment showed that the immersive XR teaching method proposed in this paper was better than the traditional teaching mode, whether it was the students' learning effect of knowledge or their participation and experience in learning, which also verified that the method proposed in this paper had certain feasibility and superiority. …”
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IMPROVING PREDICTION ACCURACY OF DEEP LEARNING FOR BRAIN CANCER DIAGNOSIS USING POLYAK-RUPPERT OPTIMIZATION by M Muthulekshmi, Azath Mubarakali, Y M Blessy

Subjects: “…computer-aided diagnosis, brain cancer, deep learning, convolutional neural network, polyak ruppert optimization…”
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A combined model of shoot phosphorus uptake based on sparse data and active learning algorithm by Tianli Wang, Yi Zhang, Haiyan Liu, Fei Li, Dayong Guo, Ning Cao, Yubin Zhang

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Information Geometry and Manifold Learning: A Novel Framework for Analyzing Alzheimer’s Disease MRI Data by Ömer Akgüller, Mehmet Ali Balcı, Gabriela Cioca

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A Review on Optimizing Water Management in Agriculture through Smart Irrigation Systems and Machine Learning by Belarbi Zaid, El Younoussi Yacine

“…Recent advancements in machine learning (ML) offer promising alternatives to enhance the precision and efficiency of ET estimation and smart irrigation systems. …”
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Modeling PM2.5 Urban Pollution Using Machine Learning and Selected Meteorological Parameters by Jan Kleine Deters, Rasa Zalakeviciute, Mario Gonzalez, Yves Rybarczyk

“…The study demonstrates that the use of statistical models based on machine learning is relevant to predict PM2.5 concentrations from meteorological data.…”
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Nomophobia and University Business Students’ Burnout in Online Learning: Mediating effect of Fear of Missing Out by Gangaram Biswakarma, Basu Dev Lamichhane, Deepika Neupane, Keshav Subedi

“…Therefore, this study aims to assess student burnout's psychological aspects during COVID-19 online learning, focusing on Nomophobia and FoMO as predictors. …”
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Machine Learning Classification Techniques for Detecting the Impact of Human Resources Outcomes on Commercial Banks Performance by Sulaiman O. Atiku, Ibidun C. Obagbuwa

“…Most researchers in the past adopted traditional statistics to build prediction models; however, due to the efficiency of machine learning algorithms, a lot of researchers now apply various machine learning algorithms to various fields, including performance prediction systems. …”
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Enhancing arabic morphology learning for beginners: the effectiveness of the eclectic method in modern islamic boarding school by Syahrani Dewi Ajie, Asep Sopian, Shofa Musthofa Khalid

“…For beginner learners of Arabic, morphology is difficult to master because of many changes in word form, so an appropriate learning method is needed to make learning more effective. …”
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Optimal Skipping Rates: Training Agents with Fine-Grained Control Using Deep Reinforcement Learning by Adil Khan, Jiang Feng, Shaohui Liu, Muhammad Zubair Asghar

“…In this paper, how the frame skipping rate influences the agent’s learning and final performance is proposed, particularly using deep Q-learning, experience replay memory, and the ViZDoom Game AI research platform. …”
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Towards an optimization of catheter guidance in vascular surgery: A comparative analysis of the contribution of reinforcement learning by Cheima Bouden

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Automatic Classification System of Drainage Hole Blockage Based on Convolution Neural Network Transfer Learning by Jianbing Lv, Weijun Wu, Xiaoyu Kang, Juan Huang, Gongfa Chen, Shuai Teng, Hejie Gao

“…The results show that when the SGDM gradient optimisation algorithm is used and the learning rate is 0.0001, the identification effect of these samples is the best. …”
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