MLRec: A Machine Learning-Based Recommendation System for High School Students Context of Bangladesh by Momotaz Begum, Mehedi Hasan Shuvo, Jia Uddin

“…Here, we propose a comparative model named the MLRec model, where we assess how well different machine learning methods predict the dynamics of student life and provide a recommendation to society, parents, and academic advisors. …”
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Project-based Flipped Classroom Method in a Cooking Practice Class: A Case Study by Saem Han, Tae Kyun Na

“…This study introduces the project-based flipped teaching-learning method into a cooking practice class and analyzes student satisfaction. …”
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Machine learning-based prediction of antimicrobial resistance and identification of AMR-related SNPs in Mycobacterium tuberculosis by Yi Xu, Ying Mao, Xiaoting Hua, Yan Jiang, Yi Zou, Zhichao Wang, Zubi Liu, Hongrui Zhang, Lingling Lu, Yunsong Yu

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Randomized trial on the impact of card Game-Based teaching on learning and memory retention of neurological syndromes by Xi Yu, Jiafu Wu, Yuhuan Zhang, Zhixin Di, Wanling Nie, Mingyu Wang, Xingyu Zhu, Yunkai Zhang, Yimeng Wu, Yan Ma, Yuxi Han, Miao Yu

“…Conclusion The NSCG-based teaching method significantly enhances students’ learning and memory retention of neurological syndromes, reduces cognitive load, and increases learning interest. …”
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Acoustic Source Localization Using Kernel-based Extreme Learning Machine in Distributed Microphone Array by Rong WANG, Zhe CHEN, Fuliang YIN

“…During the training phase, by the implementation of kernel function, the output weights of the classifier are calculated and do not need to be tuned. After the kernel-based extreme learning machine (K-ELM) is well trained, the measured generalized cross correlation data are fed into the K-ELM classifier, and the output is the estimated acoustic source position. …”
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AAGP integrates physicochemical and compositional features for machine learning-based prediction of anti-aging peptides by Saptashwa Datta, Jen-Chieh Yu, Yi-Hsiang Lin, Yun-Chen Cheng, Ching-Tai Chen

“…Peptide therapies have emerged as a promising approach in aging studies because of their excellent tolerability, low immunogenicity, and high specificity. Computational methods can significantly expedite wet lab-based anti-aging peptide discovery by predicting potential candidates with high specificity and efficacy. …”
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MGACL: Prediction Drug–Protein Interaction Based on Meta-Graph Association-Aware Contrastive Learning by Pinglu Zhang, Peng Lin, Dehai Li, Wanchun Wang, Xin Qi, Jing Li, Jianshe Xiong

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Federated stochastic gradient averaging ring homomorphism based learning for secure data aggregation in WSN by Saravanakumar Pichumani, T. V. P. Sundararajan, S. M. Ramesh

“…As a consequence, data aggregation leads the ways for new confrontations to WSN security. In this work a method called Federated Stochastic Gradient Averaging Ring Homomorphism-based Learning (FSGARH-L) for secure data aggregation in WSN is proposed. …”
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Patch-Wise-Based Self-Supervised Learning for Anomaly Detection on Multivariate Time Series Data by Seungmin Oh, Le Hoang Anh, Dang Thanh Vu, Gwang Hyun Yu, Minsoo Hahn, Jinsul Kim

“…The proposed approach comprises four key components: (i) maintaining continuous features through patching, (ii) incorporating various temporal information by learning channel dependencies and adding relative positional bias, (iii) achieving feature representation learning through self-supervised learning, and (iv) supervised learning based on anomaly augmentation for downstream tasks. …”
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Efficient wildlife monitoring: Deep learning-based detection and counting of green turtles in coastal areas by Naoya Noguchi, Hideaki Nishizawa, Taro Shimizu, Junichi Okuyama, Shohei Kobayashi, Kazuyuki Tokuda, Hideyuki Tanaka, Satomi Kondo

“…In this study, deep-learning-based You Look Only Once, Version 7 (YOLOv7) models were developed to automatically detect green turtles (Chelonia mydas) in Japanese coastal areas featuring coral reefs and seagrass beds. …”
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A Transfer Learning-Based Framework for Classifying Lymph Node Metastasis in Prostate Cancer Patients by Suryadipto Sarkar, Teresa Wu, Matthew Harwood, Alvin C. Silva

“…An emerging field is the development of artificial intelligence (AI) models, including machine learning and deep learning, for medical imaging to assist in diagnostic tasks. …”
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The Application Status of Radiomics-Based Machine Learning in Intrahepatic Cholangiocarcinoma: Systematic Review and Meta-Analysis by Lan Xu, Zian Chen, Dan Zhu, Yingjun Wang

“…ResultsFifty-eight studies encompassing 12,903 patients were eligible, with an average Radiomics Quality Score of 9.21. Radiomics-based machine learning (ML) was mainly used to diagnose ICC (n=30), microvascular invasion (n=8), gene mutations (n=5), perineural invasion (PNI; n=2), lymph node (LN) positivity (n=2), and tertiary lymphoid structures (TLSs; n=2), and predict overall survival (n=6) and recurrence (n=9). …”
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Ultrasound-based machine learning model to predict the risk of endometrial cancer among postmenopausal women by Yi-Xin Li, Yu Lu, Zhe-Ming Song, Yu-Ting Shen, Wen Lu, Min Ren

“…By integrating radiomics and deep learning features with SR-based image preprocessing, our model improves diagnostic specificity, reduces false positives, and mitigates operator-dependent variability. …”
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Educational Psychology Analysis Method for Extracting Students’ Facial Information Based on Image Big Data by Maoyue Zhang

“…The relative position of facial landmarks and local area texture features based on FACS represent shallow-level features. …”
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Research on load frequency control system attack detection method based on multi-model fusion by Feng Zheng, Weixun Li, Huifeng Li, Libo Yang, Zengjie Sun

“…This paper constructs an LFC system model considering dynamic response characteristics and establishes a reinforcement learning-based method for generating multiple attack strategies, covering typical scenarios such as false data injection (FDI) and load switching attacks. …”
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Extreme Learning Machine and Moving Least Square Regression Based Solar Panel Vision Inspection by Heng Liu, Caihong Zhang, Dongdong Huang

“…In this work, for solar panel vision inspection, we present an extreme learning machine (ELM) and moving least square regression based approach to identify solder joint defect and detect the panel position. …”
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UAV Autonomous Navigation Based on Deep Reinforcement Learning in Highly Dynamic and High-Density Environments by Yuanyuan Sheng, Huanyu Liu, Junbao Li, Qi Han

“…Autonomous navigation of Unmanned Aerial Vehicles (UAVs) based on deep reinforcement learning (DRL) has made great progress. …”
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Crystal’s Self-Alignment for High Power Laser Facility Based on Machine Learning by Yaohan Kang, Daizhong Liu, Xiuqing Jiang, Lei Gong, Xingqiang Lu, Mingying Sun

“…The proposed scheme comprises two modules: a rectangular spiral spot scanning search method module and an automatic spot aligning method module based on the open-source Machine-Learning Online Optimization Package (M-LOOP) algorithm. …”
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Starting driving style recognition of electric city bus based on deep learning and CAN data by Dengfeng Zhao, Zhijun Fu, Chaohui Liu, Junjian Hou, Shesen Dong, Yudong Zhong

“…In this article, a starting driving style recognition method of electric city bus is firstly proposed based on deep learning with in-vehicle Controller Area Network (CAN) bus data. …”
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Development of a hybrid reflective micro learning model based on ICT in Micro Teaching courses by Emil El Faisal, Sani Safitri, Puspa Dianti, Dea Lestari, Sulkipani Sulkipani

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