Cascaded intrusion detection system using machine learning by Md. Khabir Uddin Ahamed, Abdul Karim

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Integrated Approach to the Introduction of Blended Learning in Higher Education by A. V. Rajkhlina, M. V. Gromova, R. V. Kolesov

“…The article summarizes the theoretical developments on the issue of blended learning, emphasizes the relevance of the problem of its implementation, specifies the stakeholders and their positions, and formulates proposals for options for teaching in a blended format.Materials and methods: the first part of the article was written in line with a review study, namely, a quantitative analysis and comparison of the content of scientific publications on the topic under study. …”
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Initiating and integrating user-centred design in upgrading the e-learning layout: a case study on FlexLearn (Brightspace) 2.0 template by Nurdayana Mohamad Noor

“…Positive responses were received from the CLs, and constructive suggestions were considered for FlexLearn 3.0. …”
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Graph representation learning via enhanced GNNs and transformers by Hongrui Mu, Chengchen Zhou, Qiancheng Yu, Qunyue Mu

“…To address the prevalent deficiencies in local feature learning and edge information utilization inherent to GTs, we propose EHDGT, a novel graph representation learning method based on enhanced graph neural networks (GNNs) and Transformers. …”
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Enhancing and Generalizing Position-Velocity Tracking in Imperfect <italic>mm</italic>Wave Systems Using a Low-Complexity Neural Network by Deeb Assad Tubail, Mohammed Zourob, Salama Ikki

“…This work aims to enhance and generalize the joint position-velocity tracking process in millimeter wave (mmWave) systems that suffer from hardware impairments (HWIs), all while considering computational complexity. …”
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The development of MOOCs on students' learning outcomes in science subjects by Nurhikmah H, Anas Arfandi, Farida Febriati, Indra Azis, Istar Al Fatih Malik Nur

“…Desain results show that designing learning material through web-based MOOCs is needed. …”
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Effect of concept mapping strategy in teaching-learning economics at higher classes by Tshewang

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Preoperative assessment in lymph node metastasis of pancreatic ductal adenocarcinoma: a transformer model based on dual-energy CT by Xia Ding, Wei Xu, Yan Xu, Yongchuang Zhang, Huaxiao Xu, Lin Guo, Lei Li

“…Abstract Background Deep learning(DL) models can improve significantly discrimination of lymph node metastasis(LNM) of pancreatic ductal adenocarcinoma(PDAC), but have not been systematically assessed. …”
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Entrepreneurial Intention Model of Learning and Self-Efficacy Aspects by Kurjono Kurjono, Leni Yuliyanti, Saripudin Saripudin

“…The results showed that entrepreneurship learning and self-efficacy had a significant positive effect on entrepreneurial intentions. …”
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Student's Readiness in Using Virtual Reality for Physics Learning by Rahmat Rizal, Irwan Muhammad Ridwan, Herni Yuniarti Suhendi, Ifa Rifatul Mahmudah

“…Students' readiness to use technology in learning serves as the basis for determining which steps should be prioritized to prepare for technology-enhanced learning, ensuring that the technology positively impacts the learning quality. …”
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Vehicle Localization in IoV Environments: A Vision-LSTM Approach with Synthetic Data Simulation by Yi Liu, Jiade Jiang, Zijian Tian

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An Actor–Critic-Based Hyper-Heuristic Autonomous Task Planning Algorithm for Supporting Spacecraft Adaptive Space Scientific Exploration by Junwei Zhang, Liangqing Lyu

“…At the high level, a reinforcement learning strategy based on the actor–critic model is used, combined with the network architecture, to construct a framework for the selection of advanced heuristic algorithms. …”
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Mental Health Issues and 24-Hour Movement Guidelines–Based Intervention Strategies for University Students With High-Risk Social Network Addiction: Cross-Sectional Study Using a Ma... by Lin Luo, Junfeng Yuan, Chen Xu, Huilin Xu, Haojie Tan, Yinhao Shi, Haiping Zhang, Haijun Xi

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Construction of enhanced MRI-based radiomics models using machine learning algorithms for non-invasive prediction of IL7R expression in high-grade gliomas and its prognostic value... by Jie Zhou

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A Virtual Escape Room Plot to Enhance Undergraduate Dental Students’ Skills in Radiographic Differential Diagnosis by Fatma Fayez Badr, Hanadi M. Khalifa

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Unbalancing Datasets to Enhance CNN Models Learnability: A Class-Wise Metrics-Based Closed-Loop Strategy Proposal by Somayeh Shahrabadi, Victor Alves, Emanuel Peres, Raul Morais Dos Santos, Telmo Adao

“…The results showed that the proposed MbCL methods consistently outperformed linear training, achieving top-accuracies of 32% and 72% for both the encompassed dataset-related contexts, therefore, also indicating that classic and GAN-based augmentation approaches had a positive impact on inference performances as resampling strategies. …”
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Classification of finger movements through optimal EEG channel and feature selection by Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Yalcin Isler

“…Additionally, for almost all feature sets, the statistical significance-based feature reduction method improves the prediction performance in the most of classifiers, contributing elaborate EEG channel and feature analysis. …”
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Spectral Feature Extraction Using Partial and General Method by Bin Jiang, Xi Fang, Yang Liu, Xingzhu Wang, Jie Liu

“…In this paper, a novel gradient-based method together with principal component analysis is proposed for the extraction of partial features of stellar spectra, that is, a feature vector indicating obvious local changes in data, which corresponds to the element line positions in the spectra. …”
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Superficially Plausible Outputs from a Black Box: Problematising GenAI Tools for Analysing Qualitative SoTL Data by Mirjam Sophia Glessmer, Rachel Forsyth

“…Since this is a new field, we have not been able to answer this confidently based on published literature, which depicts both very positive as well as highly cautionary accounts. …”
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Shapley additive explanations based feature selection reveals CXCL14 as a key immune-related gene in predicting idiopathic pulmonary fibrosis by Bin Chen, Lu Huan, Junyu Lu, Jinhe Yuan

“…Furthermore, the machine learning-based predictive model demonstrates strong clinical potential and merits further validation in prospective trials to assess its utility and therapeutic implications in real-world settings.…”
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