Performance Assessment of Multiple Classifiers Based on Ensemble Feature Selection Scheme for Sentiment Analysis by Monalisa Ghosh, Goutam Sanyal

“…Finally, the machine learning classifiers SVM, MNB, KNN, and ME used prominent feature vector for classifying the review document into either positive or negative. …”
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Physics-Informed Denoising Model for Dynamic Data Recovery of Power Systems by Jian Li, Guoqiang Lu, Yongbin Li, Dongning Zhao, Huaiyuan Wang, Yucheng Ouyang

“…In light of the poor interpretability exhibited by traditional machine learning (ML) methods in denoising, a physics-informed denoising model (PIDM) for dynamic data recovery is proposed. …”
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Mapping urban green structures using object-based analysis of satellite imagery: A review by Shivesh Kishore Karan, Bjørn Tobias Borchsenius, Misganu Debella-Gilo, Jonathan Rizzi

“…For classification, the review covers machine learning techniques such as random forests, support vector machines, and convolutional neural networks, among others. …”
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LEAF-YOLO: Lightweight Edge-Real-Time Small Object Detection on Aerial Imagery by Van Quang Nghiem, Huy Hoang Nguyen, Minh Son Hoang

“…Advances in Unmanned Aerial Vehicles (UAVs) and deep learning have spotlighted the challenges of detecting small objects in UAV imagery, where limited computational resources complicate deployment on edge devices. …”
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Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching by Lukas Bischof, Stefan Teodoropol, Rudolf M. Füchslin, Kurt Stockinger

“…In this paper, we evaluate quantum machine learning algorithms for entity matching on a hand-crafted data set and compare them to similar classical algorithms. …”
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EXPERIENCES OF CONDUCTING ONLINE EXAM PROCTORING IN LOW-RESOURCE SETTINGS: A SRI LANKAN CASE STUDY by Dilky N. Felsinger, Thilina Halloluwa, C. L. Ishani Fonseka

“… Online tests are becoming increasingly common as online learning gains popularity. Online assessments are more prone to academic dishonesty than traditional exams. …”
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Manajemen kepala Madrasah Ibtidaiyah dalam menumbuhkan pendidikan karakter religius pada era digital by Murni Yanto

“…Information technology helps facilitate all human activities, information retrieval, convey information and literacy about the addition of knowledge in learning by utilizing technology, so that students can learn by making maximum use of learning resources.…”
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Utilization of geocoding for mapping infrastructure impacts and mobility due to floods in indonesia based on twitter analytics by Muhammad Imam Taufiq, Abba Suganda Girsang

“…The method used is a combination of Qualitative Analysis with Machine Learning and Geospatial Analysis to assess flooding impacts using Twitter data. …”
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A Brief Review of Network Embedding by Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu

“…Learning the representations of nodes in a network can benefit various analysis tasks such as node classification, link prediction, clustering, and anomaly detection. …”
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Enhancing prostate cancer segmentation in bpMRI: Integrating zonal awareness into attention-guided U-Net by Chao Wei, Zheng Liu, Yibo Zhang, Lianhui Fan

“…This research not only enhances the field of medical imaging for oncology but also underscores the potential of deep learning models to progress PCa diagnosis and personalized patient care.…”
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Interval Prediction of Photovoltaic Power Using Improved NARX Network and Density Peak Clustering Based on Kernel Mahalanobis Distance by Wen-He Chen, Long-Sheng Cheng, Zhi-Peng Chang, Han-Ting Zhou, Qi-Feng Yao, Zhai-Ming Peng, Li-Qun Fu, Zong-Xiang Chen

“…Comparative research of point forecasting is implemented to evaluate the machine learning and deep learning methods, with the proposed SAE-BRNARX under four different periods. …”
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Impacts of continuing education on Primary Health Care professionals-A scoping review protocol. by Laianny Krizia Maia Pereira, José Adailton da Silva, Ricardo A de M Valentim, Thaísa G F M S Lima, Nésio Fernandes de M Junior, Alexandre R Caitano, Tatyana Souza Rosendo

“…<h4>Introduction</h4>Continuing Health Education is a strategy that integrates learning into the work process to transform health practices. …”
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ADA-NAF: Semi-Supervised Anomaly Detection Based on the Neural Attention Forest by Andrey Ageev, Andrei Konstantinov, Lev Utkin

“…First, a proposed end-to-end training methodology over normal data minimizes the reconstruction errors while learning and optimizing neural attention weights to focus on hidden features. …”
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Pengembangan panduan konseling kognitif behavioral teknik self management untuk meningkatkan motivasi belajar siswa di sekolah menengah pertama by Cokorda Oka Wibhawa Putra, Nyoman Dantes, Kadek Ari Dwi Arwati

“…The product developed is Cognitive Behavioral Counseling Guide to Self Management Techniques to Increase Students' Learning Motivation in Class VII. This handbook is designed to assist counseling teachers in providing counseling services in schools, especially in overcoming the problem of low learning motivation in class VII studeints. …”
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The Prevalent Parenting Styles of Gifted Students at Ajloun Governorate by Nayef Wahsheh, Kawthar Al-Rabie, Awad Al Fandi, Manal Tayyoun, Eman Taani

“…The population and sample included all students learning at King Abdullah II School of Excellence at Ajloun Governorate, totaling (359) students. …”
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IM- LTS: An Integrated Model for Lung Tumor Segmentation using Neural Networks and IoMT by Jayapradha J, Su-Cheng Haw, Naveen Palanichamy, Kok-Why Ng, Senthil Kumar Thillaigovindhan

“…In recent days, Internet of Medical Things (IoMT) and Deep Learning (DL) techniques are broadly used in medical data processing in decision-making. …”
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Automated 3D semantic segmentation of PCB X-ray CT images and netlist extraction by Adrian Phoulady, Yara Suleiman, Hongbin Choi, Nicholas May, Sina Shahbazmohamadi, Pouya Tavousi

“…This methodology includes high-resolution 3D imaging, watershed segmentation, machine learning-based semantic segmentation, and netlist extraction. …”
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Topology Unveiled: A New Horizon for Economic and Financial Modeling by Yicheng Wei, Junzo Watada, Zijin Wang

“…The most famous practical applications include the use of topological data analysis (TDA) and topological machine learning (TML) for different applied problems.…”
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Remote Minimally Invasive Surgery – Haptic Feedback and Selective Automation in Medical Robotics by Christoph Staub, Keita Ono, Hermann Mayer, Alois Knoll, Heinz Ulbrich, Robert Bauernschmitt

“…In this work, the scaffolding is constituted by abstract patterns, which facilitate the structuring and segmentation of information during “Learning by Demonstration” (LbD). With this concept, the concrete example of knot-tying for suturing is exemplified and evaluated. …”
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Refined matrix completion for spectrum estimation of heart rate variability by Lei Lu, Tingting Zhu, Ying Tan, Jiandong Zhou, Jenny Yang, Lei Clifton, Yuan-Ting Zhang, David A. Clifton

“…Benchmarking on five public datasets, our model shows effectiveness and reliability in estimating uncertainties in HRV spectrum, and has superior performance against five deep learning models. The results underscore the potential of our developed matrix completion-based statistical machine learning model in providing reliable HRV spectrum uncertainty estimation.…”
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