FEATURES OF THE EDUCATIONAL PROCESS IN THE CONTEXT OF THE CORONAVIRUS PANDEMIC (BY THE EXAMPLE OF TEACHING CIVIL LAW) by M. A. Bychko, I. A. Komarevceva

“…Many questions arise around the practical component of training, including how to most effectively organize practical classes for students when using e-learning and distance learning technologies; how ready the teacher is to teach remotely. …”
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Coverage estimation of benthic habitat features by semantic segmentation of underwater imagery from South-eastern Baltic reefs using deep learning models by Andrius Šiaulys, Evaldas Vaičiukynas, Saulė Medelytė, Kazimieras Buškus

“…In this study, two ways to make UI analysis more efficient were tested with eight dominant visual features of the Southeastern Baltic reefs: 1) the simplification of video processing and expert annotation efforts by skipping the video mosaicking step and reducing the number of frames analysed; 2) the application of semantic segmentation of UI using deep learning models. …”
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Machine learning based multi-stage intrusion detection system and feature selection ensemble security in cloud assisted vehicular ad hoc networks by C. Christy, A. Nirmala, A. Mary Odilya Teena, A. Isabella Amali

“…A new method for improving VANET security, a multi-stage Lightweight IntrusionDetection System Using Random Forest Algorithms (MLIDS-RFA), focuses on feature selection and ensemble models based on machine learning (ML). A multi-step approach is employed by the proposed system, with each stage dedicated to accurately detecting specific types of attacks. …”
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Data enrichment for semantic segmentation of point clouds for the generation of geometric-semantic road models by David Crampen, Joerg Blankenbach

“…This workflow is adaptable to various model architectures, from deep learning methods like PointNet++ and PointNeXt to traditional machine learning models such as Random Forest. …”
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Antibiogram use on dairy cattle for bovine respiratory disease: Factors associated with bacterial pathogen identification and prediction of bacterial recovery using machine learnin... by Hugo F. Monteiro, Alejandro Hoyos-Jaramillo, Adriana Garzon, Heather M. Fritz, Craig C. Miramontes, Isabelle M. Matos, Terry W. Lehenbauer, Sharif Aly, Fabio S. Lima, Richard V. Pereira

“…ABSTRACT: Effective isolation of bacterial pathogens for bovine respiratory disease (BRD) is a critical step for accurate diagnosis of the agent associated with this disease on the dairy. …”
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Schizophrenia detection from electroencephalogram signals using image encoding and wrapper-based deep feature selection approach by Utathya Aich, Arghyasree Saha, Marcin Woźniak, Muhammad Fazal Ijaz, Pawan Kumar Singh

“…Using these images in the second step, two pre-trained deep learning models are implemented using transfer learning to extract features for the detection of schizophrenia. …”
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Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection by Shakeel Ahmad, Muhammad Zaman, Ahmad Sami Al-Shamayleh, Rahiel Ahmad, Shafi'I Muhammad Abdulhamid, Ismail Ergen, Adnan Akhunzada

“…The study reviews traditional phishing detection methods, ML and DL models, phishing datasets, and the step-by-step phishing process. It highlights limitations, research gaps, weaknesses, and potential improvements. …”
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Predictive Maintenance and Predictive Repair of Road Vehicles—Opportunities, Limitations and Practical Applications by Jozsef Nagy, Istvan Lakatos

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Characterising Student Teachers’ Noticing Habits in Technology-Enhanced Dialogic Reflection by Yanna Li

“…This research responds to the increasing call to hone Student Teachers’ (ST) skill of selective attention or professional noticing as an essential early step toward developing noticing in the classroom environment. …”
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Image dataset of Taro Leaf Blight disease collected from the West African Sub-RegionMendeley Data by Chidiebere Nwaneto, Chika Yinka-Banjo, Ogban-Asuquo Ugot, Obiageli Umeugochukwu, Thompson Annor

“…The images represent a range of infection stages—early, mid, late, and healthy conditions—captured during the dry and early rainy seasons in Nigeria and Ghana using smartphones equipped with high-resolution cameras.This dataset was carefully curated to help in the development and training of machine learning models for early and accurate detection of TLB, a crucial step towards effective disease management. …”
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Temporal dependency modeling for improved medical image segmentation: The R-UNet perspective by Ahmed Alweshah, Roohollah Barzamini, Farshid Hajati, Shoorangiz Shams Shamsabad Farahani, Mohammad Arabian, Behnaz Sohani

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A Novel Deep Learner for Human Behavior Prediction Over Public Video Surveillance by Bayan Alabdullah, Bisma Batool Fatima, Haifa F. Alhasson, Mohammed Alshehri, Yahya AlQahtani, Nouf Albhassabi, Hui Liu

“…Key frame extraction is the first step in the procedure, which is then followed by sophisticated preprocessing methods like illumination correction, occlusion control, and noise reduction. …”
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Beliefs and conceptions. Complementary perspectives by Fuensanta Hernández Pina, Javier J. Maquilón Sánchez

“…The beliefs and conceptions of teaching and learning held by teachers is a research topic which could mean a step forward in our understanding of important factors for improving the quality of Education. …”
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The Production of Supplementary Learning Materials of Arabic Grammatology Based on The Curriculum 2013 with Scientific Approach at The First State Islamic Senior Hight School Malan... by Abdurrahman Shobirin, Wildana Wargadinata, Nur Hasan

“…So, the book need supplementary learning materials to complete teaching complement. …”
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Influencing Factors of Continuous Intention to Use E-learning System of Undergraduates in Guangxi, China: The Mediating Role of Perceived Ease of Use and Perceived Usefulness by Shen Yan, Liow Guat Eng, Lim Chui Seong

“…Learning motivation is essential to online learning success. …”
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Enhancing software development effort estimation with a cloud-based data framework using use case points, fuzzy logic, and machine learning by Ritu, Pankaj Bhambri

“…Abstract The estimation of effort is a crucial steps in the software development process for establishing necessary resources, their quantity, and the project's duration. …”
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A tailored deep learning approach for early detection of oral cancer using a 19-layer CNN on clinical lip and tongue images by Pinjie Liu, Kambiz Bagi

“…The methodology integrates advanced preprocessing steps, including min-max normalization and histogram-based contrast enhancement, to optimize image features critical for reliable classification. …”
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Use of a 2-year continuing professional development programme to change Japanese physicians’ attitudes to learning primary care: a qualitative study by Masato Matsushima, Yasuki Fujinuma, Masayasu Seki, Tatsuhiro Joki, Hideo Okonogi, Yasuhiko Miura, Iwao Ohno, Jun Hiramoto

“…Analysis of the focus group content using the Steps for Coding and Theorization method.Setting Japan.Participants Eight primary care physicians who completed a 2-year continuing professional development (CPD) programme using a problem-based learning (PBL) approach, focused on acquiring the skills needed to practise as primary care physicians in the community.Results Participants described positive changes in their attitudes and behaviours as a result of the training programme. …”
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Emerging Frontiers in Robotic Upper-Limb Prostheses: Mechanisms, Materials, Tactile Sensors and Machine Learning-Based EMG Control: A Comprehensive Review by Beibit Abdikenov, Darkhan Zholtayev, Kanat Suleimenov, Nazgul Assan, Kassymbek Ozhikenov, Aiman Ozhikenova, Nurbek Nadirov, Akim Kapsalyamov

“…Recent strides in machine learning have made EMG-based control more adaptable, offering users a more intuitive experience. …”
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Hybrid IoT-CAD system: optimized feature selection based gated recurrent residual deep learning for cyber attack detection in IoT networks by Susheela Vishnoi, Sunil Kumar, Saikat Samanta

“…In this work, a novel approach is introduced that combines deep learning (DL) and machine learning (ML) to improve cyber-attack detection in IoT networks, which solves cybersecurity issues. …”
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