Cooperative Graph-Based Predictive Collision Avoidance (CGPCA): A Decentralized Framework for Safe Drone Traffic Management by Fariborz Rasoulie

“…Unlike traditional methods that rely on fixed geometric rules or purely reactive algorithms, CGPCA leverages predictive learning. …”
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A Genetic Algorithm and PCA-Based Feature Selection to Improve the Failure Diagnosis Performance of Railway Vehicle Doors by Gil Hyun Kang, Ho Cheol Ki, Sang Hyun An, Juhee Choi, Chul Su Kim

“…A method of converting time-based data into position-based data was performed to overcome the deviation problem. …”
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Oriented R-CNN With Disentangled Representations for Product Packaging Detection by Jiangyi Pan, Jianjun Yang, Yinhao Liu, Yijie Lv

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Classification of Aortic Stenosis Patients via ECG-Independent Multi-Site Measurements of Cardiac-Induced Accelerations and Angular Velocities at the Skin Level by Chiara Romano, Emanuele Maiorana, Annunziata Nusca, Simone Circhetta, Sergio Silvestri, Schena Emiliano, Gian Paolo Ussia, Carlo Massaroni

“…Then, binary classification was performed through three machine learning and three deep learning methods, considering SCG, GCG, and their combination. …”
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Development of the Physics Practicum Apparatus based on Microcontroller: A Prototype Constructed from Misconceptions of Basic Kinematics Concepts by Endah Nur Syamsiah, Muhammad Rizka Taufani, Adam Hadiana Aminudin, Rahadian Sri Pamungkas, Reno Muhammad Fadilla, Fatih Najah Nabilah

“…The method employed for the prototype development follows the ADPT model (Analysis, Design, Prototyping, and Testing). …”
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Intelligent recognition algorithm and application of coal mine overhead passenger device based on multiscale feature fusion by Beijing XIE, Heng LI, Hang DONG, Zheng LUAN, Ben ZHANG, Xiaoxu LI

“…The proposed algorithm can meet the requirements of practical inspection scenarios and provide a feasible method for accurate recognition of cmopd with different passenger-carrying statuses. …”
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ARTIFICIAL NEURAL NETWORK FOR MODELS OF HUMAN OPERATOR by Martin Ruzek

“…The search for a compromise between the complexity of biological neural network and the practical feasibility of the artificial network led to a new learning algorithm. This algorithm is based on the classical multilayered neural network; however, the learning rule is different. …”
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Localization of Capsule Endoscope in Alimentary Tract by Computer-Aided Analysis of Endoscopic Images by Ruiyao Zhang, Boyuan Peng, Yiyang Liu, Xinkai Liu, Jie Huang, Kohei Suzuki, Yuki Nakajima, Daiki Nemoto, Kazutomo Togashi, Xin Zhu

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Permuted Temporal Kolmogorov-Arnold Networks for Stock Price Forecasting Using Generative Aspect-Based Sentiment Analysis by Agus Tri Haryono, Riyanarto Sarno, Ratih Nur Esti Anggraini, Kelly Rossa Sungkono

“…The pTKAN architecture best performed in 25 of 27 stock issuers among 19 architectures, which includes traditional-, machine learning-, and deep learning-based architectures tested on the stock transaction dataset.…”
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An Efficient Topology Construction Scheme Designed for Graph Neural Networks in Hyperspectral Image Classification by Yu Zhang, Xin Li, Yaoqun Xu

“…Based on this a priori topology, we designed a GCN model for learning pixel feature representations and integrated it into a unified framework. …”
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AI-based medical ethics education: examining the potential of large language models as a tool for virtue cultivation by Shimpei Okamoto, Masanori Kataoka, Makoto Itano, Tsutomu Sawai

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«Flipped» class – innovative model of training by M. V. Voronina

“…The study showed that there is a lack of:– Qualitative research for a deeper understanding of the phenomenon of the “Inverted” training in specific contexts;– Scientifically based research that examines the various aspects of the tried and tested implementation of the “Inverted” training;– Working programs and training materials for implementing the “Inverted” training, based on the reasonable theoretical foundations and methods of evaluation;– Recommendations for researchers, practitioners and policy-makers of the “Inverted” training to develop action plans; Theoretical and practical contribution of the research:– The analysis of the existing studies on the “Flipped” class of domestic and foreign scientists is conducted;– The positive and negative aspects of the “Flipped” class model are revealed;– Based on the analysis of the students’ survey, the issues are considered, related to the segmentation of the field of education, namely, the effectiveness of the application of the “Inverted” learning.Conclusion. …”
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Increasing uptake of self-management education programmes for type 2 diabetes in primary care: the Embedding research programme including an RCT by Melanie J Davies, Shona Agarwal, Danielle H Bodicoat, Alan Brennan, Simon Dixon, Helen Eborall, Agnieszka Glab, Laura J Gray, Michelle Hadjiconstantinou, Lisa Huddlestone, Nicky Hudson, Anju Keetharuth, Kamlesh Khunti, Caroline Kristunas, Graham Martin, Alison Northern, Mike Patterson, Daniel Pollard, Rebecca Pritchard, Sally Schreder, Jane Speight, Bernie Stribling, Jackie Sturt, Jess Turner, Christina Weis

“…The multifaceted Embedding Package was then designed by a specialist education team based on this list. Workstream 2: feasibility study A single-arm, mixed-methods feasibility study in six practices across two Clinical Commissioning Groups (CCGs; East Midlands) piloted two patient recruitment approaches, data collection methods and intervention delivery in three participant groups: patients, practice staff, staff in SSME providers. …”
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Student Reactions to Just-in-Time Formative and Summative Feedback in a Tablet-Based Family Medicine MCQ Exam by Johanna Klutmann, Constanze Dietzsch, Philip Vogt, Nadine Wolf, Melanie Caspar, Sara Volz-Willems, Johannes Jäger, Fabian Dupont

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Application of Artificial Intelligence Technology for Prompt Diagnosis of Cast Iron Mechanical Properties by A. Yu. Kutsepau, A. P. Kren, A. V. Nikiforov, N. K. Tursunov

“…Feasibility of effective use of machine learning to evaluate hardness has been demonstrated by comparing of calculated hardness values with data obtained with standard testing methods. …”
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STUDY ON THE IMPLEMENTATION OF COMMUNITY-BASED INSTRUCTION IN GRADE 2 NATURAL AND SOCIAL SCIENCES IN BINH CHANH DISTRICT, HO CHI MINH CITY by Nguyen Minh Giang*, Nguyen Ho Kim Ngan

“…The analysis results indicate that most teachers have a correct understanding of and a positive attitude toward this method. They also highly appreciate its feasibility and effectiveness when applied to the Natural and Social Sciences. …”
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Investigating the impact of social media images on users' sentiments towards sociopolitical events based on deep artificial intelligence. by Nafiseh Jabbari Tofighi, Reda Alhajj

“…Using advanced machine learning and deep learning methods for sentiment analysis, textual data were classified to determine the expressed sentiments. …”
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Effects of a school-based physical activity intervention on children with intellectual disability: a cluster randomized trial by Michael Noetel, Taren Sanders, Danielle Tracey, David R. Lubans, Viviene A. Temple, Andrew Bennie, James Conigrave, Mark Babic, Bridget Booker, Rebecca Pagano, James Boyer, Chris Lonsdale

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MA-VoxelMorph: Multi-scale attention-based VoxelMorph for nonrigid registration of thoracoabdominal CT images by Qing Huang, Lei Ren, Tingwei Quan, Minglei Yang, Hongmei Yuan, Kai Cao

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Predicting communities with high tuberculosis case-finding efficiency to optimise resource allocation in Pakistan: comparing the performance of a negative binomial spatial lag mode... by Hasan Tahir, Frank Cobelens, Christina Mergenthaler, Mirjam I Bakker, Tanveer Ahmed, Jake D Mathewson, Daniella Brals, Abdullah Latif, Stephanie Lako, Andreas Werle van der Merwe, Matthys Potgieter, Vincent Meurrens, Zia Samad, Ente Rood

“…The aim of this study was to cross-validate TB positivity rate predictions in ACF settings of an existing Bayesian machine learning (BML) with a simpler frequentist model.Methods We conducted a retrospective analysis of cross-sectional data to identify predictors for detection of bacteriologically confirmed TB cases during ACF events in Pakistan. …”
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