Development of educational complex on electrical engineering, electronics and microcon-trollers on modeling in TINA software by Vladimir A. Alekhin

“…It contains five published training manuals, electronic lecture notes on electrical engineering and electronics, computer labs on electrical engineering, electronics and microcontrollers, a multimedia workshop on electronics, video tutorials.This complex is being successfully used in the educational process for full-time and distance education, it also implements the concepts of modern open and mobile education, the basic materials of the complex are placed on the Internet on the website “Electrical engineering and electronics. …”
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Innovative IoT-enabled mask detection system: A hybrid deep learning approach for public health applications by Parul Dubey, Vinay Keswani, Pushkar Dubey, Gunjan Keswani, Dhananjay Bhagat

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Automated skin melanoma diagnostics based on mathematical model of artificial convolutional neural network by D. A. Gavrilov, E. I. Zakirov, E. V. Gameeva, V. Yu. Semenov, O. Yu. Aleksandrova

“…In the last 10 years there has been a revolu on in the fi eld of computer image analysis and pa ern recogni on. Modern algorithms of computer vision equaled and even in some problems surpassed human capabili es. …”
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Quantifying Psychological Sophistication of Malicious Emails by Theodore Tangie Longtchi, Rosana Montanez Rodriguez, Kora Gwartney, Ekzhin Ear, David P. Azari, Christopher P. Kelley, Shouhuai Xu

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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

“…Superpixel-based Graph Neural Networks (GNNs) have achieved remarkable success in hyperspectral image (HSI) classification tasks, primarily due to their ability to capture the implicit topological structure in the data while maintaining low computational complexity by propagating information between spatially adjacent superpixels. …”
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Implementing and Evaluating Automated Bug Triage in Industrial Projects by Hyun-Taek Hong, Dae-Sung Wang, Se-Jin Kim, Hoon Sung, Chang-Won Park, Ho-Hyun Park, Chan-Gun Lee

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Energy efficient trust aware secure routing algorithm with attribute based encryption for wireless sensor networks by M. Selvi, S. V. N. Santhosh Kumar, K. Thangaramya, H. Abdul Gaffar

“…Therefore, security is a major concern for wireless communication since data is transmitted via an open wireless channel that can be accessed by malicious intruders. …”
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EzSkiROS: enhancing robot skill composition with embedded DSL for early error detection by Momina Rizwan, Christoph Reichenbach, Ricardo Caldas, Matthias Mayr, Volker Krueger

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Covariate Model Selection Approaches for Population Pharmacokinetics: A Systematic Review of Existing Methods, From SCM to AI by Mélanie Karlsen, Sonia Khier, David Fabre, David Marchionni, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Elisa Calvier

“…We also highlight the need for an open‐source benchmark of simulated datasets on a representative set of scenarios.…”
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MT-CMVAD: A Multi-Modal Transformer Framework for Cross-Modal Video Anomaly Detection by Hantao Ding, Shengfeng Lou, Hairong Ye, Yanbing Chen

“…Video anomaly detection (VAD) faces significant challenges in multimodal semantic alignment and long-term temporal modeling within open surveillance scenarios. Existing methods are often plagued by modality discrepancies and fragmented temporal reasoning. …”
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A Vulnerable-by-Design IoT Sensor Framework for Cybersecurity in Smart Agriculture by Emil Marian Pasca, Daniela Delinschi, Rudolf Erdei, Iulia Baraian, Oliviu Dorin Matei

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A fine-tuned convolutional neural network model for accurate Alzheimer’s disease classification by Muhammad Zahid Hussain, Tariq Shahzad, Shahid Mehmood, Kainat Akram, Muhammad Adnan Khan, Muhammad Usman Tariq, Arfan Ahmed

“…Our model achieved impressive classification results of 99.4% on the Kaggle MRI dataset as well as 98.2% on the Open Access Series of Imaging Studies (OASIS) database. …”
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Optimizing the early diagnosis of neurological disorders through the application of machine learning for predictive analytics in medical imaging by Vijaya Bhaskar Sadu, Sathvik Bagam, Mohd Naved, Siva Krishna Reddy Andluru, Kamalakar Ramineni, Meshal Ghalib Alharbi, Sudhakar Sengan, Rahmaan Khadhar Moideen

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Surface defect detection on bolt surface using a real-time fine-tuned YOLOv6 model by Chhaya Gupta, Nasib Singh Gill, Preeti Gulia, Faeiz M. Alserhani, Piyush Kumar Shukla, J. Shreyas

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Post-Traumatic Left Subclavian Artery Pseudoaneurysm Secondary to Clavicular Fracture: A Case Report and Literature Review by Małgorzata Edyta Wojtyś, Patryk Skórka, Dawid Kordykiewicz, Aleksander Falkowski, Joanna Jakubowska-Grzeszyk, Janusz Wójcik, Edward Michael Wojtys

“…Reports of iatrogenic pseudoaneurysms and those treated with open surgery were excluded. Variables such as time to diagnosis, clinical presentation, features of pseudoaneurysms, and complications were analyzed to highlight the role of endovascular techniques as a minimally invasive and effective treatment option. …”
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EMB-YOLO: A Lightweight Object Detection Algorithm for Isolation Switch State Detection by Haojie Chen, Lumei Su, Riben Shu, Tianyou Li, Fan Yin

“…This module is designed with a lightweight structure, aimed at reducing the computational complexity and parameter count, thereby optimizing the model’s computational efficiency. …”
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Complete Coverage Path Planning Strategy for Reconfigurable Robot With Variable Footprint by Qinrui Tang, Lim Yi, Ash Yaw Sang Wan, Abdullah Aamir Hayat, Anh Vu Le, Mohan Rajesh Elara

“…These ECVWR can contract to navigate constrained spaces and expand to optimize coverage in open areas. Existing methods for achieving complete area coverage do not account for the reconfiguration or the change in footprint. …”
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Impact of Gait Parameters and Their Variability on Fall Risk Assessment Accuracy Using Wearable Sensor by Jinghao Cai, Zeyang Guan, Jiachen Wang, Ziyun Ding, Yibin Li, Rui Song, Huanghe Zhang

“…However, the impact of these gait parameters and their variability on the overall accuracy of fall risk prediction models remains an open question. This study introduced three fundamental machine learning models—logistic regression, support vector machines (SVM), and an artificial neural network—to predict fall risk among 163 frail older adults. …”
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Knowledge and attitudes about lung cancer screening amongst American Indian adults who use commercial tobacco by Abbie Begnaud, Wyatt Pickner, Antony Stately, Dylan Jennings, Ebiere Okah, Katelyn M. Tessier, Michael Businelle, Dana Carroll

“…Results We found striking similarities to national studies showing most participants are unaware of, but open to, LCS and are looking to their doctors and clinics to provide recommendations for screening. …”
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An Endoscopic Endonasal Approach for Early-Stage Olfactory Neuroblastoma: An Evaluation of 2 Cases with Minireview of Literature by Hidenori Yokoi, Satoru Kodama, Yasunao Kogashiwa, Yuma Matsumoto, Yasuo Ohkura, Takayuki Nakagawa, Naoyuki Kohno

“…One of our patients, however, experienced tumor recurrence 24 years after open surgery with radiotherapy that was conducted at another hospital. …”
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