Multi-Task Water Quality Colorimetric Detection Method Based on Deep Learning by Shenlan Zhang, Shaojie Wu, Liqiang Chen, Pengxin Guo, Xincheng Jiang, Hongcheng Pan, Yuhong Li

“…The colorimetric method, due to its rapid and low-cost characteristics, demonstrates a wide range of application prospects in on-site water quality testing. Current research on colorimetric detection using deep learning algorithms predominantly focuses on single-target classification. …”
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Performance Enhancement of Steady-State Visual Evoked Field-Based Brain–Computer Interfaces Incorporating MEG Source Imaging by Ye-Sung Kim, Hyojeong Han, Cheong-Un Kim, Soo-In Choi, Min-Young Kim, Chang-Hwan Im

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Belief in building a full-fledged distance learning course in athletic training by Andrii Yefremenko, Illia Shutieiev

“…They are presented as three main blocks: theoretical, practical and controlling. An algorithm for organising practical training in athletic training has been formed. …”
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Surface-Enhanced Raman Scattering Combined with Machine Learning for Rapid and Sensitive Detection of Anti-SARS-CoV-2 IgG by Thais de Andrade Silva, Gabriel Fernandes Souza dos Santos, Adilson Ribeiro Prado, Daniel Cruz Cavalieri, Arnaldo Gomes Leal Junior, Flávio Garcia Pereira, Camilo A. R. Díaz, Marco Cesar Cunegundes Guimarães, Servio Túlio Alves Cassini, Jairo Pinto de Oliveira

“…This study showed that combining Raman spectroscopy and a machine algorithm can be an effective diagnostic method. Furthermore, we highlighted the advantages and disadvantages of each algorithm, providing valuable information for future research.…”
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Dynamic Bayesian network modeling for longitudinal data on child undernutrition in Ethiopia (2002–2016) by Getnet Bogale Begashaw, Getnet Bogale Begashaw, Temesgen Zewotir, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Haile Mekonnen Fenta

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Joint Encryption and Optimization for 6G MEC-Enabled IoT Networks by Manzoor Ahmed, Wali Ullah Khan, Fatma S. Alrayes, Yahia Said, Ali M. Al-Sharafi, Mi-Hye Kim, Khongorzul Dashdondov, Inam Ullah

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Advanced Human Pose Estimation and Event Classification Using Context-Aware Features and XGBoost Classifier by Wasim Wahid, Aisha Ahmed AlArfaj, Ebtisam Abdullah Alabdulqader, Touseef Sadiq, Hameedur Rahman, Ahmad Jalal

“…The system begins with preprocessing steps, including converting videos into image sequences, applying sliding window techniques, and converting images to grayscale, then extracting human silhouettes using binary masks. We use the GrabCut algorithm for human detection and perform skeletonization with Hough transform algorithm. …”
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The Eyes: A Source of Information for Detecting Deepfakes by Elisabeth Tchaptchet, Elie Fute Tagne, Jaime Acosta, Danda B. Rawat, Charles Kamhoua

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DETERMINATION OF WEAK EARTHQUAKE FOCAL MECHANISMS AND MODERN GEODYNAMICS OF SOUTHERN IRAN by Yu. L. Rebetsky, A. A. Lukk, R. E. Tatevossian, V. V. Bykova

“…Arefiev in 1999–2001. The research team studied the seismic setting on the construction site of the Bushehr Nuclear Power Plant. …”
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Enhancing shear strength predictions of UHPC beams through hybrid machine learning approaches by Sanjog Chhetri Sapkota, Ajad Shrestha, Moinul Haq, Satish Paudel, Waiching Tang, Hesam Kamyab, Daniele Rocchio

“…Further, the use of a graphical user interface (GUI) helps researchers and engineers to make quick, well-informed decisions in real-time. …”
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Enhancing High-Temperature Prediction via Sixfold Strategy Consensus-Reaching Processes: A Case Study Using FY-3E Spatiotemporal Remote Sensing Satellite Data by Chao Zhang, Haonan Hou, Arun Kumar Sangaiah, Deyu Li, Wentao Li

“…Following this, the 6FS-CRP algorithm is seamlessly integrated into the adjustable MG PF PRS model, thereby introducing the PF 6FS-CRP application on HTPs. …”
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Design a low-noise 5GHz wideband microwave power amplifier using 90nm CMOS technology with area reduction employing an active inductor by Taha Naufal Fadhil, A.Z. Yonis

“…Improving the performance of 5 GHz low-noise amplifiers is the goal of research into these devices, which tries to solve problems with noise, gain, and power efficiency. …”
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Safety Decision-Making for Autonomous Vehicles Integrating Passenger Physiological States by fNIRS by Xiaofei Zhang, Haoyi Zheng, Jun Li, Zongsheng Xie, Huamu Sun, Hong Wang

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Mapping the EORTC QLQ-C30 and QLQ-LC13 to the SF-6D utility index in patients with lung cancer using machine learning and traditional regression methods by Longlin Jiang, Kexun Li, Simiao Lu, Zhou Hong, Yifang Wang, Qin Xie, Qin He, Sirui Wei, Aoru Zhou, Hong Kang, Xuefeng Leng, Qing Yang, Yan Miao

“…This study aims to develop mapping algorithms to predict SF-6D health utility scores from the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core (EORTC QLQ-C30) and Quality of Life Questionnaire-Lung Cancer 13 (QLQ-LC13). …”
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An optimal weighting-based hybrid classifier for Children's congenital heart diseases signal processing by Morteza Ebrahimpour, Mehdi Khashei

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Hybrid Optimization Machine Learning Framework for Enhancing Trust and Security in Cloud Network by Himani Saini, Gopal Singh, Amrinder Kaur, Sunil Saini, Niyaz Ahmad Wani, Vikram Chopra, Zahid Akhtar, Shahid Ahmad Bhat

“…To strengthen trust evaluation, the framework combines an optimized Levenberg algorithm with the Firefly Algorithm. This integration uses trustworthiness scores and service performance as input parameters, resulting in improved accuracy and reliability in trust assessments. …”
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Development of Artificial Intelligent-Based Methodology to Prepare Input for Estimating Vehicle Emissions by Elif Yavuz, Alihan Öztürk, Nedime Gaye Nur Balkanlı, Şeref Naci Engin, S. Levent Kuzu

“…Machine learning has significantly advanced traffic surveillance and management, with YOLO (You Only Look Once) being a prominent Convolutional Neural Network (CNN) algorithm for vehicle detection. This study utilizes YOLO version 7 (YOLOv7) combined with the Kalman-based SORT (Simple Online and Real-time Tracking) algorithm as one of the models used in our experiments for real-time vehicle identification. …”
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A novel multi-agent dynamic portfolio optimization learning system based on hierarchical deep reinforcement learning by Ruoyu Sun, Yue Xi, Angelos Stefanidis, Zhengyong Jiang, Jionglong Su

“…To address these problems, we propose a novel multi-agent learning system based on the hierarchical deep reinforcement learning (HDRL) algorithmic framework in this research. Under this framework, the agents work together as a learning system for portfolio optimization. …”
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Autonomous car parking Model for different types of parking lots using deep reinforcement learning by В. Олійник, Ю. Данилюк

“…The objective of this research is to develop an intelligent model for autonomous parking that achieves high efficiency under simulated conditions across a broad range of common parking lot types. …”
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Strategies and methods for the correction of obesity and associated cardiovascular risk by T. Yu. Kuznetsova, M. A. Druzhilov, G. A. Chumakova, N. D. Veselovskaya

“…Today, there is a need to study obesity from the perspective of associated with it cardiovascular risk correcting. Future researches will have to study the pathophysiology of adipose tissue in greater detail, including tissue, cellular and molecular levels, in order to develop the most effective strategies for therapeutic and preventive measures. …”
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