University proceedings. Volga region. Technical sciences by E.A. Tchufistov, O.E. Tchufistov, M. Blagojević, M. Vasic

“…The purpose of the study is to use techniques, models and algorithms to establish the law of rotation of the driven element. …”

Dynamic Network Plasticity and Sample Efficiency in Biological Neural Cultures: A Comparative Study with Deep Reinforcement Learning by Moein Khajehnejad, Forough Habibollahi, Alon Loeffler, Aswin Paul, Adeel Razi, Brett J. Kagan

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AN APPROACH TO CELL NUCLEI COUNTING IN HISTOLOGICAL IMAGE ANALYSIS by M. M. Lukashevich, V. V. Starovoitov

“…Critical parameters defined algorithms, configurable at each stage of image analysis. …”
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Multi-Hazard Susceptibility Mapping Using Machine Learning Approaches: A Case Study of South Korea by Changju Kim, Soonchan Park, Heechan Han

“…Furthermore, it offers a basis for future research exploring the interaction effects of multi-hazards.…”
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Automatic Classification of Non-Patent Literature via Patent-Literature Text Mining by Seongwon Kim, Donghee Yoo, Suwon Lee

“…For example, a process is reviewed in which international patent classificationcodes are automatically assigned to scholarly papers using machine-learning algorithms. Based on analyzing methods that leverage text-similarity and text-classification algorithms, the automatic classification of non-patent literature through patent-literature text mining is shown to be effective and thus warrants further research. …”
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Evaluating Deep Learning Networks Versus Hybrid Network for Smart Monitoring of Hydropower Plants by Fatemeh Hajimohammadali, Emanuele Crisostomi, Mauro Tucci, Nunzia Fontana

“…With modern hydropower plants equipped with sensors that capture extensive data, machine learning algorithms utilizing these data to detect and predict anomalies have gained research attention. …”
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University proceedings. Volga region. Technical sciences by P.V. Malinin, P.Yu. Bochkarev, I.I. Artemov

“…Based on these connections, methodological, algorithmic and software tools were created to determine the allowance as part of the technological preparation of through-centerless grinding operations. …”

Detection and Analysis of Malicious Software Using Machine Learning Models by Selman Hızal, Ahmet Öztürk

“…In this study, we evaluate the performance of ML algorithms for obfuscated malware detection using the CIC-MalMem-2022 dataset. …”
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Deep Space Insights: Machine Learning Revolutionizing Astrophysical Discoveries by Dutta Samya, Paul Prithwineel

“…The paper concludes with a preview of future potential in ML for astrophysics, particularly discussing ongoing research and novel algorithms designed specifically to target challenges of astronomical data.…”
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A trigonometric function-based big data model for network information security control mechanisms by Bohan Zhang, Ruoyu Tan

“…For instance, cryptography proposes the principle of confidentiality and uses key generation, plain text flow processes, and encryption algorithms to control the flow of ciphertext, all of which require extensive research on network system security. …”
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Bridging the Gap Between Theory and Practice: Fitness Landscape Analysis of Real-World Problems with Nearest-Better Network by Yiya Diao, Changhe Li, Junchen Wang, Sanyou Zeng, Shengxiang Yang

“…For a long time, there has been a gap between theoretical optimization research and real-world applications. A key challenge is that many real-world problems are black-box problems, making it difficult to identify their characteristics and, consequently, select the most effective algorithms to solve them. …”
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Vessel Trajectory Data Mining: A Review by Alexandros Troupiotis-Kapeliaris, Christos Kastrisios, Dimitris Zissis

“…This survey offers a comprehensive review of contemporary research in trajectory data mining, with a particular focus on maritime applications. …”
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Microwave Sensors and Their Applications in Permittivity Measurement by Changjun Liu, Chongwei Liao, Yujie Peng, Weixin Zhang, Bo Wu, Peixiang Yang

“…This review illustrates many new types of research in recent years. Firstly, the application background is briefly introduced, and several main measurement methods are presented. …”
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A Comprehensive Survey on Coverage Path Planning for Mobile Robots in Dynamic Environments by K. P. Jayalakshmi, Vishnu G. Nair, Dayakshini Sathish

“…This survey reviews recent advancements in CPP, focusing on algorithms and methodologies tailored for dynamic environments. …”
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ENHANCING PROSTHETIC FUNCTIONALITY: A NOVEL APPROACH WITH MYOELECTRIC BIONIC ARM DESIGN by Nivethitha B, Sriram V, Mukundha Krishnan B, Manimaran V

“…The system captures muscle signals in real-time, processes them via a microcontroller, and translates them into precise motor-driven finger movements. Machine learning algorithms improve signal interpretation accuracy, ensuring responsive and natural hand motion. …”
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Determination of Anatolian Plate’s tectonic block boundaries with clustering analysis using GNSS sites velocities by Şeyma Şafak Yaşar, İbrahim Tiryakioğlu, Bahadır Aktuğ, Hediye Erdoğan, Çağlar Özkaymak

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Prosthetics and Techniques in Repair of Animal’s Abdominal Wall by Gamal Karrouf, Adel Zaghloul, Mohamed Abou-Alsaud, Elie Barbour, Khaled Abouelnasr

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Consumer Happiness in the Purchase of Electric Vehicles: a Fuzzy Logic Model by Fernando Lámbarry-Vilchis, Aboud Barsekh Onji, Leticia Refugio Chavarría López, Paola Judith Maldonado Colín

“…This study analyzes customer happiness in acquiring an electric vehicle, considering pleasure as an ambiguous language term that conventional models have inadequately incorporated. This research was conducted using a fuzzy Delphi method survey targeting a specific consumer group and two fuzzy inference systems: a multi-input single-output FIS model and an FIS Tree employing a hierarchical fuzzy inference structure, which leverages the survey's training data to optimize the models using different machine learning algorithms. …”
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A Hybrid Approach for Target Discrimination in Remote Sensing: Combining YOLO and CNN-Based Classifiers by Jamesson Lira Silva, Fabiano da Cruz Nogueira, Douglas Damião de Carvalho, Elcio Hideiti Shiguemori, Angelo Passaro

“…Additionally, our research investigated the use of two CNN architectures, Inception-v3 and VGG-16, to extract relevant information from the images. …”
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Location Prediction on Trajectory Data: A Review by Ruizhi Wu, Guangchun Luo, Junming Shao, Ling Tian, Chengzong Peng

“…Finally, we identify the potential challenges and future research directions in location prediction.…”
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