Study and assessment of qualitative indicators of water sources in the Issyk-Kul mountain ecosystem by Mambetjanova Nurila, Kerimbaeva Alina, Abyshev Oman, Zaripova Anar, Asanbekova Damira

“…In the work for the subsequent creation of models for forecasting and assessing the quality of water sources using machine learning methods on the basis of the obtained data, the selection and justification of research objects (water resource of the Issyk-Kul region) was carried out. …”
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A tutorial review of policy iteration methods in reinforcement learning for nonlinear optimal control by Yujia Wang, Xinji Zhu, Zhe Wu

“…The review concludes with a discussion of open research questions and future directions in RL-based control of nonlinear systems.…”
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Novel Hybrid UNet++ and LSTM Model for Enhanced Attack Detection and Classification in IoMT Traffic by Anzhelika Mezina, Jari Nurmi, Aleksandr Ometov

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Contact-Free Cognitive Load Recognition Based on Eye Movement by Xin Liu, Tong Chen, Guoqiang Xie, Guangyuan Liu

“…The cognitive overload not only affects the physical and mental diseases, but also affects the work efficiency and safety. Hence, the research of measuring cognitive load has been an important part of cognitive load theory. …”
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From Backtracking To Deep Learning: A Survey On Methods For Solving Constraint Satisfaction Problems by Fatima AIT HATRIT, Kamal AMROUN

“…To address this, extensive research has been conducted, leading to the development of effective techniques and algorithms for different types of CSPs, ranging from exhaustive search methods, which explore the entire search space, to modern techniques that use deep learning to learn how to solve CSPs. …”
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Historical perspective and opportunity for computing in memory using floating-gate and resistive non-volatile computing including neuromorphic computing by Jennifer Hasler, Arindam Basu

“…The effort addresses the research activity around the usage of non-volatile memories (NVM) for storage of ‘weights’ in neural networks and the resulting computation through these memory crossbars. …”
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Simultaneous Flow of n-Immiscible Fractional Maxwell Fluids with Generalized Thermal Flux and Robin Boundary Conditions by Abdul Rauf, Qammar Rubbab, Nehad Ali Shah, Kaleem Razzaq Malik

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AutoRL-Sim: Automated Reinforcement Learning Simulator for Combinatorial Optimization Problems by Gleice Kelly Barbosa Souza, André Luiz Carvalho Ottoni

“…To conduct experiments in this research field, it is necessary to define the algorithms and parameters to be applied. …”
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A comprehensive review on smart manufacturing using machine learning applicable to fused deposition modeling by Swapnil Deokar, Narendra Kumar, Ravi Pratap Singh

“…This review aims to provide a comprehensive overview of ML methods potential in FDM processes and highlight areas where ML applications are underexplored or uncharted, providing valuable insights for future research. This study focuses on the use of ML algorithms for predicting part quality of AM parts, such as tensile strength, wear strength, detection of defect, geometric accuracy and minimizing the material waste.…”
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Joint Channel Assignment and Routing in Multiradio Multichannel Wireless Mesh Networks: Design Considerations and Approaches by Omar M. Zakaria, Aisha-Hassan A. Hashim, Wan H. Hassan, Othman O. Khalifa, M. Azram, Lalitha B. Jivanadham, Mistura L. Sanni, Mahdi Zareei

“…Furthermore, the set of reconfiguration algorithms to adapt the network traffic dynamics is also discussed. …”
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MUSeg: A multimodal semantic segmentation dataset for complex underground mine scenes by Shiyan Li, Qingqun Kong, Xuan Gao, Fangzhen Shi, Lianghui Li, Qi Zhang, Penghao Wang, Kehu Yang

“…The dataset has also been evaluated using classical multimodal semantic segmentation algorithms. The MUSeg dataset not only fills the gap in this field but also provides a critical foundation for research and application of multimodal perception algorithms in mining, contributing significantly to the advancement of intelligent mining.…”
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Comparative Study Between Synergetic Control and Sliding Mode Control using MPPT Techniques by Khoukha Bouguerra, Samia Latreche, Hamza Khemliche, Mabrouk Khemliche

“…Researchers are focusing on extracting maximum energy from photovoltaic cells due to non-linear characteristics like solar radiation, temperature, carrier, misdirection, and internal current. …”
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Advanced Deep Learning and Machine Learning Techniques for MRI Brain Tumor Analysis: A Review by Rim Missaoui, Wided Hechkel, Wajdi Saadaoui, Abdelhamid Helali, Marco Leo

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Spectroscopic and Imaging Technologies Combined with Machine Learning for Intelligent Perception of Pesticide Residues in Fruits and Vegetables by Haiyan He, Zhoutao Li, Qian Qin, Yue Yu, Yuanxin Guo, Sheng Cai, Zhanming Li

“…This review focuses on the research progress of the combination of spectroscopic techniques (near-infrared spectroscopy (NIRS), hyperspectral imaging technology (HSI), surface-enhanced Raman scattering (SERS), laser-induced breakdown spectroscopy (LIBS), and imaging techniques (visible light (VIS) imaging, NIRS imaging, HSI technology, terahertz imaging) with machine learning algorithms in the detection of pesticide residues in fruits and vegetables. …”
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Experiment with the X-band radar at the Nizhny Novgorod cable car: First Results by Ponur Kirill Aleksandrovich, Titchenko Yuriy Andreevich, Karaev Vladimir, Meshkov Evgeniy Mihaylovich, Panfilova Mariya Andreevna, Krylov Andrey Vladimirovich, Lebedev I., Khakin E.

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Soil Moisture Retrieval in Winter Wheat Fields at Different Growth Stages: Integrating a Two-Component Polarimetric SAR Decomposition With CIEM by Wenxin Xue, Qinghua Xie, Xing Peng, J. David Ballester-Berman, Jinfei Wang, Jiali Shang, Haiqiang Fu, Jianjun Zhu

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Unraveling the complex genetic landscape of OTOF-related hearing loss: a deep dive into cryptic variants and haplotype phasing by Pei-Hsuan Lin, Cheng-Yu Tsai, Yu-Ting Chiang, Chang-Han Ho, Yue-Sheng Lu, Jacob Shu-Jui Hsu, Yen-Fu Cheng, Shih-Feng Tsai, Chuan-Jen Hsu, Pei-Lung Chen, Chen-Chi Wu

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Segmentation versus detection: Development and evaluation of deep learning models for prostate imaging reporting and data system lesions localisation on Bi‐parametric prostate magn... by Zhe Min, Fernando J. Bianco, Qianye Yang, Wen Yan, Ziyi Shen, David Cohen, Rachael Rodell, Dean C. Barratt, Yipeng Hu

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Petrological controls on the engineering properties of carbonate aggregates through a machine learning approach by Javid Hussain, Tehseen Zafar, Xiaodong Fu, Nafees Ali, Jian Chen, Fabrizio Frontalini, Jabir Hussain, Xiao Lina, George Kontakiotis, Olga Koumoutsakou

“…The main aim of this research is to assess the impact of petrographic characteristics on the engineering properties of carbonate rocks. …”
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Discovery of Potent Dengue Virus NS2B-NS3 Protease Inhibitors Among Glycyrrhizic Acid Conjugates with Amino Acids and Dipeptides Esters by Yu-Feng Lin, Hsueh-Chou Lai, Chen-Sheng Lin, Ping-Yi Hung, Ju-Ying Kan, Shih-Wen Chiu, Chih-Hao Lu, Svetlana F. Petrova, Lidia Baltina, Cheng-Wen Lin

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