Feedback in Automated Clutch Control Circuit for Truck Start-Up Process by Le Van Nghia

“…Research results confirm an adequacy of the AMESim developed multidisciplinary model. …”
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Aided Greenway Design Approach Based on Internet Big Data and AIGC Fine-Tuning Model by Yifan WU, Lu MENG, Liang LI

“…The rapid development of the Internet industry and artificial intelligence technology is transforming the traditional working modes of landscape design, demonstrating immense potential in the fields of design evaluation research and computer-aided design. Against this backdrop, the research aims to explore the path of AI-aided design for customized landscape architecture scenarios and, by combining network big data and fine-tuning model technology of artificial intelligence generated content (AIGC), bridge the gap between big data analysis research and scenario generation in design practice, and construct a lightweight aided landscape design approach in response to the trend of segmentation, specialization, and customization in landscape design practice.MethodsThe research adopts the Research for Design (RfD) methodology to build an approach framework for integrating research and design practice. …”
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THE PROBLEMS OF INTEGRATING ARTIFICIAL INTELLIGENCE INTO THE JUDICIAL SYSTEM OF RUSSIAN FEDERATION by Dmitry F. Zagotovkin, Kirill Rilsky

“…The study used regulatory legal acts of the Russian Federation, the EU, Canada, the USA and China, scientific legal research and the legal press. Results. The main results of the study showed that the current procedural legislation of the Russian Federation is not adapted to the use of artificial intelligence. …”
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A Methodology to Extract Knowledge from Datasets Using ML by Ricardo Sánchez-de-Madariaga, Mario Pascual Carrasco, Adolfo Muñoz Carrero

“…If such a relationship exists, the main objective of this research is to use it in order to improve performance in the important task of KE from datasets. …”
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MODIFICATION OF FIREWORKS METHOD FOR MULTIOBJECTIVE OPTIMIZATION BASED ON NON-DOMINATED SORTING by A. V. Panteleev, A. U. Krychkov

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Artificial Intelligence Applied in Legal Information: A Systematic Mapping Study by Juan DAlotto DAlotto, Claudia Pons, Leandro Antonelli

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Residual Stresses of Small-Bore Butt-Welded Piping Measured by Quantum Beam Hybrid Method by Kenji Suzuki, Yasufumi Miura, Hidenori Toyokawa, Ayumi Shiro, Takahisa Shobu, Satoshi Morooka, Yuki Shibayama

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Assessing the spatiotemporal dynamics of seasonal and perennial surface water resources across Lesotho’s agroecological zones by Kunwar K. Singh, Sayedeh Sara Sayedi, Ariel BenYishay, Tšepiso A. Rantšo

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Integrating Statistical and Earth <i>AgriData</i> in Small Farming Systems for Food Security by Theodore Tsiligiridis, Katerina Ainali

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All we know about polycythemia vera: literature review and own experience by K. M. Abdulkadyrov, V. A. Shuvaev, I. S. Martynkevich

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Transmission Line Anomaly Detection and Real-Time Monitoring System Combining Edge Computing and EfficientDet by Menghao Lin, Yang Ding, Tianle Wang, Yang Liu, Zewei Li

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The Controlling Factors and Prediction of Deep-Water Mass Transport Deposits in the Pliocene Qiongdongnan Basin, South China Sea by Jiawang Ge, Xiaoming Zhao, Qi Fan, Weixin Pang, Chong Yue, Yueyao Chen

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Natural gas logistics management using multi-criteria optimisation methods by Sergey N. Lanin

“…The article examines modern approaches to improve the efficiency of logistics processes in natural gas distribution. The main objective of the article is to develop and justify a combined approach for optimising these processes, including the use of graph theory and multi-criteria genetic algorithms to minimise the transportation costs and to maximise the revenue. …”
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A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems by Ripal Ranpara, Osamah Alsalman, Om Prakash Kumar, Shobhit K. Patel

“…Abstract This paper presents GreenMU, an innovative proposed novel framework designed to address the two main challenges: energy efficiency as one of the main research components and detection performance in intrusion detection systems. …”
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On-board radar complex for high-precision direction finding of radio sources for autonomous guidance of winged UAVs by Eduard Tserne, Semen Zhyla, Anatoliy Popov, Dmytro Vlasenko, Denys Kolesnikov, Olha Inkarbaieva, Volodymyr Kosharskyi, Hlib Cherepnin

“…Objectives of the research: 1) analysis of the statistical theory of optimization of signal processing algorithms in radar systems; 2) synthesis of direction-finding algorithms for radio measurement sources capable of performing measurements with high accuracy and in a wide range of unambiguous measurement angles; 3) synthesis of the radio direction finder structural scheme and its simulation modelling; 4) design of radio direction finder receiving antennas capable of operating separately and in a complex; 5) justification of the choice of components for the input paths of receivers, parameters of ADC and microcomputers that make up the main components of the radar complex; 6) manufacturing of a working model of the radar complex; 7) experimental measurements in the laboratory. …”
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Enhancing Autonomous Truck Navigation in Underground Mines: A Review of 3D Object Detection Systems, Challenges, and Future Trends by Ellen Essien, Samuel Frimpong

“…The main novelty is its review of underground 3D detection systems in autonomous trucks.…”
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Artificial-Intelligence-Based Energy Management Strategies for Hybrid Electric Vehicles: A Comprehensive Review by Bin Huang, Wenbin Yu, Minrui Ma, Xiaoxu Wei, Guangya Wang

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Performance Evaluation of Metaheuristics for LQR Controller Optimization: A Two-Wheel Balancing Robot Case Study by Jose Ricardo Rivera-Ruiz, Ricardo Rojas-Galvan, Jose R. Garcia-Martinez, Edson Eduardo Cruz Miguel, Omar A. Barra-Vazquez, Maria Ines Cruz Orduna, Jesus Enrique Escalante-Martinez, Juvenal Rodriguez-Resendiz

“…This research addresses these challenges by proposing a methodology to optimize a linear quadratic regulator (LQR) controller using metaheuristic algorithms. …”
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A New Hybrid PSO-HHO Wrapper Based Optimization for Feature Selection by Sumbul Azeem, Shazia Javed, Iftikhar Naseer, Oualid Ali, Taher M. Ghazal

“…Therefore, an effective preprocessing feature selection procedure is essential to identify the relevant features and eliminate unnecessary ones. Metaheuristic algorithms, mainly inspired by nature, are strong candidates for the feature selection process, as they can efficiently search large solution spaces. …”
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Adaptive drive-based integration technique for predicting rheological and mechanical properties of fresh gangue backfill slurry by Chaowei Dong, Jianfei Xu, Nan Zhou, Jixiong Zhang, Hao Yan, Zejun Li, Yuzhe Zhang

“…This research facilitates the assessment and regulation of engineering properties of FGBS in practical engineering applications to meet different working conditions, providing a theoretical basis for further ratio optimization of backfill materials.…”
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