Artificial Intelligence Technologies in Criminal Procedural Proving by M. S. Spiridonov

“…Objective: to summarize and analyze the approaches, established in criminal procedural science, regarding the use of artificial intelligence technologies, to elaborate an author’s approach to the prospects of transformation of criminal procedural proving under the influence of artificial intelligence technologies.Methods: the methodological basis of the research is integrity of general, general scientific and specific legal methods of legal science, including abstract-logical, comparative-legal and prognostic methods.Results: the main areas of using artificial intelligence technologies in the cri mi nal procedure are defined, such as prophylaxis and detection of crimes, organization of preliminary investigation, criminological support of crime investigation, and assessing evidences at pre-trial and trial stages. …”
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High-Precision Electrical Impedance Tomography for Electrical Conductivity of Metallic Materials by Shuanfeng Zhao, Yao Miao, Rongxia Chai, Jiaojiao Zhao, Yunrui Bai, Zheng Wei, Simin Ren

“…In particular, it expands the scope of research in the development and application of resistance tomography, which has tremendous commercial potential research significance.…”
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UIMM-Tracker: IMM-Based with Uncertainty Detection for Video Satellite Infrared Small-Target Tracking by Yuanxin Huang, Xiyang Zhi, Zhichao Xu, Wenbin Chen, Qichao Han, Jianming Hu, Yi Sui, Wei Zhang

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VTGAN based proactive VM consolidation in cloud data centers using value and trend approaches by Aya I. Maiyza, Hanan A. Hassan, Walaa M. Sheta, Karim Banawan, Noha O. Korany

“…We perform simulations using real PlanetLab workloads on Cloudsim to assess the effectiveness of the proposed VTGAN approaches, based on value and trend, compared to the baseline algorithms. The experimental findings demonstrate that the VTGAN (Up current and predicted trends) approach significantly reduces SLA violations and the number of VM migrations by 79% and 56%, respectively, compared to THR-MMT-PBFD. …”
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An intelligent transmission method for multimodal data streams in telemedicine based on multi-path transmission over wide area network by Yue Tong, Lyu Li, Siyuan Li, Lei Wang, Jun Ma, Ting Lyu, Kunlun He

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Lightweight YOLOv8s-Based Strawberry Plug Seedling Grading Detection and Localization via Channel Pruning by CHEN Junlin, ZHAO Peng, CAO Xianlin, NING Jifeng, YANG Shuqin

“…Nevertheless, the overgrowth of seedlings within the plugs can effect the accuracy of detection algorithms. A method for grading and locating strawberry seedlings based on a lightweight YOLOv8s model was presented in this research to effectively mitigate the interference caused by overgrown seedlings.…”
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Chlorophyll-a in the Chesapeake Bay Estimated by Extra-Trees Machine Learning Modeling by Nikolay P. Nezlin, SeungHyun Son, Salem I. Salem, Michael E. Ondrusek

“…Our approach leverages the Extra-Trees (ET) algorithm, a tree-based ensemble method that offers predictive accuracy comparable to that of other ensemble models, while significantly improving computational efficiency. …”
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Vibration Suppression of the Vehicle Mechatronic ISD Suspension Using the Fractional-Order Biquadratic Electrical Network by Yujie Shen, Zhaowei Li, Xiang Tian, Kai Ji, Xiaofeng Yang

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Enhancing the Accuracy of Land Use/Cover Map Using Some Spectral Indices in Sarab County–East Azerbaijan by A. Sarabchi, H. Rezaei, F. Shahbazi

“…To assess the impact of various spectral indices on improving the accuracy of the LULC maps, a set of vegetation indices (NDVI, SAVI, LAI, EVI, and EVI2), bare soil indices (BSI, BSI3, MNDSI, NBLI, DBSI, and MBI), and integrated indices (TLIVI, ATLIVI, and LST), and digital elevation model of study area were successively incorporated into the classification algorithms. Finally, the outcomes from the two classification algorithms were compared, taking into account the influence of the applied indexes. …”
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Grid structure optimization using slow coherency theory and holomorphic embedding method by Fei Tang, Mo Chen, Yuhan Guo, Jinzhou Sun, Xiaoqing Wei, Jiaquan Yang, Xuehao He

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Enhanced PID for pedal vehicle force control using hybrid spiral sine-cosine optimization and experimental validation by Azrul Azim Abdullah Hashim, Nor Maniha Abdul Ghani, Mohammad Osman Tokhi

“…This study develops and validates a force feedback control system for automotive pedals utilizing an optimized PID controller using the hybrid Spiral Sine-Cosine algorithm (SSCA). The primary objective is to enhance system performance by integrating SSCA-tuned PID control and comparing results from simulation and Hardware-in-the-Loop (HIL) testing. …”
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Full lifecycle security management scheme for terminal keys under power IoT by Wang Hui, Yuan Jiahui, Shi Zhentong, Fang Mu

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Comparison Study the Modeling of Limiting Current in the Magneto Electrodeposition of Vanadium using Neural-Wiener Model and Feed Forward Neural Network by Lukman Nulhakim, Ismoyo Aji Sasmita, Monna Rozana, Sudibyo Sudibyo

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An innovative method for improving the performance of unmanned aerial vehicle-based generalized spatial modulation and non-orthogonal multiple access in 6G networks by Mounika Neelam, Anuradha Sundru

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Measurement Of Tremor In The Voices Of Speakers With Parkinson’s Disease by Marcus Bruckl, Alain Ghio

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A 3D acid fracturing design calibrated to describe the productivity index in several southwestern Iranian oil fields by Mohammad Mirhashemi, Kaveh Ahangari, Ali Naghi Dehghan, Kamran Goshtasbi

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Sediment Connectivity in Human-Impacted vs. Natural Conditions: A Case Study in a Landslide-Affected Catchment by Mohanad Ellaithy, Davide Notti, Daniele Giordan, Marco Baldo, Jad Ghantous, Vincenzo Di Pietra, Marco Cavalli, Stefano Crema

“…This research aims to characterize sediment dynamics in the Rupinaro catchment, a uniquely terraced and human-shaped basin in Italy’s Liguria region, employing geomorphometric methods to unravel sediment connectivity in a landscape vulnerable to shallow landslides. …”
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Startup Drift Compensation of MEMS INS Based on PSO–GRNN Network by Songlai Han, Jingyi Xie, Jing Dong

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Advanced hybrid computational analysis of febuxostat solubility using machine learning in supercritical processing method by Turki Al Hagbani, Rami M. Alzhrani, Majed Ahmed Algarni

“…Regression models including GPR, KNN, and a voting regression model using these two basic models are employed in this research. As an innovative aspect of this research, in addition to the Voting model, the HHO algorithm has been used to tune the hyper-parameters of the models. …”
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Development and validation of a carotid plaque risk prediction model for coal miners by Yi-Chun Li, Yi-Chun Li, Yi-Chun Li, Tie-Ru Zhang, Tie-Ru Zhang, Tie-Ru Zhang, Fan Zhang, Fan Zhang, Fan Zhang, Chao-Qun Cui, Chao-Qun Cui, Chao-Qun Cui, Yu-Tong Yang, Yu-Tong Yang, Yu-Tong Yang, Jian-Guang Hao, Jian-Ru Wang, Jiao Wu, Hai-Wang Gao, Ying-Bo Liu, Ming-Zhong Luo, Li-Jian Lei, Li-Jian Lei, Li-Jian Lei

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