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

“…The aim of this study is to develop high-precision functioning algorithms, practical recommendations for implementation, and experimental measurements of the main parameters of the onboard radio direction finders of radio radiation sources placed on winged UAVs. …”
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Artificial intelligence in personalized nutrition and food manufacturing: a comprehensive review of methods, applications, and future directions by Kushagra Agrawal, Polat Goktas, Navneet Kumar, Man-Fai Leung

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Evaluating the Thermohydraulic Performance of Microchannel Gas Coolers: A Machine Learning Approach by Shehryar Ishaque, Naveed Ullah, Sanghun Choi, Man-Hoe Kim

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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

“…It assesses deep learning algorithms, fusion techniques, multi-modal sensor suites, and limited datasets in an underground detection system. …”
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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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A Method for Optimizing the Load Characteristic of Disc Cam-Follower Mechanisms With Oscillating Roller Followers by Xiao Zhenqian, Wang Wenge, Pan Yukang, Rao Xinghua

“…The large load torque fluctuation of disc cam mechanism with oscillating roller followers mainly affects the steady performance of servo motor in high-speed precision machinery.According to the load characteristic,a optimization method for reducing the mechanism overall load torque fluctuation is proposed by optimizing the resistance torque in the process of active parts and follower.This method is based on the cam curve motion law modulation method and particle swarm optimization algorithm,through generating new cam profile to complete the optimization process.The optimization of device is completed by applying this method on transfer mechanism in high speed packaging machinery.The simulation result shows that,the load fluctuation of device can be effectively reduceds.…”
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ISSA-Based Evaluation Method of Actual Navigation Performance of Rotorcraft Logistics Unmanned Aerial Vehicles by Fei Liu, Liang Zhao, Maolin Wang, Meiliwen Wu

“…The contribution of this paper mainly includes constructing the ANP optimization model and designing the ISSA method. …”
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Deep Reinforcement Learning-Based Dynamic Scheduling for Real-Time Applications in LTE and RAN Slicing for eMBB in 5G by Houssem Eddine Benmadani, Mohamed Azni, Turki Essa Alharbi, Mohammed S. Alzaidi, Mohamed Tounsi

“…The simulation results show that the proposed algorithm always outperforms the QoS performance, especially for real-time applications.…”
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Non-Destructive Methods Based on Machine Learning for the Prediction of Sweet Potato Leaf Area: A Comparative Approach by Joao Everthon Da Silva Ribeiro, Ester Dos Santos Coelho, Antonio Gideilson Correia Da Silva, Pablo Henrique De Almeida Oliveira, Elania Freire Da Silva, Gisele Lopes Dos Santos, Anna Kezia Soares De Oliveira, John Victor Lucas Lima, Walter Esfrain Pereira, Lindomar Maria Da Silveira, Aurelio Paes Barros

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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

“…The performance of each algorithm is evaluated through a comparative analysis, focusing on control stability and dynamic responsiveness. …”
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Research on energy-efficient physical-layer secure transmission mechanism in decode-and-forward cooperative networks by Dong WANG, Yong-cheng LI, Bo BAI, Man-xi WANG

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Multi-center study: ultrasound-based deep learning features for predicting Ki-67 expression in breast cancer by Qishan Cen, Man Wang, Siying Zhou, Hong Yang, Ye Wang

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Identifying Timber Species by Diffuse Reflection Spectra in the Near-Infrared Region Using a Linear Discriminant Analysis by A. N. Khokh, V. B. Zvyagintsev

“…The article presents an algorithm of analysis of coniferous timber materials (Pinus sylvestris L., Pinus sibirica Du Tour, Larix decidua Mill., Abies alba L. and Picea abies (L.) …”
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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

“…Nevertheless, the impact of water content exhibits a contrasting outcome. This is mainly because fine-grained (0–0.15 mm) GS improves the uniformity and density between particles in the slurry, while excess water content disrupts the balance provided by fine-grained GS, and the uneven distribution of particles in the slurry can be caused. …”
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Efficient key management solution based on binary-tree and self-organize theory by WANG Shun-man1, TAO Ran1, WANG Yue1

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Design of shuffling protocol based on additive secret sharing by ZHANG Yanshuo, MAN Ziqi, ZHOU Xingyu, YANG Yatao, HU Ronglei

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Flexible scheduling strategy for power systems considering source-load uncertainty by Qunmin YAN, Xiaoyu REN, Xiao SONG, Mengjue ZHAO, Chen AN

“…The two-stage robust model is transformed into relatively independent main problems and sub-problems，and the column constraint generation （C&CG） algorithm and strong dyadic theory are adopted to iterate repeatedly to approximate the optimal solution. …”
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Formation of a Strategy for Increasing the Efficiency of Operation of Distribution Electrical Grids at the Stage of Pre-Design Works by A. V. Zhurakhivskyi, Z. M. Bakhor, A. Ya. Yatseiko, V. H. Hapanovych

“…The main criterions to assess the quality of operation of distribution electrical grids are considered. …”
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