The Role of Artificial Intelligence in Boosting Cybersecurity and Trusted Embedded Systems Performance: A Systematic Review on Current and Future Trends by Ahmed Oun, Kaden Wince, Xiangyi Cheng

“…The key findings of our review indicate that AI significantly enhances security measures by enabling capabilities such as detection, classification, feature selection, data privacy preservation, model combination, data generation, output interpretation, optimization, and adaptation. …”
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Utilizing a Transient Electromagnetic Inversion Method with Lateral Constraints in the Goaf of Xiaolong Coal Mine, Xinjiang by Yingying Zhang, Bin Xie, Xinyu Wu

“…Using the Xiaolong Coal Mine as a geological context, the impact of lateral and vertical weighting factors on the inversion outcomes of high- and low-resistivity structural models is examined through a control variable method. …”
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RCSAN residual enhanced channel spatial attention network for stock price forecasting by WenJie Sun, Ziyang Liu, ChunHong Yuan, Xiang Zhou, YuTing Pei, Cui Wei

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Enhanced ensemble learning-based uncertainty and sensitivity analysis of ventilation rate in a novel radiative cooling building by Majid Mohsenpour, Mohsen Salimi, Atieh Kermani, Majid Amidpour

“…This research underscores the significance of optimizing key features to enhance natural cooling and ventilation, contributing to sustainable climate control solutions and providing an interpretable, robust model for predicting ventilation rates in energy-efficient buildings.…”
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Comparative Analysis of CNN-Based Semantic Segmentation for Apple Tree Canopy Size Recognition in Automated Variable-Rate Spraying by Tantan Jin, Su Min Kang, Na Rin Kim, Hye Ryeong Kim, Xiongzhe Han

“…Meanwhile, the STDC2-based model demonstrates greater optimization stability and faster convergence, making it more suitable for resource-constrained environments. …”
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Research on Measurement of Coal–Water Slurry Solid–Liquid Two-Phase Flow Based on a Coriolis Flow Meter and a Neural Network by Jie Liu, Lingfei Kong, Jiahao Ma, Xuemei Zhang, Chengjie Wang, Dongze Wu

“…The first correction results showed that the corrected error of the predictive model was 3.98%, a significant improvement compared to the 5.11% error measured by the X company’s meter. (2) Building on this, a second correction model was established through algorithm optimization, successfully reducing the corrected error of the predictive model to 1.01%. …”
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Key technology research and development and prospects for outdoor large- and medium-sized snow groomers by Jiawei SHENG, Zhehan CHEN, Yanli YANG, Chun JIN, Lifang ZHENG, Xixia LIU, Weidong LUO

“…We analyzed challenges such as adapting to different environments, reducing track weight, and ensuring quality control of the body surface. The project systematically addresses the technical challenges in snow groomer propulsion, operating system, overall optimization, manufacturing, testing evaluation, and application. …”
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Intelligent Systems for Inorganic Nanomaterial Synthesis by Chang’en Han, Xinghua Dong, Wang Zhang, Xiaoxia Huang, Linji Gong, Chunjian Su

“…Methodologies encompassing hardware architecture design, software algorithm optimization, and artificial intelligence (AI)-enabled intelligent process control are analyzed. …”
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Intelligent Dual Basal–Bolus Calculator for Multiple Daily Insulin Injections via Offline Reinforcement Learning by Junyoung Yoo, Vega Pradana Rachim, Suyeon Jung, Sung-Min Park

“…The offline phase utilized historical insulin treatment data to train the model, reducing the risks associated with real-time learning. …”
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Design of a nutrient solution supply device for a vertical aeroponic cultivation system by Yihan He, Xinghua Zhang, Ting Wang, Xinyu Tan, Shuguang Liu

“…The experimental results are analyzed using Design Expert 13.0 software to establish a regression model and conduct optimization analysis. The optimization results indicate that with a flow rate of 3 L/min for the spray nozzles and a moving speed of 0.38 m/s for the spray nozzles, the nutrient solution coverage rates on the legs of the trapezoidal cross-section of the cultivation bed reach >90% for both vertical height positions (0.1 m and 1.4 m from ground). …”
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Noise Elimination of a Multi-tone Broadband Noise with Hybrid Helmholtz Mufflers Using a Simulated Annealing Method by Min-Chie CHIU

“…Noise control is essential in an enclosed machine room where the noise level has to comply with the occupational safety and health act. …”
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A chemical autonomous robotic platform for end-to-end synthesis of nanoparticles by Fan Gao, Hongqiang Li, Zhilong Chen, Yunai Yi, Shihao Nie, Zihao Cheng, Zeming Liu, Yuanfang Guo, Shumin Liu, Qizhen Qin, Zhengjian Li, Lisong Zhang, Han Hu, Cunjin Li, Liang Yang, Yunhong Wang, Guangxu Chen

“…It achieves optimized diverse nanomaterials (Au, Ag, Cu2O, PdCu) with controlled types, morphologies, and sizes, demonstrating efficiency and repeatability. …”
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Selection of urban-flood-shelter locations based on risk assessment by Jiale Qiu, Haowen Tan, Shengnan Yuan, Chenxi Lv, Peng Wang, Shuchao Cao, Yuhu Zhang

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Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study by Ting Peng, Rujia Miao, Hao Xiong, Yanhui Lin, Duzhen Fan, Jiayi Ren, Jiangang Wang, Yuan Li, Jianwen Chen

“…The development of more convenient and efficient methods to predict and manage IR in nondiabetic populations will have prevention and control value. ObjectiveThis study aimed to develop and validate a machine learning prediction model for IR in a nondiabetic population, using low-cost diagnostic indicators and questionnaire surveys. …”
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Intra-day dispatch method via deep reinforcement learning based on pre-training and expert knowledge by Yanbo Chen, Qintao Du, Huayu Dong, Tao Huang, Jiahao Ma, Zitao Xu, Zhihao Wang

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Developing an Efficient Calibration System for Joint Offset of Industrial Robots by Bingtuan Gao, Yong Liu, Ning Xi, Yantao Shen

“…Therefore, there are several lines in space parameterized by robot joint offsets only and all these lines were constrained by the same point, that is, the center of the PSD surface. Consequently, an optimization model was formulated and the Levenberg-Marquardt (LM) algorithm was employed to identify the joint offsets. …”
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Representation Formulas and Stability Analysis for Hilfer–Hadamard Proportional Fractional Differential Equations by Safoura Rezaei Aderyani, Reza Saadati, Donal O’Regan

“…While existing Ulam stability concepts have gained interest, extending and optimizing them for control and stability analysis in science and engineering remains a new challenge. …”
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Research on the Application of Reinforcement Learning in Traffic Flow Prediction by Hu Yiquan

“…However, traditional statistical models and prediction methods based on historical data exhibit many limitations when dealing with complex, dynamic, and nonlinear traffic flow data. …”
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A Cosimulation Framework for Carrier-Based Aircraft Arrested Landing Process by Shao Haoyuan, Li Daochun, Kan Zi, Ding Menglong, Xiang Jinwu

“…The framework is validated through flight dynamics trim analysis, static load benchmarking against the LS-DYNA model, and arresting load compliance with MIL-STD-2066. …”
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Research Progress on Machine Learning Prediction of Compressive Strength of Nano-Modified Concrete by Ruyan Fan, Ankang Tian, Yikun Li, Yue Gu, Zhenhua Wei

“…It reduces trial-and-error efforts and supports mix design optimization. Currently, machine learning is more adept at handling complicated datasets than experimental and traditional statistical models. …”
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