Optimisation of Electric Vehicle Charging Stations Planning Based on Macro and Micro Perspectives by Qiuxuan WANG, Kunxiang DENG, Jiangnan YAN, Jun LI

“…CMSLM is solved using sparrow search algorithm from both macro and micro perspectives. The proposed approach is applied to Guangzhou, China, as a case study. …”
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Optimizing Key Parameters of Ground Delay Program with Uncertain Airport Capacity by Jixin Liu, Kaijian Li, Minjia Yin, Xuehua Zhu, Ke Han

“…The proposed GDP strategy has the potential to effectively reduce the overall delay while maintaining the ATC safety risk within an acceptable level.…”
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Bayesian Computation Methods for Inference in Stochastic Kinetic Models by Eugenia Koblents, Inés P. Mariño, Joaquín Míguez

“…Specifically, the particle MCMC (pMCMC) method has been shown to be effective, while computationally demanding method applicable to this problem. …”
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Game-based resource allocation in heterogeneous downlink CR-NOMA network without subchannel sharing by Deepa Das, Rajendra Kumar Khadanga, Deepak Kumar Rout, Md. Minarul Islam, Taha Selim Ustun

“…To achieve this, we set out to solve a complex problem involving maximizing throughput while staying within transmission power limits, meeting minimum data rate requirements, and controlling interference power. …”
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Seismic Optimization of Fluid Viscous Dampers in Cable-Stayed Bridges: A Case Study Using Surrogate Models and NSGA-II by Qunfeng Liu, Zhen Liu, Jun Zhao, Yuhang Lei, Shimin Zhu, Xing Wu

“…Results demonstrate that the ANN-based approach effectively addresses multi-objective optimization challenges while providing a robust framework for improved seismic performance in cable-stayed bridges. …”
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A Comparative Study of Image Processing Techniques for Javanese Ancient Manuscripts Enhancement by Imam Yuadi, Novanto Yudistira, Habiddin Habiddin, Khoirun Nisa'

“…This study evaluates how each filter enhances visual clarity while maintaining structural integrity using evaluation metrics such as the Structural Similarity Index Measure (SSIM) and Normalized Cross-Correlation (NCC). …”
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Deep learning method for cucumber disease detection in complex environments for new agricultural productivity by Jun Liu, Xuewei Wang, Qian Chen, Peng Yan, Xin Liu

“…Experiments on our cucumber disease dataset demonstrate that YOLO-Cucumber achieves a 6.5% improvement in mAP@50 (93.8%), while reducing model size by 3.87 MB and increasing inference speed to 218 FPS. …”
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Discrete‐time full‐order sensorless control of high‐speed interior permanent magnet synchronous motor in electric vehicle traction system by Dongcui Wang, Yuan Zhu, Sibei Wu, Lu Liu

“…Abstract A discrete‐time full‐order sensorless control strategy for high‐speed interior permanent magnet synchronous motor (IPMSM) used in electric vehicle (EV) traction system is designed in this paper. While most speed and position observer (SPO) methods are developed in the continuous‐time domain, the presence of a unit‐time‐delay block existed in feedback loop and discretisation of the algorithm can lead to performance degradation during digital implementation. …”
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FedQP: Large-Scale Private and Flexible Federated Query Processing by Hussain M. J. Almohri, Layne T. Watson

“…The key challenge is in designing algorithms that efficiently aggregate client input, minimize data exposure, and maximize model adaptability. …”
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Deep Reinforcement Learning-Based Anti-Jamming Approach for Fast Frequency Hopping Systems by Sixi Cheng, Xiang Ling, Lidong Zhu

“…Building on this, we propose an improved multi-action deep recurrent Q-network (MA-DRQN) algorithm to determine the AFS for hopping sequence generation. …”
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Evolutionary Game-Based Secrecy Rate Adaptation in Wireless Sensor Networks by Guanxiong Jiang, Shigen Shen, Keli Hu, Longjun Huang, Hongjie Li, Risheng Han

“…Physical layer security, whose aim is to maximize the secrecy rate of a source while keeping eavesdroppers ignorant of data transmitted, is extremely suitable for Wireless Sensor Networks (WSNs). …”
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Robust Low-Overlap Point Cloud Registration via Displacement-Corrected Geometric Consistency for Enhanced 3D Sensing by Xin Wang, Qingguang Li

“…Experimental results demonstrate that our method outperformed existing approaches in the aspects of registration recall, rotation error, and algorithm robustness under low-overlap conditions. …”
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Dummy eye measurements of microsaccades: Testing the influence of system noise and head movements on microsaccade detection in a popular video-based eye tracker by Frouke Hermens

“…Whereas early studies of microsaccades have predominantly relied on custom-built eye trackers and manual tagging of microsaccades, more recent work tends to use video-based eye tracking and automated algorithms for microsaccade detection. While data from these newer studies suggest that microsaccades can be reliably detected with video-based systems, this has not been systematically evaluated. …”
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Research on Improved YOLOv7 for Traffic Obstacle Detection by Yifan Yang, Song Cui, Xuan Xiang, Yuxing Bai, Liguo Zang, Hongshan Ding

“…Object detection and recognition algorithms are widely used in applications such as real-time monitoring and autonomous driving. …”
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An Audio Steganography to Protect data in Text, Images and Audio with Hybrid Encryption Techniques by Thuraka Srinivasa Padmaja, Srinivasa Padmaja thuraka

“…The inquiry looks into White Space and Least Significant Bit (LSB) approaches for text steganography, while Quantization Index Modulation (QIM) is combined with LSB for image steganography. …”
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Permeability Predictions for Tight Sandstone Reservoir Using Explainable Machine Learning and Particle Swarm Optimization by Jing-Jing Liu, Jian-Chao Liu

“…The particle swarm optimization algorithm is then used to optimize the hyperparameters of the XGBoost model. …”
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A POMDP Approach to Map Victims in Disaster Scenarios by Pedro Gabriel Villani, Paulo Sergio Cugnasca

“…Using a partially observable Markov decision process, it simulates victim detection through an image classification algorithm, enabling efficient and independent operation. …”
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AI-enhanced fire detection and suppression system for autonomous ships by Hyuk Lee, Jung Hoon Chung, Hyun Chung, Jong-Hwan Kim, Yongho Yoo, Gil Hyuk Lim, Won-Sun Ruy

“…In this paper, we introduce an innovative AFDSS that integrates RGB, infrared (IR), and ultraviolet (UV) sensors to reduce false alarms and employ a reinforcement learning algorithm to optimize water spray under sea conditions. …”
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Healthcare professionals and the public sentiment analysis of ChatGPT in clinical practice by Lizhen Lu, Yueli Zhu, Jiekai Yang, Yuting Yang, Junwei Ye, Shanshan Ai, Qi Zhou

“…This study was divided into five steps: data collection, data cleaning, validation of relevance, sentiment analysis, and content analysis using the K-means algorithm. This study comprised 3130 comments amounting to 1,593,650 words. …”
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Clusters from chronic conditions in the Danish adult population. by Anders Stockmarr, Anne Frølich

“…Yet the structure of chronic conditions in individuals with multimorbidity, viewed as a population, is largely unmapped. We use algorithmic diagnoses and the K-means algorithm to cluster the entire 2015 Danish multimorbidity population into 5 clusters. …”
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