Energy Management in Microgrids Using Model-Free Deep Reinforcement Learning Approach by Odia A. Talab, Isa Avci

“…To optimize decision-making, an actor-critic-based Deep Deterministic Policy Gradient (DDPG) algorithm is developed, leveraging reinforcement learning (RL) to adapt dynamically to changing system conditions. …”
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Finding a New Balance Point: Intelligent Optimization of Multi-Target Cognitive Electronic Reconnaissance Strategy for Unmanned Aerial Vehicles by Yun Zhang, Shixun You, Yunbin Yan, Qiaofeng Ou, Xiang Zhu

“…The use of the pseudo-target reduces the dimensionality of the UAV’s observation state, thereby accelerating algorithm convergence. In addition, to solve the problem of the difficulty in determining the reconnaissance importance weights of multiple radars, a state-reward shaping equation combining the pseudo-target and real targets is designed. …”
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Optimization study of low-NOx combustion in boiler based on pulverized coal preheating solution by Lingfang Sun, Mengchao Xu, Yu Jia, Bingxue Zong, Guoliang Feng

“…Finally, considering the actual situation of coal-fired power plants, we used the beetle swarm optimization (BSO) algorithm on the basis of the three optimization objectives, and took the pyrolysis temperature and powder feeding frequency as the main input parameters of combustion optimization to optimize the combustion model. …”
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Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays by Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones

“…Here, we present an FDA-cleared, artificial intelligence (AI) system which uses a deep learning algorithm to assist physicians in the comprehensive detection and localization of abnormalities on chest X-rays. …”
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A Driver Behavior Detection Model for Human-Machine Co-Driving Systems Based on an Improved Swin Transformer by Junhua Cui, Yunxing Chen, Zhao Wu, Huawei Wu, Wanghao Wu

“…The results show that the proposed model algorithm has a better performance in 10 classifications of driver behavior detection, with an accuracy of 99.42%, which is improved by 3.8% and 1.68% compared to Vgg16 and MobileNetV2, respectively. …”
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SVDD: SAR Vehicle Dataset Construction and Detection by Dan Gao, Xiaofang Wu, Zhijin Wen, Yue Xu, Zhengchao Chen

“…With the advent of high-quality SAR images and the rapid development of computing technology, the object detection algorithms based on convolution neural network have attracted a lot of attention in the field of SAR object detection. …”
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Tracking the Dynamics of Salt Marsh Including Mixed-Vegetation Zones Employing Sentinel-1 and Sentinel-2 Time-Series Images by Yujun Yi, Kebing Chen, Jiaxin Xu, Qiyong Luo

“…Leveraging the high spatiotemporal resolution of the Sentinel series data, this study developed a method for high-accuracy mapping based on monthly changes across the vegetation life cycle, utilizing the random forest algorithm. This method was applied to identify <i>Phragmites australis</i>, <i>Suaeda salsa</i>, <i>Spartina alterniflora</i>, and the mixed-vegetation zones of <i>Tamarix chinensis</i> in the Yellow River Delta, and to analyze the key features of the model. …”
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Assessment of soil classification based on cone penetration test data for Kaifeng area using optimized support vector machine by Hanliang Bian, Zhongxun Sun, Jiahan Bian, Zhaowei Qu, Jianwei Zhang, Xiangchun Xu

“…The results revealed that 23 of the algorithms successfully improved the SVM classification accuracy. …”
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A Recognition Methodology for the Key Geometric Errors of a Multi-Axis Machine Tool Based on Accuracy Retentivity Analysis by Shijie Guo, Shufeng Tang, Dongsheng Zhang

“…Then, the fruit fly optimization algorithm (FOA) is adopted to determine the compensation values through multiobjective tradeoffs between accuracy retentivity and fluctuation in the geometric errors. …”
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Analysis and Simulation of the Early Warning Model for Human Resource Management Risk Based on the BP Neural Network by Xue Yan, Xiangwu Deng, Shouheng Sun

“…The back propagation (BP) neural network is an information analysis and processing system formed by using the error back propagation algorithm to simulate the neural function and structure of the human brain, which can handle complex and changeable things that do not have an obvious linear relationship between output results and input factors, so as to find the objective connection between the two. …”
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Efficient and safe software defined network topology discovery protocol by Dong LI, Junqing YU, Yongpu GU, Pengcheng ZHAO

“…The network topology discovery in OpenFlow-based software-defined networks is mainly achieved by utilizing the OpenFlow discovery protocol (OFDP).However, it has been observed in existing research that OFDP exhibits low updating efficiency and is susceptible to network topology pollution attacks.To address the efficiency and safety concerns of the network topology discovery protocol, an in-depth investigation was conducted on the mechanism and safety of OFDP network topology discovery.The characteristics of network topology establishment and updating in OFDP were analyzed, and an improved protocol named Im-OFDP (improved OpenFlow discovery protocol) based on the minimum vertex covering problem in graph theory was proposed.In Im-OFDP, the switch port table and network link table were initially established using prior information obtained from OFDP network topology discovery.Subsequently, a graph model of the network topology was constructed, and the minimum vertex covering algorithm in graph theory was employed to select specific switches for the reception and forwarding of topology discovery link layer discovery protocol (LLDP) packets.Multi-level flow tables were designed based on the network topology structure, and these flow entries were installed on the selected switches by the controller to process LLDP packets.To address security issues, dynamic check code verification in LLDP packets was employed to ensure the safety of network links.Additionally, a network equipment information maintenance mechanism was established based on known network topologies to ensure the safety of the network equipment.Experimental results demonstrate a significant reduction in the number of network topology discovery messages, bandwidth overhead, and CPU overhead through the deployment of Im-OFDP.Moreover, the response time for node failures and link recovery time after mode failure is substantially reduced.Im-OFDP also effectively mitigates various network topology pollution attacks, such as link fabrication and switch forgery attacks.Overall, Im-OFDP has the capability to enhance the efficiency and safety of SDN topology discovery.…”
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Enhancing hydropower generation Predictions: A comprehensive study of XGBoost and Support Vector Regression models with advanced optimization techniques by Zhenya Qi, Yudong Feng, Shoufeng Wang, Chao Li

“…This study utilized Support Vector Regression (SVR) and eXtreme Gradient Boosting (XGBoost) algorithms, both individually and in hybrid models enhanced by optimization techniques like Slime Mould Algorithm (SMA), Aquila Optimizer (AO), and Grey Wolf Optimization (GWO). …”
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Large-Scale Survey of Unselected Automated Visual Fields in a Major Reading Center: Patterns and Data Analysis by Lilly Zborowski-Naveh, Rita Ehrlich, Moshe Luski, Dov Weinberger, Mona Boaz, Dan D. Gaton

“…The Swedish Interactive Testing Algorithm (SITA) was applied in 1.0% of cases. More than half (56.8%) of the population had a reliability score of 1, and 22.7% had a score of 2, indicating a valid result for 79.4% of patients, providing clinically useful information. …”
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Evaluation of Failure Probability in Series System of Three-Axle Trucks under Strong Crosswind by Yahui Hu, Yingshi Guo, Rui Fu, Qingjin Xu

“…An advanced Monte Carlo simulation algorithm based on importance sampling is used to determine the probability of a three-axle truck with FPSS under strong crosswinds; the given acceptable probability of failure (accident) is used to obtain the critical safety speed. …”
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A VHDL Code for Offset Pulse Position Modulation Working with Reed Solomon System by Using ModelSim by Ahmed H. Albatoosh, Mohamed Ibrahim Shuja'a, Basman M. Al-Nedawe

“…The simulation was carried out in very high-speed integrated circuit hardware description language (VHDL), and a field-programmable gate array was used (FPGA) It made use of a Boolean function to function to program code for an algorithm that is working. Because of its performance, time to market, cost, reliability, and long-term maintenance benefits, FPGA is an appropriate platform for implementing error correction code (ECC). …”
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Designing Load-Bearing Bio-Inspired Materials for Simultaneous Static Properties and Dynamic Damping: Multi-Objective Optimization for Micro-Structure by Bo Dong, Yunfei Jia, Wei Wang

“…Using the NSGA-II optimization algorithm, a set of optimal solutions were solved. …”
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Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks by Thomas Nowotny, James P Turner, James C Knight

“…Here, we investigate how the recently discovered Eventprop algorithm for gradient descent on exact gradients in spiking neural networks (SNNs) can be scaled up to challenging keyword recognition benchmarks. …”
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A Correlation Analysis-Based Structural Load Estimation Method for RC Beams Using Machine Vision and Numerical Simulation by Chun Zhang, Yinjie Zhao, Guangyu Wu, Han Wu, Hongli Ding, Jian Yu, Ruoqing Wan

“…The validation results of RC beams under four-point bending loads show that the proposed algorithm can quickly estimate load levels based on numerical simulation results, and the mean absolute percentage error (MAPE) for load estimation based solely on a single measured structural crack image is 20.68%.…”
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Integration of a Heterogeneous Battery Energy Storage System into the Puducherry Smart Grid with Time-Varying Loads by M A Sasi Bhushan, M. Sudhakaran, Sattianadan Dasarathan, Mariappane E

“…Adopting an MPC-based algorithm design framework enables the development of an effective control strategy for complex systems. …”
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Parallelizing Quantum Simulation With Decision Diagrams by Shaowen Li, Yusuke Kimura, Hiroyuki Sato, Masahiro Fujita

“…Based on the experiment results, our proposed strategy achieves a 2&#x2013;3 times faster simulation of Grover&#x0027;s algorithm and random circuits than the state-of-the-art single-thread DD-based simulator DDSIM.…”
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