Dynamic adaptive discrete particle swarm optimization algorithm based method on low-power mapping in network-on-chip by Qin-rang LIU, Qi-hua DAI, Jian-liang SHEN, Bo ZHAO

“…On the basis of the traditional particle swarm optimization algo-rithm (PSOA), a dynamic adaptive discrete particle swarm optimization algorithm (DADPSOA) was proposed . Parame-ter in this algorithm was adjusted dynamically based on the degree of early convergence and the charge of individual adap-tive value to approach the optimal solution. …”
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Research on Infrared Small Target Detection Algorithm Based on Foreground Moving Target and Deep Learning for Space Detection by Dan Shan, Xiaofeng Wang, Duk Kyung Kim, Ziyuan Yang, Shaohua Lang, Dadi Cai, Weidong Wang, Xiang Gao

“…It holds substantial application value for the integrated air and space monitoring and detection of small targets in space.…”
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Low-cost fabrication and comparative evaluation of machine learning algorithms for flexible PDMS-based hexagonal patch antenna by Srivatsan Sarvesan, Mettu Goutham Reddy, S. S. Karthikeyan, Praveen K. Sekhar

“…To accelerate the design process and determine the most effective model for predicting optimal geometrical parameters that yield improved impedance matching at the target frequency, four supervised machine learning algorithms including Random Forest, XGBoost, CatBoost and LightGBM were evaluated and compared. …”
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Model-Driven Clock Synchronization Algorithms for Random Loss of GNSS Time Signals in V2X Communications by Wei Hu, Jiajie Zhang, Ximing Cheng

“…An experimental testbed was then built to measure both terminal clocks and PPS signals. The proposed algorithm was integrated into the V2X terminals. Results show that the full-value PPS signals follow an exponential distribution. …”
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A Hybrid Machine Learning Framework for Early Fault Detection in Power Transformers Using PSO and DMO Algorithms by Mohammed Alenezi, Fatih Anayi, Michael Packianather, Mokhtar Shouran

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EsoDetect: computational validation and algorithm development of a novel diagnostic and prognostic tool for dysplasia in Barrett’s esophagus by Migla Miskinyte, Benilde Pondeca, José B. Pereira-Leal, Joana Cardoso

“…This study endeavors to identify BE biomarkers capable of diagnosing low-grade dysplasia (LGD) in BE, as well as biomarkers that can predict the progression from BE to EAC to be subsequently integrated into diagnostic and prognostic algorithms. …”
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Optimized stress-strain modeling of eco-friendly fiber-reinforced concrete members using meta-heuristic algorithms by Sawsan Akram Hassan, Mahir M. Hason, Ammar N. Hanoon, Ali A. Abdulhameed

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A multi-objective mathematical model for the multi-warehouse order picking system using Benders decomposition algorithm by Fatemeh Nikkhoo, Ali Hosseinzadeh Kashan, Bakhtiar Ostadi, Ehsan Nikbakhsh

“…The calculation results obtained from the implementation of the solution methods for the proposed model showed that in terms of the number of iterations and the calculation time, the accelerated Benders algorithm had better results than the classic Benders algorithm.Originality/Value: In this research, the order-picking problem with the integrity of operational decisions has been formulated as a multi-objective mathematical model for a multi-warehouse environment for the first time. …”
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Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction by Xinyue Lv, Youli Li, Lili Zhangzhong, Chaoyang Tong, Yibo Wei, Guangwei Li, Yingru Yang

“…We employed the ExG (Excess Green) algorithm and the maximum inter-class variance method to develop an algorithm for extracting canopy coverage from image segmentation. …”
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Curvature Scale Space Corner Detection-Based Registration Algorithm for Infrared and Visible Light Images of Power Equipment by HongYan Han, ZhengGuang Wang, Peng Ding, Nan Liu, ZhenYao Li, ZhanQiang Ru, WenQing Zhu, HeLun Song

“…To address the challenges of incomplete feature representation and insufficient localization accuracy in multimodal fault diagnosis of electrical equipment, this paper proposes a dual-modal feature co-registration algorithm termed Contour Angle Orientation-Speeded Up Robust Features (CAO-SURF). …”
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Research on fast warning algorithm of SF6 circuit breaker gas leakage under high voltage decomposition by ZHANG Jianglu, WU Chao, YUE Yonggang, ZHAI Chunyu, WU Jianling, FANG Guobao

“…Experimental results show that the proposed method has high throughput rate, target contour integrity, and intersection-over-union in the detection of potential areas of SF6 circuit breaker gas leakage, and a high AUC value in early warning.…”
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Multi-objective optimization of a novel control algorithm and scheduling procedure for optimal use of energy storage systems by Amirhossein Hamzeiyan, Armin Ebrahimi

“…This modification requires minimal changes to the existing algorithm. Future research could concentrate on integrating direct regulation of the charging and discharging rates of the ESS by establishing upper and lower bounds for these rates as decision variables within the optimization framework. …”
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Energy Saving in Building Air-Conditioning Systems Based on Hippopotamus Optimization Algorithm for Optimizing Cooling Water Temperature by Yiyang Zheng, Yaping Gao, Jianwen Gao

“…The performance of HOA is better compared to other algorithms in the optimization process. The optimized fitness value is minimal, and the function converges after five iterations and completes the optimization in a single time step when run in MATLAB in only 1.96 s. …”
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Research for the Positioning Optimization for Portable Field Terrain Mapping Equipment Based on the Adaptive Unscented Kalman Filter Algorithm by Jiaxing Xie, Zhenbang Yu, Gaotian Liang, Xianbing Fu, Peng Gao, Huili Yin, Daozong Sun, Weixing Wang, Yueju Xue, Jiyuan Shen, Jun Li

“…This is linked with the UKF algorithm to establish loss value feedback, realizing the adaptive parameter adjustment of the UKF algorithm. …”
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An efficient approach for mathematical modeling and parameter estimation of PEM fuel based on Young’s double-slit experiment algorithm by Basma S. Alqadi, Deema Mohammed Alsekait, Mohamed F. Issa, Essam H. Houssein, Fatma H. Ismail, Mokhtar Said, Nour Mostafa, Fahmi Elsayed

“…Comparative analysis demonstrates that the YDSE algorithm outperforms competing methods by achieving the lowest Sum of Square Error (SSE) with a minimum value of approximately 1.9454, compared to higher values in other algorithms. …”
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Enhanced Community Detection via Convolutional Neural Network: A Modified Approach Based on MRFasGCN Algorithm by Puneet Kumar, Dalwinder Singh, Mamoona Humayun, Ali Alqazzaz, Arun Malik, Ibrahim Alrashdi, Isha Batra, Ghadah Naif Alwakid

“…In this algorithm, researchers have integrated the technique of Graph Convolutional Neural Network (GCN) with the statistical model Markov Random Field (MRF) to get better results and after implementing it on large datasets comparison is done on its results with other state-of-the-art algorithms and got to know its performance is far better than any other algorithm. …”
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Short-Term Scheduling of Pump Station-integrated Cascade Hybrid Pumped Storage Systems by QIAN Jun, TAN Qiaofeng, WEN Xin, ZHENG Mingfen, SHEN Yanqing

“…The traditional step-by-step optimization algorithm was improved to solve this model. Finally, a case study was conducted on the multi-stage hybrid pumped storage power station in the upper reaches of the Yellow River. …”
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RL-BES: optimizing strategies using reinforcement learning for blockchain economic security by Erdeng Wen, Zhuotao Deng, Yifan Mo, Yuren Zhou, Xiaohong Shi

“…These include poor adaptability of algorithms, the vastness of the search space, and the inefficiency of methods that rely on traditional heuristic approaches. …”
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A Deformation Reconstruction Strategy for Integrated Truss Structures Subjected to Thermal–Mechanical Load by Zexing Yu, Xiaofei Ma, Jialong Zhu, Dayu Zhang, Yonggang Xue, Pengfei Huang, Yichen Li, Hao Li

“…The proposed approach utilizes Ko displacement theory as the core algorithm, while the least squares optimization method is employed to determine the integration with unknown initial values during the reconstruction process. …”
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Integrated Time Series Analysis, Clustering, and Forecasting for Energy Efficiency Optimization and Tariff Management by Anderson Jhones Passos Nascimento, Menaouar Berrehil El Kattel, Jose Antonio Fernandes de Macedo, Fernando Luiz Marcelo Antunes

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