Detection of water surface targets based on improved Deformable DETR by Pengjiu WANG, Junbin Gong, Wei LUO, Xiao HUANG, Junjie GUO

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Finite-Time Consensus Pinning Control Method for Multiple Inverters–Paralleled Photovoltaic Microgrid by Xiping Ma, Chen Liang, Xiaoyang Dong, Yaxin Li

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A new method for surface water extraction using multi-temporal Landsat 8 images based on maximum entropy model by Wangping Li, Wanchang Zhang, Zhihong Li, Yu Wang, Hao Chen, Huiran Gao, Zhaoye Zhou, Junming Hao, Chuanhua Li, Xiaodong Wu

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Naked-eye 3D visualization of cultural relics based on integrated imaging by Lu Wang, Yu Wang, Quanyang Liu, Qi Wang

“…Experimental results show that the algorithm not only enables naked-eye 3D visualization of cultural relics, but also the generation speed is more than twice that of the compared 3D display data source generation algorithm.…”
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Study on Trajectory Optimization for a Flexible Parallel Robot in Tomato Packaging by Tianci Guo, Jiangbo Li, Yizhi Zhang, Letian Cai, Qicheng Li

“…Compared to traditional PSO, the proposed algorithm exhibits better global convergence and is less likely to fall into local optima, thereby ensuring a smoother and more efficient path in the robot-grabbing tomato process and providing technical support for automated tomato packaging.…”
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Effective Analytical Computational Technique for Conformable Time-Fractional Nonlinear Gardner Equation and Cahn-Hilliard Equations of Fourth and Sixth Order Emerging in Dispersive... by Mohammed Al-Smadi, Shrideh Al-Omari, Yeliz Karaca, Shaher Momani

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Nature inspired optimization of IoT network for delay resistant and energy efficient applications by Gagandeep Kaur, Vipin Balyan, Sindhu Hak Gupta

“…The simulation results unveil that the proposed method outperforms the PSO algorithm by reducing the latency and power consumption by 26% and 12% respectively and extending the network lifetime by 14% as compared to the DC constraint approach.…”
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Hybrid particle swarm optimization and semi-supervised extreme learning machine for cellular network localization by Fagui Liu, Hengrui Qin, Xin Yang, Yi Yu

“…The experiments demonstrate that applying particle swarm optimization in our optimization framework makes the hyper parameters of semi-supervised extreme learning machine algorithm self-adaptive in different conditions. Moreover, the proposed method is more stable than the general semi-supervised extreme learning machine and outperforms other compared methods.…”
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Improving Freight Traffic Efficiency at Urban Intersections Using Heavy Vehicle Platooning by Mohammad D. Alahmadi, Ahmed S. Alzahrani

“…This study develops a platoon-based signal-optimization algorithm to reduce delays, minimize stops, and enhance traffic flow at intersections. …”
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Image Target Detection and Recognition Method Using Deep Learning by Hongyan Sun

“…The target detection and recognition algorithm proposed in this paper had certain reference value and guiding significance for further application research in related fields.…”
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KFCM-PSOTD : An Imputation Technique for Missing Values in Incomplete Data Classification by Muhaimin Ilyas, Syaiful Anam, Trisilowati Trisilowati

“…PSOTD is adopted because it has more balanced exploration and exploitation capabilities compared to classical PSO. Datasets that have been imputed on KFCM-PSOTD are classified using the Decision Tree algorithm. …”
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Certificateless Batch Authentication Scheme and Intrusion Detection Model Based on the Mobile Edge Computing Technology NDN-IoT Environment by Jianzhao Sun

“…Compared with the linear search algorithm, the algorithm proposed in this paper can significantly reduce the computation time.…”
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Detection and Classification of Emotional State Based on Speech Signal by Hiba Younis, Mrewan Mustafa, Rahma Raad

“…In this research, an algorithm was proposed to automatically classify the mood of the speaker by referring to his speech. …”
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Differentiation of Organic Cocoa Beans and Conventional Ones by Using Handheld NIR Spectroscopy and Multivariate Classification Techniques by Elliot K. Anyidoho, Ernest Teye, Robert Agbemafle

“…Second derivative algorithm was found to be the best preprocessing tool. …”
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Automatic optimization of regions of interest in hyperspectral images for detecting vegetative indices in soybeans by Sangyeab Lee, Amit Ghimire, Amit Ghimire, Yoonha Kim, Yoonha Kim, Yoonha Kim, Jeong-Dong Lee, Jeong-Dong Lee, Jeong-Dong Lee

“…We also developed a Python algorithm for ROI selection and automatic VIs calculation. …”
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A Two-Stage Range-Free Localization Method for Wireless Sensor Networks by Wen Yingyou, Li Zhi, Meng Yinghui, Zhao Dazhe

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UAV-Based Pseudolite Navigation System Architecture Design and the Flight Path Optimization by Ruocheng Guo, Hong Yuan, Yang Zhang, Xiao Chen, Guanbing Zhang

“…The ARMNSGA-III proposed in this paper can provide a 44.01% algorithm timeliness improvement compared to the NSGA-III in the flight path optimization, supporting rapid establishment and continuous service of the UAV-PNS in emergency scenarios.…”
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PROVINCIAL CLUSTERING BASED ON EDUCATION INDICATORS: K-MEDOIDS APPLICATION AND K-MEDOIDS OUTLIER HANDLING by Octavia Rahmawati, Achmad Fauzan

“…In addition to natural K-Medoids, the researcher also wants to compare methods by implementing K-Medoids with outlier handling in the form of imputed mean values and K-Medoids with imputed min-max values. …”
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Preliminary Development of a Database for Detecting Active Mounting Behaviors Using Signals Acquired from IoT Collars in Free-Grazing Cattle by Miguel Guarda-Vera, Carlos Muñoz-Poblete

“…The algorithm achieves an average F1 Score of 88.6% for the World Frame of reference, showing a significant improvement compared to the algorithm trained with Body Frame (78.6%) when both are trained with the same 112 features. …”
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Energy-efficient strategy for data migration and merging in Storm by Yonglin PU, Jiong YU, Liang LU, Ziyang LI, Chen BIAN, Bin LIAO

“…Storm is suffering the problems of high energy consumption but low efficiency.Aiming at this problem,the resource constraint model,the optimal principle of data reorganization in executors and node voltage reduction principle were proposed based on the analysis of the architecture and topology of Storm,and further the energy-efficient strategy for data migration and merging was put forward in Storm(DMM-Storm),which was composed of resource constraint algorithm,data migration and merging algorithm as well as node voltage reduction algorithm.The resource constraint algorithm estimates whether work nodes are appropriate for data migration according to the resource constraint model.The data migration and merging algorithm designs an optimal method to migrate data according to the the optimal principle of data reorganization in executors.The node voltage reduction algorithm reduces voltage of work nodes according to node voltage reduction principle.The experimental results show that the DMM-Storm can reduce energy consumption efficiently without affecting the performance of cluster compared with the existing researches.…”
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