B/A of different edge detection algorithms. by Qiong Long (582277)

“…<div><p>As one of the most important ways for humans to perceive the world, images contain a wealth of visual information. Digital image processing is a technology that uses computer methods to process and enhance photographs in order to extract meaningful information and improve image quality. …”

Performance of different algorithms. by Shiwei Yu (6060308)

Comparison of different algorithms. by Dawei Wang (471687)

Comparison of different algorithms. by Zhijian Qu (6920060)

Performance of different algorithms. by Shiwei Yu (6060308)

Comparison of different algorithms. by Jiandong Qiu (20389944)

“…<p>(a) Different algorithms for shunting hooks in Case 1. …”

Obtained controller parameters via different algorithms. by Sarah A. Alzakari (19704611)

Trainable parameters for different algorithms. by Anwar Hossain Efat (19942283)

Convergence Curves of Different Algorithms. by Wenqin Wang (129400)

Solution results of different algorithms. by Meilin Zhu (688698)

“…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …”

Parameters corresponding to different algorithms. by Renjie Li (1863280)

Completion times for different algorithms. by Jianbin Zheng (587000)

“…In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …”

Efficiency of different consensus algorithms. by Jian Yun (19703997)

Performance comparison of different algorithms. by Zhenggang Wang (1753657)

Performance of models by different algorithms. by Yong Zhang (5893)

Comparison of different LSTM algorithms. by Gengchen Xu (20477357)

Box plots of different algorithms. by Kuiyuan Pan (21145338)

“…Initially, a mathematical model considering flexibility benefit, new energy consumption benefit, economic benefit, and environmental benefit is established to maximize the comprehensive benefits brought by P2H equipment to the integrated energy system, and the model is solved using an improved backbone particle swarm optimization (IBBPSO) algorithm; subsequently, a multi-dimensional value evaluation system based on the analytic hierarchy process (AHP) -entropy weight method is constructed, and the value of P2H equipment with different capacity configurations in the integrated energy system is compared and analyzed when the comprehensive benefit is optimal. …”

WSN optimized by different algorithms. by Qingwen Meng (156386)

“…Firstly, a differential collaborative search mechanism is introduced in the exploration phase to reduce the risk of the algorithm falling into local optima. …”

Iteration curves of different algorithms. by Tengfei Ma (597633)

“…<div><p>To address the limitations of the Zebra Optimization Algorithm (ZOA), including insufficient late-stage optimization search capability, susceptibility to local optima, slow convergence, and inadequate exploration, this paper proposes an enhanced Zebra Optimization Algorithm integrating opposition-based learning and a dynamic elite-pooling strategy (OP-ZOA: Opposition-Based Learning Dynamic Elite-Pooling Zebra Optimization Algorithm). he proposed search algorithm employs a good point set-elite opposition-based learning mechanism to initialize the population, enhancing diversity and facilitating escape from local optima. …”

Comparison of different solution algorithms. by Jinqu Chen (20258031)