BiRch:a bidirectional search algorithm for k-step reachability queries by Jun-feng ZHOU, Wei CHEN, Chun-ping FEI, Zi-yang CHEN

“…A new bidirectional processing algorithm,namely BiRch was proposed.When checking whether a vertex u can reach v within k steps,BiRch firstly compared the out-degree of u and the in-degree of v,and processed the one with smaller degree,such that to avoid large indexes and the inefficiency due to large degree.Two pruning strategies were proposed based on bidirectional breadth-first levels and bidirectional topological levels,such that to reduce the number of visited vertexes.Experimental results on 19 real datasets verify the efficiency of the proposed method in terms of different metrics,including indexing time,index size,query processing time,the number of visited vertexes,and scalability.…”
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A Greedy Algorithm on Constructing the Minimum Connected Dominating Set in Wireless Network by Deqian Fu, Lihua Han, Zifen Yang, Seong Tae Jhang

“…Afterwards, another algorithm P_CDS is designed for pruning redundant nodes in the obtained MCDS with the time complexity of O ( n 2 ) .…”
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Hybrid path planning algorithm for underactuated AUV based on RRT star and APF by Boyu Zhang, Yishan Su, Shanlin Sun, Wei Luo, Qing Huang

“…Abstract To address the kinematic constraints and real-time requirements of autonomous underwater vehicle (AUV), this paper proposes a novel path planning algorithm: Directional Cone and Goal-Biased Dynamic Artificial Potential Field RRT* (DCGB-DAPF-RRT*). …”
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Research on improved RRT path planning algorithm based on multi-strategy fusion by Shangjing Lei, Tengyan Li, Xiaochan Gao, Pengjun Xue, Guozhu Song

“…Finally, the preliminary planned path fits and optimises through pruning process and cubic B-spline curve. The simulation results show that in path planning with different map complexity, the simulation results show that the MSF-RRT algorithm reduces the search time, path length, and number of nodes by an average of 90.53%, 16.84%, and 88.43%, respectively, compared to the traditional RRT algorithm; by an average of 79.33%, 14.58%, and 77.71%, respectively, compared to the RRT-Star algorithm; and by an average of 49.74%, 14.89%, and 68.74%, respectively, compared to the RRT- Connect algorithm. …”
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Sp-IEclat: A Big Data Parallel Association Ｒule Mining Algorithm by LI Cheng-yan, XIN Xue, ZHAO Shuai, FENG Shi-xiang

“…We researched a big data parallel association rule mining algorithm-Sp-IEclat ( Improved Eclat algorithm on Spark Framework) . …”
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Flood Area Prediction using a Stacked Ensemble of Tree-Based Algorithms by Olusogo Julius Adetunji

“…The model contained five different tree - based models namely hoeffding tree, decision tree, functional tree, reduced error pruning (REP) tree and decision stump algorithms. …”
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YOLO-DLHS-P: A Lightweight Behavior Recognition Algorithm for Captive Pigs by Changhua Zhong, Hao Wu, Junzhuo Jiang, Chaowen Zheng, Hong Song

“…After constructing the improved YOLO-DLHS model, the improved model is then pruned using the LAMP pruning scoring algorithm to obtain a lightweight YOLO-DLHS-P model. …”
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Plagiarism types and detection methods: a systematic survey of algorithms in text analysis by Altynbek Amirzhanov, Cemil Turan, Alfira Makhmutova

“…Plagiarism in academic and creative writing continues to be a significant challenge, driven by the exponential growth of digital content. …”
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A novel Smishing defense approach based on meta-heuristic optimization algorithms by Mohammad Alshinwan, Osama A. Khashan, Zakwan Alarnaout, Salam Salameh Shreem, Ahmed Younes Shdefat, Nader Abdel Karim

“…This paper introduces an approach for detecting SMS phishing based on machine learning algorithms. The suggested system incorporates feature extraction, oversampling, and selection and classification optimization algorithms. …”
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Parallel Finite Element Algorithm for Large Elastic Deformations: Program Development and Validation by Yuhang Chen, Caibo Hu, Huai Zhang

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Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…In the training and deployment phase of the algorithm, the first-stage object detection algorithm uses pruning and quantization techniques to reduce the model size, which is suitable for running in mobile devices or embedded systems with limited resources. …”
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OR-FCOS: an enhanced fully convolutional one-stage approach for growth stage identification of Oudemansiella raphanipes by Runze Fang, Huamao Huang, Nuoyan Guo, Haichuan Wei, Shiyi Wang, Haiying Hu, Ming Liu

“…By installing cameras in cultivation facilities, our algorithm enables automated and real-time monitoring, thereby supporting large-scale factory-based production of the fungus.…”
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Design and Construction of Multimedia Smart English Teaching Platform Based on RBF Algorithm by Qianbo Li

“…Hence, the ability to read, write, and communicate in English is essential and very necessary. …”
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Multiple Gravity Assist Spacecraft Trajectories Design Based on BFS and EP_DE Algorithm by Mingcheng Zuo, Guangming Dai, Lei Peng, Maocai Wang, Jinlian Xiong

“…In this method, firstly find the possible multiple gravity assist planet sequences with pruning based BFS and use standard differential evolution algorithm to judge the possibility of all the possible trajectories. …”
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Enhanced lightweight infrared object detection algorithm for assistive navigation in visually impaired individuals by Zhimin Bai, Yang Yang, Jian Wang, Zhengyang Li, Jiajun Wang, Chunxin Liu

“…Abstract This study introduces an advanced infrared scene detection algorithm, enhancing the YOLOv8 model for aiding visually impaired individuals in navigation. …”
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Hydroponic Chinese flowering cabbage detection and localization algorithm based on improved YOLOv5s. by Zhongjian Xie, Yaya Zhang, Weilin Wu, Yao Xiao, Xinwei Chen, Weiqi Chen, ZhuXuan Wan, Chunhua Lin

“…The macro-detection algorithm is named P-YOLOv5s-GRNF. Its improvement strategies include adopting pruning techniques, the GSConv, receptive field attention convolution (RFAConv), normalization-based attention module (NAM), and the Focal-EIOU Loss module. …”
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Optimization of deep learning architecture based on multi-path convolutional neural network algorithm by Chuan Zhou, Yan Liu, Xinghan An, Xiyao Xu, Hao Wang

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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

“…This study proposes YOLO-Cucumber, an improved lightweight detection algorithm based on YOLOv11n, incorporating four key innovations: (1) Deformable Convolutional Networks (DCN) for enhanced feature extraction of irregular targets, (2) a P2 prediction layer for fine-grained detection of early-stage lesions, (3) a Target-aware Loss (TAL) function addressing class imbalance, and (4) Channel Pruning via Batch Normalization (CPBN) for model compression. …”
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An improved artificial potential field with RRT star algorithm for autonomous vehicle path planning by Tian Guan, Yi Han, Michuang Kong, Siyu Wang, Deyuan Feng, Wei Yang

“…Third, a dual-tree growth strategy is adopted with an improved tree connection mechanism to accelerate algorithm convergence. Fourth, the path is pruned according to the triangle inequality to shorten path length, while B-spline curves combined with linear interpolation are used to smooth the pruned path, improving path quality. …”
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An Enhanced Differential Evolution Based Algorithm with Simulated Annealing for Solving Multiobjective Optimization Problems by Bili Chen, Wenhua Zeng, Yangbin Lin, Qi Zhong

“…An enhanced differential evolution based algorithm, named multi-objective differential evolution with simulated annealing algorithm (MODESA), is presented for solving multiobjective optimization problems (MOPs). …”
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