Construction and Analysis of Macroeconomic Forecasting Model Based on Biclustering Algorithm by Chao Pang

“…How to obtain a more accurate division from the vast economic statistics of the Statistical Yearbook has become a difficult problem, especially when there is no prior information. Based on China’s macroeconomic statistics, this paper applies the biclustering method to the field of economic zoning for the first time, researches and predicts the economic region division plan of China’s provinces and the economic growth model of each province, and combines the results with traditional levels. …”
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Predicting Voluntary Auditor Change Using the Water Cycle Algorithm by Erfan Safdel, Hoda Eskandar, Hassan Yazdifar

“…In this regard, the purpose of this research is to predict voluntary auditor change (non-continuation of the relationship with the current client) using a meta-heuristic algorithm (Water Cycle Algorithm, WCA) and to compare the results with the logistic regression method.MethodsThe statistical sample is 185 companies listed on the Tehran Stock Exchange, selected by the systematic elimination method from 2017 to 2023, and their information was collected. …”
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Three-Dimensional UAV Path Planning Based on Multi-Strategy Integrated Artificial Protozoa Optimizer by Qingbin Sun, Xitai Na, Zhihui Feng, Shiji Hai, Jinshuo Shi

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2D Lidar-Based SLAM and Path Planning for Indoor Rescue Using Mobile Robots by Xuexi Zhang, Jiajun Lai, Dongliang Xu, Huaijun Li, Minyue Fu

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A Mobile Robot Path Planning Method Based on Dynamic Multipopulation Particle Swarm Optimization by Yunjie Zhang, Ning Li, Yadong Chen, Zhenjian Yang, Yue Liu

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V2X assisted co‐design of motion planning and control for connected automated vehicle by Jiahang Li, Cailian Chen, Bo Yang

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Enhanced Q learning and deep reinforcement learning for unmanned combat intelligence planning in adversarial environments by Xu Jianhong, Liang Gongqian

“…Abstract This study proposes a multimodal deep reinforcement learning (MDRL) architecture, Multimodal Deep Reinforcement Learning-Deep Q-Network (MDRL-DQN), based on an improved Q-Learning algorithm. It aims to optimize Unmanned Aerial Vehicle (UAV) scheduling and execution capabilities in intelligent unmanned combat planning. …”
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Bidirectional Q-learning for recycling path planning of used appliances under strong and weak constraints by Yang Qi, Jinxin Cao, Baijing Wu

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Efficient multi-UAV path planning in dynamic and complex environments using hybrid polar lights optimization by Ziyin Xu, Zhilin Wang, Rui Liu, Chenliang Huang, Yuxiang Shi, Mingjing Wang, Huiling Chen

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Digital twin empowered cooperative trajectory planning of platoon vehicles for collision avoidance with unexpected obstacles by Hao Du, Supeng Leng, Jianhua He, Kai Xiong, Longyu Zhou

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A survey on autonomous navigation for mobile robots: From traditional techniques to deep learning and large language models by Abderrahim Waga, Said Benhlima, Ali Bekri, Jawad Abdouni, Fatima Zahrae Saber

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Unveiling the Efficacy of AI-based Algorithms in Phishing Attack Detection by Tajamul Shahzad, Kashif Aman

“…Among all the algorithms Convolutional Neural Network, Multi-layer perceptron and AdaBoost achieved more than 90% accuracy, precision and sensitivity and it was showed through results that these algorithms are very efficient and can achieve high accuracy if used to the requirements of specific scenario with proper planning. …”
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Finding Random Integer Ideal Flow Network Signature Algorithms by Kardi Teknomo, Erna Budhiarti Nababan, Indriati Njoto Bisono, Resmana Lim

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Passenger Demand-Oriented High-Speed Train Stop Planning with Service-Node Features Analysis by Fanxiao Liu, Qiyuan Peng, Gongyuan Lu, Guangyuan Zhang

“…The current approach to train stop planning in China is based primarily on passenger demand volume information and the preset high-speed railway station level. …”
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Moving anchor node localization algorithm based on network connectivity by Ying LIU, Zhi-hong QIAN

“…In order to better solve the contradiction between precision of localization and the number of anchor nodes in wireless sensor network,a mobile anchor node localization technology based on connectivity was proposed.First,the coverage characteristic of the network nodes was analyzed,and a critical value was found between the mobile step and the anchor node communication radius,mobile anchor nodes＇ coverage characteristic would change when near this critical value.Second,a mobile anchor node followed a planning path to form a positioning area seamless coverage was used.Finally,when there was no need for high-precision technology,node position would been estimated according with the connectivity of the network and the receiving information of the node.The simulation results show that the proposed algorithm can realize coarse-grained localization,and paths perform complete localization.…”
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Path Planning and Motion Control of Robot Dog Through Rough Terrain Based on Vision Navigation by Tianxiang Chen, Yipeng Huangfu, Sutthiphong Srigrarom, Boo Cheong Khoo

“…Part two of this paper presents the development of a robust path planning algorithm for a robot dog on a rough terrain based on attached binocular vision navigation. …”
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Algorithm for Processing X-ray Images Using Fuzzy Logic by A. S. Mannaa

“…., to provide experts with more accurate information for pathology analysis. The objective of the study is to demonstrate the capabilities of fuzzy logic in improving the algorithm for determining reference lines and knee flexion angles. …”
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Generative LOD algorithm based on space–time grid model by Huangchuang Zhang, Ge Li

“…However, large-scale city information model (CIM) often has a complex geometric structure and huge data volume, which brings great challenges to data storage, computation and visualization. …”
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Application of Artificial Intelligence Computer Intelligent Heuristic Search Algorithm by Fanghai Gong

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A Multistep Iterative Ranking Learning Method for Optimal Project Portfolio Planning of Smart Grid by Cong Liu, Xianghua Li, Jian Liang, Kun Sheng, Lingzhao Kong, Xiaoyan Peng, Wenxin Zhao

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