Results 91 to 100 of about 21,753 (225)

Key Technical Fields and Future Outlooks of Space Manipulators: A Survey

SmartBot, EarlyView.
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen, Zeyuan Huang, Ying Yan, Xiaokang An, Zhikai Zhao, Jirong Lin, Xiangrong Zhao, Xianyuan Gao, Junyi Zong, Xuewen Jia, Zhipeng Yao, Jianliang Liao, Ning Ji   +12 more
wiley   +1 more source

Convergence analysis of particle swarm optimization algorithms for different constriction factors

Frontiers in Applied Mathematics and Statistics
Particle swarm optimization (PSO) algorithm is an optimization technique with remarkable performance for problem solving. The convergence analysis of the method is still in research.
Dereje Tarekegn Nigatu, Tekle Gemechu Dinka, Surafel Luleseged Tilahun   +2 more
doaj   +1 more source

Optimal structural design method for reinforced concrete column in buildings with high floor heights using a genetic algorithm

Structural Concrete, EarlyView.
Abstract Globally, there is a growing trend toward taller, larger, and more structurally diverse buildings that require expansive interior spaces. Rapid technological advancements have surged the demand for data centers, while the expansion of e‐commerce has increased logistics volumes, driving the need for large‐scale warehouses.
Han Yong Lee, Byeung‐Kuy Jung, Byung Kwan Oh   +2 more
wiley   +1 more source

Research on robot path planning based on improved PSO algorithm

Dianzi Jishu Yingyong
Traditional particle swarm optimization (PSO) is easy to premature convergence and fall into local optimum. Therefore, chaotic dynamic multi swarm particle swarm optimization (CDMPSO) is proposed and applied to robot three-dimensional path planning.
Wang Youyun, Xu Jianlei, Hu Yanhai, Chen Haihui, Zhang Xing   +4 more
doaj   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

Application of Intelligent Systems in CO2 Management: State of the Art and Future Prospects

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Machine learning (ML) integration is becoming increasingly popular in advancing the 4th industrial revolution, known as Industry 4.0. This review paper examines ML applications in CO2 management stages: emission, capture, and conversion. ML models, including multiple linear regression (MLR), multiple nonlinear regression (MNLR), and artificial
Muhammad Zulkefal, Iftikhar Ahmad, Asad Habib, Asad Ayub, Hamza Sethi, Ihsanullah Ihsanullah, Hakan Caliskan, Hiki Hong   +7 more
wiley   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility. [PDF]

Sensors (Basel), 2020
Band SS, Janizadeh S, Chandra Pal S, Saha A, Chakrabortty R, Shokri M, Mosavi A.   +6 more
europepmc   +1 more source

Multi‐Strategy Synergy‐Based Differential Evolution for Large Wind Farm Layout Optimization

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Exploring clean energy alternatives to fossil fuels has become a major research focus worldwide. Wind energy is regarded as one of the most promising renewable energy sources due to its clean and sustainable nature. However, wake interactions among turbines significantly reduce power conversion efficiency, making wind farm layout optimization (
Haotian Li, Yifei Yang, Qiong Fu, Zhenyu Lei, Zhe Xu, Shangce Gao   +5 more
wiley   +1 more source

A NEW PARTICLE SWARM OPTIMIZATION METHOD FOR THE PATH PLANNING OF UAV IN 3D ENVIRONMENT

Havacılık ve Uzay Teknolojileri Dergisi, 2012
Particle swarm optimization (PSO) method is relatively a new population-based intelligence algorithm and exhibits good performance in optimization problems.
Yasin Volkan Pehlivanoğlu
doaj