Výsledky vyhledávání - "Learning-based algorithms"

Survey on computational-intelligence-based UAV path planning Autor Zhao, Yijing, Zheng, Zheng, Liu, Yang

“…The key objective of unmanned aerial vehicle (UAV) path planning is to produce a flight path that connects a start state and a goal state while meeting the…”
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Computational Intelligence Algorithms for UAV Swarm Networking and Collaboration: A Comprehensive Survey and Future Directions Autor Cao, Pan, Lei, Lei, Cai, Shengsuo, Shen, Gaoqing, Liu, Xiaojiao, Wang, Xinyi, Zhang, Lijuan, Zhou, Liang, Guizani, Mohsen

“…Unmanned aerial vehicle (UAV) swarm networking and collaboration have significant prospects in both civilian and military applications, due to its remarkable…”
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Advances in machine learning-based active vibration control for automotive seat suspensions: A comprehensive review Autor Zhao, Yuli, Zhang, Yihe, Guo, Linchuan, Ding, Songlin, Wang, Xu

“…With the rise of intelligent vehicles, the driving and riding experience has undergone significant changes. However, research on intelligent active vibration…”
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An online time-domain strategy for multiple impact identification of framed structures using neural networks and ensemble learning algorithms Autor Shahabi, Pouya, Mahdavi, Seyed Hossein, Hamzehei-Javaran, Saleh, Shojaee, Saeed

“…This research presents an efficient approach for identification of consecutive impact forces applied to framed structures using an online multi-stage impact…”
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Monitoring of machining process anomalies in diamond turning of Ti6Al4V alloy using transfer learning-based algorithms Autor Manjunath, K, Tewary, Suman, Khatri, Neha, Cheng, Kai

“…•Challenges associated with the in-process monitoring diamond turning are discussed.•If process drifts are not detected timely can cause an impact on substrate…”
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Learning-based algorithms for vessel tracking: A review Autor Jia, Dengqiang, Zhuang, Xiahai

“…[Display omitted] •An up-to-date review on the topic of vessel tracking based on machine learning methods is provided.•Literature is divided into two…”
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Ultimate load bearing of helical piles prediction and evaluation using machine learning-based algorithms Autor Eslami, Abolfazl, Rahimi, Amirhossein, Nobahar, Masoud

“…This study aims to predict the Ultimate Load-Bearing (ULB) capacity of Helical Piles (HP) using six Machine Learning Algorithms (MLA) on an in situ-based 110…”
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Change detection in SAR images using deep belief network: a new training approach based on morphological images Autor Samadi, Farnaam, Akbarizadeh, Gholamreza, Kaabi, Hooman

“…In solving change detection problem, unsupervised methods are usually preferred to their supervised counterparts due to the difficulty of producing labelled…”
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Scanline intersection similarity: A similarity metric for joint trace maps Autor Kim, Jineon, Lee, Yong-Ki, Choi, Chae-Soon, Fereshtenejad, Sayedalireza, Song, Jae-Joon

“…Although various automatic joint trace survey methods have been proposed, it has been difficult to evaluate their accuracy. This difficulty lies in the lack of…”
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Human–Robot Collaborative Manufacturing Cell with Learning-Based Interaction Abilities Autor Baptista, Joel, Castro, Afonso, Gomes, Manuel, Amaral, Pedro, Santos, Vítor, Silva, Filipe, Oliveira, Miguel

“…This paper presents a collaborative manufacturing cell implemented in a laboratory setting, focusing on developing learning-based interaction abilities to…”
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Real-time RL-based Matching with H3 Geohash Partitioning in Smart Freight Platform Autor Shiri, Ali, YarAhmadi, Asad, Keivanpour, Samira, Lamghari, Amina

“…This research presents a novel Deep Q-Learning (DQL) framework designed for efficient real-time matching of shipments and vehicles in the freight…”
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Identifying Malicious Software Using Deep Residual Long-Short Term Memory Autor Alotaibi, Aziz

“…The use of smartphone applications based on the Android OS platform is rapidly growing among smartphone users. However, malicious apps for Android are being…”
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Comparative Analysis of Machine and Deep Learning Models for Soil Properties Prediction from Hyperspectral Visual Band Autor Datta, Dristi, Paul, Manoranjan, Murshed, Manzur, Teng, Shyh Wei, Schmidtke, Leigh

“…Estimating various properties of soil, including moisture, carbon, and nitrogen, is crucial for studying their correlation with plant health and food…”
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Learning-based image interpolation via robust k-NN searching for coherent AR parameters estimation Autor Hung, Kwok-Wai, Siu, Wan-Chi

“…•Learning-based image interpolation using precise and robust k-NN searching for an accurate AR modeling.•Robustness to insufficient k-NN matches and adaptation…”
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A Learning-Based Coloring Algorithm for Register Allocation Problem Autor Terci, Gizem Sungu

“…The register allocation problem involves assigning variables in a program to physical registers in a computer's processor. It can be modeled as a weighted node…”
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Detection of Fabric Defects Using Convolutional Networks Autor Durmusoglu, Alptekin, Kahraman, Yavuz

“…Defects on fabric surface, which greatly affects product quality, is an important issue under investigation for engineers, researchers, and organizations…”
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Energy or Accuracy? Near-Optimal User Selection and Aggregator Placement for Federated Learning in MEC Autor Xu, Zichuan, Li, Dongrui, Liang, Weifa, Xu, Wenzheng, Xia, Qiufen, Zhou, Pan, Rana, Omer F., Li, Hao

“…To unveil the hidden value in the datasets of user equipments (UEs) while preserving user privacy, federated learning (FL) is emerging as a promising technique…”
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PID controller for automatic voltage regulator using teaching–learning based optimization technique Autor Chatterjee, Shamik, Mukherjee, V.

“…•Modeling of AVR for power system is done.•Modified PID controller with first order filter effect is incorporated.•PID controller gains are tuned by teaching…”
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An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation Autor Niknam, Taher, Azizipanah-Abarghooee, Rasoul, Narimani, Mohammad Rasoul

“…► Proposes a stochastic model for optimal energy management. ► Consider uncertainties related to the forecasted values for load demand. ► Consider…”
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Broadband multi-unit composite metamaterial for simultaneous sound wave and electromagnetic wave absorption Autor Gao, Nansha, Zhang, Zhicheng, Liang, Xiao, Li, Yiting, Pan, Guang

“…[Display omitted] •Digital multi-unit composite metamaterial achieves noise and electromagnetic wave absorption simultaneously.•Optimized average sound…”
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