Výsledky vyhledávání - "Computer vision and image processing techniques"

Vision‐based vehicle speed estimation: A survey Autor Fernández Llorca, David, Hernández Martínez, Antonio, García Daza, Iván

“…The need to accurately estimate the speed of road vehicles is becoming increasingly important for at least two main reasons. First, the number of speed cameras…”
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Recognizing apple leaf diseases using a novel parallel real‐time processing framework based on MASK RCNN and transfer learning: An application for smart agriculture Autor Rehman, Zia ur, Khan, Muhammad Attique, Ahmed, Fawad, Damaševičius, Robertas, Naqvi, Syed Rameez, Nisar, Wasif, Javed, Kashif

“…Effective recognition of fruit leaf diseases has a substantial impact on agro‐based economies. Several fruit diseases exist that badly impact the yield and…”
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Real‐time automatic helmet detection of motorcyclists in urban traffic using improved YOLOv5 detector Autor Jia, Wei, Xu, Shiquan, Liang, Zhen, Zhao, Yang, Min, Hai, Li, Shujie, Yu, Ye

“…In traffic accidents, motorcycle accidents are the main cause of casualties, especially in developing countries. The main cause of fatal injuries in motorcycle…”
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An efficient and layout‐independent automatic license plate recognition system based on the YOLO detector Autor Laroca, Rayson, Zanlorensi, Luiz A., Gonçalves, Gabriel R., Todt, Eduardo, Schwartz, William Robson, Menotti, David

“…This paper presents an efficient and layout‐independent Automatic License Plate Recognition (ALPR) system based on the state‐of‐the‐art you only look once…”
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PotNet: Pothole detection for autonomous vehicle system using convolutional neural network Autor Dewangan, Deepak Kumar, Sahu, Satya Prakash

“…Advancement in vision‐based techniques has enabled the autonomous vehicle system (AVS) to understand the driving scene in depth. The capability of autonomous…”
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Dual branch convolutional neural network for copy move forgery detection Autor Goel, Nidhi, Kaur, Samarjeet, Bala, Ruchika

“…The advent of digital era has seen a rise in the cases of illegal copying, distribution and forging of images. Even the most secure data channels sometimes…”
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TDD-net: a tiny defect detection network for printed circuit boards Autor Ding, Runwei, Dai, Linhui, Li, Guangpeng, Liu, Hong

“…Tiny defect detection (TDD) which aims to perform the quality control of printed circuit boards (PCBs) is a basic and essential task in the production of most…”
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Research on transformer fault diagnosis: Based on improved firefly algorithm optimized LPboost–classification and regression tree Autor Zhang, Xiaoxing, Fang, Rongxing, Zhang, Guozhi, Fang, Yaqi, Zhou, Xiu, Ma, Yunlong, Wang, Kun, Chen, Kang

“…The information of dissolved gas in transformer oil can reflect the potential fault in oil immersed power transformer. In order to improve the accuracy of…”
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CNN‐based infrared dim small target detection algorithm using target‐oriented shallow‐deep features and effective small anchor Autor Du, Jinming, Lu, Huanzhang, Hu, Moufa, Zhang, Luping, Shen, Xinglin

“…For the extremely small size and low signal‐to‐clutter ratio, target detection in infrared images is still a considerable challenge. Specifically, it is very…”
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Directed hypergraph attention network for traffic forecasting Autor Luo, Xiaoyi, Peng, Jiaheng, Liang, Jun

“…In traffic systems, traffic forecasting is a critical issue, which has attracted much interest from researchers. It is a challenging task due to the complex…”
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Convolutional neural network for smoke and fire semantic segmentation Autor Frizzi, Sebastien, Bouchouicha, Moez, Ginoux, Jean‐Marc, Moreau, Eric, Sayadi, Mounir

“…In recent decades, global warming has contributed to an increase in the number and intensity of wildfires destroying millions hectares of forest areas and…”
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Prediction of transformer fault in cooling system using combining advanced thermal model and thermography Autor Shiravand, Vahid, Faiz, Jawad, Samimi, Mohammad Hamed, Mehrabi‐Kermani, Mehdi

“…Thermal models are widely used for diagnosing thermal faults, predicting the thermal behaviour, estimating hot spots, and evaluating the loading capacity. This…”
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An optimized YOLO‐based object detection model for crop harvesting system Autor Junos, Mohamad Haniff, Mohd Khairuddin, Anis Salwa, Thannirmalai, Subbiah, Dahari, Mahidzal

“…The adoption of automated crop harvesting system based on machine vision may improve productivity and optimize the operational cost. The scope of this study is…”
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A remote healthcare monitoring framework for diabetes prediction using machine learning Autor Ramesh, Jayroop, Aburukba, Raafat, Sagahyroon, Assim

“…Diabetes is a metabolic disease that affects millions of people each year. It is associated with an increased likelihood of vital organ failures and decreased…”
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Enhanced CNN for image denoising Autor Tian, Chunwei, Xu, Yong, Fei, Lunke, Wang, Junqian, Wen, Jie, Luo, Nan

“…Owing to the flexible architectures of deep convolutional neural networks (CNNs) are successfully used for image denoising. However, they suffer from the…”
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Deep learning for occluded and multi‐scale pedestrian detection: A review Autor Xiao, Yanqiu, Zhou, Kun, Cui, Guangzhen, Jia, Lianhui, Fang, Zhanpeng, Yang, Xianchao, Xia, Qiongpei

“…Pedestrian detection, as a research hotspot in the field of computer vision, is widely used in many fields, such as automatic driving, video surveillance,…”
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Anomaly detection in video sequences: A benchmark and computational model Autor Wan, Boyang, Jiang, Wenhui, Fang, Yuming, Luo, Zhiyuan, Ding, Guanqun

“…Anomaly detection has attracted considerable search attention. However, existing anomaly detection databases encounter two major problems. Firstly, they are…”
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Deep coordinate attention network for single image super‐resolution Autor Xie, Chao, Zhu, Hongyu, Fei, Yeqi

“…Deep learning techniques and deep networks have recently been extensively studied and widely applied to single image super‐resolution (SR). Among them, channel…”
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Multi‐image encryption algorithm based on image hash, bit‐plane decomposition and dynamic DNA coding Autor Zhang, Qiuyu, Han, Jitian, Ye, Yutong

“…Problems such as large data volumes, slow transmission rates and low security often occur when transmitting multiple digital images over the internet. In order…”
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Identification of plant disease images via a squeeze‐and‐excitation MobileNet model and twice transfer learning Autor Chen, Junde, Zhang, Defu, Suzauddola, Md, Nanehkaran, Yaser Ahangari, Sun, Yuandong

“…Crop diseases have a devastating effect on agricultural production, and serious diseases can lead to harvest failure entirely. Recent developments in deep…”
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