the proceedings contain 56 papers. the topics discussed include: investigating Ku-band up-link interference from terrestrial microwaves on satellite reception;compact 1:2 Wilkinson power divider using slow-wave transm...
ISBN:
(纸本)9798331519957
the proceedings contain 56 papers. the topics discussed include: investigating Ku-band up-link interference from terrestrial microwaves on satellite reception;compact 1:2 Wilkinson power divider using slow-wave transmission lines;improving rural mobile connectivity in Nigeria using low-cost transceiver architecture;free space optical relaying via an energy harvesting harvest-store-use buffer-aided relay;coplanar waveguide antenna with an AMC structure for frequency agility applications;module addition-aware dynamic shape recognition for lattice-based modular robots;increasing power efficiency of spatial cognitive radio system by sectorization technique;and triple circular radiators frequency diversity microstrip antenna with AMC structure.
the proceedings contain 155 papers. the topics discussed include: enhancing systematic literature reviews: evaluating the performance of LLM-based tools across key systematic literature review stages;optical observati...
ISBN:
(纸本)9798331530983
the proceedings contain 155 papers. the topics discussed include: enhancing systematic literature reviews: evaluating the performance of LLM-based tools across key systematic literature review stages;optical observation for body angles of cricket players’ motion to identify the batting shots;enhanced approaches to kingfisher species identification using machine learning and deep learning;BAHAGAP: design and development of an image processing-based detection and monitoring system for early flood warnings in high-risk zones;model optimization for personalized health metrics analysis;a secure protocol for computer-based assessments in disrupted environments;machine learning based enhanced remote power analysis attacks;and Indian sign language alphanumeric hand gestures recognition using deep learning techniques.
optical flow estimation has always been a fundamental task in computer vision. Due to the ultra-wide field of view (FoV) of panoramic cameras, traditional perspective-based methods for optical flow estimation fail to ...
详细信息
ISBN:
(纸本)9789819785018;9789819785025
optical flow estimation has always been a fundamental task in computer vision. Due to the ultra-wide field of view (FoV) of panoramic cameras, traditional perspective-based methods for optical flow estimation fail to adapt to the omnidirectional nature of 360 degrees panoramic images, making optical flow estimation for panoramic images challenging. In this paper, we firstly transform panoramic images into a set of distortion-free tangent images to cover the entire FoV and extract tangent images features using CNN, solving the problem of significant distortion of equirectangular projection. then, we introduce a stereo embedding module that adds stereoscopic features to the tangent images to make its globally consistent. Finally, we globally aggregate the distortion-free features of the encoder through transformer, which in turn enhances the image features to solve the large displacement of pixels. Extensive experimental results demonstrate that our method achieves state-of-the-art performance on the public dataset FlowScape and exhibits strong generalization capability.
the proceedings contain 18 papers. the topics discussed include: generalization of Brady-Yong algorithm for fast Hough transform to arbitrary image size;leveraging machine learning to predict factors that drive succes...
ISBN:
(纸本)9781510688797
the proceedings contain 18 papers. the topics discussed include: generalization of Brady-Yong algorithm for fast Hough transform to arbitrary image size;leveraging machine learning to predict factors that drive successful basketball team formation;real-time reconstruction on Micro-CT setup;stability of artificial intelligence methods in computed tomography metal artifacts reduction task;orthotropic alignment for X-ray computed tomography images;X-ray computed tomography traps and challenges for deep learning scientist;denoising diffusion probabilistic model for accurate super-resolution in landslide and debris flow disaster remote sensing images;and trajectory refinement in SLAM: the impact of Adam, AdamW, and SGD with momentum.
optical Character recognition, or OCR, is a tool that could apprehend textual content in photographs or scanned documents and convert it into system-readable textual content. To recognize and extract information from ...
详细信息
Due to the problems of low detection accuracy and high missed detection rate caused by small and dense objects in remote sensing images, we propose an improved lightweight YOLOv10 model aimed at improving detection pe...
详细信息
Sucker rod pump systems, accounting for over 80% of global artificial lift installations, face increasing challenges in maintaining operational efficiency due to complex working conditions and diverse fault patterns. ...
详细信息
Automatic number plate recognition (ANPR) systems play a vital role in global security and crime prevention. However, despite their importance, there is a notable lack of research assessing commercial off-the-shelf AN...
详细信息
ISBN:
(纸本)9783031782541;9783031782558
Automatic number plate recognition (ANPR) systems play a vital role in global security and crime prevention. However, despite their importance, there is a notable lack of research assessing commercial off-the-shelf ANPR systems. Given that ANPR systems are not universally applicable due to regional variations in number plates, performance varies per region. A recent two-year study of a commercial ANPR system revealed a concerning average accuracy of 70%. this falls significantly short of the global average of 90%, compromising the reliability of the ANPR results. this study aims to address this knowledge gap by investigating factors that influence the performance of ANPR systems and comparing the effectiveness of commercial off-the-shelf solutions on South African vehicle plates. Four cloud-based ANPR solutions and an ANPR camera were assessed with a custom dataset. the custom dataset contains vehicle plates from different provinces and a government department. the study revealed that the camera viewing angle significantly affected the accuracy of the deployed ANPR system. Cloud-based ANPR APIs outperformed the ANPR camera system by 6.67%. In addition, most ANPR systems have difficulty detecting and correctly recognising number plate characters when there are multiple vehicles in the image. these findings underscore the need for region-specific optimisation and more comprehensive evaluation frameworks to enhance the reliability and accuracy of commercial ANPR systems in diverse real-world scenarios.
the proceedings contain 88 papers. the topics discussed include: DFCRN: deep-learning-based audio denoising for bird monitoring;emotion classification based on EEG wavelet features and LSTM network;facial expression r...
ISBN:
(纸本)9781510686724
the proceedings contain 88 papers. the topics discussed include: DFCRN: deep-learning-based audio denoising for bird monitoring;emotion classification based on EEG wavelet features and LSTM network;facial expression recognition algorithm based on deep learning;an aircraft recovery method based on ALNS;vehicle classification method based on deep learning;the impact of ephemeral data sharing on e-commerce supply chain product quality and service strategies under channel power change;application of conditional DDPM on the MNIST dataset;interpretability analysis of flight delay prediction based on KernelSHAP;MVDR algorithm based on sample selection strategy;fast video stitching algorithm based on adaptive key frames extraction;and based on structure and texture dual-stream network for ancient mural restoration.
Micro-expressions, imperceptible spontaneous facial movements reflecting underlying emotions, hold significant importance in emotion recognition. Due to their short duration and low intensity, micro-expression recogni...
详细信息
暂无评论