The article proposes the architecture for event-driven Emergency Operation Center with Machine vision Component. Sources of information are analyzed and approaches to machine vision events for tactical situations dete...
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Accelerating vision Transformers (ViT) for image classification have demonstrated remarkable performance in various computervision tasks, often surpassing the capabilities of Convolutional Neural Networks (CNNs). How...
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The proceedings contain 43 papers. The special focus in this conference is on computervision, High Performance Computing, Smart Devices, and Networks. The topics include: Machine Learning-Based Path Loss Estimation M...
ISBN:
(纸本)9789819966899
The proceedings contain 43 papers. The special focus in this conference is on computervision, High Performance Computing, Smart Devices, and Networks. The topics include: Machine Learning-Based Path Loss Estimation Model for a 2.4 GHz ZigBee Network;Comparative Analysis of CNN Models with vision Transformer on Lung Infection Classification;classification of Alzheimer’s Disease Using Stacking-Based Ensemble and Transfer Learning;heart Device for Expectation of Coronary Illness Utilizing Internet of Things;Parallel Programming in the Hybrid Model on the HPC Clusters;an Extensive Study of Frequent Mining Algorithms for Colossal Patterns;a Review Paper on Progressive Approach to Reduce Context Switching in Round Robin Scheduling Algorithm;Syn Flood DDoS Attack Detection with Different Multilayer Perceptron Optimization Techniques Using Uncorrelated Feature Subsets Selected by Different Correlation Methods;Ensemble Model Detection of COVID-19 from Chest X-Ray Images;Evolutionary, Protein–Protein Interaction (PPI), and Domain–Domain Analyses in Huntington’s Disease;Transfer Learning-Based Effective Facial Emotion Recognition Using Contrast Limited Adaptive Histogram Equalization (CLAHE);transformer Model for Human Activity Recognition Using IoT Wearables;design and Development of a Chatbot for Personalized Learning in Higher Education;performance Evaluation of Concentric Hexagonal Array for Smart Antenna Applications;a Comprehensive Study on Bridge Detection and Extraction Techniques;vegetation Change Detection of Multispectral Satellite Images Using Remote Sensing;performance Evaluation of Neural Networks-Based Virtual Machine Placement Algorithm for Server Consolidation in Cloud Data Centres;low-Resource Indic Languages Translation Using Multilingual Approaches;DCC: A Cascade-Based Approach to Detect Communities in Social Networks;an Improved Way to Implement Round Robin Scheduling Algorithm.
On national highways, in isolated places, or at night, many accidents go unreported. If the accident victim receives medical attention soon after the incident, about 40% of fatalities from accidents can be avoided. Am...
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Predicting stock market bubbles is indispensable for risk control and refinement of trading strategies. Therefore, this study presents a Machine-Learning Framework to detect price bubble formations based on Support Ve...
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The surface integrity, rot degree, mechanical damage, rupture, scar and other states of sand sugar orange fruit can be reflected from the surface defects of sand sugar orange. The surface defects of sand sugar orange ...
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All services provided by robots to humans are based on navigation control. Navigation control includes positioning and navigation. Path planning is a key part of navigation. The navigation control algorithm is at the ...
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The world's main grain crop is rice (Oryza sativa). It provides the majority of the world's population with nourishment and energy. Numerous rice leaf diseases are a major threat to the world's agricultura...
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Traffic signs, as critical assets on highways, play a crucial role in road safety, traffic flow optimization, and intelligent transportation systems. In urban road environments, the influence of factors such as urban ...
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Humans have longed for computers to take over and make the monotonous and tedious tasks obsolete. Artificial Intelligence(AI) is just the right answers to this problem. There are not one but many sectors that are bein...
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