The proceedings contain 37 papers. The special focus in this conference is on artificial Intelligence and its applications. The topics include: The Hybrid Cardiac Risk Assessment and Prediction Model Using Convolution...
ISBN:
(纸本)9783031843969
The proceedings contain 37 papers. The special focus in this conference is on artificial Intelligence and its applications. The topics include: The Hybrid Cardiac Risk Assessment and Prediction Model Using Convolutional neuralnetworks;deep Learning applications for Malaria Detection and Diagnosis: A Review;Environmental Considerations in the Ethics of AI Adoption in Healthcare: Striving for Sustainable and Responsible Practices;harnessing the Power of Cognitive Computing: Assessing Point-of-Care Decision Support Tools in Oncology Practice;Critical Analysis in Use of AI in Health Care Management;classification and Prediction of Spinal Tuberculosis Disease Using Optimization of Convolution neural Network Using Spatial and Temporal Constraints;artificial Intelligence for Remote Healthcare in Underserved Areas: Enhancing Access and Quality of Healthcare Delivery;machine Learning Based Skin Cancer Detection and Recognitions Techniques in IoT Environment;validation of a Chronic Kidney Disease Prediction System Using Machine Learning Techniques;real-Time Feedback Detection Using Emotion Detection and Facial Recognition;revolutionizing Vision Tasks: Unlocking Potential Through Patch-Based Approaches;automated Knee Implant Identification from 2D Templates Using imageprocessing and artificial Intelligence – An Experimental Approach;crop Analysis and Classification Based on Phenotype Using Ensemble Learning;Classification and Identification with Health Benefit Assessment and Nutrient Profile of Brewed Tea Utilizing Computer Vision with ML and DL and Sensory Approaches;enhancing Industrial Automation Flexibility Through neural Network-Empowered Machine Vision applications.
Collaborative robots, or cobots, have emerged as vital assets in numerous industries, reshaping operational paradigms and fostering human-machine collaboration. This paper introduces Piktor-o-bot, a Universal Robots 5...
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The proceedings contains 15 papers from SPIE: applications of artificialneuralnetworks in imageprocessing III. Topics discussed include: neural-network-based target detection system for FLIR imagery;random neural n...
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The proceedings contains 15 papers from SPIE: applications of artificialneuralnetworks in imageprocessing III. Topics discussed include: neural-network-based target detection system for FLIR imagery;random neural network recognition of shaped objects in strong clutter;metrics for target recognition;imageprocessing with the random neuralnetworks and image manifolds.
作者:
Madani, Kurosh
PARIS-EST / PARIS 12 - Val de Marne University Senart Institute of Technology Avenue Pierre Point F-77127 Lieusaint France
The main goal of this paper is to present artificialneural Network potential, through main ANN models and based techniques, to solve real world industrial problems dealing with imageprocessing and pattern recognitio...
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The proceedings contains 14 papers from the Conference on SPIE: applications of artificial neural networks in image processing viiI. The topics discussed include: selective visual attention in object detection process...
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The proceedings contains 14 papers from the Conference on SPIE: applications of artificial neural networks in image processing viiI. The topics discussed include: selective visual attention in object detection processes;application of genetic algorithms and neuralnetworks in the automatic classification of leukocytes;character recognition by synergetic neural network based on selective attention parameters and dynamic electrical impedance tomography method based on a multilevel BP neural network.
Pest outbreaks have a significant impact on plants and crops, important to a reduction in national agricultural productivity. Conventionally, farmers and specialists rely on physical observation, and it can be timecon...
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The proceedings contains 23 papers. Following topics are discussed: neural network architectures for image coding;fuzzy and neural classification, segmentation and feature extraction;neuralnetworks for object classif...
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ISBN:
(纸本)0819420387
The proceedings contains 23 papers. Following topics are discussed: neural network architectures for image coding;fuzzy and neural classification, segmentation and feature extraction;neuralnetworks for object classification and labeling;and optimization and learning.
Advancements in remote sensing (RS) have greatly increased the availability of satellite imagery, enabling diverse applications. However, cloud-cover remains a significant challenge, obstructing the acquisition and an...
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ISBN:
(数字)9798331537555
ISBN:
(纸本)9798331537562
Advancements in remote sensing (RS) have greatly increased the availability of satellite imagery, enabling diverse applications. However, cloud-cover remains a significant challenge, obstructing the acquisition and analysis of optical satellite images. This necessitates advanced cloud classification techniques as a crucial preprocessing step. The proposed MobileNetV2-based convolutional neural network architecture demonstrates unprecedented cloud classification capabilities, effectively processingimagery across diverse spatial resolutions ranging from 10 to 56 meters. By leveraging sophisticated machine learning algorithms, the model transcends traditional pixel-based thresholding techniques, capturing complex inter-pixel spatial correlations with remarkable precision. Experimental validation across heterogeneous datasets including IRS (AWiFS, LISS-III), Landsat, and Sentinel platforms reveals exceptional performance metrics, consistently achieving classification accuracies exceeding 99.94%.
The proceedings contain 28 papers. The special focus in this conference is on imageprocessing, Computer Vision, and Pattern Recognition. The topics include: image-Based Seal Recognition: Approaches and Challenge...
ISBN:
(纸本)9783031859328
The proceedings contain 28 papers. The special focus in this conference is on imageprocessing, Computer Vision, and Pattern Recognition. The topics include: image-Based Seal Recognition: Approaches and Challenges in Current Automated Systems;Deep Learning Techniques for Lunar Impact Crater Identification Based on CCD and DEM Data;silicon Wafer Map Defect Classification Using artificial Intelligence Models;low Light image Enhancement Using Autoencoder-Based Deep neuralnetworks;towards Elephants Intelligent Monitoring in Zakouma National Park, Chad;a Review of Multi-modal and Multi-view applications in Hand-Drawn Sketch images;residential Real Estate image Classification for Property Valuation;Novel Method to Investigate Decay in Rotting Bananas Using RGB Color images;lalitha: A Hand Gesture-Based Computer Control System;dishari: A Novel Gesture-Based Educational Application for Specially Challenged People;mobility Anomaly Detection with Intelligent Video Surveillance;Weakly-Supervised Video Anomaly Detection Using Modified Anomaly Score Module and Modified BERT;Contour Detection of Seeds Based on Traditional and Convolutional neural Network (CNN) Based Algorithms;Early Detection of Lameness in Dairy Cattle Using Activity Data, image Analysis, AI and ML - An Approach for Improved Animal Welfare and Economic Impact;implications for Designing Hawks Detection with Data Augmentation and Network Optimizations;a Review of Detecting and Quantification of Cracks Using Convolutional neuralnetworks and imageprocessing Techniques;using Linkage Context for Automated Correction in Unsupervised Entity Resolution;the Rising Threat Against Modern Technology in Cybersecurity;an Online Bookstore Design and Implementation;cybersecurity: Sight and Foresight;the Application of Blockchain Technology in the Transmission of Semiconductor Process Recipes;the Use of Social Media and the Internet for the Facilitation of Human Trafficking.
The proceedings contain 17 papers. The topics discussed include: entropy-constrained learning vector quantization algorithms and their application in image compression;predictive vector quantization using neural netwo...
The proceedings contain 17 papers. The topics discussed include: entropy-constrained learning vector quantization algorithms and their application in image compression;predictive vector quantization using neuralnetworks;design of an adaptive genetic learning neural network system for image compression;binary image compression using identity mapping backpropagation neural network;block-predictive image coder of neural network in multiresolution domain;and comparison of ML parameter estimation and neural network classifier for texture classification.
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