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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artificial intelligence (AI) has been a key research area since the 1950s, initially focused on using logic and reasoning to create systems that understand language, control robots, and offer expert advice. With the r...
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ISBN:
(数字)9798331516147
ISBN:
(纸本)9798331516154
artificial intelligence (AI) has been a key research area since the 1950s, initially focused on using logic and reasoning to create systems that understand language, control robots, and offer expert advice. With the rise of big data and deep learning, AI has advanced in applications like recommendation systems, image recognition, and machine translation, primarily through optimizing loss functions in deep neuralnetworks to improve accuracy and reduce training *** descent is the core optimization method but faces challenges like slow convergence and local minima. To overcome these, algorithms like Momentum, AdaGrad, RMSProp, Adadelta, Adam, and Nadam have been developed, introducing momentum and adaptive learning rates to accelerate convergence. This paper presents a new optimization algorithm that combines the strengths of Adam and AdaGrad, offering better adaptability to different learning rates.
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)9783031843938
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.
In image classification, identification of handwritten digits forms a simple choreacle especially with datasets such as MNIST that has grown to become a benchmark for testing machine learning models. Though several mo...
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ISBN:
(数字)9798331543891
ISBN:
(纸本)9798331543907
In image classification, identification of handwritten digits forms a simple choreacle especially with datasets such as MNIST that has grown to become a benchmark for testing machine learning models. Though several models for digital recognition have become available, achieving high accuracy and economy in processing remains a difficulty. It is meant to present a tailored design for a Convolutional neural Network (CNN) with regard to the MNIST dataset, which should achieve an optimal balance between accuracy and speed. For improving the learning ability and robustness of the network, special architectural design changes are incorporated into our proposed architecture: dropout regularisation and optimum convolutional layers. Using these techniques the model precisely identifies the digits at 98%. This excellent performance of the model underlines its potential to be applied in practical scenarios where speed and accuracy are crucially important. The work advances this increasingly popular field of deep learning, insofar as it demonstrates how fine-tuned CNNs can be engineered to yield accurate and efficient results for more challenging image classification tasks, with far-reaching consequences for broader machine learning applications.
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.
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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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 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.
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.
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