Computational Intelligence in Communications and Business Analytics
portes grátis
Computational Intelligence in Communications and Business Analytics
5th International Conference, CICBA 2023, Kalyani, India, January 27-28, 2023, Revised Selected Papers, Part I
Mukhopadhyay, Somnath; Mandal, Jyotsna K.; Dutta, Paramartha; Dasgupta, Kousik
Springer International Publishing AG
11/2023
351
Mole
Inglês
9783031488757
15 a 20 dias
Descrição não disponível.
Track: Computational Intelligence.- A Review on Machine Learning and Deep Learning Based Approaches in Detection and Grading of Alzheimer's Disease.- Assessment of Slope Instability in a Hilly Terrain: A Logistic regression and Random Forest Based Approach.- A Comparative Study on the Evaluation of k-mer Indexing in Genome Sequence Compression.- Classification of Text and Non-text Components present in offline Unconstrained handwritten documents using Convolutional Neural Network.- Motion Detection using Three Frame Differencing and CNN.- Advance detection of Diabetic Retinopathy: Deep Learning Approach.- Load Flow Solution For Radial Distribution Networks Using Chaotic Opposition based WhaleOptimization Algorithm.- Dimension Reduction in Hyperspectral Image Using Single Layer Perceptron Neural Network.- Economic load dispatch problem using African vulture optimization algorithm (AVOA) in thermal power plant with wind energy.- Grey Wolf Optimization Based Maximum Power Point Tracking Algorithm for Partially Shaded Photovoltaic Modules in Wireless Battery Charging Application.- Regression Analysis For Finding Correlation On Indian Agricultural Data.- Classification of the Chest X-ray Images of COVID-19 Patients through the Mean Structural Similarity Index.- A Religious Sentiment Detector based on Machine Learning to provide meaningful analysis of Religious Texts.- Automated Detection of melanoma skin disease using classification algorithm.- Identification of Cloud types for Meteorological Satellite images: A character-based CNN-LSTM hybrid caption model.- Prediction and Deeper Analysis of Market Fear in Pre-COVID-19, COVID-19 and Russia-Ukraine Conflict: A Comparative Study of Facebook Prophet, Uber Orbit and Explainable AI.- ANN for diabetic prediction by using chaotic based sine cosine algorithm.- A Deep CNN Framework for Oral Cancer Detection using Histopathology Dataset.- AntiNuclear Antibody Pattern Classification using CNN with Small Dataset.- Classification of Offensive Tweet in MarathiLanguage using Machine Learning Models.- An integrative method for COVID-19 patients' classification from chest X-ray using deep learning network with feature extraction from image visibility graph.- Identification And Multi-Classification of Several Potato Plant Leave Diseases Using Deep Learning.- A GUI-based approach to predict heart disease using machine learning algorithms and flask API.- Classification of cricket shots from cricket videos using Self-Attention Infused CNN-RNN (SAICNNRNN).- Attention-Residual Convolutional Neural Network for Image Restoration Due to Bad Weather.- Deep Learning-Based Intelligent GUI Tool For Skin Disease Diagnosis System.
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artificial intelligence;communication systems;computer networks;computer science;computer security;computer systems;computer vision;cryptography;databases;image analysis;image coding;image processing;machine learning;network protocols;pattern recognition;signal processing;telecommunication systems
Track: Computational Intelligence.- A Review on Machine Learning and Deep Learning Based Approaches in Detection and Grading of Alzheimer's Disease.- Assessment of Slope Instability in a Hilly Terrain: A Logistic regression and Random Forest Based Approach.- A Comparative Study on the Evaluation of k-mer Indexing in Genome Sequence Compression.- Classification of Text and Non-text Components present in offline Unconstrained handwritten documents using Convolutional Neural Network.- Motion Detection using Three Frame Differencing and CNN.- Advance detection of Diabetic Retinopathy: Deep Learning Approach.- Load Flow Solution For Radial Distribution Networks Using Chaotic Opposition based WhaleOptimization Algorithm.- Dimension Reduction in Hyperspectral Image Using Single Layer Perceptron Neural Network.- Economic load dispatch problem using African vulture optimization algorithm (AVOA) in thermal power plant with wind energy.- Grey Wolf Optimization Based Maximum Power Point Tracking Algorithm for Partially Shaded Photovoltaic Modules in Wireless Battery Charging Application.- Regression Analysis For Finding Correlation On Indian Agricultural Data.- Classification of the Chest X-ray Images of COVID-19 Patients through the Mean Structural Similarity Index.- A Religious Sentiment Detector based on Machine Learning to provide meaningful analysis of Religious Texts.- Automated Detection of melanoma skin disease using classification algorithm.- Identification of Cloud types for Meteorological Satellite images: A character-based CNN-LSTM hybrid caption model.- Prediction and Deeper Analysis of Market Fear in Pre-COVID-19, COVID-19 and Russia-Ukraine Conflict: A Comparative Study of Facebook Prophet, Uber Orbit and Explainable AI.- ANN for diabetic prediction by using chaotic based sine cosine algorithm.- A Deep CNN Framework for Oral Cancer Detection using Histopathology Dataset.- AntiNuclear Antibody Pattern Classification using CNN with Small Dataset.- Classification of Offensive Tweet in MarathiLanguage using Machine Learning Models.- An integrative method for COVID-19 patients' classification from chest X-ray using deep learning network with feature extraction from image visibility graph.- Identification And Multi-Classification of Several Potato Plant Leave Diseases Using Deep Learning.- A GUI-based approach to predict heart disease using machine learning algorithms and flask API.- Classification of cricket shots from cricket videos using Self-Attention Infused CNN-RNN (SAICNNRNN).- Attention-Residual Convolutional Neural Network for Image Restoration Due to Bad Weather.- Deep Learning-Based Intelligent GUI Tool For Skin Disease Diagnosis System.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
