Proceedings of International Joint Conference on Advances in Computational Intelligence
portes grátis
Proceedings of International Joint Conference on Advances in Computational Intelligence
IJCACI 2023
Bansal, Jagdish Chand; Uddin, Mohammad Shorif
Springer Verlag, Singapore
04/2024
813
Dura
9789819701797
15 a 20 dias
Descrição não disponível.
Conversational Swarm Intelligence (CSI) enhances groupwise deliberation.- Enhancing Biometrics with Auto Encoder: Accurate Finger Detection from Fingerprint Images.- Minimization of Structural Systems Eccentricity by means of the Imperialist Competitive Algorithm.- Towards Early Detection of Neonatal Birth Asphyxia Utilizing Ensemble Machine Learning Approach.- Data Hiding System based on variations in Image Interplation algorithms.- Fault assessment and early performance prediction of PV module using machine learning.- Speeding classification by a deep learning audio analysis system optimized by the reptile search algorithm.- Exploring Sentiments in Text: A Survey of Implicit and Explicit Aspect-Based Sentiment Analysis.- A Comprehensive Review on Prediction of Blood Glucose Level in Type-1 Diabetic Using Machine Learning Techniques.- Effect of Phosphorylation on the Circadian Clock of Drosophila by Analytical and Graph Theory Matrix Approach.- Exploiting Deep Learning Techniques for Autistic Face Recognition.- A Comprehensive Review of Migration of Big Data Applications to Public Clouds: Current Requirements, Types, Strategies and Case Studies.- Potato Leaf Disease Detection and Classification Using VGG16.- Assessing Student Engagement Levels Using Speech Emotion Recognition.- K-means Clustering and Support Vector Machine for Assamese Dialect Identification.- Emotion recognition in speech using Convolutional Neural Networks (CNNs).- Single Value Neutrosophic Virtual Machine Resources Optimization Route Selection in Multimodal Transport Networks Incorporating Disruption.- A Smart Surveillance System to detect modern gun using YOLOv5 algorithm: A Deep Learning Approach.- A Comparative Analysis of models for Dark Web Data Classification.
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Soft computing;Swarm intelligence;Evolutionary computation;Fuzzy logic;Computational intelligence;Artificial neural network;IJCACI 2023 Proceedings
Conversational Swarm Intelligence (CSI) enhances groupwise deliberation.- Enhancing Biometrics with Auto Encoder: Accurate Finger Detection from Fingerprint Images.- Minimization of Structural Systems Eccentricity by means of the Imperialist Competitive Algorithm.- Towards Early Detection of Neonatal Birth Asphyxia Utilizing Ensemble Machine Learning Approach.- Data Hiding System based on variations in Image Interplation algorithms.- Fault assessment and early performance prediction of PV module using machine learning.- Speeding classification by a deep learning audio analysis system optimized by the reptile search algorithm.- Exploring Sentiments in Text: A Survey of Implicit and Explicit Aspect-Based Sentiment Analysis.- A Comprehensive Review on Prediction of Blood Glucose Level in Type-1 Diabetic Using Machine Learning Techniques.- Effect of Phosphorylation on the Circadian Clock of Drosophila by Analytical and Graph Theory Matrix Approach.- Exploiting Deep Learning Techniques for Autistic Face Recognition.- A Comprehensive Review of Migration of Big Data Applications to Public Clouds: Current Requirements, Types, Strategies and Case Studies.- Potato Leaf Disease Detection and Classification Using VGG16.- Assessing Student Engagement Levels Using Speech Emotion Recognition.- K-means Clustering and Support Vector Machine for Assamese Dialect Identification.- Emotion recognition in speech using Convolutional Neural Networks (CNNs).- Single Value Neutrosophic Virtual Machine Resources Optimization Route Selection in Multimodal Transport Networks Incorporating Disruption.- A Smart Surveillance System to detect modern gun using YOLOv5 algorithm: A Deep Learning Approach.- A Comparative Analysis of models for Dark Web Data Classification.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
