This book constitutes the 4th International Conference on Artificial Intelligence and Knowledge Processing, AIKP 2024, held in Johannesburg Business School, Johannesburg, South Africa, during August 22-24, 2024. The 18 full papers included in this book were carefully reviewed and selected from 76 submissions. This AIKP 2024 topics covered in these proceedings; including machine learning; natural language processing; computer vision; robotics; data mining; quantum AI; and cognitive computing.
This book constitutes the 4th International Conference on Artificial Intelligence and Knowledge Processing, AIKP 2024, held in Johannesburg Business School, Johannesburg, South Africa, during August 22-24, 2024.
The 18 full papers included in this book were carefully reviewed and selected from 76 submissions. This AIKP 2024 topics covered in these proceedings; including machine learning; natural language processing; computer vision; robotics; data mining; quantum AI; and cognitive computing.
Produktdetails
Produktdetails
Communications in Computer and Information Science 2228
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Inhaltsangabe
.- Enhancing Maize Crop Health: Deep Learning Approach for Disease Detection and Classification Using Leaf Images. .- AI Ethics in Practice: Exploring Racial and Ethnic Stereotypes in Synthetic Resumes Written by ChatGPT. .- Deciphering Excellence in Hospitality: A Study on India's Premier Hotels using Natural Language Processing. .- Decoding Student Feedback in Engineering Education: A Latent Dirichlet Allocation and PyLDAvis Approach. .- Real Time Traffic Management by Optimizing Level of Service. .- FGA-Net: Feature-Gated Attention for Glioma Brain Tumor Segmentation in volumetric MRI images. .- Empowering Breast Cancer Detection: A Novel Hybrid Transfer Learning Approach with Aquila Optimizer. .- Predictive Analytics in Weather Forecasting Using Machine Learning and Deep Learning. .- Classification of Brain Tumors from MRI images using Novel CNN model and Optimization Approaches. .- Dual Model Dynamics: Enhancing Depression Prediction through the Integrated Use of Convolutional Neural Networks and Support Vector Machines in Data-Driven Methods. .- Quantum Simulation of 1D and 2D Lattice-based Magnetic Quantum Systems Using Heisenberg Model via Variational Quantum Eigensolver. .- Topological Quantum Computing for Engineers. .- Traffic Forecasting with Spatio-Temporal Graph Neural Networks. .- A Deep Learning-Based Novel RNN-BiLSTM Architecture for Efficient Threat Detection in IoT Ecosystem. .- Cyber-attack Detection in Healthcare Systems based on Modified -Recurrent Neural Network Approach. .- A Comparative Analysis of Aggregation Methods in Federated Learning on MNIST. .- Hybrid Feature Approach for Enhancing Zero-Shot Image Classification. .- Abusive Comment Detection from Bengali-English Code-mixed Social Media Texts using Ensemble of Deep Learning.
.- Enhancing Maize Crop Health: Deep Learning Approach for Disease Detection and Classification Using Leaf Images. .- AI Ethics in Practice: Exploring Racial and Ethnic Stereotypes in Synthetic Resumes Written by ChatGPT. .- Deciphering Excellence in Hospitality: A Study on India's Premier Hotels using Natural Language Processing. .- Decoding Student Feedback in Engineering Education: A Latent Dirichlet Allocation and PyLDAvis Approach. .- Real Time Traffic Management by Optimizing Level of Service. .- FGA-Net: Feature-Gated Attention for Glioma Brain Tumor Segmentation in volumetric MRI images. .- Empowering Breast Cancer Detection: A Novel Hybrid Transfer Learning Approach with Aquila Optimizer. .- Predictive Analytics in Weather Forecasting Using Machine Learning and Deep Learning. .- Classification of Brain Tumors from MRI images using Novel CNN model and Optimization Approaches. .- Dual Model Dynamics: Enhancing Depression Prediction through the Integrated Use of Convolutional Neural Networks and Support Vector Machines in Data-Driven Methods. .- Quantum Simulation of 1D and 2D Lattice-based Magnetic Quantum Systems Using Heisenberg Model via Variational Quantum Eigensolver. .- Topological Quantum Computing for Engineers. .- Traffic Forecasting with Spatio-Temporal Graph Neural Networks. .- A Deep Learning-Based Novel RNN-BiLSTM Architecture for Efficient Threat Detection in IoT Ecosystem. .- Cyber-attack Detection in Healthcare Systems based on Modified -Recurrent Neural Network Approach. .- A Comparative Analysis of Aggregation Methods in Federated Learning on MNIST. .- Hybrid Feature Approach for Enhancing Zero-Shot Image Classification. .- Abusive Comment Detection from Bengali-English Code-mixed Social Media Texts using Ensemble of Deep Learning.
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