Artificial Intelligence and Knowledge Processing 4th International Conference, AIKP 2024, Johannesburg Business School, Johannesburg, South Africa, August 22–24, 2024, Proceedings

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.

.- 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.