Artificial Intelligence and Knowledge Processing (eBook, PDF)

4th International Conference, AIKP 2024, Johannesburg Business School, Johannesburg, South Africa, August 22-24, 2024, Proceedings
Redaktion: K, Hemachandran; Piuri, Vincenzo; Ong, Kok-Leong; Ade-Ibijola, Abejide; Rege, Manjeet; Rodriguez, Raul Villamarin

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 270
• Erscheinungstermin: 26. Dezember 2024
• Englisch
• ISBN-13: 9783031734779
• Artikelnr.: 72680598

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.