Artificial Intelligence and Knowledge Processing (eBook, PDF)

Third International Conference, AIKP 2023, Hyderabad, India, October 6-8, 2023, Revised Selected Papers
Redaktion: K, Hemachandran; Ong, Kok-Leong; Xu, Guandong; Piuri, Vincenzo; Rege, Manjeet; Rodriguez, Raul Villamarin

• Format: PDF

Produktbeschreibung

This book constitutes the Revised Selected Papers of the Third International Conference on Artificial Intelligence and Knowledge Processing, AIKP 2023, held in Hyderabad, India, during October 6-8, 2023.

The 20 full papers and 8 short papers were carefully selected from 118 submissions. The research areas include: Artificial Intelligence and Machine Learning; Deep Learning and Computer Vision; Natural Language Processing; Intelligent Control.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 412
• Erscheinungstermin: 19. August 2024
• Englisch
• ISBN-13: 9783031686177
• Artikelnr.: 72241919

Inhaltsangabe

.- Artificial Intelligence and Machine Learning.

.- Dynamic Inventory Management using AI: A Case on Data Robot.

.- Feature Extraction Using Naive Bayes and Logistic Regression for Survival of the COPD Patients.

.- How do Senior Secondary Level Students and their Teacher Perceive Artificial Intelligence and its Implementation? An Exploratory Study.

.- Anomalous Sound Pattern Detection for Machine Health Monitoring.

.- Performance Evaluation of various Machine Learning Algorithms for Lung Cancer Prediction using Demographic Data.

.- Enhancing Stock Portfolio Optimization Based on a Hybrid Approach using Artificial Bee Colony Optimization and Firefly Optimization.

.- Enhancing Yarn Quality in the Cotton Industry: AI-Based NEP Detection for Improved Manufacturing Processes.

.- Deep Learning and Computer Vision.

.- Breast Cancer Diagnosis from Ultrasonic Image and Histopathology Image Using Deep Learning Approach.

.- Advancing Time Series Forecasting: LSTM Networks with Multiple Attention Mechanisms.

.- Trajectory Tracking and Navigation Model for Autonomous Vehicles Using Reinforcement Learning.

.- Quantum Graph Neural Network-based Protein-ligand Classification.

.- Comparative Analysis on Speech Driven Gesture Generation.

.- Enhancing Deep Learning: Leveraging Skip Connections and Memory Efficiency.

.- Quality-based Decision-Making using Image Processing for Supply Chain Management.

.- Enhancing Endometrial Tumor Detection: Early Diagnosis with Advanced Vision Transformer Architecture.

.- Sweet-Sight: A Deep Convolutional Neural Network Approach for Automatic Categorization of Bengal Sweets.

.- A systematic Review: How Computer Vision is Transforming Agriculture in Economic Growth.

.- Automatic Conversion of Broadcasted Football Match Recordings to its 2D Top View.

.- Measuring the Vehicle-in-Motion, Density and Allocation of Traffic Signal using Transfer Learning.

.- Ensemble Model of VGG16, ResNet50, and DenseNet121 for Human Identification through Gait Features.

.- Natural Language Processing.

.- Performance of Sentiment Analysis APIs on Political Opinion Polling.

.- Summarization of Telugu Text Discourses.

.- Summarizing Student's Text-only Answer Sheet using SBERT and K-Means Clustering and Evaluating it using Semantic Search.

.- Measuring Business Model Disclosure Quality in Integrated Reports using NLP Techniques.

.- Machine Learning and NLP Approach to Predict Hospitalization upon Adverse Drug Reaction Symptoms of Covid-19 Vaccine Administration.

.- Crowd-Sourced Supervisor for Automatic Invigilation of Online Assessment.

.- Advanced Self-Driving Car Using CNN: Udacity Simulator.

.- Efficient VQE Approach for Accurate Simulations on the Kagome Lattice.