Artificial Intelligence and Knowledge Processing
Springer International Publishing (Verlag)
978-3-031-68616-0 (ISBN)
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.
.- 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.
| Erscheinungsdatum | 20.08.2024 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XIII, 412 p. 205 illus., 161 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Artificial Intelligence & Knowledge Processing • artificial vision • Deep learning • Intelligent Control • intelligent transportation systems • machine learning • Natural Language Processing • Smart Healthcare Systems • transfer learning |
| ISBN-10 | 3-031-68616-0 / 3031686160 |
| ISBN-13 | 978-3-031-68616-0 / 9783031686160 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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