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Artificial Intelligence and Knowledge Processing: Third International Conference, AIKP 2023, Hyderabad, India, October 68, 2023, Revised Selected Papers 2024 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 412 pages, kõrgus x laius: 235x155 mm, 161 Illustrations, color; 44 Illustrations, black and white; XIII, 412 p. 205 illus., 161 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2127
  • Ilmumisaeg: 20-Aug-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031686160
  • ISBN-13: 9783031686160
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  • Formaat: Paperback / softback, 412 pages, kõrgus x laius: 235x155 mm, 161 Illustrations, color; 44 Illustrations, black and white; XIII, 412 p. 205 illus., 161 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2127
  • Ilmumisaeg: 20-Aug-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031686160
  • ISBN-13: 9783031686160
Teised raamatud teemal:
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 68, 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 Students 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.