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Artificial Intelligence and Knowledge Processing: Third International Conference, AIKP 2023, Hyderabad, India, October 68, 2023, Revised Selected Pap [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  3031686160
  • ISBN-10:  3031686160
  • ISBN-13:  9783031686160
  • ISBN-13:  9783031686160
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  3031686160-11-SPRI
  • SKU:  3031686160-11-SPRI
  • Pages:  412
  • Pages:  412
  • Item ID: 106792323
  • List Price: $99.99
  • Seller: ShopSpell
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  • Delivery by: Oct 06 to Oct 08
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.

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 l“¯

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