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Advanced Computing 13th International Conference, IACC 2023, Kolhapur, India, December 15-16, 2023, Revised Selected Papers, Part I
Title
Advanced Computing [electronic resource] : 13th International Conference, IACC 2023, Kolhapur, India, December 15-16, 2023, Revised Selected Papers, Part I / edited by Deepak Garg, Joel J. P. C. Rodrigues, Suneet Kumar Gupta, Xiaochun Cheng, Pushpender Sarao, Govind Singh Patel.
ISBN
9783031567001
Edition
1st ed. 2024.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Physical Description
1 online resource (XXVIII, 504 p.) 262 illus., 206 illus. in color.
Local Notes
Access is available to the Yale community.
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Access restricted by licensing agreement.
Summary
The two-volume set CCIS 2053 and 2054 constitutes the refereed post-conference proceedings of the 13th International Advanced Computing Conference, IACC 2023, held in Kolhapur, India, during December 15-16, 2023. The 66 full papers and 6 short papers presented in these proceedings were carefully reviewed and selected from 425 submissions. The papers are organized in the following topical sections: Volume I: The AI renaissance: a new era of human-machine collaboration; application of recurrent neural network in natural language processing, AI content detection and time series data analysis; unveiling the next frontier of AI advancement. Volume II: Agricultural resilience and disaster management for sustainable harvest; disease and abnormalities detection using ML and IOT; application of deep learning in healthcare; cancer detection using AI.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
April 10, 2024
Series
Communications in Computer and Information Science, 2053
Contents
The AI Renaissance: A New Era of Human-Machine Collaboration
Age and Gender Estimation through Dental X-Ray Analysis
Driver Drowsiness Detection System Using Machine Learning Techniques
Facial Expression Recognition: Detection and Tracking
Analysis and Implementation of Driver Drowsiness, Distraction, and Detection System
Object Detection and Depth Estimation using Deep Learning
Optimizing Biomass Forecasting & Supply Chain: An Integrated Modelling Approach
Prediction of Deposition Parameters in Manufacturing of Ni-based Coating using ANN
Decision Model for Cost Control of Transmission and Transformation Projects Considering Uncertainty: a GAN Algorithm
Optimization Model of Construction Period in Special Construction Scenarios of Power Transmission and Transformation Project Based on Back Propagation Neural Network
Vision-Based Human Activity Recognition Using CNN & LSTM Architecture
ML Based Rupture Strength Assessment in Cementitious Materials
Investigation of Power Consumption of Refrigeration Model and its Exploratory Data Analysis (EDA) by using Machine Learning (ML) Algorithm
Prediction of Emission Characteristics of Spark Ignition Engines with Premium Level Gasoline-Ethanol-Alkane Blends using Machine Learning
Depression Detection Using Distribution of Microstructures from Actigraph Information
ELECTRA: A Comprehensive Ecosystem for Electric Vehicles and Intelligent Transportation using YOLO
Application of Recurrent Neural Network in Natural Language Processing, AI Content Detection and Time Series Data Analysis
Story Generation using GAN, RNN & LSTM
Analysis of Effectiveness of Indian Political Campaigns on Twitter
Voice Enabled Form Filling Using Hidden Markov Models
Bayesian Network Model based Classifiers are used in an Intelligent E-learning System
Where You Think Stock Takes with the Linear Regression Model
Analysis of Parent with Fine Tuned Large Language Model
AI Content Detection
Developing an Efficient Toxic Comment Detector using Machine Learning Techniques
Handwritten English Alphabets Recognition System
Stock Price Prediction using Time Series
Multi-Featured Speech Emotion Recognition Using Extended Convolutional Neural Network
Large Language Models for Search Engine Optimization in E-commerce
Handwritten Equation Solver: A Game-Changer in Mathematical Problem Solving
Unveiling the Next Frontier of AI Advancement
Advancing Image Classification through Self-Teachable Machine Models and Transfer Learning
Analysis Effect of K Values Used in K-Fold Cross Validation for Enhancing Performance of Machine Learning Model with Decision Tree
The Forward-Forward Algorithm: Analysis and Discussion
Texture Feature Extraction Using Local Optimal Oriented Pattern (LOOP)
Feature Fusion and Early Prediction of Mental health using Hybrid Squeeze-MobileNet
Exploring the Usability of Quantum Machine Learning for EEG Signal Classification
Adaptive Coronavirus Mask Protection Algorithm Enabled Deep Learning for Brain Tumor Detection and Classification
Enhancing Hex Strategy: AI Based Two-Distance Pruning Approach with Pattern-Enhanced Alpha-Beta Search
IRBM: Incremental Restricted Boltzmann Machines for Concept Drift Detection and Adaption in Evolving Data Streams
Revisiting Class Imbalance: A Generalized Notion for Oversampling
Unveiling Efficiency: Loan Application Process Optimization Using PM4Py Tool.
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