Garg / Rodrigues / Gupta Advanced Computing

13th International Conference, IACC 2023, Kolhapur, India, December 15–16, 2023, Revised Selected Papers, Part I
Erscheinungsjahr 2024
ISBN: 978-3-031-56700-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 2053, 504 Seiten, eBook

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Garg, Deepak

Rodrigues, Joel J. P. C.

Gupta, Suneet Kumar

Cheng, Xiaochun

Sarao, Pushpender

Patel, Govind Singh

Inhaltsverzeichnis

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.