13th International Conference, IACC 2023, Kolhapur, India, December 15–16, 2023, Revised Selected Papers, Part I Garg, Deepak. editor. edt http://id.loc.gov/vocabulary/relators/edt Rodrigues, Joel J. P. C. editor. edt http://id.loc.gov/vocabulary/relators/edt Gupta, Suneet Kumar. editor. edt http://id.loc.gov/vocabulary/relators/edt Cheng, Xiaochun. editor. edt http://id.loc.gov/vocabulary/relators/edt Sarao, Pushpender. editor. edt http://id.loc.gov/vocabulary/relators/edt Patel, Govind Singh. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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access XXVIII, 504 p. 262 illus., 206 illus. in color. online resource. 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. 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. edited by Deepak Garg, Joel J. P. C. Rodrigues, Suneet Kumar Gupta, Xiaochun Cheng, Pushpender Sarao, Govind Singh Patel. Artificial intelligence Computer engineering Computer networks  Application software Education Data processing Image processing Digital techniques Computer vision Artificial Intelligence Computer Engineering and Networks Computer and Information Systems Applications Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics Q334-342 TA347.A78 9783031567001 https://doi.org/10.1007/978-3-031-56700-1 https://doi.org/10.1007/978-3-031-56700-1 240325 20251030111745.0 978-3-031-56700-1