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.
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.
