Applied Computational Technologies

​Part 1: Applied Computations using Deep and Machine Learning.- Classification of Traffic Signs Using Deep Learning-based Approach for Smart Cities.- Sentimental analysis of twitter data on online learning during unlock phase of COVID-19.- Bonafide Satellite Landslide Image Detection Using Deep Learning.- Deep Learning Approach for Predicting the Price of Cryptocurrencies.- Deep Learning and Super-hybrid Textual Feature based Multi-category Thematic Classifier for Punjabi Poetry.- Attention based Deep Learning Techniques for Question Classification in Question Answering Systems.- Optimized Fuzzy Hypersphere Neural Network with Online Adaptation capability.- Built-Up Area Extraction on Multispectral Satellite Data using Simple CNN.- Framework of CNN Architecture for Fashion Image Classification.- A novel CNN Framework for Early-Stage Detection of Blindness in Diabetic Patients.- Design and Development of Loan Predictor Using Machine Learning.- An Analysis of document summarization for educational data classification using NLP with machine learning techniques.- Detection of Disease in Plants with Android Integration using Machine Learning.- Analysis of Post-flood Impacts on Sentinel-2 Data Using Non-Parametric Machine Learning Classifiers: A Case Study from Bihar Floods.- Performance Analysis of Quantitative Software Vulnerability Prioritization Techniques.- Accessibility and Performance Evaluation of Healthcare and E-Learning Sites in India: A Comparative Study Using TAW and GTMetrix.- Performance analysis of Cardiovascular diseases using Machine Learning.- A Deep Learning Paradigm for Computer Aided Diagnosis of Emphysema from Lung HRCT Images.- Deep learning Convolution Neural Network for Tomato Leaves Disease Detection by Inception.- Sarcasm Detection in Hindi-English Code-mixed Tweets using Machine Learning Algorithms.- Efficient Automated Disease Diagnosis Using Machine Learning Models.- Plant Disease Classification using Transfer Learning.- Performance Assessmentfor Heart-Disease Prediction using Machine Learning Algorithms.- Human Behavior Analysis: Applications and Machine Learning Algorithms.- Advancement of deep learning and its substantial impact on the diagnosis of COVID-19 cases.- Apple Leaf Disease Detection and Classification using CNN Models.- Part 2: Intelligent systems and Machine vision.- Textural and Statistical Feature Extraction from segmented Hard Exudates for Diabetic Retinopathy Classification.- Detection of Epileptic using Wavelet packetsub-bands from EEG Signals.- A New Paradigm for Healthcare System Using Emerging Technologies.- Brain Tumour Detection Using UNet based Semantic Segmentation Scheme.- Alzheimer Disease Prediction using Learning Algorithms.- Digital Learning in developing Asia in the COVID-19 pandemic: A Statistical Approach.- Real-Time Detection of Face Mask and Social Distancing.- Porn Image Forensics: Image Classification, Forgery Detection and Localization.- Parallel Image Processing for Liquid Level Detection.- Single Image Dehazing Techniques for Different Types of Hazy Images.- Predicting 3D Model of Images for Augmented Reality Applications.- Region of Interest using Viola-Jones Algorithm for Video Steganography.- Face Expression Recognition using SVM and KNN classifier with HOG features.- Computer Vision Analysis of BRIEF and ORB Feature Detection Algorithms.- The state of the art Text Summarization Techniques.- Ensemble Mechanism for Decision Support Information System for Water Source Evaluation and Management in Narava Basin, Visakhapatnam.- Part 3: Applied Information Processing Techniques.- Analysis of Feature Selection Methods for UKM-IDS20 Dataset.- An Intelligent Recommendation System using Market Segmentation.- Development and Implementation of Tweet Stream Summarization Technique for Pernicious Tweet Detection.- State of the art on Twitter Spam Detection.- VM Anti-Forensics: Detecting File Wiping usingFile System Journals.- SelectGoREATech: Selection of Goal-Or