Advances in computing and data scien...
ICACDS (Conference) (2023 :)

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  • Advances in computing and data sciences = 7th International Conference, ICACDS 2023, Kolkata, India, April 27-28, 2023 : revised selected papers /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Advances in computing and data sciences/ edited by Mayank Singh ... [et al.].
    其他題名: 7th International Conference, ICACDS 2023, Kolkata, India, April 27-28, 2023 : revised selected papers /
    其他題名: ICACDS 2023
    其他作者: Singh, Mayank.
    團體作者: ICACDS (Conference)
    出版者: Cham :Springer Nature Switzerland : : 2023.,
    面頁冊數: xvii, 595 p. :ill. (chiefly color), digital ;24 cm.
    內容註: Text based Traffic Signboard Detection using YOLO v7 Architecture -- Energy Preserving ABE-based Data Security Scheme for Fog Computing -- An Approach for Effective Object Detection -- An Algorithm for solving two variable linear diophantine equations -- Deep Watcher: A Surveillance System using Deep Learning for the COVID-19 Pandemic -- Multiple linear regression based analysis of weather data for precipitation and visibility prediction -- Optimal and Event Driven Adaptive Fault Diagnosis for Arbitrary Network -- Analysis of Routing in IoT -- Autism children Behavioural Identification from Facial Regions through Thermal Image interpretations -- Synthesis of Elementary Cellular Automata for Targeted Cache Applications -- Optimal Perfect Phylogeny using ILP and Continuous Approximations -- A Novel Method for Near-Duplicate Image Detection Using Global Features -- VSMAS2HN: Verifiably Secure Mutual Authentication Scheme for Smart Healthcare Network -- Optimal KAZE and AKAZE Features for Facial Similarity Matching -- Modified InceptionV3 using Soft Attention for the Grading of Diabetic Retinopathy -- Comprehensive Study of Cyber Security in AI Based Smart Grid -- Sentiment classification of Diabetes-related tweets using transformer-based deep learning approach -- Assessment and prediction of a cyclonic event: A Deep learning model -- Technology enabled Self-directed learning: A review and framework -- Detecting Toxic comments using FastText, CNN, and LSTM models -- UEye: Insights on User Interface Design using Eye Movement Visualizations -- Code Mixed Information Retrieval for Gujarati Script News Articles -- Plant Disease classification using VGG-19 based Faster-RCNN -- Classification of Real and Deepfakes visual samples with pre-trained deep learning models -- Deep Learning based Speech Synthesis with Emotion Overlay -- An Ensemble Deep Learning Algorithm to Predict PM2.5 Concentration Levels in Bengaluru's Atmosphere -- Deep learning model based on a Transformers network for sentiment analysis using NLP in sports worldwide -- An Effective Framework for Sentiment Analysis using RNN and LSTM-based Deep Learning Approaches -- Spatial Domain Method for Image Analysis: A Grey-Level Computation Approach -- Crop yield prediction for smart agriculture with climatic parameters using Random Forest -- Implementation of XGBoost Regression for Calories Burnt Prediction using R -- Text Data Augmentation Using Generative Adversarial Networks, Back Translation and EDA -- Machine Learning-Based Temperature Monitoring and Prediction -- Pathrank Algorithm: Ranking Proteins in Mycobacterium tuberculosis and Human PPI Weighted Bipartite Graph Network -- Circ RNA based Classification of SARS CoV-2, SARS CoV-1 and MERS-CoV using Machine Learning -- Ensemble Approach to Classify Spam SMS from -- A Scientific Study for Breast Cancer Detection Using Various Machine Learning Algorithms -- YOLO based segmentation and CNN based classification Framework for epithelial and pus cell detection -- Employing a Novel Metaheuristic Algorithm to Optimize an LSTM Model: A Case Study of Stock Market Prediction -- Driver Dozy Discernment using Neural Networks with SVM Variants -- An Efficient (MFFPA-2) Multiple Fuzzy Frequent Patterns Mining with Adjacency matrix and Type-2 Member function -- Student Personality, Motivation and Sustainability of Technology Enhanced Learning: A SEM-based Approach -- Spear Phishing Using Machine Learning -- An Interpretable Deep Learning model for Skin Lesion Classification -- Unsupervised Ambient Vibration-Based Feature Extraction for Structural Damage Detection -- A New Grey Correlational Compromise Ranking Approach for Portfolio Selection for Investment in ESG Stocks -- Decision Tree based Test Case Generation using Story Board and Natural Language Processing.
    Contained By: Springer Nature eBook
    標題: Computer science - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-37940-6
    ISBN: 9783031379406
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