Abawajy / Tavares / Kharb Information, Communication and Computing Technology

8th International Conference, ICICCT 2023, New Delhi, India, May 27, 2023, Revised Selected Papers
Erscheinungsjahr 2023
ISBN: 978-3-031-43838-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 1841, 196 Seiten, eBook

Reihe: Communications in Computer and Information Science

This book constitutes the refereed proceedings of the 8th International Conference on Information, Communication and Computing Technology, ICICCT 2023, held in New Delhi, India, during May 27, 2023.The 14 full papers included in this book were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: global platform for researchers, scientists and practitioners from both academia and industry to present their research and development activities in all the aspects of Pattern Recognition and computational Intelligence techniques.

Zielgruppe

Research

Autoren/Hrsg.

Abawajy, Jemal

Tavares, João Manuel R.S.

Kharb, Latika

Chahal, Deepak

Nassif, Ali Bou

Inhaltsverzeichnis

Using BERT for Swiss German Sentence Prediction.- An ARIMA and XGBoost Model utilized for forecasting Municipal Solid Waste generation.- An Empirical Study of Intrusion Detection By Combining Clustering and Classification Methods.- Personalized Movie Recommendation Prediction Using Reinforcement Learning.- An Ensemble And Deep Neural Network Based Approaches For Automated Sentiment Analysis.- In-Store Product Placement using LiDAR-Assisted Discrete PSO Algorithm.- Deep Residual Variational Autoencoder for Image Super-Resolution.- Hybrid HAN Model to Investigate Depression from Twitter Posts.- Transfer Learning-Based Encoder-Decoder Model For Skin Lesion Segmentation.- A System For Liver Tumor Detection.- High Speed and Efficient Reconfigurable Histogram Equalisation Architecture for Image Contrast Enhancement.- A Practical Use For AI-Generated Images.- Homomorphic Encryption Schemesusing Nested Matrices.- A Deep Learning Model for Heterogeneous Dataset Analysis - Application to Winter Wheat Crop Yield Prediction.