Advances in Data-Driven Computing and Intelligent Systems : Selected Papers from ADCIS 2023, Volume 1 (Lecture Notes in Networks and Systems)

Das, Swagatam (EDT)/ Saha, Snehanshu (EDT)/ Coello Coello, Carlos A. (EDT)

Springer Verlag, Singapore（2024/03発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 490 p.
• 言語 ENG
• 商品コード 9789819995233

Full Description

This book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K K Birla Goa Campus, Goa, India, during September 21-23, 2023. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.

Contents

Influences of specimen and fiber sizes on the direct tensile resistance of ultra-high-performance fiber-reinforced concretes.- Conceptual Model for Data Collection and Processing in a Smart Medical Ward.- Parts-of-Speech Tagger in Assamese using LSTM and Bi-LSTM.- Detection of Explicit Lyrics in Hindi Music Using Different Machine Learning Algorithms.- Does the Resilience learning game foster workforce open innovation and sustainability attributes? Empirical evidence from Greek food industry.- Seizure Detection by Analyzing EEG Signals Using Deep Learning Networks.- Enhancing Intelligent Video Surveillance: Deep Learning Approaches for Human Anomalous Behavior Recognition.- GujFormer: A Vision Transformer Based Architecture for Gujarati Handwritten Character Recognition.- Prediction of Soil Properties for Agriculture using Ensemble Learning Techniques/- Classification of organic and recyclable waste using a Deep learning approach.- Machine Learning and its Application in Food Safety.-ISO/IEC 27001 Standard: Analytical and Comparative Overview.- Hybrid Deep Learning based Potato and Tomato Leaf Disease Classification.- Anti-Forensic Analysis for Image Splicing Detection through Advanced Filters.- Classification and prediction of vibration natural frequencies of a circular plate using Chladni patterns and deep learning techniques.- Multi-Sensor Data Fusion and Deep Machine Learning Models based Mental Stress Detection System.- Segmentation-based Transformer Network for Automated Skin Disease Detection.