| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Advances in data-driven computing and intelligent systems/ edited by Swagatam Das ... [et al.]. |
| Reminder of title: |
selected papers from ADCIS 2023. |
| remainder title: |
ADCIS 2022 |
| other author: |
Das, Swagatam. |
| corporate name: |
International Conference on Advances in Data-driven Computing and Intelligent Systems |
| Published: |
Singapore :Springer Nature Singapore : : 2024., |
| Description: |
xix, 551 p. :ill., digital ;24 cm. |
| [NT 15003449]: |
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. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Expert systems (Computer science) - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-981-99-9524-0 |
| ISBN: |
9789819995240 |