紀錄類型: |
書目-電子資源
: Monograph/item
|
正題名/作者: |
Advances in data-driven computing and intelligent systems/ edited by Swagatam Das ... [et al.]. |
其他題名: |
selected papers from ADCIS 2023. |
其他題名: |
ADCIS 2023 |
其他作者: |
Das, Swagatam. |
團體作者: |
International Conference on Advances in Data-driven Computing and Intelligent Systems |
出版者: |
Singapore :Springer Nature Singapore : : 2024., |
面頁冊數: |
xviii, 538 p. :ill., digital ;24 cm. |
內容註: |
Deep learning models for classification of remotely sensed data of sugarcane -- Detection and Analysis of Wormhole Attacks in the AODV Routing Protocol with IEEE 802.11p for the Internet of Vehicles -- A Systematic Review of NLP Applications in Clinical Healthcare: Advancement and Challenges -- An Investigational Analysis of Automatic Speech Recognition on Deep Neural Networks and Gated Recurrent Unit Model -- Matched Filter and Kirsch's Template based approach for Retinal Vessel Segmentation -- Prediction of abnormality in kidney function using classification techniques and fuzzy systems -- Implementation of Parallel Applications on the Hypercube Topology by Using Multistage Network -- Integrating Artificial Intelligence for Adaptive Decision-Making in Complex System -- Qualitative Research Reasoning on Dementia Fore-cast using Machine Learning Techniques -- Implementation of Vision Transformers on SPECT Heart Dataset: A Comparative Study -- CSR U-Net: A Novel Approach for Enhanced Skin Cancer Lesion Image Segmentation -- Automatic Detection and Classification System for Mesothelioma Cancer using Deep Learning Models with HPO -- A systematic literature survey on IoT in Healthcare: Security and Privacy Threats -- Hybrid Deep Learning Framework for Glaucoma Detection Using Fundus Images -- Sunflower Optimization with Elite Learning Strategy (SFO-ELS) for Antenna Selection in Massive MIMO Sub Array Switching Architecture -- Machine Learning Models for Human Activity Recognition: A Comparative Study. |
Contained By: |
Springer Nature eBook |
標題: |
Expert systems (Computer science) - Congresses. - |
電子資源: |
https://doi.org/10.1007/978-981-99-9521-9 |
ISBN: |
9789819995219 |