Ausgabe 3/2023
Inhalt (11 Artikel)
A Hybrid Deep Neural Approach for Segmenting the COVID Affection Area from the Lungs X-Ray Images
T. Vijayanandh, A. Shenbagavalli
Performance Evaluation of Learning Models for the Prognosis of COVID-19
Baijnath Kaushik, Akshma Chadha, Reya Sharma
An Optimized Scaffolding Algorithm for Unbalanced Sequencing
Wufei Zhu, Ying Liu, Ya Zhao, Xingyu Liao, Mingxu Tong, Xiangyu Liao
Stacked Generalization Architecture for Predicting Publisher Behaviour from Highly Imbalanced User-Click Data Set for Click Fraud Detection
Deepti Sisodia, Dilip Singh Sisodia
Early Spam Detection Using Time-Based Cache in Graph database
Sakshi Srivastava, Supriya Agrahari, Anil Kumar Singh
A Novel Model to Predict the Effects of Enhanced Students’ Computer Interaction on Their Health in COVID-19 Pandemics
Nidhi Agarwal, Sachi Nandan Mohanty, Shweta Sankhwar, Jatindra Kumar Dash
Data Science in Healthcare Monitoring Under Covid-19 Detection by Extended Hybrid Leader-Based Compressed Neural Network
Asha Latha Thandu, Vijaya Saradhi Thommandru, Pradeepini Gera
Structured Matrices and Their Application in Neural Networks: A Survey
- Open Access
Matthias Kissel, Klaus Diepold
Ontology-Based Similarity Computation of Two Sentences Using Word-Net Database
Atul Gupta, Kalpana Sharma, Krishan Kumar Goyal