| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A fusion based land cover classification model using remote sensed images
|
Sahu, Madhusmita
|
|
|
16 |
1 |
p. 37-49
|
article
|
| 2 |
A modified classical-quantum model for diabetic foot ulcer classification
|
Amin, Javeria
|
|
|
16 |
1 |
p. 23-28
|
article
|
| 3 |
A novel feature selection technique for enhancing performance of unbalanced text classification problem
|
Behera, Santosh Kumar
|
|
|
16 |
1 |
p. 51-69
|
article
|
| 4 |
Architectures of analytics intelligent decision technologies systems (IDTS) for the COVID-19 pandemic
|
Mora, Manuel
|
|
|
16 |
1 |
p. 263-276
|
article
|
| 5 |
A review of intelligent medical imaging diagnosis for the COVID-19 infection
|
Saurabh, Nikitha
|
|
|
16 |
1 |
p. 127-144
|
article
|
| 6 |
Assessment and clustering of temporal disaster risk: Two case studies of China
|
Chen, Ning
|
|
|
16 |
1 |
p. 247-261
|
article
|
| 7 |
Attention-based bidirectional LSTM with embedding technique for classification of COVID-19 articles
|
Dutta, Rakesh
|
|
|
16 |
1 |
p. 205-215
|
article
|
| 8 |
Books Review
|
|
|
|
16 |
1 |
p. 5-8
|
article
|
| 9 |
COV-ELM classifier: An extreme learning machine based identification of COVID-19 using chest X-ray images
|
Rajpal, Sheetal
|
|
|
16 |
1 |
p. 193-203
|
article
|
| 10 |
Diagnosis of COVID-19 based on chest X-ray images using pre-trained deep convolutional neural networks
|
Shrivastava, Vimal K.
|
|
|
16 |
1 |
p. 169-180
|
article
|
| 11 |
Dombi weighted aggregation operators of neutrosophic Z-numbers for multiple attribute decision making in equipment supplier selection
|
Ye, Jun
|
|
|
16 |
1 |
p. 9-21
|
article
|
| 12 |
Exploring the role of country social and medical characteristics in patient level mortality in COVID-19 pandemic using Unsupervised Learning
|
Varelas, George
|
|
|
16 |
1 |
p. 231-245
|
article
|
| 13 |
Fuzzy expert systems for prediction of ICU admission in patients with COVID-19
|
Sadat Asl, A.A.
|
|
|
16 |
1 |
p. 159-168
|
article
|
| 14 |
Graph analysis and clustering of proteins linked with COVID-19
|
Susymary, J.
|
|
|
16 |
1 |
p. 145-158
|
article
|
| 15 |
Intelligent Decision Technologies: An International Journal (IDT) enters its 16th year: A short note from the editors
|
Tsihrintzis, George A.
|
|
|
16 |
1 |
p. 1-4
|
article
|
| 16 |
Liver disease prediction using machine learning and deep learning: A comparative study
|
Singla, Bhawna
|
|
|
16 |
1 |
p. 71-84
|
article
|
| 17 |
On the domain aided performance boosting technique for deep predictive networks: A COVID-19 scenario
|
Raychaudhuri, Soumya Jyoti
|
|
|
16 |
1 |
p. 111-125
|
article
|
| 18 |
Optimizing alternate design parameters for pattern restoration in circular antenna arrays using nature-inspired techniques
|
Swathi, A.V. Satya
|
|
|
16 |
1 |
p. 29-36
|
article
|
| 19 |
Predicting aircraft maintenance timetofailure using the interval gradient regression tree algorithm
|
Alberg, Dima
|
|
|
16 |
1 |
p. 85-92
|
article
|
| 20 |
Special Issue on the COVID-19 Pandemic
|
Phillips-Wren, Gloria
|
|
|
16 |
1 |
p. 109
|
article
|
| 21 |
Special Section on the COVID-19 Pandemic
|
|
|
|
16 |
1 |
p. 107
|
article
|
| 22 |
Supervised machine learning models for student performance prediction
|
Alachiotis, Nikolaos S.
|
|
|
16 |
1 |
p. 93-106
|
article
|
| 23 |
Symptom based COVID-19 test recommendation system using machine learning technique
|
Kalabarige, Lakshmana Rao
|
|
|
16 |
1 |
p. 181-191
|
article
|
| 24 |
Taking comfort in decisions: Implications in a pandemic
|
Engemann, Kurt J.
|
|
|
16 |
1 |
p. 217-229
|
article
|
Journal description