| 0 | -- | 0 | . Special Section on the COVID-19 Pandemic |
| 0 | -- | 0 | . Special Issue on the COVID-19 Pandemic |
| 1 | -- | 4 | George A. Tsihrintzis, Gloria E. Phillips-Wren, Lakhmi C. Jain, Junzo Watada. Intelligent Decision Technologies: An International Journal (IDT) enters its 16th year: A short note from the editors |
| 5 | -- | 8 | . Books Review |
| 9 | -- | 21 | Jun Ye 0001, Shigui Du, Rui Yong. Dombi weighted aggregation operators of neutrosophic Z-numbers for multiple attribute decision making in equipment supplier selection |
| 23 | -- | 28 | Javeria Amin, Muhammad Almas Anjum, Abida Sharif, Muhammad Imran Sharif 0001. A modified classical-quantum model for diabetic foot ulcer classification |
| 29 | -- | 36 | A. V. Satya Swathi, Vedula V. S. S. S. Chakravarthy, M. Vamshi Krishna. Optimizing alternate design parameters for pattern restoration in circular antenna arrays using nature-inspired techniques |
| 37 | -- | 49 | Madhusmita Sahu, Rasmita Dash. A fusion based land cover classification model using remote sensed images |
| 51 | -- | 69 | Santosh Kumar Behera, Rajashree Dash. A novel feature selection technique for enhancing performance of unbalanced text classification problem |
| 71 | -- | 84 | Bhawna Singla, Soham Taneja, Rishika Garg, Preeti Nagrath. Liver disease prediction using machine learning and deep learning: A comparative study |
| 85 | -- | 92 | Dima Alberg, Nina Tessler. Predicting aircraft maintenance timetofailure using the interval gradient regression tree algorithm |
| 93 | -- | 106 | Nikolaos S. Alachiotis, Sotiris Kotsiantis, Evangelos Sakkopoulos, Vassilios S. Verykios. Supervised machine learning models for student performance prediction |
| 111 | -- | 125 | Soumya Raychaudhuri, C. Narendra Babu 0001. On the domain aided performance boosting technique for deep predictive networks: A COVID-19 scenario |
| 127 | -- | 144 | Nikitha Saurabh, Jyothi Shetty. A review of intelligent medical imaging diagnosis for the COVID-19 infection |
| 145 | -- | 158 | J. Susymary, P. Deepalakshmi. Graph analysis and clustering of proteins linked with COVID-19 |
| 159 | -- | 168 | Ali Akbar Sadatasl, M. M. Ershadi, Shahabeddin Sotudian, X. Li, S. Dick. Fuzzy expert systems for prediction of ICU admission in patients with COVID-19 |
| 169 | -- | 180 | Vimal K. Shrivastava, Monoj K. Pradhan. Diagnosis of COVID-19 based on chest X-ray images using pre-trained deep convolutional neural networks |
| 181 | -- | 191 | Lakshmana Rao Kalabarige, Hima Bindu Maringanti. Symptom based COVID-19 test recommendation system using machine learning technique |
| 193 | -- | 203 | Sheetal Rajpal, Manoj Agarwal, Ankit Rajpal, Navin Lakhyani, Arpita Saggar, Naveen Kumar 0001. COV-ELM classifier: An extreme learning machine based identification of COVID-19 using chest X-ray images |
| 205 | -- | 215 | Rakesh Dutta, Mukta Majumder. Attention-based bidirectional LSTM with embedding technique for classification of COVID-19 articles |
| 217 | -- | 229 | Kurt J. Engemann, Holmes E. Miller. Taking comfort in decisions: Implications in a pandemic |
| 231 | -- | 245 | George Varelas, Evangelos Sakkopoulos, Giannis Tzimas. Exploring the role of country social and medical characteristics in patient level mortality in COVID-19 pandemic using Unsupervised Learning |
| 247 | -- | 261 | Ning Chen 0003, Zhige Zhang, Yingchao Ma, An Chen, Xiaohui Yao. Assessment and clustering of temporal disaster risk: Two case studies of China |
| 263 | -- | 276 | Manuel Mora, Fen Wang, Gloria E. Phillips-Wren, Gabriela Lopez-Torres. Architectures of analytics intelligent decision technologies systems (IDTS) for the COVID-19 pandemic |