| |
original article |
Journal |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
IET Image Processing |
2026―Apr―22 |
Augmented Artificial Intelligence Based Diagnosis of COVID-19 With Synthesised Computed Tomography Images |
SureshKumar M, Varalakshmi Perumal, Vasumathi Narayanan, Sakthi Jaya Sundar Rajasekar |
| 2 |
[GO] |
Healthcare Technology Letters |
2026―Apr―07 |
The Role of National Cultural Dimensions in Pandemic Outcomes: A Cross-Sectional Study Across 90 Countries During the COVID-19 Pandemic |
Han-Hsin Chou, Ru-Shuo Sheu, Chin-I. Chiang |
| 3 |
[GO] |
Healthcare Technology Letters |
2025―Dec―02 |
COVID-19 Persian Misinformation Detection on Instagram: A Comparative Analysis of Machine Learning and Deep Learning Methods |
Mohammad Javad Shayegan, Elahe Moradi Pirbalouti, Mo Saraee |
| 4 |
[GO] |
IET Conference Proceedings |
2025―Apr―29 |
Leveraging AI and deep learning for enhanced pandemic mitigation: a bioinformatics approach |
Geeta Tiwari, Veena Yadav, Shital R. Shegokar, Appoorva Bansal |
| 5 |
[GO] |
IET Conference Proceedings |
2025―Apr―16 |
FPGA-based implementation of CNN for Covid-19 identification |
Suardi Kaharuddin, Syed S. N. Alhady, Ammar H. Roslli, Mohd N. Mamat, Mohamad N. Abdullah |
| 6 |
[GO] |
IET Cyber-Physical Systems Theory & Applications |
2025―Apr―15 |
Cyber Risk Identification and Classification-Based Load Forecasting Tool for Pandemic Situations |
Kuldeep Singh Shivran, Kyle Swire-Thompson, Neetesh Saxena, Sarasij Das |
| 7 |
[GO] |
IET Conference Proceedings |
2025―Mar―31 |
X-Pand
: explainable random forest with feature selection for COVID-19 like pandemics in smart cities |
Pronaya Bhattacharya, Ashwin Verma, Ashwani Kumar, Tamoghna Mukherjee, Bharat Bhushan, Pushan Kumar Dutta |
| 8 |
[GO] |
IET Conference Proceedings |
2025―Mar―10 |
Enhancing COVID-19 recognition in low-quality chest X-rays using a fast R-CNN and simple R-CNN |
Ali Saadoon Ahmed, Arshad M. Khaleel |
| 9 |
[GO] |
IET Image Processing |
2025―Jan―31 |
From pixels to prognosis: Attention-CNN model for COVID-19 diagnosis using chest CT images |
Suba Suseela, Nita Parekh |
| 10 |
[GO] |
IET Conference Proceedings |
2025―Jan―24 |
MoB-NetV2-RVFL: diagnosis of coronavirus (COVID-19) from CT images via a deep learning architecture |
Xiaoyu Tang, Lin Chai, Chengze Song |
| 11 |
[GO] |
IET Conference Proceedings |
2025―Jan―09 |
CT image segmentation based on modified U-Net for novel coronavirus pneumonia |
Xiaoyu Xu |
| 12 |
[GO] |
IET Conference Proceedings |
2025―Jan―09 |
Novel coronavirus pneumonia CT image classification based on inception ResNet |
Kai Cao |
| 13 |
[GO] |
IET Systems Biology |
2024―Oct―30 |
Developing a machine learning model with enhanced performance for predicting COVID-19 from patients presenting to the emergency room with acute respiratory symptoms |
Maha Mesfer Alghamdi, Naael H. Alazwary, Waleed A. Alsowayan, Mohmmed Algamdi, Ahmed F. Alohali, Mustafa A. Yasawy, et al. (+11) Abeer M. Alghamdi, Abdullah M. Alassaf, Mohammed R. Alshehri, Hussein A. Aljaziri, Nujoud H. Almoqati, Shatha S. Alghamdi, Norah A. Bin Magbel, Tareq A. AlMazeedi, Nashaat K. Neyazi, Mona M. Alghamdi, Mohammed N. Alazwary |
| 14 |
[GO] |
IET Image Processing |
2024―Sep―26 |
Advancing precision in medical image segmentation: A performance analysis of loss functions for COVID-19 lung infection segmentation in computed tomography images |
Emilio Delgado, Roberto Rodriguez-Echeverria, Antonio Jesús Fernández-García, Juan D. Gutiérrez, Miguel Ángel Suero-Rodrigo |
| 15 |
[GO] |
IET Intelligent Transport Systems |
2024―Sep―09 |
9 to 5 or a new-normal? Cluster analysis of pre and post pandemic vehicle and cycle diurnal flow profiles |
Matthew Edward Burke, Margaret Bell, Dilum Dissanayake |
| 16 |
[GO] |
IET Conference Proceedings |
2024―Aug―05 |
Modelling commuting mode choice behaviour with the consideration of the effects of COVID-19: a case study in Belgium |
Xin Meng, Feng Liu, Davy Janssens, Mingxue Guo, Ziyou Guo, Geert Wets |
| 17 |
[GO] |
IET Conference Proceedings |
2024―Jul―02 |
A glimpse into AI in HRM and supply chains during and post COVID-19 |
N. F. Easa, M. M. Eldahamsheh, R. A. El Khatib |
| 18 |
[GO] |
IET Conference Proceedings |
2024―Jul―02 |
Waste generation forecasting using mobility data during COVID-19 pandemic |
A. T. Fathabadi, A. Abdeljaber, M. Abdallah, M. A. Talib, M. Maraqa |
| 19 |
[GO] |
IET Smart Cities |
2024―May―24 |
Smart resilience through IoT-enabled natural disaster management: A COVID-19 response in São Paulo state |
Alessandro S. Santos, Icaro Goncales, Angelina Silva, Rodrigo Neves, Igor Teixeira, Eder Barbosa, et al. (+2) Vagner Gava, Olga Yoshida |
| 20 |
[GO] |
IET Image Processing |
2024―Apr―24 |
An effective screening of COVID-19 pneumonia by employing chest X-ray segmentation and attention-based ensembled classification |
Abu Sayeed, Nasif Osman Khansur, Azmain Yakin Srizon, Md. Farukuzzaman Faruk, Salem A. Alyami, AKM Azad, Mohammad Ali Moni |
| 21 |
[GO] |
IET Cyber-Physical Systems Theory & Applications |
2024―Apr―18 |
SEIR-driven semantic integration framework: Internet of Things-enhanced epidemiological surveillance in COVID-19 outbreaks using recurrent neural networks |
Saket Sarin, Sunil K. Singh, Sudhakar Kumar, Shivam Goyal, Brij B. Gupta, Varsha Arya, Kwok Tai Chui |
| 22 |
[GO] |
Engineering & Technology |
2024―Mar―28 |
The silent pandemic |
H. Vella |
| 23 |
[GO] |
CAAI Transactions on Intelligence Technology |
2024―Mar―26 |
Enabling pandemic-resilient healthcare: Narrowband Internet of Things and edge intelligence for real-time monitoring |
Md Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam, Mohammed Balfaqih, Ahmed Ibrahim Alzahrani, Nasser Alalwan, et al. (+4) Nurhizam Safie, Zaheed Ahmed Bhuiyan, Rahul Thakkar, Taher M. Ghazal |
| 24 |
[GO] |
IET Image Processing |
2024―Mar―14 |
Interpretable vision transformer based on prototype parts for COVID-19 detection |
Yang Xu, Zuqiang Meng |
| 25 |
[GO] |
IET Energy Systems Integration |
2024―Jan―03 |
An efficient load forecasting technique by using Holt-Winters and Prophet algorithms to mitigate the impact on power consumption in COVID-19 |
Waqar Waheed, Xu Qingshan |
| 26 |
[GO] |
IET Conference Proceedings |
2023―Nov―06 |
Behavioural analysis of COVID-19 vaccine hesitancy survey: A machine learning approach |
V. K. Marimuthu, S. Jayaraman, A. T. Sheik, C. Maple |
| 27 |
[GO] |
IET Systems Biology |
2023―Oct―12 |
Bioinformatics approach to identify the hub gene associated with COVID-19 and idiopathic pulmonary fibrosis |
Wenchao Shi, Tinghui Li, Huiwen Li, Juan Ren, Meiyu Lv, Qi Wang, et al. (+5) Yaowu He, Yao Yu, Lijie Liu, Shoude Jin, Hong Chen |
| 28 |
[GO] |
IET Systems Biology |
2023―Oct―12 |
Identification of toll-like receptor 5 and acyl-CoA synthetase long chain family member 1 as hub genes are correlated with the severe forms of COVID-19 by Weighted gene co-expression network analysis |
Luoyi Wang, Zhaomin Mao, Fengmin Shao |
| 29 |
[GO] |
IET Conference Proceedings |
2023―Oct―02 |
Effect of COVID-19 on photovoltaic demand and installation |
F. Zulfiqar, F. Muhammad-Sukki, S. H. Abu-Bakar, N. A. Bani, A. A. Mas'ud |
| 30 |
[GO] |
IET Conference Proceedings |
2023―Oct―02 |
Language-independent features for detecting fake news: a case study of COVID-19 twitter news feed |
W. K. Wong, J. T. H. Kong, F. H. Juwono, R. Reine |
| 31 |
[GO] |
IET Conference Proceedings |
2023―Sep―26 |
The impact of covid-19 on electricity demand in Portugal |
J. Teixeira, I. Ferrão, S. Gonçalves, A. Soares, N. Lourenço, A. Rua |
| 32 |
[GO] |
IET Quantum Communication |
2023―Sep―01 |
Hybrid-quantum approach for the optimal lockdown to stop the SARS-CoV-2 community spread subject to maximising nation economy globally |
Kunal Das, Sahil Zaman, Alex Khan, Arindam Sadhu, Subhasree Bhattacharjee, Faisal Shah Khan, Bikramjit Sarkar |
| 33 |
[GO] |
IET Conference Proceedings |
2023―Aug―29 |
COVID-Net: COVID-19 detection and classification from chest X-rays using DCNN |
V. Kalpana, V. Vijaya Kishore, B. Hari Krishna |
| 34 |
[GO] |
IET Conference Proceedings |
2023―Aug―29 |
The effects of COVID-19 on wind energy in India- challenges and opportunities in future |
P. Kaushik, M. Singh |
| 35 |
[GO] |
IET Image Processing |
2023―Jul―28 |
An efficient deep multi-task learning structure for covid-19 disease |
Shirin Kordnoori, Maliheh Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi |
| 36 |
[GO] |
IET Software |
2023―Jul―12 |
Gravitational search algorithm-extreme learning machine for COVID-19 active cases forecasting |
Boyu Huang, Youyi Song, Zhihan Cui, Haowen Dou, Dazhi Jiang, Teng Zhou, Jing Qin |
| 37 |
[GO] |
IET Computer Vision |
2023―Jul―03 |
CAGAN: Classifier-augmented generative adversarial networks for weakly-supervised COVID-19 lung lesion localisation |
Xiaojie Li, Xin Fei, Zhe Yan, Hongping Ren, Canghong Shi, Xian Zhang, et al. (+3) Imran Mumtaz, Yong Luo, Xi Wu |
| 38 |
[GO] |
CAAI Transactions on Intelligence Technology |
2023―Jun―25 |
Dynamic adaptive spatio-temporal graph network for COVID-19 forecasting |
Xiaojun Pu, Jiaqi Zhu, Yunkun Wu, Chang Leng, Zitong Bo, Hongan Wang |
| 39 |
[GO] |
IET Image Processing |
2023―May―31 |
Deep learning-based COVID-19 diagnosis using CT scans with laboratory and physiological parameters |
Humam Adnan Sameer, Ammar Hussein Mutlag, Sadik Kamel Gharghan |
| 40 |
[GO] |
IET Conference Proceedings |
2023―Apr―25 |
Diagnosing the severity of covid-19 in lungs using CNN models |
V. A. Devi, V. Ganesan, S. Chowdhury, G. Ramya, P. K. Dutta |
| 41 |
[GO] |
IET Conference Proceedings |
2023―Apr―25 |
The impact of COVID-19 on the design of apartment buildings: a case study of Bahrain |
M. Khalfan, L. Karajica, H. Almadhoob |
| 42 |
[GO] |
IET Conference Proceedings |
2023―Apr―25 |
Analysing the impact of COVID-19 outbreak and economic policy uncertainty on stock markets in major affected economies |
A. Matuka, S. S. Asafo, G. O. Eweke, P. Mishra, S. Ray, M. Abotaleb, et al. (+6) T. Makarovskikh, A.A. Alhussan, A.A. Abdelhamid, E.M. El-Kenawy, P. Dutta, S. Chowdhury |
| 43 |
[GO] |
IET Conference Proceedings |
2023―Apr―25 |
Smart national parks after COVID pandemic suitability to special needs in the Kingdom of Bahrain |
I. H. Elghonaimy, W. M. S. Sadiq Husain, Z. K. Babili |
| 44 |
[GO] |
IET Conference Proceedings |
2023―Apr―25 |
Quality of life during the pandemic: a cross sectional study about attitude, individual perspective and behavior change affecting general population in daily life |
F. Khatoon, M. Kumar, A. A. Khalid, A. D. Alshammari, F. Khan, R. D. Alshammari, et al. (+8) Z. Balouch, D. Verma, P. Mishra, M. Abotaleb, T. Makarovskikh, E. M. El-kenawy, P. K. Dutta, J. A. Marques |
| 45 |
[GO] |
IET Conference Proceedings |
2023―Apr―03 |
Modeling and evaluation of public safety resilience based on Bayesian network: a case Study of COVID-19 pandemic |
J. Zhang, G. Zha, X. Pan, S. Ding, D. Zuo, Y. Xu |
| 46 |
[GO] |
IET Signal Processing |
2023―Mar―30 |
Adaptive elastic-net sliced inverse regression to identify risk factors affecting COVID-19 disease fatality rate |
Sajedeh Lashgari, Mohsen Mohammadzadeh, Foad Ghaderi |
| 47 |
[GO] |
IET Conference Proceedings |
2023―Mar―25 |
User, industry, and waste management perspectives on single-use plastic's environmental impact during the pandemic: a pilot study |
K.Y.A. Zreba, T.N.T. lzhar, I.A. Zakarya, R.S.A. Hwidi |
| 48 |
[GO] |
Healthcare Technology Letters |
2023―Mar―10 |
Acceptance factors of telemedicine technology during Covid-19 pandemic among health professionals: A qualitative study |
Rouidi Mohammed, Elouadi Abd Elmajid, Hamdoune Amine, Choujtani Khadija |
| 49 |
[GO] |
IET Cyber-Physical Systems Theory & Applications |
2023―Feb―09 |
COVID-19 clinical medical relationship extraction based on MPNet |
Su Qianmin, Pan Wei, Cai Xiaoqiong, Ling Hongxing, Huang Jihan |
| 50 |
[GO] |
Cognitive Computation and Systems |
2023―Feb―08 |
Speech emotion recognition with artificial intelligence for contact tracing in the COVID-19 pandemic |
Francesco Pucci, Pasquale Fedele, Giovanna Maria Dimitri |
| 51 |
[GO] |
The Journal of Engineering |
2023―Jan―24 |
Hybridization of particle swarm optimization algorithm with neural network for COVID-19 using computerized tomography scan and clinical parameters |
Humam Adnan Sameer, Sadik Kamel Gharghan, Ammar Hussein Mutlag |
| 52 |
[GO] |
IET Image Processing |
2023―Jan―03 |
Analysis of lung scan imaging using deep multi-task learning structure for Covid-19 disease |
Shirin Kordnoori, Malihe Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi |
| 53 |
[GO] |
IET Conference Proceedings |
2022―Nov―25 |
Real-time wearable device for predicting a long covid patient's condition |
A. R. T. Abdel Gawad, S. F. Toha, N. H. D. Nordin, A. S. Idris |
| 54 |
[GO] |
IET Image Processing |
2022―Nov―24 |
DCACorrCapsNet: A deep channel-attention correlative capsule network for COVID-19 detection based on multi-source medical images |
Aite Zhao, Huimin Wu, Ming Chen, Nana Wang |
| 55 |
[GO] |
CAAI Transactions on Intelligence Technology |
2022―Oct―19 |
Aspect based sentiment analysis using multi-criteria decision-making and deep learning under COVID-19 pandemic in India |
Rakesh Dutta, Nilanjana Das, Mukta Majumder, Biswapati Jana |
| 56 |
[GO] |
IET Intelligent Transport Systems |
2022―Oct―12 |
Ride-pooling in the light of COVID-19: Determining spatiotemporal demand characteristics on the example of MOIA |
Felix Zwick, Eva Fraedrich, Kay W. Axhausen |
| 57 |
[GO] |
Healthcare Technology Letters |
2022―Sep―28 |
A UAV-based portable health clinic system for coronavirus hotspot areas |
Mustafa Siham Qassab, Qutaiba Ibrahim Ali |
| 58 |
[GO] |
IET Image Processing |
2022―Sep―24 |
LW-CovidNet: Automatic covid-19 lung infection detection from chest X-ray images |
Noor Ahmed, Xin Tan, Lizhuang Ma |
| 59 |
[GO] |
IET Networks |
2022―Aug―23 |
Agile roadmap for application-driven Multi-UAV networks: The case of COVID-19 |
Laila Abouzaid, Halima Elbiaze, Essaid Sabir |
| 60 |
[GO] |
IET Information Security |
2022―Aug―17 |
COVID-19 and cybersecurity |
Roberto Di Pietro, Ni Trieu, Vincenzo Iovino |
| 61 |
[GO] |
IET Smart Cities |
2022―Aug―10 |
A hybrid assessment framework for human-centred sustainable smart campus: A case study on COVID-19 impact |
Christine Yip, Yuchen Zhang, Erwan Lu, Zhao Yang Dong |
| 62 |
[GO] |
Healthcare Technology Letters |
2022―Aug―09 |
Mobile application tool for remote rehabilitation after discharge from coronavirus disease-19 rehabilitation unit |
Daniele Emedoli, Federica Alemanno, Elise Houdayer, Luigia Brugliera, Sandro Iannaccone, Andrea Tettamanti |
| 63 |
[GO] |
Engineering & Technology |
2022―Aug―05 |
Who is Tackling the Pandemic of Waste? |
L. Williams |
| 64 |
[GO] |
IET Information Security |
2022―Jul―05 |
The COVID-19 scamdemic: A survey of phishing attacks and their countermeasures during COVID-19 |
Ali F. Al-Qahtani, Stefano Cresci |
| 65 |
[GO] |
IET Conference Proceedings |
2022―Jun―16 |
Conquering the COVID-19 pandemic: a deep learning based approach |
S. Parekh, R. Agarwal, T. Jadhav, A. Joshi |
| 66 |
[GO] |
IET Information Security |
2022―May―11 |
AI bot to detect fake COVID-19 vaccine certificate |
Muhammad Arif, Shermin Shamsudheen, F Ajesh, Guojun Wang, Jianer Chen |
| 67 |
[GO] |
IET Conference Proceedings |
2022―Apr―20 |
Implementation of convolutional neural network for Covid-19 diagnosis |
M. Bachute, N. Maheswari, L. Narang, A. Sunil, S. Kewlani |
| 68 |
[GO] |
IET Conference Proceedings |
2022―Apr―20 |
Symptomatic Covid-19 detection |
A. Shaik, J. Suram, R. Dugyala |
| 69 |
[GO] |
IET Conference Proceedings |
2022―Apr―20 |
Introducing self-sustainable cloud platform for data management and extraction of actionable knowledge for smart healthcare industry: a COVID-19 case study |
A. Thakare, M. Burkule, S. Nimbolkar, M. Khakifirooz |
| 70 |
[GO] |
IET Conference Proceedings |
2022―Apr―20 |
A systematic review on COVID-19 vaccine and statistical analysis |
L. P. R. Mandapati, M. Swapna |
| 71 |
[GO] |
IET Conference Proceedings |
2022―Apr―20 |
Digitalization and reviving the water frontage following the concept of smart cities after COVID 19 pandemic |
I. H. Elghonaimy, D. H. Eldardiry |
| 72 |
[GO] |
IET Image Processing |
2022―Mar―16 |
A COVID-19 CXR image recognition method based on MSA-DDCovidNet |
Wei Wang, Wendi Huang, Xin Wang, Peng Zhang, Nian Zhang |
| 73 |
[GO] |
IET Nanobiotechnology |
2022―Mar―11 |
Antisense technology as a potential strategy for the treatment of coronaviruses infection: With focus on COVID-19 |
Seyedeh Hoda Alavizadeh, Maham Doagooyan, Fatemeh Zahedipour, Shima Yahoo Torghabe, Bahare Baharieh, Firooze Soleymani, Fatemeh Gheybi |
| 74 |
[GO] |
IET Conference Proceedings |
2022―Feb―16 |
Telemedicine and smart systems techniques for COVID-19: a systematic review |
I. M. EL-Hasnony, M. Elhoseny, Z. Tarek |
| 75 |
[GO] |
Engineering & Technology |
2022―Jan―11 |
Health - Covid-19. The Bigger Picture: Wearable air purifier |
|
| 76 |
[GO] |
Engineering & Technology |
2022―Jan―11 |
Post-Pandemic Travel: Ready for Take-Off? [Aviation - Covid-19] |
S. Johnson |
| 77 |
[GO] |
Engineering & Technology |
2022―Jan―11 |
Shock Treatment: Can the Pandemic Turn the NHS Digital? [healthcare - digitisation] |
J. O'Malley |
| 78 |
[GO] |
IET Conference Proceedings |
2022―Jan―11 |
COVID-19 Demand response outlook: predicting the unknown |
L. Pinto, G. Cardoso, R. Semolini |
| 79 |
[GO] |
IET Conference Proceedings |
2022―Jan―11 |
SIMPLE AND EFFECTIVE ANALYSES OF COVID-19 IMPACT ON LOAD PROFILE PATTERNS IN DSO ELEKTRO CELJE |
L. Maruša, K. Koželj, B. Turinek |
| 80 |
[GO] |
IET Conference Proceedings |
2022―Jan―11 |
DYNAMIC SHORT TERM CORRECTION OF ENERGY CONSUMPTION FORECASTS DURING COVID-19 EPIDEMICS |
A. Rosin, S. Delbos |
| 81 |
[GO] |
IET Conference Proceedings |
2022―Jan―11 |
ADVANTAGES OF INTEGRAL REMOTE ACCESS MANAGEMENT IN SMART SECONDARY SUBSTATIONS IN TERMS OF COSTS, RELIABILITY AND PERSONNEL (E.G. COVID-19) |
F. Thasler, J. A. Valparis, D. V. Niet |
| 82 |
[GO] |
IET Conference Proceedings |
2022―Jan―11 |
Impact assessment of COVID-19 on electricity demand by utilizing smart meter |
K. Uehara, S. Takemoto, Y. Matsuura, K. Kimura, M. Ohnishi, J. Takamiya |
| 83 |
[GO] |
IET Conference Proceedings |
2022―Jan―11 |
TRAINING OF HUMAN RESOURCES IN ELECTRIC ENERGY DISTRIBUTION UNDER THE RESTRICTIONS OF THE COVID-19 PANDEMIC |
D. A. N. Lepez, N. F. Gutierrez |
| 84 |
[GO] |
IET Conference Proceedings |
2022―Jan―11 |
ELECTRIC ENERGY DISTRIBUTION IN THE CONTEXT OF ECONOMIC RECESSION, THE COVID 19 PANDEMIC AND THE QUARANTINE |
M. Pulice |
| 85 |
[GO] |
Micro & Nano Letters |
2022―Jan―05 |
A review of electrochemical biosensor application in the detection of the SARS-COV-2 |
Chunying Jiang, Xihui Mu, Bin Du, Zhaoyang Tong |
| 86 |
[GO] |
IET Conference Proceedings |
2021―Dec―13 |
Embracing Advanced Digital Services in the Charity and Voluntary Sector: a response to Covid-19 |
A. Raki, I. N. Chowdhury, M. Nieroda, J. Zolkiewski |
| 87 |
[GO] |
IET Conference Proceedings |
2021―Dec―13 |
CYBERBULLYING IN ONLINE CLASSES: THE CASE OF COVID-19 |
Elma Afsar, Munam Ali Shah, Muhammad Owais |
| 88 |
[GO] |
Healthcare Technology Letters |
2021―Dec―09 |
Kuwaiti hospital patients’ continuance intention to use telemedical systems in the wake of the COVID19 pandemic |
Ibtisam L F H Almutairi, Bodoor F Alazemi, Faisal L F H Almutairi |
| 89 |
[GO] |
IET Image Processing |
2021―Nov―19 |
A coarse-refine segmentation network for COVID-19 CT images |
Ziwang Huang, Liang Li, Xiang Zhang, Ying Song, Jianwen Chen, Huiying Zhao, et al. (+5) Yutian Chong, Hejun Wu, Yuedong Yang, Jun Shen, Yunfei Zha |
| 90 |
[GO] |
IET Conference Proceedings |
2021―Oct―07 |
Covid-19 Detection from Chest X-Ray Images Using Deep CNN Architectures with Transfer Learning |
R. Chelghoum, A. Ikhlef, S. Jacquir |
| 91 |
[GO] |
IET Conference Proceedings |
2021―Oct―07 |
Computer-Aided Detection of COVID-19 using Chest Imaging |
Sahar Liaqat, Gulistan Raja |
| 92 |
[GO] |
Chinese Journal of Electronics |
2021―Sep―08 |
A Machine Learning Method for Differentiating and Predicting Human-Infective Coronavirus Based on Physicochemical Features and Composition of the Spike Protein |
WANG Chao, ZOU Quan |
| 93 |
[GO] |
The Journal of Engineering |
2021―Aug―09 |
Data-driven operation of the resilient electric grid: A case of COVID-19 |
H. Noorazar, A. Srivastava, S. Pannala, Sajan K Sadanandan |
| 94 |
[GO] |
IET Systems Biology |
2021―Aug―05 |
Comprehensive investigation of RNA-sequencing dataset reveals the hub genes and molecular mechanisms of coronavirus disease 2019 acute respiratory distress syndrome |
Wangsheng Deng, Jiaxing Zeng, Shunyu Lu, Chaoqian Li |
| 95 |
[GO] |
IET Conference Proceedings |
2021―Jun―28 |
Teaching and learning during COVID-19 |
A. A. Salam, A. H. Bani Younis, N. A. Saqib |
| 96 |
[GO] |
IET Conference Proceedings |
2021―Jun―28 |
Smart autonomous thermometer system to assist COVID-19 pandemic monitoring in smart campuses |
M. Rizk |
| 97 |
[GO] |
IET Communications |
2021―Jun―06 |
Technology-driven 5G enabled e-healthcare system during COVID-19 pandemic |
Nasser Alshammari, Md Nazirul Islam Sarker, M.M. Kamruzzaman, Madallah Alruwaili, Saad Awadh Alanazi, Md Lamiur Raihan, Salman Ali AlQahtani |
| 98 |
[GO] |
Healthcare Technology Letters |
2021―May―27 |
Development and validation of early warning score systems for COVID-19 patients |
Alexey Youssef, Samaneh Kouchaki, Farah Shamout, Jacob Armstrong, Rasheed El-Bouri, Thomas Taylor, et al. (+6) Drew Birrenkott, Baptiste Vasey, Andrew Soltan, Tingting Zhu, David A. Clifton, David W. Eyre |
| 99 |
[GO] |
Engineering & Technology |
2021―May―19 |
Regulars - Columnist. Dear Evil Engineer: Question: Pandemic held - Is there any way I could acquire excess arms? |
H. Lamb |
| 100 |
[GO] |
IET Image Processing |
2021―May―05 |
A multi-class COVID-19 segmentation network with pyramid attention and edge loss in CT images |
Fuli Yu, Yu Zhu, Xiangxiang Qin, Ying Xin, Dawei Yang, Tao Xu |
| 101 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
News - Briefing. The Graphic: Bad air around Covid-19 |
B. Heubl |
| 102 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
The supply chain in a world of Covid-19 |
P. Dempsey |
| 103 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
News - Comment. Money & Markets. Covid-19 - The good news is, nobody knows what the bad news is |
C. Chambers |
| 104 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
News - Comment. View from Manchester: Politics - Covid-19 and the necessity of Systems Thinking |
S. Morgan |
| 105 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
Contact app under scrutiny [NHSX Covid-19 contact-tracing app] |
B. Heubl |
| 106 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
News - Briefing. The Graphic: Covid-19 cycle infrastructure |
B. Heubl |
| 107 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
News - Comment. View from Brussels: COVID-19 No island is an island: How the EU's virus fund affects the UK |
S. Morgan |
| 108 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
Border control [security of business communication during COVID-19 pandemic] |
C. Edwards |
| 109 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
Robotics - Covid-19. Photo-Essay |
R. Northfield |
| 110 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
News - Comment. View from Washington: Manufacturing - Covid-19 stimulus packages must look to the future |
P. Dempsey |
| 111 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
Transport - Covid-19. The Bigger Picture: Socially distanced tram |
|
| 112 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
Book Reviews: Bunker, Covid-19, The Drone Age |
N. Smith, H. Lamb, S. Doyle |
| 113 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
Technology - Covid-19. The Gallery - World's first online graduation |
R. Northfield |
| 114 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
News - Comment. View from Manchester: Pandemic - The teachable moment in battling the Covid-19 virus |
P. Dempsey |
| 115 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
Tough Tests for COVID-19 [Engineering & Technology] |
N. Smith |
| 116 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
Modelling Covid-19 [Engineering & Technology] |
C. Andrews |
| 117 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
News - Comment. View from Brussels: Coronavirus - For the EU's virus response, the skies are the limit |
S. Morgan |
| 118 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
News - Comment. Money & Markets. Coronavirus - Market movements predict the future for the world's finances |
C. Chambers |
| 119 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
News - Comment. View from Brussels: Pandemic - Introducing the EU 'e-summit' during coronavirus outbreak |
S. Morgan |
| 120 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
News - Analysis. Pandemic: How coronavirus wreaks havoc in the global tech sector |
B. Heubl |
| 121 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
The pandemic effect [Pandemic - History] |
N. Smith |
| 122 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
Range anxiety road trip [Shortly before the global pandemic struck, our reporter travelled around north-west Europe in a Tesla.] |
L. Williams |
| 123 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
2020 Hindsight: Lessons Learnt the Hard Way [COVID-19 pandemic] |
C. Edwards |
| 124 |
[GO] |
Engineering & Technology |
2021―Apr―24 |
News - Comment. Money & Markets. Infrastructure - Engineering firms will gain from postpandemic spending |
R. Chambers |
| 125 |
[GO] |
IET Cyber-Systems and Robotics |
2021―Mar―23 |
Machine learning discovery of distinguishing laboratory features for severity classification of COVID-19 patients |
Yang Xiao, Li Yan, Mingyang Zhang, Kent E. Pinkerton, Haosen Cao, Ying Xiao, et al. (+8) Wei Li, Shuai Li, Yancheng Wang, Shusheng Li, Zhiguo Cao, Gary Wing-Kin Wong, Hui Xu, Hai-Tao Zhang |
| 126 |
[GO] |
IET Image Processing |
2021―Mar―08 |
COVID-19 disease severity assessment using CNN model |
Emrah Irmak |
| 127 |
[GO] |
IET Image Processing |
2021―Feb―24 |
MaskHunter: real-time object detection of face masks during the COVID-19 pandemic |
Zhihao Cao, Mingfeng Shao, Li Xu, Shaomin Mu, Hongchun Qu |
| 128 |
[GO] |
IET Image Processing |
2021―Feb―20 |
Ensemble learning-based COVID-19 detection by feature boosting in chest X-ray images |
Kamini Upadhyay, Monika Agrawal, Desh Deepak |
| 129 |
[GO] |
IET Generation Transmission & Distribution |
2020―Nov―25 |
Comprehensive assessment of COVID-19 impact on Saskatchewan power system operations |
Nima Safari, George Price, C.Y. Chung |
| 130 |
[GO] |
IET Cyber-Systems and Robotics |
2020―Nov―19 |
Data-driven discovery of a clinical route for severity detection of COVID-19 paediatric cases |
Hui Yu, Yuqi Guo, Yun Xiang, Chuan Sun, Tao Yang |
| 131 |
[GO] |
Engineering & Technology |
2020―Oct―23 |
News - Comment. View from Washington: Coronavirus - Informed uncertainty or worst-case panic? It's up to us. |
P. Dempsey |
| 132 |
[GO] |
Engineering & Technology |
2020―Oct―23 |
News - Comment. Money & Markets. Cryptocurrencies - Market noise reflects coronavirus concerns but logic will prevail |
C. Chambers |
| 133 |
[GO] |
Engineering & Technology |
2020―Oct―23 |
Apocalypse - Pandemic Flu: What to do with Pandemic Flu |
R. Wordsworth |
| 134 |
[GO] |
Electronics Letters |
2020―Oct―22 |
Web-based efficient dual attention networks to detect COVID-19 from X-ray images |
Md. Mostafa Kamal Sarker, Yasmine Makhlouf, Syeda Furruka Banu, Sylvie Chambon, Petia Radeva, Domenec Puig |
| 135 |
[GO] |
IET Smart Cities |
2020―Sep―28 |
A note on Covid-19 by Professor Vincent Poor |
|
| 136 |
[GO] |
IET Smart Cities |
2020―Sep―28 |
Smart cities in the time of climate change and Covid-19 need digital twins |
Joseph Dignan |
| 137 |
[GO] |
IET Smart Cities |
2020―Sep―28 |
The role of electronic communications during the pandemic |
|
| 138 |
[GO] |
IET Smart Cities |
2020―Jul―20 |
Guest Editorial: A Note on COVID-19 from Professor Bjarne Stroustrup |
|
| 139 |
[GO] |
IET Smart Cities |
2020―Jun―24 |
Smart Solution for Reducing the COVID-19 Risk using Smart City Technology |
Rahul Jaiswal, Anshul Agarwal, RICHA NEGI |
| 140 |
[GO] |
IET Smart Cities |
2020―Jun―20 |
COVID-19 in ITALY: A brief note on short-medium term effects and involved ICT technologies |
Floriano De Rango, Mauro Tropea |
| 141 |
[GO] |
IET Collaborative Intelligent Manufacturing |
2020―Jun―13 |
Address Business Crisis Caused by COVID-19 with Collaborative Intelligent Manufacturing Technologies |
Weiming Shen, Chen Yang, Liang GAO |
| 142 |
[GO] |
IET Smart Cities |
2020―Jun―09 |
The COVID-19 Pandemic: A Review of Smart Cities Initiatives to Face New Outbreaks |
Daniel Costa, Joao Paulo J Peixoto |
| 143 |
[GO] |
IET Smart Cities |
2020―May―30 |
Mobile crowdsensing approaches to address the COVID-19 pandemic in Spain |
Juan Carlos Cano, Jose Maria Cecilia, Enrique Hernandez-Orallo, Carlos Calafate, Pietro Manzoni |
| 144 |
[GO] |
Cognitive Computation and Systems |
2020―May―14 |
Predicting COVID-19 Trends in Canada: A Tale of Four Models |
Wandong Zhang, W G Will ZHAO, Dana Wu, Yimin Yang |
| 145 |
[GO] |
IET Smart Cities |
2020―Apr―04 |
The Smart City and Covid-19 |
Chai Toh, William Webb |
