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Ru Wen, Peng Xu, Yimin Cai, Fang Wang, Mengfei Li, Xianchun Zeng & Chen Liu. (2023) A Deep Learning Model for the Diagnosis and Discrimination of Gram-Positive and Gram-Negative Bacterial Pneumonia for Children Using Chest Radiography Images and Clinical Information. Infection and Drug Resistance 16, pages 4083-4092.
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Pankaj Tyagi, Anju Sharma, Rahul Semwal, Uma Shanker Tiwary & Pritish Kumar Varadwaj. XGBoost odor prediction model: finding the structure-odor relationship of odorant molecules using the extreme gradient boosting algorithm. Journal of Biomolecular Structure and Dynamics 0:0, pages 1-12.
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Abhishek Agnihotri & Narendra Kohli. (2023) Challenges, opportunities, and advances related to COVID-19 classification based on deep learning. Data Science and Management 6:2, pages 98-109.
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Crossref
Qurat-ul-Ain Arshad, Wazir Zada Khan, Faisal Azam & Muhammad Khurram Khan. (2023) Deep-Learning-Based COVID-19 Detection: Challenges and Future Directions. IEEE Transactions on Artificial Intelligence 4:2, pages 210-228.
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Hassaan Malik, Tayyaba Anees, Muhammad Umar Chaudhry, Radomir Gono, Michał Jasiński, Zbigniew Leonowicz & Petr Bernat. (2023) A Novel Fusion Model of Hand-Crafted Features With Deep Convolutional Neural Networks for Classification of Several Chest Diseases Using X-Ray Images. IEEE Access 11, pages 39243-39268.
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P. Manju Bala, S. Usharani, R. Rajmohan, T. Ananth Kumar & A. Balachandar. 2023. Smart Computer Vision. Smart Computer Vision
181
201
.
Sankar Ganesh Karuppasamy, Sheela Gowr, M Diwakaran, K. Maharajan, Sajeev Ram Arumugam & V. Rajeshram. (2022) Identification of COVID-19 in CT Images using Deep Learning Model. Identification of COVID-19 in CT Images using Deep Learning Model.
Ajay Sharma & Pramod Kumar Mishra. (2022) Image enhancement techniques on deep learning approaches for automated diagnosis of COVID-19 features using CXR images. Multimedia Tools and Applications 81:29, pages 42649-42690.
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Dilber Uzun Ozsahin, Nuhu Abdulhaqq Isa & Berna Uzun. (2022) The Capacity of Artificial Intelligence in COVID-19 Response: A Review in Context of COVID-19 Screening and Diagnosis. Diagnostics 12:12, pages 2943.
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Harsuminder Kaur Gill, Vivek Kumar Sehgal & Anil Kumar Verma. (2021) A deep neural network based context-aware smart epidemic surveillance in smart cities. Library Hi Tech 40:5, pages 1159-1178.
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C. B. Sivaparthipan, Bala Anand Muthu, G. Fathima, Priyan Malarvizhi Kumar, Mamoun Alazab & Vicente García Díaz. (2022) Blockchain Assisted Disease Identification of COVID-19 Patients with the Help of IDA-DNN Classifier. Wireless Personal Communications 126:3, pages 2597-2620.
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Bayan Alsaaidah, Moh’d Rasoul Al-Hadidi, Heba Al-Nsour, Raja Masadeh & Nael AlZubi. (2022) Comprehensive Survey of Machine Learning Systems for COVID-19 Detection. Journal of Imaging 8:10, pages 267.
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Jing Li, Guangxin Song, Mengshan Cai, Jiao Bian & Badamasi Sani Mohammed. (2022) Green environment and circular economy: A state-of-the-art analysis. Sustainable Energy Technologies and Assessments 52, pages 102106.
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Rahul Gomes, Connor Kamrowski, Jordan Langlois, Papia Rozario, Ian Dircks, Keegan Grottodden, Matthew Martinez, Wei Zhong Tee, Kyle Sargeant, Corbin LaFleur & Mitchell Haley. (2022) A Comprehensive Review of Machine Learning Used to Combat COVID-19. Diagnostics 12:8, pages 1853.
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Kamel Boukhelfa & Faiza Belala. (2022) A Combined Approach for RT-Systems Development and Analysis. International Journal of Organizational and Collective Intelligence 12:2, pages 1-29.
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Xinfa Tang & Tian Zhong. (2022) Research on COVID-19 Prevention and Control Model Based on Evolutionary Games. Journal of Global Information Management 30:10, pages 1-17.
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Ziyue Yu, Lihua He, Wuman Luo, Rita Tse & Giovanni Pau. (2022) Deep Learning Hybrid Models for COVID-19 Prediction. Journal of Global Information Management 30:10, pages 1-20.
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Feng Li & Gengxin Sun. (2022) Construction of SCUIR Propagation Model Based on Time-Varying Parameters. Journal of Global Information Management 30:10, pages 1-18.
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Meghna Madhu, Anushka Xavier & N. Jayapandian. (2022) Covid-19 Classification and Detection Model using Deep Learning. Covid-19 Classification and Detection Model using Deep Learning.
Xiaoxiao Chen, Linghui Li, Ashutosh Sharma, Gaurav Dhiman & S. Vimal. (2021) The Application of Convolutional Neural Network Model in Diagnosis and Nursing of MR Imaging in Alzheimer's Disease. Interdisciplinary Sciences: Computational Life Sciences 14:1, pages 34-44.
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Lamia Awassa, Imen Jdey, Habib Dhahri, Ghazala Hcini, Awais Mahmood, Esam Othman & Muhammad Haneef. (2022) Study of Different Deep Learning Methods for Coronavirus (COVID-19) Pandemic: Taxonomy, Survey and Insights. Sensors 22:5, pages 1890.
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Crossref
Tawsifur Rahman, Alex Akinbi, Muhammad E. H. Chowdhury, Tarik A. Rashid, Abdulkadir Şengür, Amith Khandakar, Khandaker Reajul Islam & Aras M. Ismael. (2022) COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network. Health Information Science and Systems 10:1.
Crossref
Crossref
R. Sharon Jebaleela, G. Rajakumar, T. Ananth Kumar & S. Arunmozhiselvi. 2022. Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19. Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19
253
276
.
Alka Bali & Nishu Bali. 2022. Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19. Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19
201
229
.
Ritu Chauhan, Harleen Kaur & Bhavya Alankar. 2022. Meta Heuristic Techniques in Software Engineering and Its Applications. Meta Heuristic Techniques in Software Engineering and Its Applications
164
172
.
Arijit Ghosal, Nikita Gupta, Esha Nandi & Harshita Somolu. 2022. Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases. Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases
123
138
.
Debanjan Mitra & Pradeep K. Das Mohapatra. 2022. Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases. Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases
109
122
.
R. L. Priya, A. Abirami & Naman Desai. 2022. Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases. Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases
51
90
.
Sagnik Nayak, Chirantan Ganguly & Anil Kumar Gupta. 2022. Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases. Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases
23
50
.
Christophe Gaie & Markus Mueck. 2022. Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases. Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases
227
248
.
Harleen Kaur, Iftikhar Alam, Ritu Chauhan & Bhavya Alankar. 2022. Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases. Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases
211
226
.
Mehmet Akif Ozdemir, Gizem Dilara Ozdemir & Onan Guren. (2021) Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning. BMC Medical Informatics and Decision Making 21:1.
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Longling Zhang, Bochen Shen, Ahmed Barnawi, Shan Xi, Neeraj Kumar & Yi Wu. (2021) FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia. Information Systems Frontiers 23:6, pages 1403-1415.
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Crossref
Prabh Deep Singh, Rajbir Kaur, Kiran Deep Singh & Gaurav Dhiman. (2021) A Novel Ensemble-based Classifier for Detecting the COVID-19 Disease for Infected Patients. Information Systems Frontiers 23:6, pages 1385-1401.
Crossref
Crossref
Francesco Piccialli, Vincenzo Schiano di Cola, Fabio Giampaolo & Salvatore Cuomo. (2021) The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic. Information Systems Frontiers 23:6, pages 1467-1497.
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Crossref
R. Elakkiya, Pandi Vijayakumar & Marimuthu Karuppiah. (2021) COVID_SCREENET: COVID-19 Screening in Chest Radiography Images Using Deep Transfer Stacking. Information Systems Frontiers 23:6, pages 1369-1383.
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Saurabh Kumar. (2021) Deep learning based affective computing. Journal of Enterprise Information Management 34:5, pages 1551-1575.
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Crossref
Daniel A. Moses. (2021) Deep learning applied to automatic disease detection using chest X‐rays. Journal of Medical Imaging and Radiation Oncology 65:5, pages 498-517.
Crossref
Crossref
Yu-Chih Chang, An-Shun Liu & Woei-Chyn Chu. (2021) Using Deep Learning Algorithms in Chest X-ray Image COVID-19 Diagnosis. Using Deep Learning Algorithms in Chest X-ray Image COVID-19 Diagnosis.
Jaswinder Singh & Gaurav Dhiman. (2021) WITHDRAWN: A survey on machine-learning approaches: Theory and their concepts. Materials Today: Proceedings.
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Elizabeth Jordan, Delia E. Shin, Surbhi Leekha & Shapour Azarm. (2021) Optimization in the Context of COVID-19 Prediction and Control: A Literature Review. IEEE Access 9, pages 130072-130093.
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