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Preface Other
2023-01-01
Authors:  Fong, Simon;  Dey, Nilanjan;  Joshi, Amit
Favorite |  | Submit date：2023/10/31
Exploring ChatGPT's Potential for Consultation, Recommendations and Report Diagnosis: Gastric Cancer and Gastroscopy Reports’ Case Journal article
Zhou,Jiaming, Li,Tengyue, Fong,Simon James, Dey,Nilanjan, Crespo,Rubén González. Exploring ChatGPT's Potential for Consultation, Recommendations and Report Diagnosis: Gastric Cancer and Gastroscopy Reports’ Case[J]. International Journal of Interactive Multimedia and Artificial Intelligence, 2023, 8(2), 7-13.
Authors:  Zhou,Jiaming;  Li,Tengyue;  Fong,Simon James;  Dey,Nilanjan;  Crespo,Rubén González
Favorite | TC[WOS]:8 TC[Scopus]:8  IF:3.4/2.8 | Submit date：2023/08/03
Artificial Intelligence  Chatgpt  E-assessment  Gastric Cancer  Medicine  
All-People-Test-Based Methods for COVID-19 Infectious Disease Dynamics Simulation Model: Towards Citywide COVID Testing Journal article
Liu, Xian Xian, Yang, Jie, Fong, Simon, Dey, Nilanjan, Millham, Richard C., Fiaidhi, Jinan. All-People-Test-Based Methods for COVID-19 Infectious Disease Dynamics Simulation Model: Towards Citywide COVID Testing[J]. International Journal of Environmental Research and Public Health, 2022, 19(17), 10959.
Authors:  Liu, Xian Xian;  Yang, Jie;  Fong, Simon;  Dey, Nilanjan;  Millham, Richard C.; et al.
Favorite | TC[WOS]:5 TC[Scopus]:6 | Submit date：2022/09/30
Covid-19 Sampling Pooling  Mobile App Precise Tracking Technology  Setpg (a + i) Rd + Apt Model  Transmission Dynamics  
ICT Analysis and Applications Book
Fong, Simon, Dey, Nilanjan, Joshi, Amit. ICT Analysis and Applications[M]. Switzerland:Springer, 2022.
Authors:  Fong, Simon;  Dey, Nilanjan;  Joshi, Amit
Favorite |  | Submit date：2022/08/31
Ict  Applications  
Explainable AI to Analyze Outcomes of Spike Neural Network in Covid-19 Chest X-rays Conference paper
Md. Sarwar Kamal, Linkon Chowdhury, Nilanjan Dey, Simon James Fong, Kc Santosh. Explainable AI to Analyze Outcomes of Spike Neural Network in Covid-19 Chest X-rays[C]:IEEE, 2021, 3408-3415.
Authors:  Md. Sarwar Kamal;  Linkon Chowdhury;  Nilanjan Dey;  Simon James Fong;  Kc Santosh
Favorite | TC[WOS]:8 TC[Scopus]:9 | Submit date：2022/05/13
Chest X-rays  Covid-19  ExplAinable Ai  Lime  Spike Neural Network  Supervised Synaptic Learning  Svm  
Artificial Intelligence for Coronavirus Outbreak Book
Fong, Simon, Dey, Nilanjan, Chaki, Jyotismita. Artificial Intelligence for Coronavirus Outbreak[M]. Switzerland:Springer, 2021.
Authors:  Fong, Simon;  Dey, Nilanjan;  Chaki, Jyotismita
Favorite |  | Submit date：2022/08/31
Coronavirus  Covid-2019  Artificial Intelligence  Disease Surveillance  Epidemic Monitoring And Control  Public Health  Data Mining  Deep Learning  Data Analytics  Data Science  
Fast and accurate terrain image classification for ASTER remote sensing by data stream mining and evolutionary-EAC instance-learning-based algorithm Other
2021-03-02
Authors:  Hu, Shimin;  Fong, Simon;  Yang, Lili;  Yang, Shuang Hua;  Dey, Nilanjan; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4 | Submit date：2021/12/07
Aster  Data Stream Mining  Evolutionary Computing  Feature Selection  Remote Sensing  
COVID-19: Psychological and Psychosocial Impact, Fear, and Passion Journal article
Dey, Nilanjan, Mishra, Rishabh, Fong, Simon James, Santosh, K. C., Tan, Stanna, Crespo, Rubén González. COVID-19: Psychological and Psychosocial Impact, Fear, and Passion[J]. Digital Government: Research and Practice, 2021, 2(1).
Authors:  Dey, Nilanjan;  Mishra, Rishabh;  Fong, Simon James;  Santosh, K. C.;  Tan, Stanna; et al.
Favorite | TC[Scopus]:21
AI-Empowered Data Analytics for Coronavirus Epidemic Monitoring and Control Book chapter
出自: Artificial Intelligence for Coronavirus Outbreak, Springer:Singapore, 2021, 页码:47-71
Authors:  Simon James Fong;  Nilanjan Dey;  Jyotismita Chaki
Favorite | TC[Scopus]:12 | Submit date：2021/03/09
A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak Journal article
Xian-Xian Liu, Simon James Fong, Nilanjan Dey, Rubén González Crespo, Enrique Herrera-Viedma. A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak[J]. Applied Intelligence, 2021, 51(7), 4162-4198.
Authors:  Xian-Xian Liu;  Simon James Fong;  Nilanjan Dey;  Rubén González Crespo;  Enrique Herrera-Viedma
Favorite | TC[WOS]:28 TC[Scopus]:22  IF:3.4/3.9 | Submit date：2021/03/09
Novel Coronavirus  Covid-19  Asymptomatic Cases  Disease Transmission  Seir  Seaird  Severity  Risk Assessment  Enhanced Surveillance  Interventions