Dr Shamsul Masum
Cited by
Cited by
Multi-step time series forecasting of electric load using machine learning models
S Masum, Y Liu, J Chiverton
Artificial Intelligence and Soft Computing: 17th International Conference …, 2018
Investigation of machine learning techniques in forecasting of blood pressure time series data
S Masum, JP Chiverton, Y Liu, B Vuksanovic
Artificial Intelligence XXXVI: 39th SGAI International Conference on …, 2019
Comparative Analysis of the Outcomes of Differing Time Series Forecasting Strategies
S Masum, Y Liu, J Chiverton
International Conference on Natural Computation, Fuzzy Systems and Knowledge …, 2017
Data Analytics and Artificial Intelligence in Predicting Length of Stay, Readmission, and Mortality: A Population-Based Study of Surgical Management of Colorectal Cancer
S Masum, A Hopgood, S Stefan, K Flashman, JS Khan
Discover Oncology 13, 17, 2022
Deep learning models for the diagnosis and screening of COVID-19: a systematic review
S Siddiqui, M Arifeen, A Hopgood, A Good, A Gegov, E Hossain, ...
SN computer science 3 (5), 397, 2022
Forecasting from Physiological Time Series Through Supervised Learning
S Masum
University of Portsmouth, 2020
Data analytics and artificial intelligence to predict length of stay, readmission and mortality after colorectal cancer surgery
S Masum, A Hopgood, S Stefan, K Flashman, JS Khan
European Journal of Surgical Oncology 47 (2), e5, 2021
SMS/GPS Vehicle Tracking System
S Masum
Comparison of patient outcomes following colon and rectal cancer surgery
S Masum, R Duhoky, A Hopgood, S Stefan, K Flashman, JS Khan
European Journal of Surgical Oncology 2 (49), 2023
Hybrid Machine Learning model for A Next-Generation Ecofriendly Travelling and Guides to Reduce Carbon Emissions
E Hossain, W Rahman, AB Ekram, R Abedin, NA Roni, E Haque, ...
Artificial Intelligence and Machine Learning for Risk Prediction in Surgery
S Masum, A Hopgood, JS Khan
Journal of Cancer Science and Clinical Therapeutics 6, 358-359, 2022
Analysing and Identifying COVID-19 Risk Factors Using Machine Learning Algorithm with Smartphone Application
S Siddiqui, E Hossain, SM Asaduzzaman, S Al Jannat, T Niloy, ...
Inventive Systems and Control: Proceedings of ICISC 2022, 775-788, 2022
Machine Learning for Intradialytic Hypotension Prediction in Haemodialysis Patients
S Masum, A Hopgood, N Sangala, R Lewis
Kidney International Reports 7 (2), S274, 2022
A Comparative Study of Deep Learning Models for COVID-19 Diagnosis Based on X-Ray Images
S Siddiqui, E Hossain, R Ferdous, M Arifeen, W Rahman, S Masum, ...
Smart and Sustainable Technology for Resilient Cities and Communities, 163, 2022
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