A review on predicting autism spectrum disorder (asd) meltdown using machine learning algorithms

S Karim, N Akter, MJA Patwary… - 2021 5th International …, 2021 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a well-known mental disorders that prevails in the ability
of a person's social communication. The significance of early diagnosing drew the attention …

Credit approval system using machine learning: Challenges and future directions

MF Faisal, MNU Saqlain, MAS Bhuiyan… - 2021 International …, 2021 - ieeexplore.ieee.org
The applications of machine learning have now reached variety of industries, including
banking and financial organisations. While credit approval is a key concern of the banking …

Fuzziness based semi-supervised multimodal learning for patient's activity recognition using RGBDT videos

MJA Patwary, W Cao, XZ Wang, MA Haque - Applied Soft Computing, 2022 - Elsevier
Automatic recognition of bedridden patients' physical activity has important applications in
the clinical process. Such recognition tasks are usually accomplished on visual data …

Birth mode prediction using bagging ensemble classifier: A case study of bangladesh

MSB Alam, MJA Patwary… - … conference on information …, 2021 - ieeexplore.ieee.org
Maternal mortality and childbirth complications are major delivery issues in most developing
countries, especially in rural areas. The proper identification of risks associated with the …

Bank deposit prediction using ensemble learning

MJA Patwary, S Akter, MSB Alam… - Artificial Intelligence …, 2021 - ojs.wiserpub.com
Bank deposit is one of the vital issues for any financial institution. It is very challenging to
predict a customer if he/she can be a depositor by analyzing related information. Some …

Predicting autism spectrum disorder (ASD) meltdown using fuzzy semi-supervised learning with NNRW

S Karim, N Akter, MJA Patwary - 2022 International Conference …, 2022 - ieeexplore.ieee.org
Autism Spectrum Condition (ASD) is a notable psychological disorder that affects a human's
ability to communicate socially. The need of early diagnosis prompted researchers' attention …

An expert system to determine systemic lupus erythematosus under uncertainty

S Hossain, M Zahid Hasan, MJA Patwary… - … of International Joint …, 2021 - Springer
This paper represents an expert system to presume systemic lupus erythematosus (SLE) at
its early development stage. SLE is an autoimmune disease that assaults almost every …

A novel oversampling technique to solve class imbalance problem: a case study of students' grades evaluation

D Jahin, IJ Emu, S Akter, MJA Patwary… - 2021 International …, 2021 - ieeexplore.ieee.org
The academic performance of the students is one of the critical aspects in ranking
educational institutions, particularly at the secondary level. If the student's performance is not …

An experimental study on symbolic extreme learning machine

J Liu, MJA Patwary, XY Sun, K Tao - International Journal of Machine …, 2019 - Springer
With the advent of big data era, the volume and complexity of data have increased
exponentially and the type of data has also been increased largely. Among all different types …

DyReT: A Dynamic Rule Framing Engine Equipped With Trust Management for Vehicular Networks

H El-Sayed, H Alexander, MA Khan, P Kulkarni… - IEEE …, 2020 - ieeexplore.ieee.org
Managing a dynamic traffic system is a challenging task in vehicular environments. Clarity of
vehicular data for efficient decision making is vital in Intelligent Transportation Systems (ITS) …