A review of video-based human activity recognition: theory, methods and applications

TFN Bukht, H Rahman, M Shaheen, A Algarni… - Multimedia Tools and …, 2024 - Springer
Video-based human activity recognition (HAR) is an important task in many fields, such as
healthcare monitoring, video surveillance, and sports analysis. This review paper aims to …

[HTML][HTML] A systematic literature review of 3D deep learning techniques in computed tomography reconstruction

H Rahman, AR Khan, T Sadiq, AH Farooqi, IU Khan… - Tomography, 2023 - mdpi.com
Computed tomography (CT) is used in a wide range of medical imaging diagnoses.
However, the reconstruction of CT images from raw projection data is inherently complex …

[PDF][PDF] A Blockchain-Based Approach for Healthcare Data Interoperability.

S Hussain, H Rahman, GM Abdulsaheb… - … Journal of Advances …, 2023 - researchgate.net
The healthcare industry faces significant challenges in patient identification and data
interoperability due to the use of different electronic medical records (EMRs) and variations …

Classification of autism using feature extraction speed up robust feature (SURF) with boosting algorithm

Y Siagian, DR Maqhfirah - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Autism is a complex disorder that affects an individual's neurobehavioral development. This
disorder is characterized by restricted and repetitive communication patterns, difficulties in …

Digital forensics analysis of iot nodes using machine learning

MZ Arshad, H Rahman, J Tariq, A Riaz, A Imran… - Journal of Computing & …, 2022 - jcbi.org
With the versatility and exponential growth of IoT solutions, the probability of being attacked
has increased. Resource constraint IoT devices raised a challenge for the security handler …

An automatic breast cancer diagnostic system based on mammographic images using convolutional neural network classifier

M Jubeen, H Rahman, AU Rahman, SA Wahid… - Journal of Computing & …, 2022 - jcbi.org
World's second most occurring cancer is breast cancer. Prediction of disease is one of the
most challenging tasks and there are many factors that effect this type of diagnosis like the …

A review on computer-assisted techniques to analyze histopathological images of the breast

S Nagdeote, S Prabhu - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
This article provides an overview of computer-assisted techniques (CAT) used to assess
histopathological images for Breast cancer. The Histopathological images analysis (HIPA) is …

A Temporal Scope Prediction for Storyline Generation Using Events' Knowledge Graphs

N Shahzad, NK Junjua, I Ihsan, H ur Rahman - Journal of Computing & …, 2023 - jcbi.org
Abstract Knowledge graphs (KGs) have become powerful tools for organizing and making
sense of complex datasets, especially when time information is included. However, ensuring …

Staging of breast cancer based on the area of the primary tumour

R Embong, MH Sanuddin, MSM Ali - Journal of Physics …, 2019 - iopscience.iop.org
Breast cancer is one of the most common and alarming diseases for women. With early
detection and diagnosis, the chances of successful treatment and survival would improve …

Curvelet Based Texture Features for Breast Cancer Classifications

SS Yasiran, S Salleh, N Sarmin… - Journal of Physics …, 2021 - iopscience.iop.org
One of the sources of death among women is breast cancer. It is well known that
Mammogram is the best method for breast cancer detection. Subsequently, there are solid …