Edge assisted crime prediction and evaluation framework for machine learning algorithms

A Adhikary, SA Murad, MS Munir… - 2022 International …, 2022 - ieeexplore.ieee.org
The growing global populations, particularly in major cities, have created new problems,
notably in terms of public safety regulation and optimization. As a result, in this paper, a …

A deep Spatio-temporal network for vision-based sexual harassment detection

MS Islam, MM Hasan, S Abdullah… - 2021 Emerging …, 2021 - ieeexplore.ieee.org
Smart surveillance systems can play a significant role in detecting sexual harassment in real-
time for law enforcement which can reduce the sexual harassment activities. Real-time …

Impact learning: A learning method from feature's impact and competition

NJ Prottasha, SA Murad, AJM Muzahid, M Rana… - Journal of …, 2023 - Elsevier
Abstract Machine learning is the study of computer algorithms that can automatically
improve based on data and experience. Machine learning algorithms build a model from …

[PDF][PDF] AI powered asthma prediction towards treatment formulation: An android app approach

SA Murad, A Adhikary, AJM Muzahid… - … Automation & Soft …, 2022 - researchgate.net
Asthma is a disease which attacks the lungs and that affects people of all ages. Asthma
prediction is crucial since many individuals already have asthma and increasing asthma …

Optimal safety planning and driving decision-making for multiple autonomous vehicles: A learning based approach

AJM Muzahid, MA Rahim, SA Murad… - 2021 Emerging …, 2021 - ieeexplore.ieee.org
In the early diffusion stage of autonomous vehicle systems, the controlling of vehicles
through exacting decision-making to reduce the number of collisions is a major problem …

Comparative study on job scheduling using priority rule and machine learning

SA Murad, ZRM Azmi, AJM Muzahid… - 2021 Emerging …, 2021 - ieeexplore.ieee.org
Cloud computing is a potential technique for running resource-intensive applications on a
wide scale. Implementation of a suitable scheduling algorithm is critical in order to properly …

A conceptual anonymity model to ensure privacy for sensitive network data

NHM Arafat, MI Pramanik, AJM Muzahid… - 2021 Emerging …, 2021 - ieeexplore.ieee.org
In today's world, a great amount of people, devices, and sensors are well connected through
various online platforms, and the interactions between these entities produce massive …

The Development and Deployment of an Online Exam System: A Web Application

MM Islam, SK Nabil, SA Murad… - Asian Journal of …, 2023 - asian.go4publish.com
The rapid advancements in computer technology and the internet's acceptance in every
aspect of our lives, particularly in recent years, have made students and instructors vital in …

[PDF][PDF] Unveiling Text Mining Potential: A Comparative Analysis of Document Classification Algorithms

S Penchala, SA Murad, I Roy, B Gupta… - Proceedings of 39th …, 2024 - researchgate.net
The importance of document classification has grown significantly in recent years, mostly
due to the rise in digital data volumes. Since textual documents often contain more than 80 …

A Comparative Study on Different Machine Learning Techniques in Diabetes Risk Assessment

M Akther, ZR Chowdhury, A Tabassum… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Diabetes is a chronic disease in which the body's ability to process glucose is impaired due
to insufficient insulin production or utilization. This can result in high blood sugar levels and …