Machine learning in cybersecurity: a comprehensive survey

D Dasgupta, Z Akhtar, S Sen - The Journal of Defense …, 2022 - journals.sagepub.com
Today's world is highly network interconnected owing to the pervasiveness of small personal
devices (eg, smartphones) as well as large computing devices or services (eg, cloud …

[HTML][HTML] A review on microgrid optimization with meta-heuristic techniques: Scopes, trends and recommendation

A Akter, EI Zafir, NH Dana, R Joysoyal, SK Sarker… - Energy Strategy …, 2024 - Elsevier
Microgrids (MGs) use renewable sources to meet the growing demand for energy with
increasing consumer needs and technological advancement. They operate independently …

Effect of data scaling methods on machine learning algorithms and model performance

MM Ahsan, MAP Mahmud, PK Saha, KD Gupta… - Technologies, 2021 - mdpi.com
Heart disease, one of the main reasons behind the high mortality rate around the world,
requires a sophisticated and expensive diagnosis process. In the recent past, much …

Applications and Evaluations of Bio-Inspired Approaches in Cloud Security: A Review

MM Ahsan, KD Gupta, AK Nag, S Poudyal… - IEEE …, 2020 - ieeexplore.ieee.org
Cloud computing gained much popularity in the recent past due to its many internet-based
services related to data, application, operating system, and eliminating the need for central …

[PDF][PDF] Effect of data scaling methods on machine learning algorithms and model performance. Technologies 2021, 9, 52

MM Ahsan, MAP Mahmud, PK Saha, KD Gupta… - 2021 - dro.deakin.edu.au
Heart disease, one of the main reasons behind the high mortality rate around the world,
requires a sophisticated and expensive diagnosis process. In the recent past, much …

[HTML][HTML] Optimizing Microgrid Performance: Integrating Unscented Transformation and Enhanced Cheetah Optimization for Renewable Energy Management

AS Alghamdi - Electronics, 2024 - mdpi.com
The increased integration of renewable energy sources (RESs), such as photovoltaic and
wind turbine systems, in microgrids poses significant challenges due to fluctuating weather …

An empirical study on algorithmic bias

S Sen, D Dasgupta, KD Gupta - 2020 IEEE 44th Annual …, 2020 - ieeexplore.ieee.org
In all goal-oriented selection activities, an existence of certain level of bias is unavoidable
and may be desired for efficient artificial intelligence based decision support systems …

[Retracted] Multiobjective Optimal Dispatching Method of Generalized Power Active Distribution Network Based on Game Theory

X Fan - Security and Communication Networks, 2021 - Wiley Online Library
To improve the operating dependability of a generalized power active distribution network, a
multiobjective optimal scheduling approach based on game theory is proposed. The active …

ADCR: An Adaptive TOOL to select” Appropriate Developer for Code Review” based on Code Context

N Sadman, MM Ahsan… - 2020 11th IEEE Annual …, 2020 - ieeexplore.ieee.org
Code review is one of the crucial steps in the software development process. Despite having
many experts, assigning the appropriate one is often challenging, time-consuming, and …

[PDF][PDF] Energy Strategy Reviews

A Akter, EI Zafir, NH Dana, R Joysoyal, SK Sarker, L Li… - researchgate.net
Microgrids (MGs) use renewable sources to meet the growing demand for energy with
increasing consumer needs and technological advancement. They operate independently …