Sandeep Kumar

Weight driven position update artificial bee colony algorithm

2016

Artificial Bee Colony Algorithm (ABC) is very popular algorithm inspired by intelligent food foraging behavior of honey bee in class of nature inspired algorithms. This paper put forward a new algorithm named as Weight driven …

Exploring K-means clustering and skyline for web service selection

2016

During the last decade, an exponential growth of web services is observed over the Internet. This offers a big challenge for the web service based systems to make the optimal selection of the desired web …

Analyzing Effect of Ensemble Models on Multi-Layer Perceptron Network for Software Effort Estimation

2019

Effort Estimation is a very challenging task in the software development life cycle. Inaccurate estimations may cause client dissatisfaction and thereby, decrease the quality of the product. Considering the problem of software cost and effort …

DeepCatch: Predicting Return Defaulters in Taxation System using Example-Dependent Cost-Sensitive Deep Neural Networks

2020

Tax evasion is most common in several nations. Taxpayers evade tax by using thoughtful and well-considered techniques, which hinders the economic progress of the nation. Delaying the filing of returns by taxpayers is the most …

Non-singular Transformation Based Encryption Scheme

2021 · International Journal of Mathematical Sciences and Computing

In this paper, we propose a novel variant of the Hill cipher based on vector spaces. In the classical Hill cipher, a non-singular matrix is used for encryption but it is well known that this …

Implementing Three Factors Authentication System (3FA) to Maintain Employee Attendance Record to Enhance Security

2023

Today as we all know that maintaining of employee credential have been some major issues around the world. Finding it more difficult to keep track of employees. With this, the company, institution, or government entity …

Comprehensive Survey of QML: From Data Analysis to Algorithmic Advancements

2025 · arXiv (Cornell University)

Quantum Machine Learning represents a paradigm shift at the intersection of Quantum Computing and Machine Learning, leveraging quantum phenomena such as superposition, entanglement, and quantum parallelism to address the limitations of classical approaches in processing …

Automated Tuning of Machine Learning Parameters Using Quantum Evolutionary Algorithms

2024

Optimizing machine learning (ML) models often involves tuning various hyper parameters to achieve optimal performance. Traditional methods for optimization, such as grid search and random search, are not always effective in navigating the extensive space …

Smarter Governance: How Business AI Is Shaping The Future Of Public Services

2025 · Journal of International Crisis and Risk Communication Research

The adoption of Business Artificial Intelligence (AI) in public governance is restructuring how agencies plan, decide, and deliver services. This article discusses the complex implications of AI deployment across government functions, from citizen service delivery …