Charan Kumari

• Dayalbagh Educational Institute

As per World Health Organization (WHO) Lung cancer accounts for 1.8 million fatalities annually. Tobacco smoking is the major cause for around 85% of cases, with other factors being second-hand smoke, air pollution, and specific genetic mutations. Despite the availability of treatments, early detection is crucial yet often hindered by late diagnosi...

The global health is heavily impacted by Oral Squamous Cell Carcinoma (OSCC), marked by high mortality rates often due to late diagnoses. This research delves into leveraging Convolutional Neural Networks for the early detection of OSCC. The model's architecture is intricately designed to discern critical features of OSCC, incorporating convolution...

Globally Skin cancer accounts for millions of new cases annually posing a significant threat to public health, emphasizing the importance of timely detection to enhance patient outcomes and decrease mortality rates. In this research article an AI convolutional neural network (CNN) model for the detection and classification of skin lesions into beni...

Steganography, a subset of data hiding techniques, seeks to conceal sensitive information within any form of digital media. The goal of a steganographyplan at the sender's end is to incorporate a secret message into an innocent-looking image or any other file format known as a cover object. Meanwhileat the receiver’s side its goal is to extract the...

Lung cancer remains a significant global health challenge despite advancements in medical science and technology. In 2020, it became the leading cause of cancer-related deaths, prompting a critical need for improved detection and prevention strategies. Computed Tomography (CT) imaging has shown promise in early lung cancer diagnosis due to its high...

Food waste is a serious global problem that has significant environmental, economical, and social consequences. Many measures to decrease food waste have been proposed in recent years, including the creation of leftover food management systems. This study presents a web application-based leftover food management system with three modules: donors, n...

ContextRisks associated with software projects play a significant role on delivery of software projects within a given budget. These risks are due to volatility in project requirements, availability of experienced personnel, ever-changing technology and many more project cost factors. Effort spent on managing the risks is termed as the risk exposur...

Software Product Line (SPL) customizes software by combining various existing features of the software with multiple variants. The main challenge is selecting valid features considering the constraints of the feature model. To solve this challenge, a hybrid approach is proposed to optimize the feature selection problem in software product lines. Th...

In the present day, blockchain technology has been established as a wide-reaching phenomenon recognized by an astounding number of people. Nonetheless, past all the clamor and publications, a large number of individuals have an extremely constricted understanding of it. This paper blends and abridges the attributes that institute it as a prominent...

Background Software Product Line is the group of multiple software systems which share the similar set of features with multiple variants. Feature model is used to capture and organize features used in different multiple organization. Objective The objective of this research article is to obtain an optimized subset of features which are capable of...

Web service compositions are commendable in structuring innovative applications for different Internet-based business solutions. The existing services can be reused by the other applications via the web. Due to the availability of services that can serve similar functionality, suitable Service Composition (SC) is required. There is a set of candida...

Typically, the Internet of Things (IoT) incorporates the provisioning of powerfully adaptable and virtualized things such as cameras, sensors as valuable resources over the Internet. There are different types of services that can be combined to meet user demands. Capturing the user requirements and composing various services from the existing set o...

The Software Product Line (SPL) is the mandatory requirement of software industry as SPL minimizes the use of resources, reduces the cost of the system and maximizes the possibility of achieving the objective. The challenge with SPL is that it is exponential to number of features, hence there arises need to optimize the system. The metaheuristic al...

This research work proposes a lens less secure symmetric image encryption system using a novel chaotic deterministic phase mask (CDPM) in the light of Fresnel transform (FrT) deploying singular value decomposition (SVD). Here, two CDPM’s are used instead of random phase masks (RPM) in Fresnel transform based double random phase encoding (DRPE) sche...

Several software effort estimation techniques based on mathematical formulations have been proposed, however there is little consensus on the best technique for effort estimation, which can predict the estimated effort optimally for any given project. Much research has been carried out in finding out the most suitable parameter values for accurate...

Internet of Things (IoT) provides an innovative worldwide view to the things which are fit for communicating with one another. Each thing like temperature sensor, pressure sensor provides its functionality in the form of web service on the Internet. As the number of things connecting to the IoT network are increasing, thus one of the important chal...

Objectives The modern science applications have non-continuous and multivariate nature due to which the traditional optimization methods suffer a lack of efficiency. Flower pollination is a natural interesting procedure in the real world. The novel optimization algorithms can be designed by employing the evolutionary capability of the flower pollin...

There is now an increasing awareness about the possibility of health hazards due to excessive electromagnetic radiations around us within the indoor environment. Hence, the alternative communication technologies such as indoor mobile communication system based on LED lighting are gaining more attention in the present scenario. The dual use of LEDs...

This paper analyzes the performance of the LED placement strategies based on different geometrical shapes for a pre-determined average bit error ratio. The optimally designed LED patterns have been investigated to understand the system's energy efficiency in the full receiver mobility scenario for an indoor mobile visible light communication (VLC)...

This research work proposes a novel asymmetric scheme by utilizing the hybrid phase truncated fractional Fourier and Gyrator transform with the secure enhancement by adding Kronecker product as a key. In this cryptosystem, the encryption keys constitute Hybrid Phase Mask along with the Optical Vortex Phase Mask and Kronecker product as the other ke...

The Internet of Things (IoT) is a novel technology that has opened doors to the new level of interaction between the things. This has resulted in an enhancement in the quality of life and optimized use of various resources. IoT uses various technologies related to networking, sensing, databases and artificial intelligence to enhance the lifestyle a...

The light emitting diode (LED) based lighting systems can be used for creation of the indoor communication network for sending information besides serving its main purpose of illumination. However, there are a number of impediments which are still under resolution in order to realize the full potential of such a system. In particular, the visible l...

In this paper, we study a mobile indoor visible light communication system that can be used for the creation of the indoor network infrastructure for sending information besides serving its main purpose of illumination. It uses visible light communication technology where the light-emitting diodes (LEDs) are deployed on the ceiling of the room and...

Software Product Line (SPL) is used to represent similar systems with multiple variants. Software product line plays a big role in minimizing cost, utilization of resource and maximizes chances to achieve the objective(s). Feature model is used to represent SPL. In our paper, the genetic algorithm is applied for feature optimization in software pro...

This paper presents an automated and efficient model of Public Distribution System (PDS) using biometric based authentication and networking through a micro-controller. Public Distribution System, also termed as rationing distribution system, is one of the widely disputable area with a scope for many malpractices. The existing ration distribution s...

The state-of-the-art on internet of things (IoT), deals with its definition, its architecture, ontology of its components, networking and middleware. IoT contains a large number of devices which are placed around the world. Every device provides an IoT service. As devices joining the IoT are increasing, the services are also rising proportionately....

The maximization of the system performance in a typical indoor visible light communication system is a major challenge while minimizing the overall resources for the deployment. The intelligent smart lighting systems can be optimized to reduce the requirement of various resources without compromising on the system performance. In this paper, we inv...

In the software maintenance phase of software development life cycle, one of the main concerns of software engineers is to group the modules into clusters with maximum cohesion and minimum coupling. To analyze the efficacy of Multi-objective Hyper-heuristic Evolutionary Algorithm (MHypEA) in solving real-world clustering problems and to compare the...

Context In requirements engineering phase of the software development life cycle, one of the main concerns of software engineers is to select a set of software requirements for implementation in the next release of the software from many requirements proposed by the customers, while balancing budget and customer satisfaction. Objective To analyse...

This paper presents a Multi-objective Hyper-heuristic Evolutionary Algorithm (MHypEA) for the solutionof Scheduling and Inspection Planning in Software Development Projects. Scheduling and Inspectionplanning is a vital problem in software engineering whose main objective is to schedule the persons tovarious activities in the software development pr...

This paper presents a Fast Multi-objective Hyper-heuristic Genetic Algorithm (MHypGA) for the solution of Multi-objective Software Module Clustering Problem. Multi-objective Software Module Clustering Problem is an important and challenging problem in Software Engineering whose main goal is to obtain a good modular structure of the Software System....

Multi-Objective Next Release Problem (MONRP) is an important software requirements optimization problem in Search-Based Software Engineering. As the customer requirements varies from time to time, often software products are required to incorporate these changes. It is a hard task to optimize the requirements from a large number of candidates, for...

This paper presents the solution for multi-objective test suite minimisation problem using Quantum-inspired Multi-objective differential Evolution Algorithm. Multi-objective test suite minimisation problem is to select a set of test cases from the available test suite while optimizing the multi objectives like code coverage, cost and fault history....

This paper presents a Quantum-inspired Multi-objective Differential Evolution Algorithm (QMDEA) for the selection of software requirements, an issue in Requirements engineering phase of software development life cycle. Generally the software development process is iterative or incremental in nature, as request for new requirements keep coming from...

This paper proposes a Quantum-inspired Elitist Multi-objective Evolutionary algorithm (QEMEA) for software requirements selection, a problem in search based software engineering. Most often software product developments are iterative and incremental in their nature, due to the changes in the customer requirements from time to time. It is a challeng...