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Department of Computer Science and Information Systems: Recent submissions

Now showing items 261-280 of 1064

Selection of Apt Renewable Energy Source for Smart Cities using Generalized Orthopair Fuzzy Information

Viswanathan, Sangeetha (IEEE, 2020)

Renewable energy (RE) is a popular and clean source of energy that could potentially reduce carbon footprint and promote sustainable development in smart cities. Developing countries, such as India, have invested time, ...
A Fuzzy Gain-Based Dynamic Ant Colony Optimization for Path Planning in Dynamic Environments

Viswanathan, Sangeetha (MDPI, 2021-01)

Path planning can be perceived as a combination of searching and executing the optimal path between the start and destination locations. Deliberative planning capabilities are essential for the motion of autonomous unmanned ...
Novel Image Compression and Deblocking Approach Using BPN and Deep Neural Network Architecture

Viswanathan, Sangeetha (Springer, 2021-04)

Medical imaging is an important source of digital information to diagnose the illness of a patient. The digital information generated consists of different modalities that occupy more disk space, and the distribution of ...
Energy-efficient green ant colony optimization for path planning in dynamic 3D environments

Viswanathan, Sangeetha (Springer, 2021-01)

With the proliferation in demand for navigation systems for reconnaissance, surveillance, and other day-to-day activities, the development of efficient and robust path planning algorithm is an open challenge. The uncertain ...
Assessment of cloud vendors using interval-valued probabilistic linguistic information and unknown weights

Viswanathan, Sangeetha (Wiley, 2021-05)

Cloud vendors (CVs) play an indispensable role in the development of IT sectors and industry 4.0. Many CVs evolve every day, and a systematic selection of these is becoming substantial for organizations. Literature studies ...
Assessment of an ant-inspired algorithm for path planning

Viswanathan, Sangeetha (Elsevier, 2022)

The demand for path planners for a variety of applications has significantly increased over the past decade. The correct choice of a distance metric will be of utmost importance for an efficient path planner. The underlying ...
Understanding the Effects of Ant Algorithms on Path Planning with Gain-Ant Colony Optimization

Viswanathan, Sangeetha (ACM Digital Library, 2022-06)

With the advent of more automated and unmanned systems, there is an increasing need for path planners. Intelligent path planners play an important role in the navigation of automated systems. In this work, the performance ...
Anomaly-based Intrusion Detection using GAN for Industrial Control Systems

Viswanathan, Sangeetha (IEEE, 2022)

In recent years, cyber-attacks on modern industrial control systems (ICS) have become more common and it acts as a victim to various kind of attackers. The percentage of attacked ICS computers in the world in 2021 is 39.6%. ...
A Hybrid Gain-Ant Colony Algorithm for Green Vehicle Routing Problem

Viswanathan, Sangeetha (IEEE, 2022)

Increasing carbon emissions, and thus footprint, is one of the main reasons for the imbalance in environmental sustainability, which is primarily contributed to transportation. Transportation is a core functionality of ...
Solving Vehicle Routing Problem Using a Hybridization of Gain-Based Ant Colony Optimization and Firefly Algorithms

Viswanathan, Sangeetha (Springer, 2023)

Vehicle Routing Problem is one of the classical NP hard and combinatorial optimization problems that has been a spark of interest in the operation research domain. Though many variations of classical VRP are being developed, ...
GAN-Based Anomaly Intrusion Detection for Industrial Controller System

Viswanathan, Sangeetha (Springer, 2023)

Industrial controller system (ICS) is becoming more and more important in daily lives. In recent years, ICS has become more frequent targets of cyberattacks. In addition to the system, the environment is also significantly ...
Classifying DNS over HTTPS Malicious/Benign Traffic Using Deep Learning Models

Viswanathan, Sangeetha (IEEE, 2023)

As we live in an era where privacy over the Internet has become rudimentary, protocols like DNS over HTTPS (DoH) and DNS over TLS (DoT), which promote encryption, have become popular. While these protocols were introduced ...
On the Universality of Deep Contextual Language Models

Goyal, Poonam (2021-12)

Deep Contextual Language Models (LMs) like ELMO, BERT, and their successors dominate the landscape of Natural Language Processing due to their ability to scale across multiple tasks rapidly by pre-training a single model, ...
bitsa_nlp@LT-EDI-ACL2022: Leveraging Pretrained Language Models for Detecting Homophobia and Transphobia in Social Media Comments

Goyal, Poonam (2022)

Online social networks are ubiquitous and user-friendly. Nevertheless, it is vital to detect and moderate offensive content to maintain decency and empathy. However, mining social media texts is a complex task since users ...
CranGAN: Adversarial Point Cloud Reconstruction for patient-specific Cranial Implant Design

Goyal, Poonam (IEEE, 2022)

Automatizing cranial implant design has become an increasingly important avenue in biomedical research. Benefits in terms of financial resources, time and patient safety necessitate the formulation of an efficient and ...
Advanced Intelligent Tutoring Systems: Featuring the Learning Management Systems of the Future

Rohil, Mukesh Kumar (Springer, 2024)

An Intelligent Tutoring System (ITS) is employed with two goals in mind: (1) to deliver one-on-one smart teaching guidance that is superior to standard computer-assisted education and a skilled human instructor, and (2) ...
SPRINT: Spectra Preserving Radiance Image Fusion Technique using holistic deep edge spatial attention and Minnaert guided Bayesian probabilistic model

Rohil, Mukesh Kumar (Elsevier, 2023-04)

Remote Sensing Image Fusion produces a high resolution multispectral image by merging panchromatic image with the corresponding low resolution multispectral counterpart. The limitation of the existing image fusion techniques ...
Exploring Possible Applications of ORB SLAM 2 in Education, Healthcare, and Industry: Insights into the Challenges, Features, and Effects

Rohil, Mukesh Kumar (IEEE, 2023)

In this research we explore the ORB SLAM 2 which is a state-of-the-art algorithm for Simultaneous Localization and Mapping (SLAM) and which has been a cornerstone of SLAM Algorithm developments. In this paper, we highlight ...
MIRACLE: multi-satellite Island image registration using anisotropic coherence locality enhanced nonlinear diffusion and Mahalanobis distance guided marginalization

Rohil, Mukesh Kumar (Taylor & Francis, 2023-07)

Feature in an image plays a crucial role for geometric image registration. The geo-registration problem becomes difficult for scanty feature islands’ images captured by high and medium spatial resolution remote sensing ...
Utilization of Augmented Reality Visualizations in Healthcare Education: Trends and Future Scope

Rohil, Mukesh Kumar (IEEE, 2023)

Augmented reality (AR) is a recent technology with applications in multiple sectors, including the healthcare industry. AR incorporates (or overlays) digital or computer-generated data such as audio, video, images, and ...

Now showing items 261-280 of 1064

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