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Department of Computer Science and Information Systems: Recent submissions

Now showing items 161-180 of 954

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 ...
CLIM: Co-occurrence with Laplacian Intensity Modulation and Enhanced Color Space Transform for Infrared-Visible Image Fusion

Rohil, Mukesh Kumar (Elsevier, 2023-12)

Thermal infrared and multispectral visible remote sensing image fusion combines thermal image information with corresponding visible scene content to generate a better representative fused image. Thermal images can distinguish ...
Advanced 3D Modeling for Augmented Reality Visualizations in Engineering Education: Issues, Challenges, and Future

Rohil, Mukesh Kumar (IEEE, 2023)

Augmented Reality (AR), the superimposing of a virtual object on the view of the real environment, assists in visualizing engineering concepts in real-time. Computer graphics-based 3D modeling techniques evolved over the ...
VOEDHgesture: A Multi-Purpose Visual Odometry/ Simultaneous Localization and Mapping and Egocentric Dynamic Hand Gesture Data-Set for Virtual Object Manipulations in Wearable Mixed Reality

Rohil, Mukesh Kumar (SciTech, 2024)

Visual Odometry/ Simultaneous Localization and Mapping (VO/ SLAM) and Egocentric hand gesture recognition are the two major technologies for wearable computing devices like AR (Augmented Reality)/ MR (Mixed Reality) glasses. ...
An elliptical sampling based fast and robust feature descriptor for image matching

Rohil, Mukesh Kumar (Springer, 2024-01)

Local features of an image provide a robust way of image matching if they are invariant to large variations in scale, viewpoint, illumination, rotation, and affine transformations. In this paper, we propose a novel feature ...
Fast and robust virtual try-on based on parser-free generative adversarial network

Rohil, Mukesh Kumar (Springer, 2024-01)

Image-based virtual try-on models have recently become popular leading to many new developments, especially in the past three years. The problem of virtual try-on requires trying on a cloth image on a target person’s image. ...
Direct feature extraction and image co-registration of morphological structure from Bayer pattern raw planetary images

Rohil, Mukesh Kumar (Elsevier, 2024-03)

Feature extraction from planetary remote sensing images is a primary image processing task for object recognition, crater counter, morphological structure dimension and unpaired image co-registration. The paper presents a ...
A novel Venus’ visible image processing neoteric workflow for improved planetary surface feature analysis

Rohil, Mukesh Kumar (Springer, 2024-03)

The article presents a novel methodology that comprises of end-to-end Venus’ visible image processing neoteric workflow. The visible raw image is denoised using Tri-State median filter with background dark subtraction, and ...
EgoCentric+: A Multipurpose Data Set for Head-Mounted Wearable Computing Devices

Rohil, Mukesh Kumar (ACM Digital Library, 2024-06)

Detecting the user’s action, anticipating his or her needs and performing realistic virtual and physical world mapping are the major modules for wearable computing devices. However, the wearable computing community lacks ...
Himalayan Glacier and the Possibility of Past Ice Streams on Martian Outflow Channels using Remote Sensing Imagery

Rohil, Mukesh Kumar (IEEE, 2024)

Martian outflow channels are extensive, long features on the planet's surface, running for thousands of kilometers and up to a kilometer deep. Scientific consensus attributes the formation of Martian outflow channels to ...
Monitoring Riparian Vegetation Change Dynamics using Kullback-Leibler Divergence: A Case Study in the Vicinity of Sabarmati River, Gandhinagar, India

Rohil, Mukesh Kumar (IEEE, 2024-07)

Riparian Vegetation monitoring using remote sensing images involves using satellite or aerial imagery to assess the health, extent, and changes in vegetation along water bodies such as rivers and streams. This monitoring ...
An architecture to intertwine augmented reality and intelligent tutoring systems: towards realizing technology-enabled enhanced learning

Rohil, Mukesh Kumar (Springer, 2024-08)

Intelligent Tutoring Systems (ITS) and Augmented Reality (AR) have become greatly popular in current scenario, especially for helping students in mastering difficult subjects through a variety of different methods with the ...

Now showing items 161-180 of 954

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