Bhawna Goyal

30 papers C 1Journal 28Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Design and Development of a Multi-Functional Antenna With Reactive Impedance Surface for Smart Helmets/Caps.
Int. J. Commun. Syst.
Maksud Alam, Sachin Kumar, Mainuddin, Om Prakash Kumar, Bhawna Goyal, Samah Alshathri, Walid El Shafai
2026 J jnl
Intrusion-Resilient Intelligent Routing in VANETs Using Dynamic Optimization.
SN Comput. Sci.
Mahran Al-Zyoud, Yagna B. Adhyaru, Cheerla Padmini, Gaganjot Kaur, Pradeep Kumar Mishra, Bhawna Goyal, Satish Kumar Samal, J. Albert Mayan
2025 J jnl
Active Multifunctional Frequency Selective Surfaces: An Insight Into Design, Behavior Analysis, and Applications.
IEEE Access
Harienthiran Maheswaran, Gulam Nabi Alsath Mohammed, Geethanjali Govindarajan, Kanagasabai Malathi, Kirubaveni Savarimuthu, Sandeep Kumar Palaniswamy, Sachin Kumar, Bhawna Goyal, Mousa I. Hussein
2025 J jnl
Design and Implementation of High Isolation Textile MIMO Antenna for Wearable Applications.
Int. J. Commun. Syst.
Sanjeev Kumar, Kunal Srivastava, Sachin Kumar, Deepti Sharma, Rakesh Nath Tiwari, Abhishek Kandwal, Mahesh K. Singh, Bhawna Goyal
2025 J jnl
From Spatial Domain to Patch-Based Models: A Comprehensive Review and Comparison of Multimodal Medical Image Denoising Algorithms.
Comput. Mater. Continua
Apoorav Sharma, Ayush Dogra, Bhawna Goyal, Archana Saini, Vinay Kukreja
2025 J jnl
Image segmentation review: Theoretical background and recent advances.
Inf. Fusion
Khushmeen Kaur Brar, Bhawna Goyal, Ayush Dogra, Mohammed Ahmed Mustafa, Rana Majumdar, Ahmed Alkhayyat, Vinay Kukreja
2024 J jnl
A three stage integrated denoising approach for grey scale images.
J. Ambient Intell. Humaniz. Comput.
Bhawna Goyal, Ayush Dogra, Sunil Agrawal, Balwinder Singh Sohi
2024 J jnl
Multi-Class Skin Cancer Detection Using Fusion of Textural Features Based CAD Tool.
Comput. Mater. Continua
Khushmeen Kaur Brar, Bhawna Goyal, Ayush Dogra, Sampangi Rama Reddy, Ahmed Alkhayyat, Rajesh Singh, Manob Jyoti Saikia
2024 J jnl
Recent advances in image dehazing: Formal analysis to automated approaches.
Inf. Fusion
Bhawna Goyal, Ayush Dogra, Dawa Chyophel Lepcha, Vishal Goyal, Ahmed Alkhayyat, Jasgurpreet Singh Chohan, Vinay Kukreja
2023 J jnl
A deep journey into image enhancement: A survey of current and emerging trends.
Inf. Fusion
Dawa Chyophel Lepcha, Bhawna Goyal, Ayush Dogra, Kanta Prasad Sharma, Deena Nath Gupta
2023 J jnl
Image Matting: A Comprehensive Survey on Techniques, Comparative Analysis, Applications and Future Scope.
Int. J. Image Graph.
Dawa Chyophel Lepcha, Bhawna Goyal, Ayush Dogra
2023 J jnl
Image super-resolution: A comprehensive review, recent trends, challenges and applications.
Inf. Fusion
Dawa Chyophel Lepcha, Bhawna Goyal, Ayush Dogra, Vishal Goyal
2023 — conf
Preserving Heritage Palaces: A Deep Learning CNN-SVM Hybrid Approach for Multi-classification.
ICCCNT
Deepak Kumar, Yash Kumar, Vinay Kukreja, Shanmugasundram Hariharan, Bhawna Goyal, Aditya Verma
2022 J jnl
A weighted least squares optimisation strategy for medical image super resolution via multiscale convolutional neural networks for healthcare applications.
Complex Intell. Syst.
Bhawna Goyal, Dawa Chyophel Lepcha, Ayush Dogra, Shui-Hua Wang
2022 J jnl
An effective nonlocal means image denoising framework based on non-subsampled shearlet transform.
Soft Comput.
Bhawna Goyal, Ayush Dogra, Arun Kumar Sangaiah
2022 J jnl
Computer-aided architectural design optimization based on BIM Technology.
Informatica (Slovenia)
Haiyan Fan, Bhawna Goyal, Kayhan Zrar Ghafoor
2022 J jnl
Multi-modality image fusion for medical assistive technology management based on hybrid domain filtering.
Expert Syst. Appl.
Bhawna Goyal, Ayush Dogra, Dawa Chyophel Lepcha, Deepika Koundal, Adi Alhudhaif, Fayadh Alenezi, Sara A. Althubiti
2021 J jnl
An Efficient Medical Assistive Diagnostic Algorithm for Visualisation of Structural and Tissue Details in CT and MRI Fusion.
Cogn. Comput.
Bhawna Goyal, Ayush Dogra, Rahul Khoond, Fadi Al-Turjman
2021 C conf
Denoising Hyperspectral Imageries with Split-Bregman Iteration Scheme.
ISDA
Satwinder Kaur, Bhawna Goyal, Ayush Dogra
2020 J jnl
An efficient image integration algorithm for night mode vision applications.
Multim. Tools Appl.
Ayush Dogra, Seifedine Nimer Kadry, Bhawna Goyal, Sunil Agrawal
2020 J jnl
Enhanced vascular and osseous information fusion: disagreement of quantitative and qualitative analysis.
Neural Comput. Appl.
Ayush Dogra, Bhawna Goyal, Sunil Agrawal, Urcun John Tanik, Sanjeev Kumar, Ramesh Sunder Nayak
2020 J jnl
From pyramids to state-of-the-art: a study and comprehensive comparison of visible-infrared image fusion techniques.
IET Image Process.
Apoorav Sharma, Ayush Dogra, Bhawna Goyal, Renu Vig, Sunil Agrawal
2020 J jnl
Image denoising review: From classical to state-of-the-art approaches.
Inf. Fusion
Bhawna Goyal, Ayush Dogra, Sunil Agrawal, Balwinder Singh Sohi, Apoorav Sharma
2018 J jnl
Osseous and digital subtraction angiography image fusion via various enhancement schemes and Laplacian pyramid transformations.
Future Gener. Comput. Syst.
Ayush Dogra, Bhawna Goyal, Sunil Agrawal
2018 J jnl
Two-dimensional gray scale image denoising via morphological operations in NSST domain & bitonic filtering.
Future Gener. Comput. Syst.
Bhawna Goyal, Ayush Dogra, Sunil Agrawal, Balwinder Singh Sohi
2017 J jnl
Bone vessel image fusion via generalized reisz wavelet transform using averaging fusion rule.
J. Comput. Sci.
Ayush Dogra, Bhawna Goyal, Sunil Agrawal
2017 J jnl
Dual Way Residue Noise Thresholding along with feature preservation.
Pattern Recognit. Lett.
Bhawna Goyal, Ayush Dogra, Sunil Agrawal, Balwinder Singh Sohi
2017 J jnl
Efficient fusion of osseous and vascular details in wavelet domain.
Pattern Recognit. Lett.
Ayush Dogra, Bhawna Goyal, Sunil Agrawal, Chirag Kamal Ahuja
2017 J jnl
From Multi-Scale Decomposition to Non-Multi-Scale Decomposition Methods: A Comprehensive Survey of Image Fusion Techniques and Its Applications.
IEEE Access
Ayush Dogra, Bhawna Goyal, Sunil Agrawal
2016 J jnl
Color and grey scale fusion of osseous and vascular information.
J. Comput. Sci.
Ayush Dogra, Sunil Agrawal, Bhawna Goyal, Niranjan Khandelwal, Chirag Kamal Ahuja