TARU PUBLICATIONS
Author

V. Dankan Gowda

Department of Electronics and Communication Engineering BMS Institute of Technology and Management, Bangalore, Karnataka, 560119, India

Published papers
24
Citations
143
Views
4,241
Downloads
260

Publications

24 papers
Open Access Research Article·pp. 2281–2291·Vol. 47, Issue 6Jun 2026

Mathematical computing techniques for enhancing image processing in complex systems

V. Dankan Gowda, B. C. Kavitha, Madan Mohanrao Jagtap, P. Ramesh Naidu, K.D.V. Prasad, Sampathirao Suneetha

Published Online: 01 Jun 2026DOI: 10.47974/JIOS-2122

In this paper: This paper explores mathematical computing methods of enhancing image processing in complicated systems through noise robustness, outline sharpness and processing speed. Conventional techniques have a...

AbstractReferencesFull Text PDF (805 KB)Views: 52Downloads: 12Citations: 0
Open Access Research Article·pp. 2305–2317·Vol. 47, Issue 6Jun 2026

Computational mathematics for improving IoT network efficiency and resource management

V. Dankan Gowda, Madan Mohanrao Jagtap, M. V. Kavitha, S. B. Manoj Kumar, K.D.V. Prasad, Sampathirao Suneetha

Published Online: 01 Jun 2026DOI: 10.47974/JIOS-2124

In this paper: Network densification has rapidly emerged as a critical aspect of the IoT since IoT networks are rapidly expanding, and there are immense difficulties in allocating resources, controlling latency, and...

AbstractReferencesFull Text PDF (665 KB)Views: 55Downloads: 13Citations: 0
Open Access Research Article·pp. 2453–2463·Vol. 47, Issue 6Jun 2026

Advanced signal processing with mathematical algorithms for noise reduction and data reconstruction

V. Dankan Gowda, N. Suganthi, Madan Mohanrao Jagtap, Sampada Abhijit Dhole, Jayamala Kumar Patil, K.D.V. Prasad

Published Online: 01 Jun 2026DOI: 10.47974/JIOS-2123

In this paper: To enhance noise compensation as well as the recovery of data, this paper enhances a better signal processing platform depending on the Fourier Transform, Wavelet Transform and Kalman Filtering. Simil...

AbstractReferencesFull Text PDF (430 KB)Views: 69Downloads: 17Citations: 0
Open Access Research Article·pp. 2279–2289·Vol. 46, Issue 7Oct 2025

Mathematical modeling for fault detection and anomaly identification in IoT networks

V. Dankan Gowda, Prashant A Athavale, Shilpa K Gowda, Annepu Arudra, Hariprasad Soni, R. Shekhar, Raghavendra M

Published Online: 01 Oct 2025DOI: 10.47974/JIOS-2131

In this paper: The exponential increase in IoT networks and devices raises a lot of challenges in achieving system dependability and efficiency especially in fault diagnosis and anomaly detection. The current resear...

AbstractReferencesFull Text PDF (862 KB)Views: 91Downloads: 9Citations: 0
Open Access Research Article·pp. 2363–2374·Vol. 46, Issue 7Oct 2025

Enhancing IoT security through encrypted image processing for intelligent surveillance system

Anjali Sandeep Gaikwad, V. Dankan Gowda, Prashant A Athavale, J. Latha, Hariprasad Soni, B. C. Kavitha, Erdal Buyukbicakci

Published Online: 01 Oct 2025DOI: 10.47974/JIOS-2133

In this paper: The growing use of Intelligent surveillance systems based on Internet-of-Things (IoT) devices, the issue of security of sensitive visual information, e.g. privacy, ascends to the top of the agenda. We...

AbstractReferencesFull Text PDF (512 KB)Views: 157Downloads: 11Citations: 0
Open Access Research Article·pp. 2389–2400·Vol. 46, Issue 7Oct 2025

Artificial intelligence and machine learning approaches for secure image recognition in IoT networks

Kirti Rahul Kadam, V. Dankan Gowda, Pritish Kakkar, Debanjan Nag, Kaushika Pal, Ananda K., Erdal Buyukbicakci

Published Online: 01 Oct 2025DOI: 10.47974/JIOS-2132

In this paper: The extremely fast expansion of Internet-of-Things (IoT) networks has generated high security concerns, in particular for the integrity and privacy of image data. Private image recognition is essentia...

AbstractReferencesFull Text PDF (1.1 MB)Views: 151Downloads: 10Citations: 0
Open Access Research Article·pp. 2289–2299·Vol. 28, Issue 6Sep 2025

Mathematical models for noise reduction in IoT image processing applications

V. Dankan Gowda, Pratik Gite, Nethravathi H. M., Prasanna Kumar Lakineni, K.D.V. Prasad, Shyamsunder Chitta

Published Online: 30 Sep 2025DOI: 10.47974/JIM-2371

In this paper: IoT has opened the floodgates the importance use of image processing in areas like surveillance, auto-navigating vehicles, and smart healthcare. Nonetheless, noise in IoT-generated images largely dist...

AbstractReferencesFull Text PDF (591 KB)Views: 189Downloads: 11Citations: 0
Open Access Research Article·pp. 1505–1515·Vol. 28, Issue 5-AAug 2025

Implementing secure cryptographic protocols in 5G and 6G networks

V. Dankan Gowda, N. Suganthi, V. Nuthan Prasad, Manoj Tarambale, Pullela SVVSR Kumar, A. Muthusamy

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2149

In this paper: This paper focuses on the importance of secure cryptographic principles in the modern and future 5G, but also in the emerging 6G networks. As the connectivity and the rate of data transmission rise, t...

AbstractReferencesFull Text PDF (551 KB)Views: 133Downloads: 9Citations: 0
Open Access Research Article·pp. 1517–1526·Vol. 28, Issue 5-AAug 2025

Homomorphic encryption performance in secure data processing for machine learning

V. Dankan Gowda, V. Praveena, M. Nagabhushanam, Pullela SVVSR Kumar, Christian Rafael Quevedo Lezama, Disha Pathak

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2150

In this paper: In terms of data privacy and security especially in the development of machine learning HE has the potential to solve it. This paper focuses on homomorphic encryption as a method for secure data proce...

AbstractReferencesFull Text PDF (699 KB)Views: 109Downloads: 8Citations: 0
Open Access Research Article·pp. 1527–1536·Vol. 28, Issue 5-AAug 2025

A novel cryptographic approach to evaluate the security of federated learning frameworks

V. Dankan Gowda, Sadashiva V. Chakrasali, Pullela SVVSR Kumar, Sampada Abhijit Dhole, Jayamala Kumar Patil, Shivoham Singh

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2151

In this paper: Federated Learning (FL) has turned out to be one of the most useful techniques for enabling distributed machine learning while protecting the data. Thirdly, because FL is distributed, the introduced f...

AbstractReferencesFull Text PDF (921 KB)Views: 145Downloads: 7Citations: 0
Open Access Research Article·pp. 1335–1346·Vol. 46, Issue 4-BMay 2025

Real time image analytics in IoT networks : Statistical and AI models for efficient processing

V. Dankan Gowda, Galiveeti Poornima, H. L. Parashivamurthy, Sampathirao Suneetha, K.D.V. Prasad, Shyamsunder Chitta

Published Online: 01 May 2025DOI: 10.47974/JIOS-1994

In this paper: The utilization of real time image analysis within the IoT networks has received increased interest because of the high demand of visual information that will support applications like smart cities, i...

AbstractReferencesFull Text PDF (555 KB)Views: 134Downloads: 12Citations: 1
Open Access Research Article·pp. 1357–1368·Vol. 46, Issue 4-BMay 2025

Real time data fusion and mathematical modeling techniques for intelligent IoT systems

V. Dankan Gowda, Pratik Gite, Shashikala Salekoppalu Venkataramu, Madan Mohanrao Jagtap, K.D.V. Prasad, Shyamsunder Chitta

Published Online: 01 May 2025DOI: 10.47974/JIOS-1995

In this paper: In the context of IoT, both system integration and real-time processing, diverse sensor data are essential for creating smart and adaptive systems. This paper introduces a complete set of algorithms f...

AbstractReferencesFull Text PDF (660 KB)Views: 191Downloads: 10Citations: 0
Open Access Research Article·pp. 915–925·Vol. 46, Issue 4-AMay 2025

Optimizing homomorphic encryption for machine learning operations in cloud computing

V. Dankan Gowda, Shivoham Singh, Pullela SVVSR Kumar, Krishna Kant Dave, Hemant Kothari, T. Thiruvenkadam

Published Online: 01 May 2025DOI: 10.47974/JIOS-1817

In this paper: This paper will establish how integration of machine learning operation in to cloud computing has greatly enhanced data processing and Analysis. However, data privacy and security has been tricky to a...

AbstractReferencesFull Text PDF (483 KB)Views: 172Downloads: 8Citations: 0
Open Access Research Article·pp. 927–937·Vol. 46, Issue 4-AMay 2025

Enhancing machine learning robustness against adversarial attacks through cryptographic techniques

V. Dankan Gowda, Pullela SVVSR Kumar, Praveen Damacharla, Manoj Tarambale, Prasanna Kumar Lakineni, Kalavakolanu Sripathi

Published Online: 01 May 2025DOI: 10.47974/JIOS-1818

In this paper: This paper focuses with the issue of adversarial attacks on machine learning models, and also provides a possible solution to improve the model’s robustness through the use of cryptographic solutions....

AbstractReferencesFull Text PDF (594 KB)Views: 332Downloads: 12Citations: 0
Open Access Research Article·pp. 675–687·Vol. 27, Issue 2-BMar 2024

Mathematical analysis of wavelet-based multi-image compression in medical diagnostics

V. Dankan Gowda, Y. N. Sunitha, Sadashiva V. Chakrasali, K.D.V. Prasad, Parismita Sarma, Mirzanur Rahman

Published Online: 11 Apr 2024DOI: 10.47974/JDMSC-1912

In this paper: Accurate diagnosis and well-informed treatment choices are only possible with the help of sophisticated medical imaging technology. The introduction of digital imaging methods has led to a dramatic ri...

AbstractReferencesFull Text PDF (690 KB)Views: 219Downloads: 10Citations: 5
Open Access Research Article·pp. 293–304·Vol. 27, Issue 2-AMar 2024

Cryptographic image-based data security strategies in wireless sensor networks

V. Dankan Gowda, D. Palanikkumar, Sajja Suneel, Satish Dekka, T. Thiruvenkadam, K.D.V. Prasad

Published Online: 06 Apr 2024DOI: 10.47974/JDMSC-1883

In this paper: There is need to develop and create new data protection mechanisms aimed at the compensating for the lack of security of WSNs. This paper introduces new cryptographic image-based techniques aimed at i...

AbstractReferencesFull Text PDF (946 KB)Views: 323Downloads: 11Citations: 11
Open Access Research Article·pp. 317–328·Vol. 27, Issue 2-AMar 2024

Securing digital authentication with cryptographic innovations in intrinsic verification systems

V. Dankan Gowda, Sajja Suneel, Mirzanur Rahman, Gobinda Chandra Das, R. Senthil Kumar, K.D.V. Prasad

Published Online: 06 Apr 2024DOI: 10.47974/JDMSC-1885

In this paper: In the digital era, authentication system’s security is crucial. This paper discusses the issue of improving digital authentication from the position of cryptographic improvements in intrinsic verific...

AbstractReferencesFull Text PDF (593 KB)Views: 197Downloads: 12Citations: 10
Open Access Research Article·pp. 477–488·Vol. 27, Issue 2-AMar 2024

Novel approaches to biometric security using enhanced session keys and elliptic curve cryptography

V. Dankan Gowda, Pratik Gite, Mirzanur Rahman, Kirti Rahul Kadam, G. Manivasagam, K.D.V. Prasad

Published Online: 06 Apr 2024DOI: 10.47974/JDMSC-1884

In this paper: Biometric systems have taken the front seat as having core foundations in 21stcentury digital information technology, biometric systems hold a position therein or authentication processes. But the gro...

AbstractReferencesFull Text PDF (786 KB)Views: 262Downloads: 9Citations: 2
Open Access Research Article·pp. 721–732·Vol. 27, Issue 3Mar 2024

Mathematical framework for real-time data processing in edge computing : Context-aware priority scheduling analysis

V. Dankan Gowda, V. Nuthan Prasad, K.D.V. Prasad, Kottala Sri Yogi, S. B. Manoj Kumar, Mirzanur Rahman

Published Online: 01 Apr 2024DOI: 10.47974/JSMS-1281

In this paper: The increased demand for real-time data processing has brought into the emergence of edge computing as an important paradigm that helps to fulfil all such requirements on time-sensitive applications a...

AbstractReferencesFull Text PDF (602 KB)Views: 219Downloads: 7Citations: 0
Open Access Research Article·pp. 465–477·Vol. 27, Issue 2Mar 2024

Mathematical enhancement of unsupervised machine learning algorithms for optimal lifeline donor knowledge extraction

P. Ramesh Naidu, Pratik Gite, Vaskar Deka, K.D.V. Prasad, V. Dankan Gowda, Mirzanur Rahman

Published Online: 30 Mar 2024DOI: 10.47974/JSMS-1282

In this paper: Lifeline Donor groups are crucial in the field of humanitarian aid because they provide lifesaving aid in times of crisis. For effective resource management and aid coordination, it is crucial to draw...

AbstractReferencesFull Text PDF (452 KB)Views: 116Downloads: 13Citations: 0
Open Access Research Article·pp. 779–791·Vol. 26, Issue 3Apr 2023

Securing networked image transmission using public-key cryptography and identity authentication

V. Dankan Gowda, Pullela SVVSR Kumar, J. Latha, C. Selvakumar, R. Shekhar, Abhay Chaturvedi

Published Online: 01 Apr 2023DOI: 10.47974/JDMSC-1754

In this paper: Nowadays, the data transmission in the network is working with the latest technology including 3G, 4G, and 5G. These technologies are replacing old technologies including 2G. Many techniques were prop...

AbstractReferencesFull Text PDF (1.3 MB)Views: 231Downloads: 11Citations: 28
Open Access Research Article·pp. 861–873·Vol. 26, Issue 3Apr 2023

A novel RF-SMOTE model to enhance the definite apprehensions for IoT security attacks

V. Dankan Gowda, K.D.V. Prasad, Pratik Gite, S. Premkumar, Naziya Hussain, Veera Sivakumar Chinamuttevi

Published Online: 01 Apr 2023DOI: 10.47974/JDMSC-1766

In this paper: The Internet of Things (IoT) environment must prioritise security because of the IoT’s significant attack susceptibility for a variety of reasons. The IoT attack detection technique or mitigation proc...

AbstractReferencesFull Text PDF (606 KB)Views: 236Downloads: 11Citations: 45
Open Access Research Article·pp. 355–367·Vol. 44, Issue 3Apr 2023

Development of object identification model with deep reinforcement learning algorithm

P. Ramesh Naidu, Avinash Sharma, Supriya P. Diwan, V. Dankan Gowda, Parth M. Pandya, Anand Kumar Gupta

Published Online: 01 Apr 2023DOI: 10.47974/JIOS-1346

In this paper: This research work presents an object identification method based on the machine learning technique based on human vision system. The objective is to prevent processing a complete image in sort to loc...

AbstractReferencesFull Text PDF (930 KB)Views: 192Downloads: 12Citations: 0
Open Access Research Article·pp. 519–530·Vol. 26, Issue 3Apr 2023

A novel approach of unsupervised feature selection using iterative shrinking and expansion algorithm

V. Dankan Gowda, Avinash Sharma, Parismita Sarma, Naziya Hussain, Santosh Kumar Dixit, Anand Kumar Gupta

Published Online: 01 Apr 2023DOI: 10.47974/JIM-1678

In this paper: An major constraint in the realm of feature selection is that users choose the ideal number of characteristics that must be picked. In this article, an effort is made to automate the process of determ...

AbstractReferencesFull Text PDF (536 KB)Views: 266Downloads: 15Citations: 41