Dankan Gowda V.

|Dankan Gowda V - Contributing Author|Dr. Dankan Gowda V is currently working as an Assistant Professor in the Department of Electronics and Communication Engineering at BMS Institute of Technology and Management in Bangalore. Previously, he worked as a Research Fellow at ADA DRDO and as a Software Engineer at Robert Bosch. With a total experience of 14 years, including teaching and industry, Dr. Gowda has made significant contributions to both academia and research. He has published over 60 research papers in renowned international journals and conferences. In recognition of his innovative work, Dr. Gowda has been granted six patents, including four from Indian authorities and two international patents. His research interests primarily lie in the fields of IoT and Signal Processing, where he has conducted workshops and handled industry projects. Dr. Gowda is passionate about teaching and strives to create an engaging and effective learning environment for his students. He consistently seeks opportunities to enhance his knowledge and stay updated with the latest advancements in his field.

Publications

Data-Driven Aquatics: The Future of Water Management With IoT and Machine Learning

The water management industry has undergone a sea change since the advent of machine learning (ML) and internet of things (IoT) technology. In this chapter, the utilization of ML...

Introduction to Cloud Computing and Healthcare 5.0: Transforming the Future of Healthcare

Healthcare delivery is poised to undergo a paradigm shift as a result of the convergence of cloud computing and Healthcare 5.0, which promises to revolutionize patient care. In...

Machine Learning and Blockchain Integration in Industrial Robotics: Challenges and Opportunities

Machine learning and blockchain have the potential to completely change the landscape of industrial robots. Learning and adaptation give robots an edge in functionality and...

Quantum Machine Learning for Biomedical Data Analysis

The emerging and novel field of utilizing quantum physics in the world of machine learning, with applications customized for biomedical data, is explored in detail in this...

Digital Evidence Collection and Preservation in Computer Network Forensics

The growing integration of information and communication technology (ICT) in today's world has led to the rise of crimes in the digital realm, specifically those linked to...

Electronic Health Records (EHR) and Clinical Decision Support Systems: Integrating AI Solutions

The extensive use of clinical decision support systems (CDSS) and electronic health records (EHR) has significantly altered the landscape of healthcare. Medical professionals now...

AIoT Integration Advancements and Challenges in Smart Sensing Technologies for Smart Devices

Artificial intelligence in things (AIoT) has revolutionized the capabilities and features of smart gadgets. Technology advancements in smart sensing have allowed for the seamless...

Introduction to Modern Cryptography and Machine Learning

Cryptography and machine learning are part of mega-tech today. The whole of this chapter is about digital currencies. This is what will happen in the encryption world. First, the...

Future Outlook: Synergies Between Advanced AI and Cryptographic Research

Artificial intelligence (AI) and cryptography have recently made rapid progress respectively, forming a surprising mutual relationship. With the development of AI, it is now...

Homomorphic Encryption and Machine Learning in the Encrypted Domain

In cryptography, performing computations on encrypted material without first decrypting it has long been an aspiration. This is exactly what homomorphic encryption (HE)...

Advancing Zero-Shot Learning With Fully Connected Weighted Bipartite Graphs in Machine Learning

This chapter presents a novel method for improving zero-shot learning in ML by using fully connected weighted bipartite graphs. Problems with generalizability and adaptability...

Challenges and Limitations of Few-Shot and Zero-Shot Learning

Essential to the development of AI and machine learning, this chapter explores the complex areas of few-shot and zero-shot learning. There have been great advancements towards...

Machine Learning's Potential in Shaping the Future of Bioinformatics Research

In recent years, the application of machine learning techniques has brought about a profound transformation in the field of bioinformatics. This chapter is dedicated to examining...

Tourism Development and Environmental Conservation in the Himalayas: Challenges and Opportunities

In recent years, the Himalayas have seen an increase in tourism, which has benefited both the local economy and the region's indigenous population. Rapid tourist expansion...

Cloud Robotics and the Power of Application Offloading Strategies

In the face of the development of robotic technology, integration with cloud technologies is a big opportunity to greatly improve robots. This chapter will synthetize the spirit...

Robotic Evolution Integrating IoT and Robots

In a landscape of technology that is changing at breakneck speed, the combination of the internet of things (IoT) with robotics represents an important step toward future...

Scaling Robot Intelligence With Cloud-Based Cloning Platforms

Robotics needs to be applied in many different areas which requires the existence of better-quality platforms whose performance and function can be refined. The cloud and robotic...

Advancing Digital Forensics Education With Generative AI for Sustainable Development Goals

The term “forensics” refers to a broad range of activities that involve gathering, analyzing, and presenting evidence that is admissible in a court of law and are intended to...

Challenges and Innovations in YOLO-Based Drone Detection for the Industry 5.0 Revolution

The Industry 5.0 revolution emerges as an amalgamation of advanced technological systems with human touch onset. In this transformative time, drone technologies have become...

Advancing Drone Communication Frameworks With Blockchain in Industry 5.0 Applications

In Industry 5.0 a number of technological developments are seen to support human-machine collaboration. This evolution is central to the inclusion of drones, which are...

Innovative Horizons in Drone Technology for Construction During Industry 5.0

A basic change can be noticed in various industries, especially in the construction sector, since we are moving from Industry 4.0 to Industry 5.0. The integration and...

An Exhaustive Analysis of Energy Harvesting Absorbers and Battery Charging Systems for the Internet of Things

Nearly all application fields are paying increased attention to the internet of things (IoT). Nearly 20 billion devices are now linked to the internet. With several applications...

Wireless Sensor and Actuator Networks-Based Reliable Data Acquisition Mechanism

The objective of deploying a wireless sensor network is to collect data about the environment in which it will be utilised and then to transmit that data to a distant sink where...

An Enhanced Method for Running Embedded Applications in a Power-Efficient Manner

Many modern items that are in widespread use have embedded systems. Due of embedded processing's ability to provide complex functions and a rich user experience, it has grown...

IoT-Deep Learning-Based Detection of Cyber Security Threats

The internet of things (IoT) is a revolutionary technology that links living and non-living devices all around the world. As a result, the frequency of cyber-attacks against IoT...

Deep Learning Models for Cyber Security in IoT Networks

As the number of connected devices grows, the internet of things (IoT) poses new security challenges for network activity monitoring. Due to a lack of security understanding on...

Deep Learning-Based Automatic Student Authentication

Classroom management relies heavily on the ability to keep track of student attendance. Attendance checks by calling names or handing out a sign-in sheet are time-consuming and...