Sundaravadivazhagan Balasubaramanian

• Ph.D
• Lecturer at University of Technology and Applied Sciences-AL Mussanah

The rapid increase in Unmanned Aerial Vehicle (UAV) deployments has led to growing concerns about their detection and differentiation from birds, particularly in sensitive areas like airports. Existing detection systems often struggle to distinguish between UAVs and birds due to their similar flight patterns, resulting in high false positive rates...

Recognition is an extremely high-level computer vision evaluating task that primarily involves categorizing objects by identifying and evaluating their key distinguishing characteristics. Categorization is important in botany because it makes comprehending the relationships between various flower species easier to organize. Since there is a great d...

Wireless sensor networks (WSNs) are critical in manufacturing contexts because they provide continuous tracking, digitization, and data collection. However, they frequently come under threat to security concerns and have limited energy resources due to the growing number of devices and data in Industrial manufacturing, thereby affecting the quality...

In the Era of Artificial intelligence research and industrial application have a great impact and success with the implementation of deep learning and neural network mechanism through machine learning process. Among them Explainable artificial intelligence provides an interpretable AI for humans to retain intellectual oversights. XAI is a constant...

Workload prediction is the necessary factor in the cloud data center for maintaining the elasticity and scalability of resources. However, the accuracy of workload prediction is very low, because of redundancy, noise, and low accuracy for workload prediction in cloud data center. In this manuscript, Workload Prediction in Cloud Data Centers using C...

This book explores the essential role of quantum computing and artificial intelligence in advancing healthcare. This comprehensive guide explores the practical applications and real-world use cases, exploring their transformative potential across various sectors. It covers nanodiagnostic tools known for accuracy, along with advanced imaging techniq...

Healthcare uses many facts to organize scientific investigations, collect scientific data, handle health insurance claims, and monitor patients daily. In practice, blockchain initiatives have focused on developing distributed ledgers for virtual currency, but this generation's enthusiasm has spread to the scientific industry. Programmable blockchai...

Artificial intelligence (AI) has shown great promise in recent years when it comes to healthcare, especially when it comes to diagnosing viral infections. Because of the variety of clinical manifestations and quick mutation rates of viral infections, the medical community faces considerable hurdles. This abstract examines how AI is evolving to impr...

The integration of artificial intelligence (AI) algorithms and models in the realm of embodied agents, such as drones and robots, has emerged as a transformative field with profound implications for various industries. This chapter provides a comprehensive overview of the state-of-the-art AI techniques employed to augment the autonomy, adaptability...

In the digital era, artificial intelligence (AI) is a revolutionary force that holds unimaginable potential when it comes to cybersecurity. This chapter examines the interaction among artificial intelligence (AI) and cybersecurity, highlighting the critical role that AI techniques play in supporting security measures when more conventional systems...

Embodied AI systems are causing a significant transformation in numerous industrial sectors by integrating physical robotics with artificial intelligence. This chapter delves into the pragmatic implementations and significant ramifications of embodied AI within the industrial domain, encompassing precision agriculture, healthcare, construction, ret...

Machine Learning for Radio Resource Management and Optimization in 5G and Beyond highlights a new line of research that uses innovative technologies and methods based on artificial intelligence/machine learning techniques to address issues and challenges related to radio resource management in 5G and 6G communication systems. This book provides com...

The fusion of bioinformatics and machine learning (ML) has brought forth a new era of innovative healthcare. The various applications of machine learning in bioinformatics and healthcare are examined in this chapter, with an emphasis on how revolutionary these applications could be for disease identification, drug development, and customized therap...

Maintaining clean and safe water resources is necessary for human health and environmental stability. Traditional methods of monitoring water quality can be ineffective, expensive, and delayed. This chapter suggests that machine learning (ML) and artificial intelligence (AI) can automate and increase water quality monitoring and management. The cha...

Smart manufacturing which is also known as Industry 4.0, is an emerging breakthrough in technology for effective and enhanced manufacturing process that utilizes Internet of Things (IoT) and Artificial Intelligence (AI). Deep Learning has become a versatile tool in smart manufacturing, allowing companies to reach the level of accuracy, productivity...

The rapid increase in Unmanned Aerial Vehicle (UAV) deployments has led to growing concerns about their detection and differentiation from birds, particularly in sensitive areas like airports. Existing detection systems often struggle to distinguish between UAVs and birds due to their similar flight patterns, resulting in high false positive rates...

Cloud computing and IoT are two great technologies which have the potential to reform the healthcare industry and enhance the systems that are in place to offer the best care to the frustrated patients, to manage a large number of data and to change the working processes. This chapter explained the role of cloud and IoT in healthcare domain and shi...

Smart manufacturing environments are revolutionizing the industrial sector by integrating advanced technologies, such as the Internet of Things (IoT), artificial intelligence (AI), and robotics, to achieve higher levels of efficiency, productivity, and safety. However, the increasing complexity and interconnectedness of these systems also introduce...

In order to make networks more adaptable and flexible, software-defined networking (SDN) is an architecture that abstracts the many, easily distinct layers of a network. By enabling businesses and service providers to react swiftly to shifting business requirements, SDN aims to improve network control. SDN has become an important framework for Inte...

Distribution paradigms for distributed computing have advanced significantly with the incorporation of Generative Artificial Intelligence (AI) algorithms onto smart edge devices. The use and ramifications of using generative AI techniques on edge devices, including variational autoencoders (VAEs) and generative adversarial networks (GANs), are exam...

Bird strikes are a substantial aviation safety issue that can result in serious harm to aircraft components and even passenger deaths. In response to this increased tendency, the implementation of new and more efficient detection and prevention technologies becomes urgent. The paper presents a novel deep learning model which is developed to detect...

Artificial intelligence has now enabled important advancements in Industry 4.0. (AI). Industries are generally focusing on increasing modeling, productivity, and lowering costs of operations in the hopes that they can achieve this via joint efforts between people and robotics. Smart industries' interconnected manufacturing processes rely on numerou...

The openness, security, and decentralized data management capabilities of blockchain technology are being leveraged by smart farming to bring about a paradigm shift in agriculture. Traceability, data interchange, and confidence in agricultural supply chains are all improved by real-world implementations of blockchain technology. The proposed chapte...

Over the past few years, the agricultural sector has undergone a remarkable transformation through the incorporation of state-of-the-art technologies. In the year 2023, the emergence of machine learning (ML), robotics, artificial intelligence (AI), and drones is poised to redefine the future of agriculture, propelling us into an era characterized b...

AI technology has a lengthy history and is continually evolving and expanding. It focuses on intelligent agents, which are composed of gadgets that observe their surroundings and then take appropriate action to increase the likelihood that a goal will be achieved. In this chapter, the authors discuss the fundamentals of contemporary AI as well as a...

Geographic information systems (GIS) and artificial intelligence (AI) have been significantly integrated during the past ten years. Artificial intelligence offers novel approaches for GIS projects, despite the fact that GIS is a stable platform having vast amounts of data and several diverse AI applications. AI GIS is a collection of various AI and...

Internet of Things (IoT) has gained enormous popularity in recent years. From obvious home automations to sophisticated medical procedures, IoT has gained considerable attention and applicability. But there are certain challenges also pertaining to apt use of IoT applications. The challenges range from generation of huge amount of data by sensors t...

The novel advent of virtual and augmented reality (VR/AR) has revealed glorious doors for several industries to satisfy the needs of their customer experience. Like many outstanding industries, the travel and tourism industry has also improved its trends and technology with the benefit of VR and AR. AR is exhibiting an incredible part in transfigur...

The Internet of Everything (IoE) and 5G are two initiatives that have embraced Software-Defined Networking (SDN), a model that is intensely changing communications systems. Even though SDN has been around for more than 20 years, it is still improving, and the technology industry is placing more and more demands on SDN networks to make them more cre...

Synthesizing high-quality images from text descriptions is a challenging problem in computer vision and has many practical applications like creating cartoon characters from the description, creating the room interiors, and so on. Deep Convolutional Generative Adversarial Networks (GANs) are very powerful and have simple architecture. It generates...

The use of social distance as a tool throughout the battle with COVID-19 has shown promising results. In recent years, artificial intelligence (AI) and deep learning (DL) have emerged as a powerful resource for dealing with a wide range of practical challenges and delivering impressively positive outcomes. This article delves into the usage of Obje...

This chapter explains how AR and IoT are combined together to increase the productivity and how it can minimize the training time of an employee. the convergence of AR/VR and IoT can get meaningful insights of the industry operations.

The COVID-19 pandemic has been infecting the entire world over the past years. To prevent the spread of COVID-19, people have acclimatised to the new normal, which includes working from home, communicating online, and maintaining personal cleanliness. There are numerous tools required to prepare to compact transmissions in the future. One of these...

Phishing leverages people’s tendency to share personal information online. Phishing attacks often begin with an email and can be used for a variety of purposes. The cybercriminal will employ social engineering techniques to get the target to click on the link in the phishing email, which will take them to the infected website. These attacks become...

Remote monitoring is the process that monitors and observes information from a distance utilizing sensors or electronic types of equipment. Remote monitoring is used in real-time applications like traffic, forest, military, shops, and hospitals to determine abnormal activities. Earlier research has done video processing methods based on computer vi...

On-demand computing ability and efficient service delivery are the major benefits of cloud systems. The limitation in resource availability in single data centers causes the extraction of additional resources from the cloud providers group. The federation scheme dynamically increases resource availability in response to service requests. The dynami...

IoT technology is emerging as a fully developed automation that could be integrated in various web applications, which will be present in upcoming generations of the World Wide Web. Blockchain, like IoT, is a burgeoning field whereby every system associated in the blockchain incorporates a disseminated ledger that improves safety and consistency. D...

Purpose The internet has completely merged into contemporary life. People are addicted to using internet services for everyday activities. Consequently, an abundance of information about people and organizations is available online, which encourages the proliferation of cybercrimes. Cybercriminals often use malicious links for large-scale cyberatta...

Cloud computing refers to a set of hardware and software that are connected to provide various computing services. Cloud consists of services to deliver software, infrastructure and platform over the internet depending on user demand. However, various categories of vulnerabilities and threats are increased, due to the improved demand and developmen...

Workload prediction is the necessary factor in the cloud data center for maintaining the elasticity and scalability of resources. However, the accuracy of workload prediction is very low, because of redundancy, noise, and low accuracy for workload prediction in cloud data center. Therefore, in this article, a tree hierarchical deep convolutional ne...

Owing to the latest advancements in networking devices and functionalities, there is a need to build future intelligent networks that provide intellectualization, activation, and customization. Software-defined networks (SDN) are one of the latest and most trusted technologies that provide a method of network management that provides network virtua...

Citation: Onyema, E.M.; Kumar, M.A.; Balasubaramanian, S.; Bharany, S.; Rehman, A.U.; Eldin, E.T.; Shafiq, M. A Security Policy Protocol for Detection and Prevention of Internet Control Message Protocol Attacks in Software Defined Networks.

Today, humans live in the era of rapid growth in electronic devices that are based on artificial intelligence, including the significant growth in the manufacture of machines that perform intelligent human tasks to solve complex situations. Artificial intelligence will significantly influence the development of many domains, especially the medical...

Recently, applying Software-Defined Networking (SDN) in automotive industry has sparked a lot of interest due to its capacity to ensure focused organization across the board coupled with its vast versatility of isolating data from the control plane. However, the major concern in traffic network is that varied crisis and diversion messages are expec...

Blockchain is a recent revolutionary technology primarily associated with cryptocurrencies. It has many unique features including its acting as a decentralized, immutable, shared, and distributed ledger. Blockchain can store all types of data with better security. It avoids third-party intervention to ensure better security of the data. Deep learni...