R. MANIKANDAN

SASTRA Deemed University

Skin diseases are considered the emerging cause of high mortality throughout the world. To reduce the rate of death, that arise due to skin is minimized with early detection and cure. The lesions in the skin need to be evaluated significantly to increase the detection rate in the early stage. NowadaysComputer-Aided Diagnosis (CAD) is considered as...

AI (artificial intelligence), IoT (internet of things), and CC (cloud computing) have all lately gained popularity in the healthcare industry, allowing radiologists to make better decisions. This research proposed a novel technique in lung tumor detection based on cloud-IoT in segmenting and classification using deep learning techniques. Using a cl...

Sentimental analysis is a method for distinguishing proof of articulation, mentality, or sensations of clients. It characterized as bad, positive, good, ominous, and so on from a piece of text in the record. Recommendation systems are important intelligent systems that assume a crucial part in giving specific data to users. Deep learning emerged as...

Machine learning [ML] is becoming more effective in the field of cybersecurity. The main objective of applying ML in cybersecurity is to make malware detection more actionable, scalable, and efficient than current methods, which rely on human engagement. Field of cybersecurity includes machine learning problems that call for effective theoretical a...

Wearable sensors and person to person communication stages assume a key part in giving another strategy to gather patient information for productive medical care observing. In any case, persistent patient observing utilizing wearable sensors produces a lot of medical care information. Deep learning (DL) is a potential method for big data analytics...

Data sharing is proposed because the issue of data islands hinders advancement of artificial intelligence technology in the 5G era. Sharing high-quality data has a direct impact on how well machine-learning models work, but there will always be misuse and leakage of data. The field of financial technology, or FinTech, has received a lot of attentio...

Cybersecurity continues to be a major issue for all industries engaged in digital activity given the cyclical surge in security incidents. Since more Internet of Things (IoT) devices are being used in homes, offices, transportation, healthcare, and other venues, malicious attacks are happening more frequently. Since distance between IoT as well as...

Road traffic crashes are one of the prime issues in the world. Every year 1.35 million people die, 20 to 50 million fatal injuries, and many incur a disability due to road traffic crashes. 50% of the total death, injuries, and disabilities are among vulnerable road users (VRUs), such as motorcyclists, cyclists, and pedestrians. Among these VRUs, hi...

The Autonomous Connected Ambulance (ACA) has been an unprecedented necessity in the demand-supply management sector of the healthcare sector. However, the traditional prototypes designed for such an un-manned vehicle do not match the demands of the advanced communication technologies incorporated in today’s sophisticated distributed networks. As a...

Traditional watermarking methods can remove a watermark from an image, making it possible to see the copyright information about the image owner or to estimate similarities using techniques such as bit error rate and normalized correlation. Deep learning is another examination field in AI, and is utilized to develop a deep network to extract object...

The growth of information technology (IT) has resulted in physical de-vices being connected to the internet and having the ability to recognize other devices. Artificial Intelligence algorithms are processed on edge or the devices of users. Edge Computing based on the same premise, stores, processes, and manages data directly at Internet of Things...

Machine learning techniques play a significant role in agricultural applications for computerized grading and quality evaluation of fruits. In the agricultural domain, automation improves the quality, productivity, and economic growth of a country. The quality grading of fruits is an essential measure in the export market, especially defect detecti...

The amount of data generated, collected, and processed through computer networks has increased exponentially in recent years. Network attacks have also become an inherent concern in complex networks as a result of this increase of data. The practise of assessing trust using attributes that influence trust is known as trust evaluation. It is confron...

Medical Image Processing plays a major role in optimized identification of various diseases. In many parts of the world, tuberculosis is a serious health problem. Even in today's environment, diagnosing tuberculosis (TB) is difficult. The mortality role of those affected with TB is high due to the undiagnosed and untreated nature. Early detection o...

The medical dataset replicates the patient's crucial information, such as important details regarding the patient's health. It includes disease diagnoses, interventions, and descriptions of the examined results. Also, detecting the mindset of an acute disease-affected patient is a primary challenging task. Though sentiment analysis plays a role in...

Nowadays, there is a growing demand for information security and security rules all across the world. Intrusion detection (ID) is a critical technique for detecting dangers in a network during data transmission. Artificial Intelligence (AI) methods support the Internet of Things (IoT) and smart cities by creating gadgets replicating intelligent beh...

Internet of Things (IoT) data is one of the most important assets in business models for offering various ubiquitous and brilliant services. The IoT is provided with the advantage of susceptibility that cybercriminals and other malicious users. Even though smart cities are intended to extend productivity and efficiency, residents and authorities fa...

As Artificial Intelligence (AI) and the Internet of Things (IoT) applications become more eminent, business and government organizations have started thinking aggressively about processing and analyzing data. Despite efficient data processing and analyzing, business organizations are faced with several issues, because, with data becoming an organiz...

Monitoring elderly and weak diseased people is one of the biggest issues in this modern world. Framing a technology for them is one of the wise contributions that can be done to society. More than 30% elderly people of age above 70 are falling every year due to bad health conditions. Fall identification is a significant issue in the medical care of...

Brain tumors are the most frequently occurring and severe type of cancer, with a life expectancy of only a few months in most advanced stages. As a result, planning the best course of therapy is critical to improve a patient's ability to fight cancer and their quality of life. Various imaging modalities, such as computed tomography (CT), magnetic r...

Diagnosing COVID-19, current pandemic disease using Chest X-ray images is widely used to evaluate the lung disorders. As the spread of the disease is enormous many medical camps are being conducted to screen the patients and Chest X-ray is a simple imaging modality to detect presence of lung disorders. Manual lung disorder detection using Chest X-r...

Industrial cloud computing and IoT have transformed the healthcare industry with the rapid growth of distributed healthcare data. Security and privacy of healthcare data are crucial challenges in the healthcare industry. This paper proposes a novel technique using deep learning and blockchain techniques for electronic health record privacy preserva...

For the past few years, the IoT (Internet of Things)-based restricted WSN (Wireless sensor network) has sparked a lot of attention and progress in order to attain improved resource utilisation as well as service delivery. For data transfer between heterogeneous devices, IoT requires a stronger communication network and an ideally placed energy-effi...

Background and objectives The prediction of multiple drug efficacies using machine learning prediction techniques based on clinical and molecular attributes of tumors is a new approach in the field of precision medicine of oncology. The selection of suitable and effective therapeutic drugs among the potential drugs is performed computationally cons...

MRI is an influential diagnostic imaging technology specifically worn to detect pathological changes in tissues with organs early. It is also a non-invasive imaging method. Medical image segmentation is a complex and challenging process due to the intrinsic nature of images. The most consequential imaging analytical approach is MRI, which has been...

Recently, there has been growing attention to the advances in the areas of electronic and biomedical engineering and the great applications that these technologies can offer mainly for health diagnosis and monitoring. In the past decade, deep learning (DL) has revolutionized traditional machine learning (ML) and brought about improved performance i...

Recent surveys suggest that the majority of the world's population is unconcerned with their health. Aside from a hectic lifestyle, research reveals that stress is also a component in the development of many diseases. Sudden cardiac arrest and death (SCD) is a major public health concern that jeopardizes patient safety. As a result, detecting such...

Ventricular tachycardia (VT) and ventricular fibrillation (VF) are known ventricular cardiac arrhythmias (VCA) that promote fast defibrillation treatment for the survival of patients and are defined as shock-oriented signals, perhaps the most common source of sudden cardiac arrest (SCA). The majority of existing VCA classifiers confront a difficult...

Wireless sensor networks (WSNs) comprise several cooperating sensor nodes capable of sensing, computing, and transmitting sensed signals to a central server. This research proposes a sensor system-based network with low power communication using swarm intelligence integrated with multi-hop communication (SIMHC). This routing protocol selects the op...

The decision-making process is very crucial in healthcare, which includes quick diagnostic methods to monitor and prevent the COVID-19 pandemic disease from spreading. Computed tomography (CT) is a diagnostic tool used by radiologists to treat COVID patients. COVID x-ray images have inherent texture variations and similarity to other diseases like...

COVID-19 endemic has made the entire world face an extraordinary challenging situation which has made life in this world a fearsome halt and demanding numerous lives. As it has spread across 212 nations and territories and the infected cases and deaths are increased to 5,212,172 and 334,915 (as of May 22 2020). Still, it is a real hazard to human h...

Big data analytics in healthcare is emerging as a promising field to extract valuable information from large databases and enhance results with fewer costs. Although numerous methods have been proposed for big data analytics in the medical field, an authorized entity is required to access data, inhibiting diagnosis accuracy and efficiency. Particul...

Health issues of individuals has to be observed and diagnosed carefully as well as at the early stages and treatment has to be given using suitable medicines. Many health disorders can be detected at the earliest and thus reduce its activities before affecting the individuals severely. Recently, technology has been incrementally developed and thus...

Localization has been a major research area in Wireless Sensor Networks \(\left( {WSN} \right)\) and has a rich literature of using many methods to estimate location accuracy. In \(WSN\), localization systems use data from sensors which receive signals from beacons. The information received from a sensor node provides data about the location in the...

The safety in driving is improved and driving workload is minimized, the provided information is understandably and the cognitive load on the driver is low. For the autonomous vehicle, machine learning-based AR-HUD (augmented reality based Head-up display) is used. In this paper the machine learning-based AR-HUD has been used for autonomous vehicle...

The healthcare industry is being transformed by the Internet of Things (IoT), as it provides wide connectivity among physicians, medical devices, clinical and nursing staff, and patients to simplify the task of real-time monitoring. As the network is vast and heterogeneous, opportunities and challenges are presented in gathering and sharing informa...

Diagnosis of COVID-19 pneumonia using patients' chest x-ray images is new but yet important task in the field of medicine. Researchers from different parts of the globe have developed many deep learning models to classify COVID-19. The performance of feature extraction and classifier plays a vital role in the recognizing the different patterns in t...

Coronavirus (COVID-19) widespread has produced a potential demand for the need for healthcare equipment and medicines as well as applications with advanced information technologies. The traditional ways of healthcare management have collapsed under these exigent circumstances. Without a question, health care offers an upper hand on conventional ana...

Nowadays, the Internet of Things (IoT) has authentic grounds for research in a wide range of industrial and academic fields, mainly in healthcare. By employing an interconnect network for properly monitoring the individuals affected by COVID-19, IoT enabled the healthcare system. To find symptoms and give better treatment, IoT is helpful for COVID-...

The specifications for wearable equipment range from soft to difficult real-time restrictions. Hardware enhancements are also a means of accelerating the solution’s global efficiency. Changing some parts or the entire hardware can however increase the complexity of systems, increase the costs, and lead to product production delays or test prototype...

Coronavirus 2019 (COVID-19) medical images detection and classification are used in artificial intelligence (AI) techniques. Few months back, from the observation it is witnessed that there is a rapid increase in using AI techniques for diagnosing COVID-19 with chest computed tomography (CT) images. AI more accurately detects COVID-19; moreover eff...

In world, COVID-19 disease spread over 214 countries and areas which efficiently affects every aspect of our daily lives. In various areas, motivated by recent applications and advances of big data and computational intelligence (CI), this research aims at increasing their significance in COVID-19 response like prevention of severe effects and outb...

As the number of COVID-19 patients grows exponentially, not all cases are likely dealt with by doctors and medical professionals. Researchers will add to the fight against COVID-19 by developing smarter strategies to achieve accelerated control of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), virus that causes disease. Proposed meth...

Nowadays smart cities towards software defined network (SDN) approach will become better flexibility and manageability. A stronger, more dynamic network is an SDN network, which is precisely what a smart city network must be if it wants to be viable on a real-world scale. SDN architecture is developed to implement a learning framework for network o...

Human‐Centred Computing (HCC) is emerging technology which aimed to overcome limitation associated with existing technology related to design and implementation of the computation process for monitoring human activity. HCC provides integration of human science and computer science for computing system design based on the visualization of humans fro...

In Medicine Deep Learning has become an essential tool to achieve outstanding diagnosis on image data. However, one critical problem is that Deep Learning comes with complicated, black-box models so it is not possible to analyze their trust level directly. So, Explainable Artificial Intelligence (XAI) methods are used to build additional interfaces...

he current scenario in the rise of Internet to solve the business problem is current trends, i.e., conducted through computers by physical storefronts. E-businesses use websites as essential transaction tools between different users. However, certain disadvantages are said to prevail when trade confrontations occur due to the maintenance of written...

Internet-of-Things (IoT) enabled cyber-physical systems (CPS) is a system in which communication between the physical devices and the cyber environment runs independently without any user interaction. Several optimization algorithms have been used for determining the optimal solutions that can reduce the production cost and/or enhance the productio...

Various big-data analytics tools and techniques have been developed for handling massive amounts of data in the healthcare sector. However, scheduling is a significant problem to be solved in smart healthcare applications to provide better quality healthcare services and improve the efficiency of related processes when considering large medical fil...

Lung cancer is a worldwide precarious disease and it is encouraged by the abnormal growth of cells in bronchi. Spotting the cancer cells is unknown until it leads to respiration issues and the muddling of organs working. Due to problems, limited or incorrect selection of hypothesis space, and dropping into local minima, single learners often give e...

The use of mobile devices has been growing rapidly and at the same time mobile applications has attained increasing popularity. Moreover, mobile services have introduced unexpected demands on the infrastructure of mobile and wireless networking. Recently, Mobile Sensor Networks (MSNs) has developed a class of popular sensor network where mobility h...

Nowadays, next-generation networks such as the Internet of Things (IoT) and 6G are played a vital role in providing an intelligent environment. The development of technologies helps to create smart city applications like the healthcare system, smart industry, and smart water plan, etc. Any user accesses the developed applications; at the time, secu...

In recent times, numerous Internet of Things (IoT) applications have begun to use biometric identity for authentication purposes. The integrity and confidentiality of biometric templates during storage and transmission is crucial as it contains key information on the physical identity of the users. Encryption is an effective template protection tec...

Health issues of individuals has to be observed and diagnosed carefully as well as at the early stagesand treatment has to be given using suitable medicines. Many health disorders can be detected at the earliest and thus reduce its activities before affecting the individuals severely. Recently, technology has been incrementally developed and thus n...

The medical dataset replicates the patient's crucial information, such as important details regarding the patient's health. It includes disease diagnoses, interventions, and descriptions of the examined results. Also, detecting the mindset of an acute disease-affected patient is a primary challenging task. Though sentiment analysis plays a role in...

IoT has facilitated predominant advancements in cancer research in incorporating Artificial intelligence (AI) that enables the human decision makers to achieve better decision. Cervical cancer being a significant cause of mortalities among women across the world. Recently, Least Absolute Shrinkage and Selection Operator (LASSO) classifier has launc...

In recent years, Wireless Sensor Network (WSN) became a key technology for monitoring and tracking applications in a wide application range. Still, an energy-efficient data gathering protocol has become the most challenging issue. This is because each sensor node in the network is equipped with limited energy resources. To achieve better energy eff...

A new era of aerospace systems has instigated highly coupled frameworks, leading to a significant rise in design complexity. The lack of present-day design systems to govern this complexity has resulted in considerable time and schedule overruns compromising the accuracy during the development of military and commercial platforms. This work present...

Machine learning algorithms such as support vector machine (SVM) have been widely used to detect brain tumors in big data environments. However, the SVM classifier is unsuitable for a large dataset as the complexity involved is found to be high. Therefore, in this article, a MapReduce model is introduced with SVM to handle large-scale data and deal...

The Internet of Things plays a predominant role in automating all real-time applications. One such application is the Internet of Vehicles which monitors the roadside traffic for automating traffic rules. As vehicles are connected to the internet through wireless communication technologies, the Internet of Vehicles network infrastructure is suscept...

This work proposes a novel method for the detection of Left Ventricular Hypertrophy (LVH) from a multi-lead ECG signal. Left Ventricle walls become thick due to prolonged hypertension which may fail to pump heart effectively. The imaging techniques can be used as an alternative diagnose LVH; however, they are more expensive and time-consuming than...

Health monitoring products can improve essential services for elderly patients, with personalized customer service and prescription prompts being two practical areas of assistance. The use of IoT in assistive devices can help to reduce the severity of diseases such as influenza. This therapeutic assistance can also provide precautionary information...

Future Sixth generation (6G) wireless networks are anticipatedto offer entirecoverage, improved spectral, energyandcost-efficient communication.The 6G will enable a network collectivelyand offer seamless wireless connectionsbetween the devices. While the deployment of 5G is ongoing, mobile communication networks are still suffering many basic chall...

The study throws light on the wide spread silent problem by name ' Occupational Stress', which gave raise to acute dysfunctions and are called many diseases, increase divorce rates, and other harassments. If left uncared the extremity of stress may turn a person vulnerable and even lead to the suicide of the person. The occupational stress is found...

Teachers are a special blessing from God to us. They are the ones who build a good nation and make the world a better place. A teacher teaches us the importance of a pen over that of a sword. They are much esteemed in society as they elevate the living standards of people. They are like the building blocks of society who educate people and make the...

Over the last decade, blockchain has been considered an encouraging solution to secure distributed ledgers. Moreover, with the introduction of a pseudonymous payment method without a centralized database or authoritative person, blockchain has also evolved as the future generation for online payment system. However, with the eruption of a large sca...

Modern computer sciences and information technologies are anticipated to bring transformative influence in part that mobile communication technologies play in society. To completely take advantage of the services bestowed by modern computer sciences and information technologies, the evidence of the economic and business case is an essential prerequ...

Medical applications create an enormous amount of data. Medical data transmission via networks necessitates a huge bandwidth rate. Also, digital medical data necessitate enormous storage and archive. With the evolution of the Internet and multimedia designs, medical data is required to be transmitted in a rapid manner. One of the practical solution...

Technology has become an indispensable and intrinsic element and impacts how we all inhabit and perform tasks. IoT is a structure that permits developers to associate different devices simultaneously for health monitoring. The role of smart device healthcare applications is anticipated to become more predominant with an upsurge in the implementatio...

In Polarimetric SAR (PolSAR) and synthetic aperture radar (SAR) requires efficient filtering approach for effective processing of captured quad-polarized images. Due to polarization speckles arises in the captured PolSAR images which causes complexity in collection of data from PolSAR images. This limitation has been overcome through application of...

Coronavirus disease (COVID‐19) is a harmful disease caused by the new SARS‐CoV‐2 virus. COVID‐19 disease comprises symptoms such as cold, cough, fever, and difficulty in breathing. COVID‐19 has affected many countries and their spread in the world has put humanity at risk. Due to the increasing number of cases and their stress on administration as...

Internet of Things (IoT) is becoming a suitable surveillance system in modern power grid, right from power generation to distribution. In the case of wind power generation application, the entire wind farm is considered completely monitored using edge devices known as IoT devices. Device deployment is a major obstacle that can be addressed for this...

Deep learning artificial intelligence (AI) is a booming area in the research field. It allows the development of end-to-end models to predict outcomes based on input data without the need for manual extraction of features. This paper aims for evaluating the automatic crack detection process that is used in identifying the cracks in building structu...

This Ensuing generation of FPGA circuit tolerates the combination of lot of hard and soft cores as well as devoted accelerators on a chip. The Heterogene Multi-Processor System-on-Chip (Ht-MPSoC) architecture accomplishes the requirement of modern applications. A compound System on Chip (SoC) system designed for single FPGA chip, and that considere...

In recent years, with the development of 6 G networks in mobile computing, the energy consumption of data centers has increased significantly. Therefore, energy saving in data centers has become an important research direction for sustainable computing. High-energy consumption is not only detrimental to the environment but also raises the operating...

Internet of things (IoTs) enabled cyber-physical systems is a system that provides communication between physical devices and cyber environment. They run independently without any user interaction. Because the IoT devices are vulnerable to a variety of attacks, security is a noteworthy factor in the development process during communication. To impr...

Coronavirus (COVID-19) is a disease which is spreading rapidly, and nearly 1,436,000 people have been infected in about 200 countries all over the world as of April 2020. It is essential to detect COVID-19 at the earliest stage to care for the infected patients and, moreover, to prevent spreading and protect uninfected people. Deep learning approac...

The demand for Massive Internet of Things (mIoT) have largely increased as it is used in many applications by many users. mIoT witnessed a widespread due to its low latency and throughput requirement while being able to provide an outstanding connectivity coverage. To transmit such a massive data, the mIoT adopt the ultra-reliable and low latency c...