Jude Hemanth D

Jude Hemanth D
Karunya University | KITS · Department of Electronics & Communication Engineering

M.E, Ph.D

About

194
Publications
87,889
Reads
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2,629
Citations
Additional affiliations
May 2004 - present
Karunya University
Position
  • Professor (Associate)

Publications

Publications (194)
Article
Full-text available
The diagnosis of disease with patients having chest pain is a challenging issue for the general practitioners for further treatment without delay. When blood flow in a coronary artery is partially or totally restricted, it is called a coronary occlusion. It is essential to diagnose coronary artery blockage at the earliest possible stage to provide...
Article
Full-text available
The application of electroencephalogram (EEG)-based emotion recognition (ER) to the brain–computer interface (BCI) has become increasingly popular over the past decade. Emotion recognition systems involve pre-processing and feature extraction, followed by classification. Deep learning has recently been used to classify emotions in BCI systems, and...
Article
Purpose The current natural language processing algorithms are still lacking in judgment criteria, and these approaches often require deep knowledge of political or social contexts. Seeing the damage done by the spreading of fake news in various sectors have attracted the attention of several low-level regional communities. However, such methods ar...
Chapter
An abnormal growth develop in female uterus is uterus fibroids. Sometimes these fibroids may cause severe problems like miscarriage. If this fibroids are not detected it ultimately grows in size and numbers. Among different image modalities, ultrasound is more efficient to detect uterus fibroids. This paper proposes a model in deep learning for fib...
Chapter
Heart rate (HR) is one of the important vital parameters of the human body and understanding this vital sign provides key insights into human wellness. Imaging photoplethysmography (iPPG) allows HR detection from video recordings and its unbeatable compliance over the state of art methods has made much attention among researchers. Since it is a cam...
Chapter
Scene classification carry out an imperative accountability in the current emerging field of automation. Traditional classification methods endure with tedious processing techniques. With the advent of CNN and deep learning models have greatly accelerated the job of scene classification. In our paper we have considered an area of application where...
Article
In this paper problem of offline signature verification has been discussed with a novel high-performance convolution Siamese network. The paper proposes modifications in the already existing convolution Siamese network. The proposed method makes use of the Batch Normalization technique instead of Local Response Normalization to achieve better accur...
Article
In the present times, artificial-intelligence based techniques are considered as one of the prominent ways to classify images which can be conveniently leveraged in the real-world scenarios. This technology can be extremely beneficial to the lepidopterists, to assist them in classification of the diverse species of Rhopalocera, commonly called as b...
Article
Full-text available
World Health Organization recognized COVID‐19 as a pandemic on March 11, 2020. A total of 213 countries and territories around the world have reported a total of 27,948,441 confirmed cases as on September 9, 2020. This article adopted two non‐linear growth models (Gompertz, Verhulst) and exponential model (SIR) to analyse the coronavirus pandemic a...
Article
Full-text available
In the field of cytogenetics, chromosome image analysis or karyotyping from metaphase images plays an imperative role in the diagnosis, prognosis and treatment assessment of different genetic disorders and cancers. This paper is a comprehensive review on different traditional and deep-based techniques, which are utilized in the design of automated...
Book
Full-text available
The book addresses privacy and security issues providing solutions through authentication and authorization mechanisms, blockchain, fog computing, machine learning algorithms, so that machine learning-enabled IoT devices can deliver information concealed in data for fast, computerized responses and enhanced decision-making. The main objective of t...
Preprint
Pedestrian detection is a key ability required by most computer visions and crowd surveillance applications, with several applications such as person identification, person count and tracking. The number of techniques to identifying pedestrians in images has gradually increased in recent years, even with the significant advances in the state-of-the...
Preprint
Full-text available
Object detection is a key ability required by most computer visions and surveillance applications. Pedestrian detection is a key problem in surveillance, with several applications such as person identification, person count and tracking. The number of techniques to identifying pedestrians in images has gradually increased in recent years, even with...
Article
Full-text available
Brain abnormality is a severe illness in humans. An unrecognised and untreated brain illness will lead to a lot of complications despite of gender and age. Brain tumor is one of the severe conditions in humans; begins due to a variety of unavoidable and unpredicted reasons. The clinical level diagnosis of brain tumor is performed with the help of n...
Article
Full-text available
In humans, the abnormality in brain arises due to various reasons and the ischemic-stroke (IS) is one of the major brain syndromes to be diagnosed and treated with appropriate procedures. The brain-signals and brain-images are widely considered for the clinical level diagnosis of IS. The proposed research considered the brain-image (MRI) based asse...
Article
Full-text available
Eye is an essential sensory organ in human physiological system and disease in eye severely affects the vision system. Age-related-macular-degeneration (AMD) is a common eye disease in elderly people (age > 60 years) and the untreated AMD will cause severe eye illness including permanent vision loss. This research work proposes a machine-learning-s...
Chapter
The security and urbanization challenge is expected to rise to 90% by 2050, and to leverage existing resources, technology is the solitary means to cope with this anticipated raise in entail. The Smart City is focused on the smooth convergence of Information and Communication Technology with the most technological innovations like well-connected ho...
Article
Full-text available
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...
Book
Full-text available
It is our pleasure to invite you to submit a chapter for inclusion in the edited book “Machine Learning for Security and Privacy in Internet of Healthcare Things” to be published by Wiley-Scrivener Publishing, USA. The submitted proposal should have 1-2 page and include sufficient details to be useful for Security and Privacy in Internet of Healthc...
Article
Full-text available
Covid-19 is a rapidly spreading viral disease that infects not only humans, but animals are also infected because of this disease. The daily life of human beings, their health, and the economy of a country are affected due to this deadly viral disease. Covid-19 is a common spreading disease, and till now, not a single country can prepare a vaccine...
Chapter
Unmanned aerial vehicle (UAV) technology has revolutionized the field globally in today's scenario. The UAV technologies enabled the activities to be efficiently monitored, identified, and analyzed. The principal constraints of the present surveillance system, along with closed-circuit television (CCTV) cameras, are limited surveillance coverage ar...
Article
Full-text available
Biometric systems are widely used in applications such as forensics and military. Biometric authentication is a challenging and complex task. These biometric systems must be accurate for practical applications. In this era of artificial intelligence, artificial neural network‐based classifiers are widely used in biometric‐based systems. However, mo...
Chapter
This paper presents an Android prototype called HOLOTECH, a system to help blind people to understand obstacles in the environment. The goal of this paper is the analysis of different techniques and procedures to perform a fast and lightweight model able to detect obstacles in this context. The predictions and analysis are statistically evaluated,...
Chapter
The peculiar growth existing in the uterus wall is uterus fibroids. These fibroids can lead to infertility concerns and is a major issue among women nowadays. CT scan, ultrasound scan, and MRI scan are some techniques to detect uterus fibroids. Among these techniques, ultrasound images are precise tool to detect the uterus disorders. Less detectabl...
Chapter
Emotion recognition plays a dominant role in man-machine interaction. This research paper proposes the detection of human emotions through the study of speech signals. The main motivation of recognition of emotions from speech signals is to increase the communication between man and machines that is advantageous in numerous fields like call centers...
Book
This book solicits the innovative research ideas and solutions for almost all the intelligent data intensive theories and application domains. The proliferation of various mobile and wireless communication networks has paved way to foster a high demand for intelligent data processing and communication technologies. The potential of data in wireless...
Article
Face mask detection had seen significant progress in the domains of Image processing and Computer vision, since the rise of the Covid-19 pandemic. Many face detection models have been created using several algorithms and techniques. The proposed approach in this paper uses deep learning, TensorFlow, Keras, and OpenCV to detect face masks. This mode...
Article
The statistics highlights that physical rehabilitation are required nowadays by increased number of people that are affected by motor impairments caused by accidents or aging. Among the most common causes of disability in adults are strokes or cerebral palsy. To reduce the costs preserving the quality of services new solutions based on current tech...
Article
Full-text available
The novel coronavirus infection (COVID-19) that was first identified in China in December 2019 has spread across the globe rapidly infecting over ten million people. The World Health Organization (WHO) declared it as a pandemic on March 11, 2020. What makes it even more critical is the lack of vaccines available to control the disease, although man...
Poster
Full-text available
Dear Colleague; As the editors of the CRC Press book series: Biomedical and Robotics Healthcare, we kindly invite you to propose an edited or authored book by considering the attached proposal form. Looking forward to hearing from you. Thanks!
Article
Full-text available
The concern over security in all fields has intensified over the years. The prefatory phase of providing security begins with authentication to provide access. In many scenarios, this authentication is provided by biometric systems. Moreover, the threat of pandemic has made the people to think of hygienic systems which are noninvasive. Iris image r...
Article
Full-text available
Plantar pressure imaging technologies play more important role in diabetics’ shoe-last design. The plantar pressure imaging data-set was acquired through pressure sensors system and was preprocessed using typical image process technologies including Gauss filtering, gamma correction, and wavelet transform enhancement in this work. To decrease the c...
Article
Full-text available
Leukocytes, produced in the bone marrow, make up around one percent of all blood cells. Uncontrolled growth of these white blood cells leads to the birth of blood cancer. Out of the three different types of cancers, the proposed study provides a robust mechanism for the classification of Acute Lymphoblastic Leukemia (ALL) and Multiple Myeloma (MM)...
Preprint
Full-text available
Infection/disease in lung is one of the acute illnesses in humans. Pneumonia is one of the major lung diseases and each year; the death rate due to the untreated pneumonia is on rise globally. From December 2019; the pneumonia caused by the Coronavirus Disease (COVID-19) has emerged as a global threat due to its rapidity. The clinical level assessm...
Article
A large number of children die due to pneumonia every year worldwide. An estimated 1.2 million episodes of pneumonia were reported in children up to 5 years of age, of which 880,000 died in 2016. Hence, pneumonia is a major cause of death amongst children, with high prevalence rate in South Asia and Sub-Saharan Africa. Even in a developed country l...
Article
Full-text available
Historical maps classification has become an important application in today’s scenario of everchanging land boundaries. Historical map changes include the change in boundaries of cities/states, vegetation regions, water bodies and so forth. Change detection in these regions are mainly carried out via satellite images. Hence, an extensive knowledge...
Chapter
Full-text available
Unmanned Aerial Vehicles (UAVs) within Cyber-Physical Systems (CPSs) depend on Flying Ad -Hoc Networks (FANETs) as well as on Computer Vision (CV). The Flying Nodes (FNs) play a paramount role in UAV CPSs because relying on imagery poses austere and diverse restrictions in UAV communications. Nowadays, UAV technology is switching from a single UAV...
Chapter
Full-text available
The popularity of the Open Source Tool (OST) has expanded significantly. This is the case for Unmanned Aerial Vehicles (UAVs) based on Open Source Hardware (OSH) as well. Open Source Software (OSS) and OSH can be applied in a wide range of applications and can improve several technologies. The chapter begins with an introduction to OSS depicting it...
Article
Melanoma skin cancer is one of the most common diseases in the world. It is essential to diagnose melanoma at an early stage. Visual inspection during the medical examination of skin lesions is not a simple task, as there is a similarity between lesions. Also, medical experience and disposition can result in inaccurate diagnoses. Technologies such...
Chapter
Full-text available
This chapter proposes a framework to super-resolve the low-resolution (LR) images captured using the unmanned aerial vehicle. The framework used a convolution neural network to super-resolve the LR image. This framework also removes the haze present in the LR image. The proposed system is evaluated using peak signal to noise ratio, structural simil...
Chapter
Full-text available
The growth in the number of aerial images available is stimulating research and development of computational tools capable of extracting information from these image databases. However, developing a new computer vision (CV) software is complicated because many factors influence the extraction of information from aerial images, such as lighting, fli...
Chapter
Full-text available
The modelling of a system's dynamics and performing simulation are commonly used techniques and almost critical components in the modern development of manned and unmanned systems alike. This chapter addresses the need for modelling and simulation of unmanned air vehicle systems and reviews historical developments in the field, current techniques u...
Chapter
Full-text available
Unmanned aerial vehicles (UAVs) handle operations such as inspection, mapping, monitoring, and surveying, to cite a few, that assist image processing, aerial imaging, and computer vision (CV) algorithms. The UAVs with cameras collect a massive amount of images and videos for various research and commercial applications. Furthermore, UAVs have vario...
Chapter
Full-text available
Over the past few decades of imaging, these sensing instruments are now more advanced with multiple missions such as surveillance, monitoring, tracking and destruction of spatial objects. Nowadays, unmanned aerial vehicles (UAVs) are much prevalent, which could acquire a comprehensive view and could perform actions even to the lowest target levels...
Chapter
An unmanned aerial vehicle (UAV) - aka drone, unmanned aircraft system or remotely piloted aircraft system - is an aircraft without a human pilot on board. Its flight can be controlled autonomously by computers in the vehicle or by remote control. UAVs can uniquely penetrate areas, which may be too dangerous or too difficult to reach for piloted cr...
Article
Full-text available
Recent success stories in automated object or face recognition, partly fuelled by deep learning artificial neural network (ANN) architectures, have led to the advancement of biometric research platforms and, to some extent, the resurrection of Artificial Intelligence (AI). In line with this general trend, inter-disciplinary approaches have been tak...
Book
Full-text available
This two volume book set explores how sensors and computer vision technologies are used for the navigation, control, stability, reliability, guidance, fault detection, self-maintenance, strategic re-planning and reconfiguration of unmanned aircraft systems (UAS). Volume 1 concentrates on UAS control and performance methodologies including Compute...
Book
Full-text available
This two volume book set explores how sensors and computer vision technologies are used for the navigation, control, stability, reliability, guidance, fault detection, self-maintenance, strategic re-planning and reconfiguration of unmanned aircraft systems (UAS). Volume 2 focuses on UAS deployment and applications including UAV-CPSs as a Testbed f...
Article
Full-text available
The remote sensing images acquired from the satellites are low contrast images. The availability of low contrast images and failure of the traditional methods such as Histogram Equalization and Gamma correction in preserving the brightness levels in the image are the main issues in satellite image processing. This paper proposes an optimized contra...
Article
Full-text available
Nowadays, it is important to design and develop effective applications for improving solution experiences in the fields associated with studies of biomedical and health informatics. Along with rapid developments in computer and electronics technologies, that has become more important in especially twenty-first century. Moving from that, main object...
Article
Full-text available
The objective of this study is to propose an alternative, hybrid solution method for diagnosing diabetic retinopathy from retinal fundus images. In detail, the hybrid method is based on using both image processing and deep learning for improved results. In medical image processing, reliable diabetic retinopathy detection from digital fundus images...
Book
Full-text available
This 2-volume book set explores how sensors and computer vision technologies are used for the navigation, control, stability, reliability, guidance, fault detection, self-maintenance, strategic re-planning and reconfiguration of unmanned aircraft systems (UAS). Volume 1 concentrates on UAS control and performance methodologies including Computer V...
Chapter
Full-text available
This chapter studies both the quality of service (QoS) and quality of experience (QoE) of unmanned aerial vehicle cyber-physical systems (UAV-CPSs). These parameters help to gather data about the connectivity options in networks containing flying nodes (FNs), ground stations (GSs) and other associated devices. They also support to solve complicatio...
Chapter
Full-text available
To broaden the view point, of the usage of, the existing optimization technique, under the visual computational applications for image processing. This task involves acquisition, pre-processing, extraction, segmentation and classification of high quality data from the real world in order to produce numerical or symbolic information. It can be used...
Book
This book features research presented at the 1st International Conference on Artificial Intelligence and Applied Mathematics in Engineering, held on 20–22 April 2019 at Antalya, Manavgat (Turkey). In today’s world, various engineering areas are essential components of technological innovations and effective real-world solutions for a better future....
Book
This book presents the fundamentals and advances in the field of data visualization and knowledge engineering, supported by case studies and practical examples. Data visualization and engineering has been instrumental in the development of many data-driven products and processes. As such the book promotes basic research on data visualization and kn...
Book
This book features research presented at the 1st International Conference on Artificial Intelligence and Applied Mathematics in Engineering, held on 20–22 April 2019 at Antalya, Manavgat (Turkey). In today’s world, various engineering areas are essential components of technological innovations and effective real-world solutions for a better future....
Cover Page
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Springer Lecture Notes on Data Engineering and Communications Technologies - Proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2019)
Article
Full-text available
Cancer is a fatal disease that is continuously growing in the developed countries. It is also considered as a main global human health problem. Based on several studies, which have been conducted so far, we found out that Hybrid Particle Swarm Optimization and Artificial Bee Colony Algorithm has never been used in any relevant study; so, in this st...
Article
Full-text available
Multispectral images contain a large amount of spatial and spectral data which are effective in identifying change areas. Deep feature extraction is important for multispectral image classification and is evolving as an interesting research area in change detection. However, many deep learning framework based approaches do not consider both spatial...