Sanjay Kumar Singh

Sanjay Kumar Singh
Indian Institute of Technology (Banaras Hindu University) Varanasi | BHU · Department of Computer Science and Engineering

PhD

About

182
Publications
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2,684
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Publications

Publications (182)
Article
Full-text available
A self-embedding block-wise fragile image watermarking scheme is proposed in this paper for authentication, localization, and recovery with enhanced accuracy. In this introduced scheme, the cover image is split into non-overlapping blocks with a size of 2 × 2, and each block, ten restoration bits and two authentication bits are calculated from the...
Conference Paper
The intelligent supervision of the industrial system is achieved through Industry 4.0. Thus, artificial intelligent-based approaches are widely constructed by incorporating the latest signal processing and sensor technologies to maintain mechanical equipment health and safety during operations. The advancement in technology has introduced multiple...
Article
The purpose of this paper is to see how Machine Learning (ML) algorithms and applications are used in the COVID-19 inquiry and for other purposes. The available traditional methods for COVID-19 international epidemic prediction, researchers and authorities have given more attention to simple statistical and epidemiological methodologies. The inadeq...
Article
Despite attention models’ (AM) success in diverse domains, their application in failure detection and predictive maintenance (FDPM) field is limited. The existing literature of complex rotating machinery (RM) systems with multiple sensors pose the following challenges in applying AM and transformer networks: i) lack of proper fault-specific embeddi...
Article
Full-text available
Early classification on time series has emerged as an active research area in the field of machine learning. It covers a wide range of applications in agriculture, medical and multimedia systems, including drought prediction, health monitoring, event detection, and many more. The early classification aims to predict the class label of a time series...
Article
The advancement in sensing technology has enabled the development of various applications for activity recognition using smartphone sensor data. One of the useful applications in an intelligent transportation system is the identification of transportation mode to provide context-aware assistance for the execution of systems such as driver assistant...
Article
With advancements in genomics, there has been substantial reduction in the cost and time of genome sequencing and has resulted in lot of data in genome databases. Antimicrobial host defense proteins provide protection against invading microbes. But confirming the antimicrobial function of host proteins by wet-lab experiments is expensive and time c...
Article
The advancements in the Internet of Things (IoT) and cloud services have enabled the availability of smart e-healthcare services in a distant and distributed environment. However, this has also raised major privacy and efficiency concerns that need to be addressed. While sharing clinical data across the cloud that often consists of sensitive patien...
Article
Rotating machinery (RM) fault diagnosis based on artificial intelligence (AI) is an esteemed industrial IoT application and an inevitable constituent of the Industry 4.0 revolution. Notably, the existing research in this area exhibits the following limitations: i) the time-series characterization or system dynamics considerations of vibration input...
Article
Full-text available
Artificial intelligence (AI)-based rotor fault diagnosis (RFD) poses a variety of challenges to the prognostics and health management (PHM) of the Industry 4.0 revolution. Rotor faults have drawn more attention from the AI research community in terms of utilizing fault-specific characteristics in its feature engineering, compared to any other rotat...
Article
The overuse of antibiotics has led to emergence of antimicrobial resistance, and as a result, antibacterial peptides (ABPs) are receiving significant attention as an alternative. Identification of effective ABPs in lab from natural sources is a cost-intensive and time-consuming process. Therefore, there is a need for the development of in silico mo...
Article
Full-text available
Early classification of time series is valuable in many real‐world applications such as early disease prediction, early disaster prediction, and patient monitoring where data are generated over time. The main objective of early classification is to provide a reliable class prediction earliest in time. In general, whenever the early prediction time...
Article
Artificial intelligence (AI) based rotating machinery fault diagnosis has extreme importance in the industrial automation and control systems since rotating machinery constitutes approximately 40% of the overall machinery in the industry. But, the majority of AI-based solutions in rotor faults diagnosis are in an experimental stage due to i) inadeq...
Chapter
Extensive research has helped to make the extraordinary progress in multiple technologies and as an effect it has strengthened the existing medical services. Specifically, the introduction of the Internet of things (IoT) in the healthcare industry has shown promising results by connecting the various medical resources for efficient utilization. Thu...
Chapter
Data analytics is the soul of the internet of things (IoT) technology. This is because the use of IoT is beneficial only if the data collected by millions of sensors can be interpreted in some way. In this chapter, we discuss some state-of-the-art techniques used to analyze an individual's health-related data collected by various IoT devices. We al...
Chapter
Internet of things (IoT) has been taking the industrial sector by storm. Healthcare is one such field that has begun to realize its utility. The health insurance companies which form a small but significant part of the healthcare ecosystem have also begun using this technology to adapt their service models. This chapter discusses various ways in wh...
Chapter
The rapid growth of the Internet of things (IoT) and cloud computing in the last decade have brought healthcare services to the next level. In the era of digitization of pathology, an enormous amount of data is generated, and newer technologies are being developed for automated data processing that are accessible via the cloud at a low cost. The in...
Article
The Internet of Things (IoT) is one of the fastest growing areas of research. Considering the IoT and healthcare simultaneously, classifying brain signals using smart IoT sensors is one of the standing non-trivial problems of literature. The issue is further exacerbated by noise in brain signals, and there is no efficient solution for classifying b...
Article
Recently, the idea of smart cities has made several strides forward in literature. Work has hypothesize that the combination of Artificial Intelligence, Cloud Computing, and High powered computers will make technology more human-centric, even, the idea that smart cities will be able to understand the thought process of a human being seems very much...
Article
Machine learning (ML) has emerged as a powerful tool for pattern recognition. Traditional ML algorithms have limited ability to reveal the most sophisticated features of cancer histopathological images, but their robustness and fault tolerance can be enhanced by using fuzzy modeling to capture the uncertainty in image data. Therefore, this study pr...
Article
Full-text available
This article focuses on identifying tiny faces in thermal images using transfer learning. Although the issue of identifying faces in images is not new, the problem of tiny face identification is a recently identified research area. Indeed challenging, however, in this paper, we take the problem one step ahead and focus on recognizing tiny faces in...
Article
Full-text available
Today’s industry demands precise functioning and zero failure of rotating machinery (RM) to avoid disastrous accidents as well as financial losses. Rolling element bearings (REBs) are the heart of RM. Therefore, as early as possible to provide the significant time for maintenance planning, an intelligent diagnosis of REB fault is a critical and cha...
Article
Accurate breast cancer detection using automated algorithms remains a problem within the literature. Although a plethora of work has tried to address this issue, an exact solution is yet to be found. This problem is further exacerbated by the fact that most of the existing datasets are imbalanced, i.e. the number of instances of a particular class...
Article
The development of sensor technology and modern computing allows the fault diagnosis of rotating machinery to exploit under different working conditions. As an effect, digital health monitoring of machine is performed based on the actual data values obtained from the multi-sensor, and also, it supports to design the data-rich datasets using multi-s...
Chapter
Pain, assumed to be the fifth vital sign, is an important symptom that needs to be adequately assessed in heath care. The visual changes reflected on the face of a person in pain may be apparent for only a few seconds and occur instinctively. Tracking these changes is a difficult and time-consuming process in a clinical setting. This is why it is m...
Chapter
Full-text available
Today’s modern industry has widely accepted the intelligent condition monitoring system to improve the industrial organization. As an effect, the data-driven-based fault diagnosis methods are designed by integrating signal processing techniques along with artificial intelligence methods. Various signal processing approaches have been proposed for f...
Preprint
A recent breakthrough by Tang (STOC 2019) showed how to "dequantize" the quantum algorithm for recommendation systems by Kerenidis and Prakash (ITCS 2017). The resulting algorithm, classical but "quantum-inspired", efficiently computes a low-rank approximation of the users' preference matrix. Subsequent works have shown how to construct efficient q...
Article
Full-text available
Today’s modern industry has accepted condition monitoring based on intelligent fault diagnosis of rotating machinery systems to provide precision and sustainability. The conventional signal processing methods are less productive due to the involvement of various noises from different sources in the vibration signal, and therefore, recently fault di...
Article
Canine mammary tumors (CMTs) have high incidences and mortality rates in dogs. They are also considered excellent models for human breast cancer studies. Diagnoses of both, human breast cancer and CMTs, are done by histopathological analysis of haematoxylin and eosin (H&E) stained tissue sections by skilled pathologists: a process that is very tedi...
Article
The usage of computer vision adds a new paradigm in the field of animal biometric, and has recently received more attention due to the growing importance of identification and tracking of animal species or individual animals. Biometric characteristics help to develop a better representation and a better identification of different animal species an...
Chapter
Full-text available
With the arrival of adequate computer vision techniques, animal biometrics-based recognition systems have accomplished attention for the identification and monitoring of jeopardized species and individual animal. In this chapter, a novel fisher locality preserving projection-based cattle recognition framework is proposed for extraction and represen...
Article
Full-text available
Visual animal biometrics is an emerging research field of computer vision, pattern recognition, and cognitive science. Recently, cattle recognition has played a significant role in understanding, controlling and the outbreak of critical diseases, vaccination, production management, traceability, and ownership assignment of a livestock animal. The t...
Article
The condition monitoring of rotating machinery has been widely accepted by the industrial system for intelligent fault diagnosis to achieve sustainability, high performance and provide safety to workers. Therefore, in recent years, artificial intelligence (AI) and signal processing (SP) methods are operated collectively for fault diagnosis. The com...
Article
Biometrics is an automated authentication mechanism that allows the identification or verification of individuals based on unique physiological and behavioral characteristics. In addition to novel biometric recognition frameworks and protocols, standard databases containing biometric trait information are essential for providing convincing results....
Article
Full-text available
Due to the advancement of photo-editing software, powerful computers and high resolution capturing devices, it has become tough to prevent the digital image from tampering. So, in these days just by looking a digital image we cannot say whether it is a genuine or not. This is why digital image authentication, as well as restoration, has become the...
Article
The condition monitoring of rotating machinery systems based on effective and intelligent fault diagnosis has been widely accepted. Traditional signal processing (SP) methods are less effective due to noises and interferences from different sources and incipient faults which remain active for a short time with a particular frequency. In recent time...
Chapter
Establishing identity has become very difficult in the vastly crowded cloud computing environment. The need for a trustworthy cloud authentication phenomenon has increased in the wake of heightened concerns about authentication and rapid advancements in cloud computing, database access, and Internet communication. Face recognition is a non-intrusiv...
Chapter
Full-text available
As the data being stored to a distant server away from direct control of user cloud presents various security risks and threat issues associated with the user authentication and access control mechanisms, it is of upmost importance to ensure the security of confidential business data in the cloud storage along with making sure that only properly au...
Article
Full-text available
The usage of computer vision adds a new paradigm in the field of animal biometric, and has recently received more attention due to the growing importance of identification and tracking of animal species or individual animals. Biometric characteristics help to develop a better representation and a better identification of different animal species an...
Article
Full-text available
Since most data-driven systems including classifiers require large amounts of complete data, the task of handling missing data has garnered much attention. If one of the variables under study in a dataset has some incomplete values, it is treated as a missing data problem. Various methods in the literature exist for dealing with missing data includ...
Article
Full-text available
Enforcing security and privacy guarantees for biometric users via protecting their unique and personalized attributes is an important area of research. There are many properties desirable in a biometric template protection scheme, but unfortunately, all of the requirements are not simultaneously fulfilled. In our work, we have tried to address this...
Conference Paper
Biometric is used for identifying the person based on their traits. Fingerprint is one of the most important and most used biometric trait for person authentication. Fingerprint database must be stored in efficient way and in most secure way so that it is unable to hack by the hacker and it will be able to recognize the person fast in large databas...
Article
Full-text available
Cloud computing and the efficient storage provide new paradigms and approaches designed at efficiently utilization of resources through computation and many alternatives to guarantee the privacy preservation of individual user. It also ensures the integrity of stored cloud data, and processing of stored data in the various data centers. However, to...
Article
Full-text available
The developmental defects of the tubular genital tract including ovaries, oviduct, uterus, cervix and vagina have been reported in cattle as well as buffalo. These defects cause infertility and even complete sterility. As such less information on these aspects in buffalo is available. The present study reported the morphological and histological di...
Article
Accurate and efficient detection of estrus is one of the major constraints for exploitation of the production potential of buffalo owing to its poor manifestation of estrus signs, seasonal differences in expression and higher incidences of silent estrus (29%). The current study focused on identification of estrus specific candidate proteins in sali...
Article
Full-text available
Implementing telemedicine solutions has recently become a trend among various research teams at an international level. Telemedicine refers to the use of modern information and communication technologies to meet the needs of citizens, patients, healthcare professionals, and healthcare providers, as well as policy makers. Telemedicine applications a...
Article
Full-text available
Animal biometrics is an emerging research field that develops quantified methodologies for representing and detecting the visual appearances of animal based on generic features and primary biometric characteristics. The identification of individual cattle is an important issue for classification of different breads, their registration, traceability...
Conference Paper
Full-text available
Traditional animal recognition system which includes invasive methodology is not only a threat towards the survival of species but can also lead to fraud practices, inaccurate data, and duplication. In this paper, a novel cattle recognition system is proposed using computer vision and image pre-processing algorithms on the muzzle point biometric fe...
Conference Paper
Past few decades has witnessed a paradigm shift in object classification where individual feature analysis has given way to multimodal solutions. The semantic gap between different modalities such as text and image still continues to be a challenge resulting in significant amount of research and resources being devoted to the same. One crucial aspe...
Article
Full-text available
Multimodal Retrieval provides new paradigms and methods aimed at effectively searching through the enormous volume of data. Multimodal retrieval is a well studied problem often used in image retrieval. Most of the existing works in image retrieval under the pretext of multimodality stress on bridging the semantic gap by using both textual and visua...
Conference Paper
Image annotation is an integral and important task for image retrieval. Automatic image annotation has been studied for quite some time now, but there is still enough scope for improvement considering the challenges associated with it. Existing systems focus on reducing the semantic gap between image and text using various heuristic, probabilistic...
Book
Full-text available
This book describes various methods and recent advances in predictive computing and information security. It highlights various predictive application scenarios to discuss these breakthroughs in real-world settings. Further, it addresses state-of-art techniques and the design, development and innovative use of technologies for enhancing predictive...
Article
Full-text available
Animal biometrics is a frontier area of computer vision, pattern recognition and cognitive science to plays the vital role for the registration, unique identification, and verification of livestock (cattle). The existing handcrafted texture feature extraction and appearance based feature representation techniques are unable to perform the animal re...
Chapter
Predictive computing has become a core enterprise exercise necessary for the sustenance of an organization in this competitive business world. This practice empowers the business to evolve by organizing data-driven tasks and by applying organizational learning to enable business to not only survive but to excel across multiple fronts. In this chapt...
Chapter
Rapid advancement in networking capabilities, enhancement in data storage and the data collection capacity and techniques are exponentially expanding across all multidisciplinary sciences, research communities and engineering domains. It also includes physical, biological and biomedical sciences. Predictive computing provides the way by which these...
Chapter
Continuous growth of data and customer-focused business has derived a lot of changes in the existing software frameworks. Application development pattern is shifting towards designing of prediction frameworks. Business organizations are deploying predictive frameworks and predictive computing techniques to understand the behaviour of their customer...
Chapter
With the growing use of cloud computing technology around the globe, many organizations provide their services to their users. These services involve the various aspects like data storage, information retrieval and processing, security, etc. Cloud computing provides the homogeneous environment where various resources are shared and used on the basi...
Chapter
The cloud computing and IoT are among the major pillars of predictive computing. While designing application framework, integration of IoT and cloud can provide several benefits to the users and business organizations. In this chapter, we have discussed the manner in which IoT-based cloud-centric architecture is used for predictive analysis of phys...
Chapter
With the advancements in computing techniques, there is a significant shift in programming paradigm which is from procedural programming to agent-based programming. Modern computing techniques have more focus on interdisciplinary approaches to perform complex tasks and development to satisfy human needs. Integration of Internet of Things, cloud com...
Chapter
With the advancement in technology and computing techniques, it has become possible to integrate several different technologies that make task of data processing in real-time easier and faster. It is believed that integration of cloud computing and IoT with wireless sensor networks will completely reshape the Information and Communication Technolog...