Sunil Kumar

• Doctor of Philosophy
• Assistant Professor (Selection Grade) at University of Petroleum and Energy Studies

Sepsis is a critical condition that remains a global health concern due to its high mortality rate and unpredictable progression. Accurate prediction of 30-day mortality in sepsis patients is pivotal for timely clinical intervention and effective resource allocation. This study introduces an innovative framework that integrates the Golden Jackal Op...

Industrial Internet of Things: An Introduction explores the convergence of IoT and machine learning technologies in transforming industries and advancing economic growth. This comprehensive guide examines foundational principles, innovative applications, and real-world case studies that showcase the power of IoT-enabled intelligent systems in enhan...

Melanoma is a type of skin cancer that poses significant health risks and requires early detection for effective treatment. This study proposing a novel approach that integrates a transformer-based model with hand-crafted texture features and Gray Wolf Optimization, aiming to enhance efficiency of melanoma classification. Preprocessing involves sta...

The tomato holds significant global significance as a crop, fulfilling crucial roles in agriculture and meeting essential human dietary requirements. The persistent presence of diseases poses a significant risk to tomato crops, compromising their productivity and economic viability. This study presents a novel approach that combines the vision tran...

Tuberculosis, generally referred to as TB is a bacterial disease that affects the lungs and is one of the leading causes of death on a worldwide scale. TB is a bacterial illness that is caused by Mycobacterium tuberculosis. This lung disease is highly infectious and can potentially infect other human body organs. Early diagnosis and treatment of tu...

In light of the COVID-19 pandemic, this research examines supply chain disruptions critically, highlighting their devastating effect on businesses like as drugs and perishable food. The report emphasizes the need of durable supply networks, encouraging firms to invest in strong risk mitigation measures and cutting-edge technology to maintain contin...

The COVID-19 pandemic has highlighted the critical need for supply chain resilience in the face of unforeseen disruptions. This research investigates the application of machine learning (ML) algorithms to enhance supply chain resilience during the COVID-19 crisis. The authors evaluated several ML algorithms, including decision trees, random forests...

This study employs predictive maintenance to enhance the Explainable XGBoost Model for predicting failures in industrial components. The research utilizes a model that employs the adaptive sliding window approach to extract features. The timeframe for this approach is set at 24 hours. This method leverages multi-device sensor data to extract the fe...

Vehicular Adhoc Networks (VANETs) is an emerging field that employs a wireless local area network (WLAN) characterized by an ad-hoc topology. Vehicular Ad Hoc Networks (VANETs) comprise diverse entities that are integrated to establish effective communication among themselves and with other associated services. Vehicular Ad Hoc Networks (VANETs) co...

Task scheduling is one of the significant factors for heterogeneous type of elements in multi-cloud computing environment. It is to delegate activities to most adequate resources to raise the performance with respect to some dynamic parameters. The suggested model of scheduling was designed to run applications of cloud computing which applied in th...

The construction of wireless body area networks (WBANs) has been facilitated by the shrinking of electrical devices (invasive/non-invasive) along with the widespread applicability of the wireless network. With a WBAN, a patient’s vital information may be tracked in real time without interfering with his or her regular routine. Technologies that can...

For the purpose of generating artificial intelligence (AI) in a number of industries, including insurance, oil, and natural gas, sensors and smart devices interact with AI software in different ways. In the fields of healthcare and nutrition, patients could use mobile devices and wearables to acquire information on probable diagnoses for their symp...

Artificial intelligence (AI) technology provides useful tools for therapies by combining approaches such as data analysis (creating new knowledge from a deep study of huge amounts of data) and insightful analysis. AI can detect current and foreseeable issues, as well as evaluate and validate forecasts and solutions. The goals of cognitive computing...

In a photograph or video, a human pose estimate attempts to predict the pose of several human body components. Since certain human motions frequently produce posing movements, understanding such poses is crucial for action recognition. This chapter focuses on recent developments in action recognition and their application to human pose estimation....

Nutrition, sport, and fitness are comparable types of domain that are usually linked with those who participate in sports with high levels of physical activity, such as weightlifting and bodybuilding. Swimmers put in much more physical effort; thus, they require much nutritional assistance. Athletes’ caloric needs are often higher than those of non...

With the help of predictive and performance analysis, it is simple to identify the elements of a good or service that might need the most improvement or that could benefit from cost-cutting techniques without degrading the product's quality as a whole. Different sports require different fitness levels to perform at their best. Factors such as endur...

For any development in the present digital era, artificial intelligence (AI) and the Internet of Things (IoT) are two prominent technologies. Even though both platforms are strong in their domain—AI is a source of knowledge and the IoT is the unique feature that enables cross-communication—this combination becomes a trigger for various intelligent...

To avoid obesity inside the human body, a healthy diet must be maintained at a consistent level. Automated classification of food photos and estimations of food qualities are presented in this research using a unique machine-learning-based classification system. To train the prototype system's convolutional neural network, this chapter is based on...

In the past several decades, automakers have installed a variety of sensors that can detect and diagnose issues with the car and the driver’s actions. In addition, the ever-increasing need for transportation services for both products and people, along with the development of ICT, have driven the transportation sector into a new age of intelligence...

More and more, individualized therapies are being employed to change eating habits and increase food intake. Since weight gain happens when energy intake exceeds energy expenditure, dietary practices and attitudes are crucial in the global obesity epidemic. A recent review discovered gaps in the knowledge base on the variables/determinants of healt...

Studies on weight reduction therapies have shown that an accurate assessment of the patient’s diet is crucial. However, the majority of existing techniques of nutritional evaluation rely on recall. With the availability of powerful mobile devices and extensive cloud services, it is now feasible to create a sophisticated computer-based food identifi...

In this chapter, data-science techniques are used to assess players’ ability. Both artificial intelligence and machine learning based viewpoints and mentoring alter team effectiveness. One might assume the opposing team’s strategy and build one’s own team to obtain the best outcomes. Data science provides another possibility for data engineers to g...

Mathematical programming can express competency concepts in a well-defined mathematical model for a particular. Convolutional Neural Networks (CNNs) and other deep learning models have shown exceptional performance in image categorization tasks. However, questions about their interpretability and reliability are raised by their intrinsic complexity...

The passage of electric signals throughout the human body produces an electromagnetic field, known as the human biofield, which carries information about a person’s psychological health. The human biofield can be rehabilitated by using healing techniques such as sound therapy and many others in a smart grid. However, psychiatrists and psychologists...

In data mining and machine learning, feature selection is a critical part of the process of selecting the optimal subset of features based on the target data. There are 2 n potential feature subsets for every n features in a dataset, making it difficult to pick the best set of features using standard approaches. Consequently, in this research, a ne...

Cloud computing is a technology that provides resources and utility services based on user demand. Due to this demand, e cient cloud security protocols are highly required, especially at the time of data communication for user authentication and data aggregation. e data communication scenarios are majorly a ected by the security threats in the clou...

Cloud computing is a procedure of stockpiling as well as retrieval of data or computer services over the Internet that allows all its users to remotely access the data centers. Cloud computing provides all required services to the users, but every platform has its share of pros and cons, and another major problem in the cloud is task scheduling or...

Increased mass shootings and terrorist activities severely impact society mentally and physically. Development of real-time and cost-effective automated weapon detection systems increases a sense of safety in public. Most of the previously proposed methods were vision-based. They visually analyze the presence of a gun in a camera frame. This resear...

A preprint version of an upcoming article based on the Biofield application.

Growth of malignant tumors in the breast results in breast cancer. It is a cause of death of many women across the world. As a part of treatment, a woman might have to go through painful surgery and chemotherapy that may further lead to severe side effects. However, it is possible to cure it if it is diagnosed in the initial stage. Recently, many r...

India is an agricultural region and the economy of the country depends upon agriculture. Change in climatic parameters (like rainfall, soil, etc) directly affect the growth of crops. This parameter has an unswerving effect on the quantity of food production. Information extraction from the agricultural domain through rainfall prediction has been on...

Diabetes has been recognized as a global medical problem for more than half a century. Patients with diabetes can benefit from the Internet of Things (IoT) devices such as continuous glucose monitoring (CGM), intelligent pens, and similar devices. Smart devices generate continuous data streams that must be processed in real-time to benefit the user...

Vehicular Adhoc Networks (VANETs) are used for efficient communication among the vehicles to vehicle (V2V) infrastructure. Currently, VANETs are facing node management, security, and routing problems in V2V communication. Intelligent transportation systems have raised the research opportunity in routing, security, and mobility management in VANETs....

Information extraction plays a vital role in natural language processing, to extract named entities and events from unstructured data. Due to the exponential data growth in the agricultural sector, extracting significant information has become a challenging task. Though existing deep learning-based techniques have been applied in smart agriculture...

Transferring artistic styles onto any image or photograph has become popular in industry and academia in recent years. The use of neural style transfer (NST) for image style transfer is getting more popular. Convolution Neural Networks (CNN) based style transfer provides a new edge and life to the images, videos, and games. The re-rendering procedu...

A subclass of a Mobile Adhoc Network (MANET) is a Vehicular Adhoc Network (VANET). It consists of self-configuring moving vehicles which are called nodes. It is an inevitable ingredient of intelligent transportation systems. The vehicular network has some permanent devices called roadside units and moving devices called On Board Units (OBU). Every...

The vehicular ad hoc network (VANET) has traditional routing protocols that evolved from mobile ad hoc networks (MANET). The standard routing protocols of VANET are geocast, topology, broadcast, geographic, and cluster-based routing protocols. They have their limitations and are not suitable for all types of VANET traffic scenarios. Hence, metaheur...

In the futuristic Industry framework, user interactions with the product are seamlessly integrated with the product life cycle which results in Information overload. The shopbots were proposed in Industry 4.0 where the more focus was on process automation. In this research work, we propose recommender system for industry 5.0 which is based on colla...

Diabetes is a very fast-growing disease in India, with currently more than 72 million patients. Prolonged diabetes (about almost 20 years) can cause serious loss to the tiny blood vessels and neurons in the patient eyes, called diabetic retinopathy (DR). This first causes occlusion and then rapid vision loss. The symptoms of the disease are not ver...

In the futuristic Industry framework, user interactions with the product are seamlessly integrated with the product life cycle. A recommender system can be considered as an information filtering tool that provides suggestions to users about products, music, friend, topic, etc. This suggestion is based on the interest of users. Several research work...

Information extraction plays a vital role in natural language processing , to extract named entities and events from unstructured data. Due to the exponential data growth in the agricultural sector, extracting significant information has become a challenging task. Though existing deep learning-based techniques have been applied in smart agriculture...

Internet of Things (IoT) is a wireless network of various battery-powered sensing units. Due to the limited battery capacity, the non-accessible/abandoned nodes demand more energy to be reached or re-integrated to keep the network connected. When a specific tree topology for routing, called Destination Oriented Directed Acyclic Graphs (DODAG) is us...

The human brain is the central organ of the human system. Many people in the world cannot move on their own and can't control things on their own. A person whose brain is active can control things using the neuro-controlled robot car. It is interesting to all types of people to measure their concentration and piece level of mind with the neuro sky...

In this communication era, mobile -telephone industry has grown profoundly. The urban population uses the latest mobile-phone technology while the rural population buys second hand ones, mostly with degraded battery, that require frequent charging. This battery-problem becomes a giant when user doesnt have a standard charger or an electricity conne...