Kapil Joshi

Kapil Joshi
Uttaranchal University | UIT · Uttaranchal Institute of Technology

Doctor of Philosophy

About

55
Publications
14,059
Reads
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157
Citations
Citations since 2017
54 Research Items
155 Citations
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Introduction
Kapil Joshi currently works at the Uttaranchal Institute of Technology, Uttaranchal University. Kapil does research in image fusion and medical imaging analysis. Their most recent publication is 'A New Approach To Transfer Data Using RedTacton Technology' and 'Multi-focus image fusion using discrete wavelet transform'.

Publications

Publications (55)
Article
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Cordyceps sinensis is an edible mushroom found in high quantities in the regions of the Himalayas and widely considered in traditional systems of medicine. It is a non-toxic remedy mushroom and has a high measure of clinical medical benefits including cancer restraint, high blood pressure, diabetes, asthma, depression, fatigue, immune disorder, and...
Chapter
Any news can spread like wildfire in the current digital era. Many people begin to believe anything they read in various sources without first confirming the veracity of the source. Any false information could lead to rioting among communities and other significant problems. News may spread at very high speed thanks to social media platforms like T...
Chapter
Edge AI refers to the deployment of AI software on hardware throughout the real world. Recently industry 4.0 adopted the cases on plant automation, factory robot, edge computing and usage of application in AI domain. With higher bandwidth and lower latency, edge computing promises to decentralize cloud applications. This chapter provides a thorough...
Conference Paper
Full-text available
This electronic When precision is required, WEDM is a conductive material machining technology that is widely used. The rough cutting operation in WEDM is regarded tough because precision work demands the use of numerous machining performance measurements, such as metal removal rate (MRR), surface finish (SF), and cutting width (kerfs).According to...
Article
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Home automation systems are expanding increasingly popular because they can conveniently be employed to manage devices and appliances via voice or focused on physical activity utilizing sensor. From the various research, it shows that affording cost in bringing smartness to small organizations as well as normal users is challenging and there is a r...
Article
Plant diseases mostly harm the leaves, resulting in a loss in agricultural output's quality and quantity. Plant disease is the most common cause of large-scale crop mortality. India is a country where people's livelihoods are heavily reliant on agriculture. The disease has caused chaos in the agricultural industry. The human eye's perception is not...
Conference Paper
Full-text available
There is an increased use of WSN (Wireless Sensor Networks) in our daily lives with WSN finding application in different areas like maintaining health, better quality of life scenarios, production monitoring in industries, traffic control and various other fields. WSNs have a scope for being incorporated in IoT (Internet of Things). IoT is benefici...
Conference Paper
Full-text available
Researchers have broadened the focus of RFID technology development because to the growing need for low-cost edge devices to bridge the physical-digital gap. In addition to item identification, researchers have explored the use of RFID tags for low-power wireless sensing, localization, and activity inference. A security system utilized today is not...
Conference Paper
Full-text available
Plant diseases mostly harm the leaves, resulting in a loss in agricultural output's quality and quantity. Plant disease is the most common cause of large-scale crop mortality. India is a country where people's livelihoods are heavily reliant on agriculture. The disease has caused chaos in the agricultural industry. The human eye's perception is not...
Conference Paper
Full-text available
Wireless-sensor-networks are made up small sensor-nodes with their own computation and communication capability, for example, to detect temperature, pressure, sound, etc. The nodes of the sensor are of an ad-hoc nature and are moved to a brutal environmental condition equipped with a limited power supply that may lead to high chances of failure occ...
Conference Paper
Full-text available
The study shows that internet of things has now become a vital part of our generation and it has a rapid growth in the field and many people see this as next big thing but they are very much unaware of its norms and benefits it has been estimated that by the end of 2022 to their may be about 50to 60 billion internet of things are going to be instal...
Conference Paper
The suggested study’s objectives are to develop an unique criterion-based method for classifying RBC pictures and to increase classification accuracy by utilizing Deep Convolutional Neural Networks instead of Conventional CNN Algorithm. Materials and Procedures A dataset-master image dataset of 790 pictures is used to apply Deep Convolutional Neura...
Article
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Every year, around 18.6 million people die from cardiovascular diseases, the most common of which are myocardial infarctions and heart failure. MI and heart attacks are caused by persistent ischemia and hypoxia, which causes irreparable damage to myocardial tissue. An Effective, accurate, and feasible method for the timely diagnosis of these diseas...
Article
Full-text available
Sustainable Forest monitoring is significant for monitoring the forest with advanced digital technologies. The rise of population, pollution emissions from industry and agriculture, loss of productivity, and soil fertility in pure planted forests, diseases of complex etiology are the issues in reducing forest cover. Motivated by these aspects, this...
Article
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Deep learning (DL) is a new approach that provides exceptional speed in healthcare activities with greater accuracy. In this regard, “convolutional neural network” or CNN and blockchain are two important parts that together fasten the disease detection procedures securely. CNN can detect and predict diseases like lung cancer and help determine food...
Conference Paper
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There are three types of learning methodologies for data mining algorithms: supervised, unsupervised, and semi-supervised. The algorithm in supervised learning works with a collection of instances whose labels are known. In the case of a classification job, the stamps can be ceremonial worth, whereas in the case of a regression work, the labels can...
Article
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In recent years, big data in health care is commonly used for the prediction of diseases. The most common cancer is breast cancer infections of metropolitan Indian women as well as in women worldwide with a broadly factor occurrence among nations and regions. According to WHO, among 14% of all cancer tumours in women breast cancer is well-known can...
Chapter
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Phase computing is the gathering of computer resources from several locations in order to accomplish a shared goal. The grid is a distributed system that handles interactive workloads with a high number of files. Grid computing offers a wide variety of geographically distributed computing resources and as a single resource that can be shared by any...
Chapter
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Today hacking is not far enough from the reach of common people. But still today people are using untrusted systems (e.g. Cyber cafés, Internet labs in organizations etc.) to deal with their important financial, confidential and password accounts, where Keylogger is playing a vital role for these cyber criminals to peep into anyone’s account. Keylo...
Chapter
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Fusion of Medical Images is a simple process to register and merge various images from various modalities of images to enhance the quality of image and reduction in the redundancy for increasing the scalability clinically and capability of images taken for medical purposes to diagnose various medical problems. When we analysis the multi modal medic...
Article
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EEG (electroencephalogram) signals are used to study the information about the state of the brain. Such information is useful for monitoring mental state of an individual and can avoid critical situations in one's life. In this paper, we have implemented various machine learning algorithms on EEG eye state dataset to predict human eye state based o...
Article
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Hotel Industry has been a vital part of the tourism and hospitality industry from years back in India. It is a successful business and creates the environment for entrepreneurship around the world before Covid-19.Tourism is one of the sectors which help to develop Uttrakhand Economically as well as socially. The booming tourism industry in Uttrakha...
Conference Paper
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Face recognition is the most advanced way of authentication and authorization and it has been developed a lot since the last decade and such systems are now popular in fields such as security and commerce. This work revolves around facial recognition based automated user management system with active learning features the proposed work uses a combi...
Conference Paper
Full-text available
From Generations, Security methods have always been improvised on the basis of modernisation of Technology. Now a day's using man power for security have become less reliable as Humans can be manipulated using social/emotional hacking. Today most of the family members are employed and only the old aged members or toddlers of the family are left alo...
Article
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Image Fusion is the methodology to combining multiple images resulting in a single image keeping all the necessary aspects and features of original image with extended information. In this paper, we perform the comparative study between Stationary Wavelet Transform (SWT) and Discrete Wavelet Transform (DWT). We will discover various sectors where S...
Article
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Disease diagnosis is the most critical health-care function. If an illness is diagnosed before the normal or planned period it can save people's lives. Classification method of machine learning can be useful to help the medical branch by delivering reliable and instant disease diagnosis. Hence the convenient time for both physicians and patients be...
Article
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The unwanted data obtained through the medical image fusion is the main problem in biomedical applications, guided-image surgical and radiology. The Stationary Wavelet Transform (SWT) denoted the various advantages over conventional representation of imaging approach. In this research article we introduced innovative multi-modality fusion technique...
Conference Paper
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In today’s era, image fusion is the major technique to enhance the images using multiple images. In this paper, cross-bilateral based image fusion is proposed in wavelet domain. Firstly, images are decomposed using wavelet transform. Approximation parts are fused using weighted average function while detail part is processed by max operation. First...
Article
Full-text available
Background With today’s emerging world of technology, fusion is the key factor in every field, especially in the field of medical and remote sensing. By fusing two or more images, we get necessary useful data in a particular fused image. So it is the best technique to remove noise data from those images. Methods Noise or Blurring are those unwante...
Article
Full-text available
Today's research era, image fusion is a actual step by step procedure to develop the visualization of any image. It integrates the essential features of more than a couple of images into a individual fused image without taking any artifacts. Multi-focus image fusion has a vital key factor in fusion process where it aims to increase the depth of fie...
Book
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Its all about the beginners to learn the concepts of MS-office.
Conference Paper
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or any conducting substance like conductors and dielectrics to transfer data using the weak electric field of the body. It is more secure way of communication than Bluetooth and Wi-Fi as it works on the Principle of Point-to-Point network and require a physical connection to transmit data .With the help of this technology the communication can be d...

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