Dr. Subhendu Kumar Pani

Orissa Engineering College,Bhubaneswar,Orissa · Dept. of CSE

Due to advances in technology, particularly in artificial intelligence and robotics, the service sector is being reshaped, and AI may even be necessary for survival of the service industries. Innovations in digital technology lead to improving processes and, in many situations, are a solution to improving the efficiency and the quality of processes...

The Internet of Things (IoT) is a platform that manages daily life tasks to establish an interaction between things and humans. One of its applications, the smart office that uses the Internet to monitor electrical appliances and sensor data using an automation system, is presented in this study. Some of the limitations of the existing office autom...

Because slope breakdown can result in severe disasters, slope stability analysis and prediction are crucial. The effectiveness of four machine learning techniques for the prediction of slope stability was compared in this paper. Conventional analysis of slope instability methods (e.g., originally developed in the early part of the 20th century) wer...

With the recent development and advancement of business growth models, information exchange has emerged as a critical component of computer communication technology. To serve dynamic business models with the latest data, most system architecture tends to retrieve data from back-end systems in real-time. Numerous leading organizations have started t...

Neurological disorders are identified using brain scans obtained via modalities such as electroencephalogram (EEG), magnetic resonance imaging (MRI), computed tomography (CT), and others. While MRI and CT are noninvasive approaches, and do not require any additional effort from the patient, they are observed to have long-term impacts on the brain a...

Slope stability has been a matter of concern for most geologists, mainly due to the fact that unstable slopes cause a greater number of accidents, which in turn reduces efficiency of mining operations. In order to reduce the probability of these slope instabilities, methods like tension crack mapping, inclinometer measurements, time domain reflecto...

Slope stability has been a matter of concern for most geologists, mainly due to the fact that unstable slopes cause a greater number of accidents, which in turn reduces efficiency of mining operations. In order to reduce the probability of these slope instabilities, methods like tension crack mapping, inclinometer measurements, time domain reflecto...

The wide use of internet-enabled devices has not left the healthcare sector untouched. The health status of each individual is being monitored irrespective of his/her medical conditions. The advent of such medical devices is beneficial not only for patients but also for physicians, hospitals, and insurance companies. It makes healthcare fast, relia...

The dielectric resonator antenna (DRA) can be modeled as a series and parallel combination of electrical networks consisting of a resistor (R), inductor (L), and capacitor (C) to address peculiar challenges in antennas suitable for application in emerging wireless communication systems for higher frequency range. In this paper, a multi-stacked DRA...

Economic, social, and technical developments require the geographical regional development of a nation. People from various parts of the country migrate to city area where these developments are a continuous proven process. This migration (urbanization) stimulates many challenges and requires an innovative solution so as to provide a better environ...

In today?s world, a lot of various kinds of raw materials are shipped from one place to another as per the requirement of industries. This shipping process involved many multiple levels with multiple personalities or authorities. The intermediates may be influenced by some illegal external factors and there may be some theft or modification in the...

High performance computing is now a major area where business and computing technologies need resilient high performance to meet business continuity and real-time needs. However, many top-level business and technology organizations are still in the process of improving high performance and traffic resiliency to ensure the availability of the system...

This paper gives a novel and efficient steganography technique based on hybrid algorithms that improves the various important parameters like PSNR, MSE, IF, capacity, security. It increases the security of the confidential data by using the encryption method and give improved quality of stego images with less error rate. This paper utilizes a group...

To meet the ever-increasing demand for offering a sustainable environment, organizations are beginning to aim for cloud adoption and the migration of their IT infrastructure and operations to the cloud, utilizing various cloud-based technologies. However, cloud adoption has been impeded by the risk of being exposed as a result of a variety of conce...

A medical database of different diseases in the healthcare system was essential. The role of computer‐supported systems is essential to accurately detect diseases by examining the various components of the human body using radiological or several X‐ray, MRI, CT scans, etc. Although various approaches were used to improve healthcare systems. Several...

The furious disease named COVID‐19 is an outbreak in the current scenario. To control the spreading of this disease, new models were developed which utilized established methodologies to analyze how different containment strategies will influence the spread of the virus. It presents a novel machine learning approach that can estimate any epidemiolo...

Editor certificate

The novel coronavirus disease 2019 (COVID‐19) has been a severe health issue affecting the respiratory system and spreads very fast from one human to other overall countries. For controlling such disease, limited diagnostics techniques are utilized to identify COVID‐19 patients, which are not effective. The above complex circumstances need to detec...

Fraud claims of automobile insurance are great loss for insurance companies as well as client with insurance policy. The main motive of this work is to devise a mechanism first as predictive model to classify whether a policy claim is classified as genuine or not and secondly what different kinds of parameters should be goaled to find fraud claims....

A poultry farm monitoring system along with a livestock monitoring system is a principal system for investigating the status of bird health by collecting biological traits such as their uttered sounds. This theme combines the Internet of Things (IoT) with nonintrusive and reliable wearable sensing technology. In recent developments, machine learnin...

The presence of high level of sugar molecules in blood for a long period of time gives rise to chronic illness which is termed as diabetes. It severely affects the functioning of other organs in the body. A precise early predicting system can be very helpful in reducing the risk and severity associated with diabetes with significant influence on ha...

The Internet of Medical Things (IoMT) is a collection of medical equipment and software that can help patients get better care. The purpose of this study is to improve the security of data collected through remote health monitoring of patients utilizing Constrained Application Protocol (CoAP). Asymmetric cryptography techniques may be used to assur...

The livestock health management system is based on the principal concept to investigate bird health status by collecting biological traits like their sound utterance. This theme is implemented on four different species of livestock to cure them of bronchitis disease. This paper includes the audio features of both healthy and unhealthy livestock. Pa...

In the era of the fourth industrial revolution, all aspects of the industrial domain are being affected by emerging technologies. Digitalization of every process is taking place or under process. One of the most important components common to every domain is the supply chain process. Organizations employ a digital supply chain to track the delivery...

The underground mine environment presents a highly confined workspace. The ambiance in this confined space plays a crucial role in maintaining and ensuring good occupational health. In any working environment, deterioration in the ambient air quality presents a global challenge to improve. The traditional approach of air quality monitoring involves...

Covid-19 disease caused by novel coronavirus (SARS-CoV-2) is a highly contagious epidemic that originated in Wuhan, Hubei Province of China in late December 2019. World Health Organization (WHO) declared Covid-19 as a pandemic on 12th March 2020. Researchers and policy makers are designing strategies to control the pandemic in order to minimize its...

Ever since the pandemic of Coronavirus disease (COVID-19) emerged in Wuhan, China, it has been recognized as a global threat and several studies have been carried out nationally and globally to predict the outbreak with varying level of dependability and accuracy. Also, the mobility restrictions have had a widespread impact on people’s behavior suc...

Finally Books Published. Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis,Springer,International Publishing. Editors: Pani, S.K., Dash, S., dos Santos, W., Chan Bukhari, S.A., Flammini, F. (Eds.) https://www.springer.com/gp/book/9783030797522. Thanks to all contributors and Editors.Special thanks...

Internet of Things (IoT) is a domain where the transfer of big data is taking place in every single second. The security of these data is a challenging task; however, security challenges can be mitigated with cryptography and steganography techniques. These techniques are crucial when dealing with user authentication and data privacy. In the propos...

As Blockchain innovation picks up popularity in many areas, it is frequently hailed as a sound innovation. Because of the decentralization and encryption, many imagine that data put away in a Blockchain is and will consistently be protected. Among various abstraction layers of Blockchain architecture, the consensus layer is the core component behin...

As Blockchain innovation picks up popularity in many areas, it is frequently hailed as a sound innovation. Because of the decentralization and encryption, many imagine that data put away in a Blockchain is and will consistently be protected. Among various abstraction layers of Blockchain architecture, the consensus layer is the core component behin...

This article proposes the individual data privacy during collaborative computation in data mining method using an optimization model. The privacy problem is solved using different methodologies. The solution for individual privacy is considered as a multi-objective optimization model. Practically, the requirement for privacy varies from user to use...

An effective method of data collection that is related to the similar business in the industry for operation of a successful business organization. It helps in predicting and analyzing various business factors like challenges of running and operation of such Business, the future upgradation of product or service, users' feedback etc. For example, d...

This article presents an analysis of data extraction for classification using correlation coefficient and fuzzy model. Several traditional methods of data extraction are used for classification that could not provide sufficient information for further step of data analysis on class. It needs refinement of features data to distinguish a class that d...

Call For Book Proposals

https://www.noticebard.com/call-for-chapters-implementation-smart-healthcare-systems-using-ai-iot-blockchain/

A medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health-related areas. New and impressive medical imaging techniques have emerged over the last two decades and have greatly expanded our abil...

A medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health-related areas. New and impressive medical imaging techniques have emerged over the last two decades and have greatly expanded our abil...

Big data analytics (BDA) is systematized based on recognized diverse data group models, data family members, and movements within a huge amount of information. It considers BDA for criminal data where investigative data analysis is carried out for getting flow of activities on criminals. The rate of cyber‐crime is growing in the internet to violate...

In this paper, a whale optimization-based neural synchronization has been proposed for thedevelopment of the key exchange protocol. At the time of exchange of sensitive information, intruderscan effortlessly perform sniffing, spoofing, phishing, or Man-In-The-Middle (MITM) attack to tamperthe vital information. Information needs to be secretly tran...

Disease prediction is now prevalent in the health industry due to the need to increase the life expectancy of any human being. Diseases are of different kinds like physical, mental, environmental, human-made. Recently, machine learning is paving its path toward perfection in the field of the health industry. Machine learning (ML) with the artificia...

This book plays a significant role in improvising human life to a great extent. The new applications of soft computing can be regarded as an emerging field in computer science, automatic control engineering, medicine, biology application, natural environmental engineering, and pattern recognition. Now, the exemplar model for soft computing is human...

In the recent years, Internet has very quickly changed in range of fields starting from education, start-ups, and sports to entertainment medium, everywhere use of internet become frequent. So internet is the knowledge hub for each and every person having little knowledge about operating the web browser or mobile devices. The use of internet also c...

Call For Book Chapter (AI FOR NEUROLOGICAL DISORDERS) Elsevier. For Details,Please Visit- https://easychair.org/cfp/AIND2020 Submission link : https://easychair.org/conferences/?conf=aind2020

The novel applications of Internet of Things (IOT) and Computational intelligence in real time decision making environment can be regarded as an emerging field in computer science, artificial intelligence and systems engineering. The uses of IOT and Computational intelligence have seen an emergence in different professional fields due to its abilit...

BOOK Under Under CRC Press Book Series(Series Eds—Subhendu ku. Pani,Sujata Dash,Sunil Vadera) “Emerging Trends in Biomedical Technologies & Health Informatics Series”

Wireless Sensor Networks and the Internet of Things: Future Directions and Applications explores a wide range of important and real-time issues and applications in this ever-advancing field. Different types of WSN and IoT technologies are discussed in order to provide a strong framework of reference, and the volume places an emphasis on solutions t...

Scope of the book: The new applications of soft computing can be regarded as an emerging field in computer science, automatic control engineering, medicine, biology application, natural environmental engineering, and pattern recognition. Now the exemplar model for soft computing is human brain. The use of various techniques of soft computing are no...

Scope of the book: The blockchain revolution has radically impacted global economics and the strategic practices within different industries. The new applications of blockchain technology can be regarded as an emerging field in from data management, financial services, cyber security, IoT, and food science to healthcare industry and brain research....

Scope of the book: This edited book will outline the latest advances and developments in the field of IoT, data mining, machine learning, and artificial intelligence in the healthcare sector. The book will discus regulatory issues, design challenges relevant to IoT devices, and guidelines for probable future applications in healthcare sectors such...

Call for BOOK Chapters for an Edited Volume to be Published by Springer Nature.

Call For book proposal in CRC Press, Taylor and Francis Group.

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Rainfall is a natural demolishing phenomenon. On the other side, it also serves as a major source of water when conserved through proper channel. For this issue, estimation of rain fall is of at utmost importance. The present study employed on rain fall forecasting in annual as well as non-moon session in Odisha (India). The total annual rainfall a...

Method for Speech Processing based Patent

IOT Based Patent

A wireless sensor network may contain hundreds or even tens of thousands of inexpensive sensor devices that can communicate with their neighbors within a limited radio range. By relaying information on each other, they transmit signals to a command post anywhere within the network. Worldwide market for wireless sensor networks is rapidly growing du...

Nice to be a part of International Conference on Big Data and Informatization Education (ICBDIE 2020), China as International Technology Committees Member

Heading the Publication Chair2020 3rd International Conference on Applied Mathematics, Modeling and Simulation (AMMS2020) which will be held in Shanghai, China during September 20-21, 2020

Call for Book Chapter Entitled "Intelligent IOT Systems for Big Data Analysis:Concepts,Applications,Challenges and Future Scope with Apple Academic Press Exclusive Worldwide Distribution By CRC Press,a Taylor & Francis Group?

Data need to be analyzed so as to produce good result. Using the result decision can be taken. For example recommendation system, ranking of the page, demand fore casting, prediction of purchase of the product. There are some leading companies where the review of the customer plays a great role to analyze the factor which influences the review rati...

Patent Published

Call For BOOK Chapter

: Data need to be analyzed so as to produce good result. Using the result decision can be taken. For example recommendation system, ranking of the page, demand fore casting, prediction of purchase of the product. There are some leading companies where the review of the customer plays a great role to analyze the factor which influences the review ra...

In machine learning, ensemble methods are emerging and powerful strategies to improve the robustness and accuracy of both the supervised and unsupervised learning solutions. The basic principle of ensemble strategy is to work on a combination of diversified base classifiers and regerssors to strengthen the both kind of weak classifiers and regresso...

In machine learning, ensemble methods are emerging and powerful strategies to improve the robustness and accuracy of both the supervised and unsupervised learning solutions. The basic principle of ensemble strategy is to work on a combination of diversified base classifiers and regerssors to strengthen the both kind of weak classifiers and regresso...

Ensemble method requires in classification or regression model, to obtain better accuracy performance. It uses multiple learning algorithms, for which it can easily approaches to a better classifier or predictor compared to a single model. Gradient Boosting is a machine learning technique that can be used for both classification and regression prob...

Several data mining techniques have been proposed to take out hidden information from databases. Data mining and knowledge extraction becomes challenging when data is massive, distributed and heterogeneous. Classification is an extensively applied task in data mining for prediction. Huge numbers of machine learning techniques have been developed fo...