Dr. Subhendu Kumar Pani

• PhD(computerScience),FSSARSC,LMIE, LMISTE, LMISCA, LMOBA.LMOMS,SMIACSIT, SMUACEE
• Professor at Orissa Engineering College,Bhubaneswar,Orissa

**📢 Call for Book Proposals** 🌟 **Advances in Computational Collective Intelligence** 📚 Published by **Routledge, Taylor & Francis Group** We invite innovative book proposals exploring computational intelligence, multi-agent systems, and collaborative problem-solving across diverse fields. Share groundbreaking research and reach a global audien...

**Call for Book Proposals: Medical Robotics Series (Elsevier)** We invite book proposals for the Elsevier series **"Medical Robotics and Computer-Assisted Surgery"**, focusing on AI-driven innovations, data analytics, and evidence-based approaches in medical robotics. Topics include surgical robotics, rehabilitation, human-robot collaboration, pr...

Quality chapters are included in the invitation for the upcoming book to be published by Elsevier.

Publisher-Elsevier Navigating the Frontiers with Cognitive and Meta Learning Strategies, this compelling exploration delves into the dynamic intersection of cognitive science and meta-learning within the realm of biomedical research. The book embarks on a journey to unravel the complexities of contemporary health challenges by harnessing the power...

The demand for poultry meat all over India today encourages to increase the number of farms to meet the consumption capacity of the country. On the other hand, the farm maintains an optimal ratio of female and male chickens to receive good profit and expand the farm's growth. As aresult,modern poultry farmers are now adopting various intelligent te...

In this paper, NeuralProphet (NP), an explainable hybrid modular framework, enhances the forecasting performance of pandemics by adding two neural network modules; auto-regressor (AR) and lagged-regressor (LR). An advanced deep auto-regressor neural network (Deep-AR-Net) model is employed to implement these two modules. The enhanced NP is optimized...

The healthcare sector has evolved by integrating consumer technologies, IoT, and deep learning. IoT in healthcare includes connected-health, smart-health, and mobile-health, enabling devices to share information for better care. Deep learning, particularly in medical imaging, shows promise for future medical applications. A recent study proposed a...

The integration of Fog computing and 5G communication may enhance Cyber Physical Systems (CPSs) for effective time identification of cyber attacks among consumer electronics. An unsupervised Intrusion Detection System (IDS) based on Generative Adversarial Networks (GANs) and Recurrent Neural Networks (RNNs) is presented in this study. This system i...

A prominent use case of consumer electronics-based Internet of Things (IoT) applications, focused on smart cities, is connected devices that enable cities to optimize their operations via access to high volumes of sensitive data. Yet, these devices commonly utilize public channels for data access and sharing, requiring consistent communication prot...

Background: With new variants of COVID-19 causing challenges, we need to focus on integrating multiple deep-learning frameworks to develop intelligent healthcare systems for early detection and diagnosis. Objective: This article suggests three hybrid deep learning models, namely CNN-LSTM, CNN-Bi- LSTM, and CNN-GRU, to address the pressing need for...

Data mining methods have been proposed for finding hidden information in databases. When data is massive, dispersed, and heterogeneous, data mining and knowledge extraction become difficult. Classification is a common prediction task in data mining. Countless AI calculations have been proposed for the reason. Group learning consolidates numerous ba...

This paper has emphasized several sounds for Bird Species Recognition based on their vocalization. Although various techniques have been designed with good equipment for identifying different birds’ sounds, still it has limitations to classify or recognize different birds’ sounds at dissimilar moments of traveling. Thus, this paper presents the mod...

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...

Computerization has been a need in recent years. As a result, massive amounts of digital data have been accumulated in practically every industry. Data mining approaches have arisen to serve with this rich data and sparse informations. Data-mining is a process that uses computers to extract and examine hidden patterns in data. Users may understand...

Spinal cord segmentation is the process of identifying and delineating the boundaries of the spinal cord in medical images such as magnetic resonance imaging (MRI) or computed tomography (CT) scans. This process is important for many medical applications, including the diagnosis, treatment planning, and monitoring of spinal cord injuries and diseas...

Bone Marrow Cancer is a type of cancer that develops in the stem cells of the bone marrow that are responsible for blood formation. AML(Acute Myeloid Leukaemia) and MM(Multiple Myeloma) are both types of malignancy that can affect bone marrow. Conventionally, the process was carried out manually by a skilled professional in a considerable amount of...

The signals produced by an electrocardiogram (ECG) are made up of intricate pattern se-quences that have a periodic structure. These pattern sequences contain an initial P-wave, which denotes the beginning of an ECG wave, a QRS sequence, which denotes the intensi-ty of the pulse, and a T segment, which denotes the conclusion of the wave. Characteri...

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...

Bone Marrow Cancer is a type of cancer that develops in the stem cells of the bone marrow that are responsible for blood formation. AML(Acute Myeloid Leukaemia) and MM(Multiple Myeloma) are both types of malignancy that can affect bone marrow. Conventionally, the process was carried out manually by a skilled professional in a considerable amount of...

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...

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Supervised machine learning is a vast field, and meta-learning is one the sub parts of that which is applied on data of previous years. Numerous data mining problems and techniques are available to take out unseen information from huge databases. Different input data are classified into target classes through classification assignment. We are using...

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...

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...

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....