Sachi Mohanty

• Professor at KIIT University

The Internet of Medical Things (IoMT) revolutionizes healthcare by enabling real‐time patient monitoring and treatment. Still, its vulnerability to cyberattacks poses significant risks to patient safety and privacy. This study leverages machine learning (ML) to enhance IoMT security, evaluating conventional and ensemble models on the CIC IoT and th...

This study addresses the critical challenge of detecting and classifying tomato leaf diseases using advanced deep learning technologies, a pivotal step in enhancing productivity within precision agriculture. We developed a novel diagnostic system capable of categorizing tomato leaves into ten distinct classes—nine corresponding to specific diseases...

Dynamic routing problem is an important research challenge for the robust working of the Internet of Things network as many sensors are equipped with limited energy resources. The work carried out in this paper uses a novel energy model to formulate the routing problem for IoT networks. An AI-based approach using a modified A* algorithm proposes a...

Brain tumour is a grave health issue that affects thousands of individuals globally, either directly or indirectly. A patient’s improved quality of life and the effectiveness of therapy depend on an early and precise identification of brain tumours. In order to detect brain tumours, numerous imaging modalities are employed. The most popular of thes...

Smart City is one of the recent concepts which every city is craving for now a days. Research is going on extensively at both national and international levels in developing smarter and smartest cities for the upcoming era. This chapter is an effort to bring about underlying concepts, needs, provocations, exigencies behind the establishment of styl...

The accurate categorization of medical images is critical in facilitating clinical treatment and care. In recent studies, deep learning (DL) models have demonstrated tremendous possibility in image-based diagnosis, specifically in the areas of pneumonia detection, tumor cell identification, and COVID-19 diagnosis. It is challenging to identify Mpox...

Background Heart muscle damage from myocardial infarction (MI) is brought on by insufficient blood flow. The leading cause of death for middle-aged and older people worldwide is myocardial infarction (MI), which is difficult to diagnose because it has no symptoms. Clinicians must evaluate electrocardiography (ECG) signals to diagnose MI, which is d...

Online platforms are preferred by customers when choosing and buying products. The contemporary digital era is witness to e-commerce platforms. Customers rely on various aspects of an e-commerce website for their needs. Sometimes they get more benefit from other digital platforms. This research focusses on how consumers can benefit from digital pla...

Indian mythology is a treasure trove of divine tales, yet a gap in understanding still exists between foreign tourists and the rich cultural heritage of Indian deities. To address the problem, this paper presents a deep learning-driven mobile application named “MythicVision” designed to help foreign tourists better understand India’s rich cultural...

In the present scenario, cancerous tumours are common in humans due to major changes in nearby environments. Skin cancer is a considerable disease detected among people. This cancer is the uncontrolled evolution of atypical skin cells. It occurs when DNA injury to skin cells, or a genetic defect, leads to an increase quickly and establishes maligna...

To identify infections caused by the COVID-19 virus, specifically those leading to Pneumonia. The datasets used included images of infected individuals, X-rays of the Chest, and standard non-COVID-19 X-ray images of the chest. In our research, X-ray chest images were utilized to detect Pneumonia caused by COVID-19. The dataset was collected from th...

Breast cancer (BC) is a type of cancer which progresses and spreads from breast tissues and gradually exceeds the entire body; this kind of cancer originates in both sexes. Prompt recognition of this disorder is most significant in this phase, and it is measured by providing patients with the essential treatment so their efficient lifetime can be p...

Process mining, a burgeoning discipline within data science, demonstrates a significant contribution to the software development lifecycle of diverse real-time consumer-centric projects. This paper underscores the prominence of integrating predictive business process monitoring into organizational process models, as it can substantially impact prof...

Modern organ transplant and donor procedures present numerous necessities and also obstacles related to Organ procurement, their delivery, and transplanting are all steps in the enrolment, matchmaking, and disposal process. These processes must adhere to various legal, clinical, ethical, and technical limitations. Consequently, there is a need for...

Task scheduling problem (TSP) is huge challenge in cloud computing paradigm as number of tasks comes to cloud application platform vary from time to time and all the tasks consists of variable length, runtime capacities. All these tasks may generated from various heterogeneous resources which comes onto cloud console directly effects the performanc...

Chronic diseases, such as diabetes, cause serious challenges worldwide due to their long-lasting effect on health and quality of life. Diabetes, considered a high glucose level, requires continuous management to avoid complications like kidney failure, blindness, and heart disease. Leveraging state-of-the-art technology, especially IoT devices, sho...

Global warming and lack of immunity in crops have recently resulted in a significant increase in the spread of agricultural diseases. This leads to large-scale crop destruction, less cultivation, and ultimately financial loss for farmers. Identification and treatment of illnesses have become a big issue because of the fast development in disease di...

The Internet of Things (IoT) has revolutionized our lives, but it has also introduced significant security and privacy challenges. The vast amount of data collected by these devices, often containing sensitive information, makes them prime targets for cyberattacks. Traditional security methods struggle to keep pace with the evolving threat landscap...

INTRODUCTION: Brain tumors have become a major global health concern, characterized by the abnormal growth of brain cells that can negatively affect surrounding tissues. These cells can either be malignant (cancerous) or benign (non-cancerous), with their impact varying based on their location, size and type.OBJECTIVE: Early detection and classific...

Blockchain technology uses a secure and decentralised framework for transaction management and data sharing within supply chains. This is particularly crucial in the pharmaceutical industry, where product authenticity and traceability are paramount. Blockchain plays a pivotal role in preventing product loss and counterfeiting, while simultaneously...

In today’s world, where the global population is expanding at an unprecedented rate, addressing the challenge of poverty has become more critical than ever before. In the wake of the COVID-19 pandemic, the issue of poverty has taken on renewed urgency as communities worldwide grapple with the socioeconomic fallout. Amidst the difficulties posed by...

Dear Colleagues, The Special Issue aims to present the latest research advancements and challenges in the field of Artificial Intelligence and Machine Learning (AIML). The focus is on exploring new AIML and Convolutional Neural Network (CNN) based architectures and techniques for improving their performance and efficiency, as well as case studies...

Terrestrial planets and their moons have impact craters, contributing significantly to the complex geomorphology of planetary bodies in our Solar System. Traditional crater identification methods struggle with accuracy because of the diverse forms, locations, and sizes of the craters. Our main aim is to locate lunar craters using images from Terrai...

The integration of high data transmission rates and the recent digital multimedia technology, paves the way to access a huge amount of video over the internet, in seconds. Additionally, uploading videos to different websites is no more confined to expert software professionals resulting in duplication of video data which led to exorbitant growth of...

Vehicle detection in Remote Sensing Images (RSI) is a specific application of object recognition like satellite or aerial imagery. This application is highly beneficial in different fields like defense, traffic monitoring, and urban planning. However, complex particulars about the vehicles and the surrounding background, delivered by the RSIs, need...

INTRODUCTION: The cardiopulmonary arrest is a major issue in any country. Gone are the days when it used to happen to those who are aged but now it is a major concern emerging among adolescents as well. According to the World Health Organization (WHO), cardiac arrest and stroke is still a major concern and remains a public health crisis. In past ye...

The aim of this study to find out awareness of cyber security education in India. This Study applies unifies theory model named Interpretive Structural Modelling (ISM). Cybersecurity is crucial to the information technology industry. The first thing that springs to mind whenever we consider cyber security is the enormous daily increase in cybercrim...

The terrestrial planets, including the Moon, Earth, and Mars, have impact craters, contributing significantly to the solar system's complex geomorphology. However, conventional crater identification methods struggle with the accuracy, of their varied shapes, locations, and sizes. Our main aim is to locate lunar craters using Digital Elevation Model...

With the increasing reliance on technology in traffic management systems, ensuring road safety and protecting the integrity of these systems against cyber threats have become critical concerns. This research paper investigates the potential of reinforcement learning techniques in enhancing both road safety and cyber security of traffic management s...

Task scheduling is a crucial aspect in cloud computing paradigm as tasks with different processing capacities arise from heterogeneous resources and scheduling these different tasks to precise virtual machines (VM) in cloud datacenters is a crucial job for the Cloud Service Provider (CSP) as it is an NP-hard problem. Ineffective scheduling of tasks...

The precise and prompt identification of plant diseases is of utmost significance in the field of agricultural technology. In order to classify tomato leaf diseases, this work gives a thorough comparison of many deep learning models. To help in the early identification and treatment of a variety of illnesses that affect tomato plants, this research...

One of the most challenging issues on online social networks is identifying spam accounts. The concern stems from the fact that these personas pose a significant threat, as they may engage in harmful activities against other users, extending beyond mere annoyance or low-quality advertisements. The demand for accurate and effective spam detection al...

Background: The recent pandemic has shown its different shades across various solicitations, especially in the healthcare sector. It has a great impact on transforming the traditional healthcare architecture, which is based on the physical approaching model, into the modern or remote healthcare system. The remote healthcare approach is quite achiev...

Food crops are important for nations and human survival. Potatoes are one of the most widely used foods globally. But there are several diseases hampering potato growth and production as well. Traditional methods for diagnosing disease in potato leaves are based on human observations and laboratory tests which is a cumbersome and time-consuming tas...

The agricultural sector makes a significant economic impact in India. It contributes 19.9% to the national GDP. The prosperity of the country's economy greatly affects the country's progress and the quality of life for Indian citizens. The vast majority of farms still use antiquated methods rather than adopting a data-driven strategy to increase ou...

Early detection and proper treatment of epilepsy seizure is essential and meaningful to those who suffer from this disease. Symptoms of seizures are confusion, abnormal gazing, and obsessive hand movements. Neurological exams, blood testing, cognitive tests, and neuroimaging modalities are some of the techniques used to detect epileptic seizure act...

Skin ailments don't just affect the physical appearance of an individual but also lead to psychological issues. Vitiligo and discoloration patches are such conditions that can negatively impact one's self-assurance. Here, authors have designed 14 distinct models to classify skin lesions using the HAM10000 dataset which is sorted into 7 classes incl...

In image-based diagnosis, machine learning recently showed great potential, particularly in the detection of cancer, the identification of tumour cells, and the diagnosis of COVID-19. Similar methods could be used to detect monkeypox on human skin, however there isn’t a public dataset with data on monkeypox that can be used to train and evaluate ma...

The surge in e-scams, attributed to an estimated 30% of fake social media accounts, has highlighted the urgent need to identify such fraudulent profiles. While designed for this task, current models either need more efficiency, cannot handle multimodal networks, or are too complex for real-time applications. This paper introduces a cutting-edge dee...

Cancer is increasingly becoming the leading cause of death around the world. Machine learning is critical in the deployment of an automated model that aids in better diagnosis. The traditional cancer diagnosis relies solely on biopsy data, which overlooks essential elements of disease such as the rate of proliferation and tissue behavior. As a resu...

In this paper, a data mining approach has been developed to analyze customer behavioral patterns and to get a further idea of the scale of the products purchased. Using the approach we found the best and least performing products, the average number of the products that the customer is interested in buying, And using the apriori algorithm we can ge...

In this study, we have considered electronics product as laptop one of the essential items in digital era. The decision-making and buying processes for laptops are time consuming and fraught with competing priorities. Furthermore, machine learning is used to pick and purchase laptops using a variety of strategies. Through a questionnaire that provi...

INTRODUCTION: Evaluation is a key activity to improve the quality of service in every domain. However, it becomes quite challenging to measure the performance in some areas. Teaching is one such domain where it is bit intricating to evaluate the performance of teaching community. Here, in this work, authors have proposed effective usage of students...

INTRODUCTION: Cloud services are becoming increasingly important as advanced technology changes. In these kinds of cases, the volume of work on the corresponding server in public real-time data virtualized environment can vary based on the user’s needs. Cloud computing is the most recent technology that provides on-demand access to computer resourc...

Emerging technologies including such Internet of Things (IoT) and blockchain contribute significantly to the improvement of health services. The purpose of this chapter is to achieve and democratize services through the provision of medical care as a service. The result was the development of medical gadgets integrating healthcare sensors. It links...

Web browsers are the applications that the majority of computer users utilize the most. Users carry out a wide range of tasks, including accessing the internet, downloading files, and using social media programs, using a web browser to access email accounts. Many crimes committed using digital resources need to be investigated by looking at online...

The number of casualties and fatalities brought on by road accidents is one of the most significant concerns in the modern world. Instead of dispatching ambulances only at the time of demand, pre-positioning them can reduce the response time and provide prompt medical attention. Deep learning techniques hold great potential and have proven to be es...

Purpose The main purpose of this paper is to explain the preferences of consumers for using online payment services. This paper applies a unified theory model named stimulus-organism-response (S-O-R) theory for exploration. Design/methodology/approach This is quantitative research based on the structural equation modelling method. The stimulus-org...

Abstract:Beef is one of the most widely consumed meat, being an organic substance it is prone to degradation over time. In our paper we have proposed a Convolutional Neural Network model to grade a given sample of Beef and predict its freshness as good or bad. We have proposed a CNN model architecture along with a data (image) pre-processing pipeli...

The pandemic has formed an urgent demand for coordinated systems to respond to the COVID across health sectors, and digital health resolutions have been recognized as promising methods to tackle this challenge. This paper discusses the current challenges in way of implementing a sound digital health ecosystem ensuring sustainable solutions in healt...

Medical data impacts a vital role in the diagnosis of cancer disease. Redundant and irrelevant featured genes are two different parameters that minimize the machine learning model’s performance. Feature selection (FS) plays a crucial role in enhancing model performance. FS is used to attain good classification accuracy by reducing the overall compu...

One of the best technologies is Telemedicine (TM) which has recently gained a lot of popularity because of its intensifying deployment and development of digital amenities, worldwide. TM is associated with various healthcare services like medicine, surgery, diagnosis, metabolic, etc. and provide access to patients’ care. Also enhances resource and...

Depression is a psychological condition which hampers day to day activity (Thinking, Feeling or Activity). The early detection of this illness will help to save many lives because it is now recognized as a global problem which could even lead to suicide. Electroencephalogram (EEG) signals can be used to diagnose depression using machine learning te...

The search of planets capable of sustaining life has been taken to a whole new level with NASA’s Kepler mission. The mission has successfully discovered around 4000 planets, however, the task of manual evaluation of this data is cumbersome and labor intensive, and calls for more efficient methods of discovering exoplanets to remove false positives...

The ongoing evolution and mutation of SARS-CoV2 pose a significant challenge to the development of effective medication, as genetic changes can render previously developed drugs ineffective. To address this issue, researchers are exploring various strategies to predict and assess the emergence of novel SARS-CoV2 strains through phylogenetic analysi...

With the recent expansion of social media in the form of social networks, online portals, and microblogs, users have generated a vast number of opinions, reviews, ratings, and feedback. Businesses, governments, and individuals benefit greatly from this information. While this information is intended to be informative, a large portion of it necessit...

Congestion is a major issue in all metropolitan cities, particularly in urban areas. Using smart technologies, Cities may be extraordinary and can be transformed into “smart cities”. The Internet of Things (IoT) is a new paradigm in computing that seems to have the capacity to enhance impact in smart city implementation. For smart cities, IoT and c...

Poverty is a glaring issue in the twenty-first century, even after concerted efforts of organizations to eliminate the same. Predicting poverty using machine learning can offer practical models for facilitating the process of elimination of poverty. This paper uses Multidimensional Poverty Index Data from the Oxford Poverty and Human Development In...

Planning the daily routines of human life depends heavily on the weather. Knowing the weather ahead of time substantially aids in better planning for aviation, agriculture, tourism, and other operations, which avoids monetary loss and casualties. People in today's technological era heavily rely on weather forecasts. Researchers and computer scienti...

The current advancement in cloud computing, Artificial Intelligence (AI), and the Internet of Things (IoT) transformed the traditional healthcare system into smart healthcare. Healthcare services could be enhanced by incorporating key techniques like AI and IoT. The convergence of AI and IoT provides distinct opportunities in the medical field. Fal...

White blood cells (WBC) or leukocytes are a vital component of the blood which forms the immune system, which is accountable to fight foreign elements. The WBC images can be exposed to different data analysis approaches which categorize different kinds of WBC. Conventionally, laboratory tests are carried out to determine the kind of WBC which is er...

The learning methodologies used by students are directly proportional to their abilities to learn. Various learning methodologies have been used to gain student acceptance and satisfaction with the module taught by the teacher. In this article, the authors approach the different methods and analyze these methodologies. To determine the impact, they...

MDD or depression is psychiatric disorder which affects many of people globally. Due to the nonexistence of any available laboratory tests, poor identification of depression is a key contributing factor. In this study, a framework is developed in order detect depression with minimal number of channels to increase the portability as well as with hig...

Accurate demand forecasting has become extremely important, particularly in the food industry, because many products have a short shelf life, and improper inventory management can result in significant waste and loss for the company. Several machine learning and deep learning techniques recently showed substantial improvements when handling time-de...