Browse Items (9795 total)
Sort by:
-
Mining Heterogeneous Lung Cancer from Computer Tomography (CT) Scan with the Confusion Matrix
Early detection of any sort of cancer, particularly lung cancer, which is one of the worlds most lethal illnesses, can save many lives. Life expectancy can be improved and the degree of mortality reduced by adopting the early forecast. While there are different methods like X-ray and CT scans to detect lung cancer cells, CT images resulted as more favored. The 2D images are used for more accurate medical results, such as CT scans. The proposed approach here will address how to interpret the CT images for the Mining Heterogeneous Lung Cancer from Computer Tomography (CT) Scan with the Confusion Matrix. This research will explore how the image conversion can be achieved through different methods of image processing to obtain better results from CT images. The Confusion Matrix helps to estimate inequality in a picture pattern. After the evaluation of the processed images by Confusion Matrix, a final accuracy with a result of 93% is obtained. 2023 Scrivener Publishing LLC. -
A deep learning approach in early prediction of lungs cancer from the 2d image scan with gini index
Digital Imaging and Communication in Medicine (DiCoM) is one of the key protocols for medical imaging and related data. It is implemented in various healthcare facilities. Lung cancer is one of the leading causes of death because of air pollution. Early detection of lung cancer can save many lives. In the last 5years, the overall survival rate of lung cancer patients has increased, due to early detection. In this paper, we have proposed Zero-phase Component Analysis (ZCA) whitening and Local Binary Pattern (LBP) to enhance the quality of lung images which will be easy to detect cancer cells. Local Energy based Shape Histogram (LESH) technique is used to detect lung cancer. LESH feature extracts a suitable diagnosis of cancer from the CT scans. The Gini coefficient is used for characterizing lung nodules which will be helpful in Computed Tomography (CT) scan. We propose a Convolutional Neural Network (CNN) algorithm to integrate multilayer perceptron for image segmentation. In this process, we combined both traditional feature extraction and high-level feature extraction to classify lung images. The convolutional neural network for feature extraction will identify lung cancer cells with traditional feature extraction and high-level feature extraction to classify lung images. The experiment showed a final accuracy of about 93.27%. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. -
Lung Cancer Diagnosis from CT Images Based on Local Energy Based Shape Histogram (LESH) Feature Extration and Pre-processing
Lung cancer as of now is one of the dreaded diseases and it is destroying humanity never before. The mechanism of detecting the lung cancer will bring the level down of mortality and increase the life expectancy accuracy 13% from the detected cancer diagnosis from 24% of all cancer deaths. Although various methods are adopted to find the cancer, still there is a scope for improvement and the CT images are still preferred to find if there is any cancer in the body. The medical images are always a better one to find with the cancer in the human body. The proposed idea is, how we can improve the quality of the diagnosis form using pre-processing methods and Local energy shape histogram to improve the quality of the images. The deep learning methods are imported to find the varied results from the training process and finally to analyse the result. Medical examination is always part of our research and this result is always verified by the technicians. Major pre-processing techniques are used in this research work and they are discussed in this paper. The LESH technique is used to get better result in this research work and we will discuss how the image manipulation can be done to achieve better results from the CT images through various image processing methods. The construction of the proposed method will include smoothing of the images with median filters, enhancement of the image and finally segmentation of the images with LESH techniques. 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
A Mathematical Model to Explore the Details in an Image with Local Binary Pattern Distribution (LBP)
Mathematical understanding is required to prove the completeness of any research and scientific problem. This mathematical model will help to understand, explain and verify the results obtained in the experiment. The model in a way will portray the mathematical approach of the entire research process. This paper discusses the mathematical background of proposed prediction of lung cancer with all the parameters. Processes involved analyzing the 2D images, basic quantitative method, from, related equation and fundamental algorithmic understanding with slightly modified versions of prediction are represented in the below section with how the local binary pattern distribution can be modified so that we get reduced run time and better accuracy in the final result. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Procedural Justice, Perceived Organisational Support, and Organisational Citizenship Behaviour in Business School
Background/Purpose: The effectiveness of a Business School depends on the extra role behaviours or Organ-isational Citizenship Behaviour (OCB) of its committed academics. The social exchange theory postulates that employees tend to display OCB when they know how their organisation would treat them. As B-School academics' inclination towards OCB is less understood, this study examines the interaction between Procedural Justice (PJ), Perceived Organisational Support (POS) and Organisational Citizenship Behaviour (OCB) among B-School academics. Methods: A survey was carried out to collect data from B-School academics, 378 responses were collected from B-Schools from the state of Kerala, India. Data validity and reliability analyses, and direct and indirect effects of research variables were tested using Partial Least Square (PLS) path modelling. Results: The results indicate PJ positively influences POS as well as dimensions of the OCB for B-School academics. Contrary to previous OCB studies, this study finds that POS do not significantly relate to Courtesy. The findings also show that POS fully mediates PJ's relationship with Altruism, Conscientiousness and Civic Virtues of B-School academics. Conclusion: This research explains the dynamics of PJ and POS towards OCB in a B-School setting. The academic setting of this study provides more insight into the relationships and provides insights into enhancing the organisational citizenship behaviour of academics in enhancing educational outcomes. Further, it also adds to existing understanding of organisational behaviour theory. 2021 Elizabeth Dominic et al., published by Sciendo. -
Green synthesis of reduced graphene oxide using Plectranthus amboinicus leaf extract and its supercapacitive performance
A rapid, efficient, green and eco-friendly approach for the preparation of reduced graphene oxide (rGO) using Plectranthus amboinicus (Indian borage) leaves extract (PAE) is explored in this study. The improvement in the reduction process was studied by varying the concentration of graphene oxide (GO), temperature and time duration. The physical and chemical properties of rGO are studied using Raman spectroscopy, Fourier transform infrared spectroscopy, X-ray diffraction (XRD) and field emission scanning electron microscope. The result obtained from XRD analysis confirms the removal of an oxygen-containing functional group of GO significantly by PAE. Raman analysis showed a higher ID/IG ratio for rGO (1.297) than GO (1.07), which indicates a higher level of disorder in the rGO with a decrease in the average size of the sp2 domain. From the electrochemical studies, a significant specific capacitance of 92.05Fg1 (5mVs1) is obtained from the cyclic voltammetry (CV) curves and 73.20Fg1 (0.1Ag1) from the galvanostatic chargedischarge (GCD) curve. 2021, Indian Academy of Sciences. -
Quantum Algorithm: A Classical Realization in High-Performance Computing Using MPI
Volume3, Special Issue3 ISSN: 23198753 -
Role of Artificial Intelligence and Robotics in Shaping the Students: A Higher Educational Perspective
An unprecedented shift in technology has begun in the modern era. Robotics and artificial intelligence (AI) advancements have created fresh positions while de-skilling or retraining many existing ones. Technical developments at higher education institutions (HEIs) protect students against potential changes in their field of study brought on by A) and prepare them for success in the workplace. This research aims to investigate how, over the past 150 years; globalization has fundamentally changed human civilization. Conventional education confronts enormous challenges as energy, the internet of things, and the cyber-physical systems they oversee diminish. One may argue that energy, the internet of things, and the cyber-physical systems that are under its jurisdiction are the foundations of all future education. The demise of these systems presents a significant threat to traditional schooling. Students' screen time is increased by this action, which has an impact on their mental health. Five-fold cross-validation with 210 students from Delhi NCR and abroad is beneficial for the classification techniques SVM, Naive Bayes, and Random Forest. The study examined the factors that contributed to an increased rate of mental health issues among undergraduate students in Delhi, India, following the introduction of the COVID-19 virus. The results have demonstrated that while technology's practical applications will likely have a positive influence on education in the future, there may be negative effects as well. This is an opportunity for educators and learners to support excellence and remove obstacles that prevent many kids and schools from achieving it. Therefore, in the future, every nation will need to create an education system that is more technologically sophisticated. 2024 IEEE. -
India Gateway Program: Transformational learning opportunities in an international context
Internationalisation is increasingly important in the social work curriculum. With globalisation and international resettlement, social workers require competencies to work locally with diverse populations as well as overseas. Study abroad experiences are used to enhance international content, cultural sensitivity and self-awareness in curricula. This article evaluates an Australian study tour focussing on students perspectives. Indications are that it was effective in enhancing cultural sensitivity, understanding of factors contributing to inequity, the lived experience of poverty, personal growth and professional identity. For students, it was a valued and transformational learning experience. 2015, The Author(s) 2015. -
The Dark Side of Internet of Things in E-Commerce: Uncovering the Misuse of Personal Information
The world today patronises e-commerce websites and the extent of ease, convenience and possibilities it has brought. E-commerce has positively rattled the world and, most importantly, the economy and gross domestic product of every nation. It has facilitated countries to be progressive and enjoy goods and services from beyond geographical borders. It made possible and common what was once regarded as impossible and far-fetched. E-commerce has not only over-stocked market shelves but also raised the world standard from a business and consumer point of view. E-commerce is defined to be a wide range of business activities in an online space for products, goods, and services (Gupta, 2014). E-commerce is the outcome of an economy that functions on the Internet. Though e-commerce has been present for over thirty years, its popularity and effect have risen enormously in the recent past. It is understood to be the business of buying, selling, and trading through electronic communications. E-commerce has two models in force, the B2B (Business to Business) and B2C (Business to Consumer), where the former is economic transactions between businesses, and the latter between a business and consumer. Though both models are popular and well-known, the former is sought after (Tian, and Stewart, 2006). Traditional commercial businesses have also adopted the mode of online trade and business for their goods. If not fully transformed, they have a dual approach of a continued brick-and-mortar structure and also an online portal. For example, H&M, a famous clothing store, has been in existence since 1947. It was in 1998 that they began their online retail store to keep in touch with the changing trends of the market needs. In 2023, there was as many as 1224 million e-commerce websites the world over. This in itself shows the extent to which the world has developed, adapted, and benefited from online businesses and transactions (Gennaro, 2023). The goal of e-commerce websites is just the same as a normal business. They intend to hit their profit margins, increase branding along with sales maximisation and risk minimisation. Apart from this, they have widened the aspect of an economy to now being a global economy where there are communications, interactions, and direct transactions buyers and sellers from various parts of the world. This advancement in business models has had a ripple effect on other aspects and tools of business functions, such as marketing and advertising. Marketing aims at making known to society the availability of certain products, goods, services, and their utility and features so that consumers can make an informed decision while shopping. Conventional marketing involves advertising and letting people know that such a product is available and has certain uses with the hope that promotion turns into a sale. Marketing has been open, standard, and objective. However, the marketing that we see today is powered by data, so it is subjective, customised and sure to catch the interest of consumers. This is happening through several online portals/agencies, and marketers who use data provided by online consumers for their monetary gain. At one point data is beneficial to the consumers in terms of availability of the products at their fingertips and without stepping out from home; on the other hand the data provided by the consumers remains stored with the websites, or in their cloud and subsequently used by such portals and also sold to others without approval from the users themselves. This raises serious concerns about the privacy rights of users and the extent of protection rendered to their data. There is constant debate in the convergence of data, Internet, and e-commerce because of the immense support in its ease and comfort versus the lesser known but great evil of infringement of rights to privacy and personal data. This chapter focuses on understanding how the personal information of consumers misused by e-commerce companies breaking down various roles of big data, the Internet of Things (IoT), artificial intelligence, and digital marketing. 2025 Taylor & Francis Group, LLC. -
The Internet of Things (IoT): A Cripple to Data Privacy and Security
The Fourth Industrial Revolution has paved the way for the intersection of technological advancements and innovation. Its widespread utility and convenience has had an overwhelming impact the world over. The Internet of Things (IoT) is one such advancement. It is an Internet-enabled system of physical sensory objects that have the ability to identify, share and analyse data. The goal of such advancement is to positively impact the quality of human life and to ease its everyday functioning. IoT functions on data, which can be general, personal and sensitive data. Law enforces and assures protection of personal data under the banner of privacy, known to be the right to data protection. It is recognized as an internationally accepted human right and, to nation-states, a fundamental right. The overall aim of such provisions in internationally recognised documents like the Universal Declaration of Human Rights (UDHR, 1948), the European Charter of Fundamental Rights (2000) and domestic laws like the Federal Trade Commission Act (1914) are to protect users and their data in light of the dynamic world of technology and innovation. IoT is user-friendly, enabling and convenient, but comes with its own set of challenges that cripples the fundamental and human right of data privacy and security. The current legislations on privacy hold data protection in highest reverence, assuring the user of absolute control. Though captivating in its definition of protection, in reality it falls short due to inefficiency in enforcement and application. The chapter offers a summary of the idea of data being ones own property and the crucial intervention of users data in the functioning of IoT. Highlighting the eagerness of embracing technological advancements, the chapter draws attention to the challenges of the IoT through the lens of data privacy and security. It traces its importance by using various case studies that reveal the loosely drafted, or rather incomprehensible, regulations of nation-states in protecting the right of privacy of users. The chapter concludes by considering a few ways of effective enforcement to keep intact the sanctity of the right to data privacy and security. 2025 Taylor & Francis Group, LLC. -
Gandhiji and RSS: The Cultural Grounding of Social Representations
Exploring the cordial relationship and mutual respect between Gandhiji and the Rashtriya Swayamsevak Sangh (RSS), this article critically examines the political rhetoric against the RSS and its implications. As a nationalist cultural organisation, the RSS had been well aligned with most of the social and cultural programmes initiated by Gandhiji. When critics of the RSS like Jawaharlal Nehru were keen on crushing the RSS, the truth-seeking political philosopher Gandhiji applauded its discipline, annihilation of untouchability and the rigorous simplicity. This article demonstrates how the serious charges against the RSS that were brought to the notice of Gandhiji by a section of Congress leaders further cemented the cultural grounding of social representations between the two, instead of making Gandhiji be the stranger of the RSS. 2023 ICHR. -
Religions, Women and Discourse of Modernity in Colonial South India
Colonial education and missionary discourse of modernity intensified struggles for continuity and change among the followers of Hinduism and Christianity in nineteenth century India. While missionary modernity was characterised by an emphasis on sociocultural changes among the marginalized women through Christian norms of decency, orthodox Hindus used traditional cultural practices to confront missionary modernization endeavours. This article posits that the discourse of missionary modernity needs to be understood through the principles of Western secular modernity that impelled missionaries to employ decent clothing as a symbol of Christian femininity. It argues that missionary modernity not only emboldened the marginalized women to challenge their ascribed sociocultural standing but also solidified communitarian consciousness among the followers of Hinduism and Christianity substantially. Even though Travancore state defended the entrenched customary practices, including womens attire patterns, with all its potency through authoritative proclamations, it could not dissuade missionaries from converting the marginalized women to missionary modernity. 2022 by the author. -
Colonialism and Communalism: Religion and Changing Identities in Modern India
Christhu Doss examines how the colonial construct of communalism through the fault lines of the supposed religious neutrality, the hunger for the bread of life, the establishment of exclusive village settlements for the proselytes, the rhetoric of Victorian morality, the booby-traps of modernity, and the subversion of Indian cultural heritage resulted in a radical reorientation of religious allegiance that eventually created a perpetual detachment between proselytes and the others. Exploring the trajectories of communalism, Doss demonstrates how the multicultural Indian society, known widely for its composite culture, and secular convictions were categorized, compartmentalized, and communalized by the racialized religious pretensions. A vital read for historians, political scientists, sociologists, anthropologists, and all those who are interested in religions, cultures, identity politics, and decolonization in modern India. 2024 M. Christhu Doss. -
Classification of Silicon (Si) Wafer Material Defects in Semiconductor Choosers using a Deep Learning ShuffleNet-v2-CNN Model
The silicon wafer is one of the raw materials used to make semiconductor chipsets. Semiconductor failure or dysfunction could be the result of defects in the layers of this material. As a result, it is essential to work toward the development of a system that is both quick and precise in identifying and classifying wafer defects. Wafer map analysis is necessary for the quality control and analysis of the semiconductor manufacturing process. There are some failure patterns that can be displayed by wafer maps. These patterns can provide essential details that can assist engineers in determining the reason of wafer failures. In this research, a deep-learning-based silicon wafer defect identification and classification model is proposed. The main objective of this research is to identify and classify the silicon wafer defects using the wafer map images. This proposed model identifies and classifies the defects based on the wafer map images from the WM-811K dataset. The proposed model is composed of a pretrained deep transfer learning model called ShuffleNet-v2 with convolutional neural network (CNN) architecture. This ShuffleNet-v2-CNN performs the defects identification and classification process following the workflow of data preprocessing, data augmentation, feature extraction, and classification. For performance evaluation, the proposed ShuffleNet-v2-CNN is evaluated with performance metrics like accuracy, recall, precision, and f1-score. The proposed model has obtained an overall accuracy of 96.93%, 95.40% precision, 96.26% recall, and 95.75% F1-score in classifying the silicon wafer defects based on the wafer map images. 2022 Rajesh Doss et al. -
IPR in Stem Cell Research, Therapy, and Regenerative Medicine
According to the World Trade Organization, intellectual property rights are rights given to persons over the creations of their minds. They usually give the creator an exclusive right over the use of his or her creation for a certain period. There is a critical need for fresh developments in the existing medical diagnostic techniques, therapy, pharmaceutical medications, and research, in a world where such a sizable number of people are afflicted with various ailments, some of which are fatal and still incurable. Pharmaceutical companies are developing novel and cutting-edge ways to treat diseases at an increasing rate. The major pharmaceutical corporations in the world, including Pfizer, Miltenyi, Biotec, AstraZeneca, and Mesoblast Limited are pursuing research in the area of stem cell and regenerative medicine. Regenerative medicine, stem cell research, and therapy are currently regarded as groundbreaking developments in the medical sciences. Understanding their intellectual property rights and the legal means through which these businesses can safeguard their discoveries becomes crucial. This paper will analyze the meaning of stem cell and regenerative medicines, the eligibility of IPR in Stem cell research under the Indian Patents Act, of 1970 and the morality and public issues related to the same. 2024 Taylor & Francis. -
Tracking Greenfield FDI During the COVID-19 Pandemic: Analysis by Sectors
We study the trends and fluctuations in greenfield foreign direct investment (GFDI) during the first wave of the COVID-19 pandemic crisis on a global scale. We analyse the data of a data set of GFDI provided by fDi Markets (Financial Times) to understand the contraction of GFDI during the first three quarters of the year 2020, taking into account the sector of the investment and the host and home country. We analyse both the long-run trends and the quarter-over-quarter changes in GFDI to capture its fluctuations before and during the first wave of the COVID-19 crisis and the 2008 global financial crisis. Our findings cast light on which countries and industries GFDIs were most affected by the pandemic crisis and draw a comparison to the global financial crisis. To our surprise, many services industries have shown unexpected resilience of GFDI due to the flexibility for remote work. On the contrary, GFDI in the manufacturing industries, as well as the extractives and the utility industries, has shown a dramatic decline during the pandemic. These contractions raise questions of stability and resilience of the global supply chains these industries are a part of. JEL Codes: F21. 2021 Indian Institute of Foreign Trade. -
Sacred texting : A study on social media language trends in New Delhi And Bengaluru churches /
Amity Journal of Media & Communication Studies, Vol.8 Isue 1, pp.24-35, ISSN No: 2231-1033. -
Increasing involvement of artificial intelligence in healthcare with special reference to strokes /
International Journal of Emerging Technologies And Innovative Research, Vol.5, Issue 6, pp.746-751, ISSN No. 2349-5162. -
Crude oil prediction using a hybrid radial basis function network /
Journal of Theoretical and Applied Information Technology, Vol.72, Issue 2, pp.88-96, ISSN No: 1992-8645, 1817-3195.