Prema Nedungadi

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Verified

Prema verified their affiliation via an institutional email.

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• Ph.D.
• Director AmritaCREATE and Associate Dean -School of Computing at Amrita Vishwa Vidyapeetham

Rural India lacks easy access to health practitioners and medical centers, depending instead on community health workers. In these areas, common ailments that are easy to manage with medicines, often lead to medical escalations and even fatalities due to lack of awareness and delayed diagnosis. The introduction of wearable health devices has made i...

Ayurveda is India's prominent traditional medical system. The World Health Organization has stated the need for more evidence and data from conventional medicine methods to inform policymakers, regulatory bodies, healthcare stakeholders, and the public about its safe, effective, and equitable use. This study aims to provide a comprehensive analysis...

This longitudinal study evaluates the Holistic Education and Digital Learning (HEDL) model within rural Indian contexts, contributing to United Nations Sustainable Development Goal 4 (SDG4). The holistic education includes activities such as yoga, environmental activities, cultural programs, cleanliness drives and substance abuse ambassador program...

This study explores the gender dynamics within Generative AI (GAI) research through an analysis of 5092 publications post the inception of ChatGPT in November 2022. The investigation seeks to comprehend how gender distribution varies across different research areas and geographical locations in GAI, assess thematic differences in contributions by m...

Contribution: This study proffers a practical flexible framework for teachers and researchers embodying diverse computing pedagogies, to impart computing education (CE) to autistic students. The framework is based on the tenets of inclusion and personalised learning manipulating explicit CE pedagogies. Background: Research and anecdotal evidence...

This study explores the intersection of sustainable and green tourism with 17 United Nations sustainable development goals (SDGs), identifying key themes and emerging interdisciplinary configurations. Using the PRISMA framework, we analyzed publications covering the years 2015–2023. A machine learning-based BERTopic model was employed to extract me...

Research background: The realization of United Nations Sustainable Development Goals (SDGs) 8 hinges on the sustained growth of both the economy and the global employment outlook. In order to ensure progress in fostering inclusive and equitable growth and employment opportunities, it is essential to undertake a comprehensive analysis of the SDG fin...

This paper introduces a Multi-Aspect Visualization Framework, a language-agnostic interactive platform designed to enhance programming education by addressing the unique challenges and opportunities inherent in the field. Unlike traditional science laboratories, which rely on hardware-based experiments, this platform uses a versatile visualization...

This study examines the imperative to align artificial general intelligence (AGI) development with societal, technological, ethical, and brain-inspired pathways to ensure its responsible integration into human systems. Using the PRISMA framework and BERTopic modeling, it identifies five key pathways shaping AGI’s trajectory: (1) societal integratio...

Iron deficiency anemia is a widespread public health issue affecting millions of people. To prevent this condition, the formulation of food with a synergistic approach has a crucial role in micronutrient absorption as it maximizes nutrient bioavailability. In this study, the effect of different food processing methods on different forms of beetroot...

Ayurveda, an ancient holistic medicinal system, has sustained its relevance over millennia and continues to be practised extensively in India. However, challenges persist in clinical expertise among Ayurvedic practitioners, often due to limited clinical exposure during their academic journey. The Ayurveda Clinical E-Learning Portal (AyurCeL) aims t...

3D human pose estimation is integral to applications, including activity recognition, animation generation, and performance analysis. Deep learning techniques have greatly advanced the field of 3D human pose estimation, allowing for more precise and accurate results. It is crucial that in spite of these advancements, there are still limitations on...

This study employs a mixed-methods approach to investigate the role of sustainable and green finance in advancing UN sustainable development goals (SDGs). We use quantitative bibliometric methods with machine learning-based BERTopic modeling and case study analysis to reveal trends. This study presents a cocitation analysis of the SDGs to visualize...

This study examines the role of Artificial Intelligence (AI) in enhancing personalization, analyzing information dynamics, and developing scalable methodologies within Online Social Networks and Media (OSNEM), with a focus on user protection. Through a systematic review using the PRISMA framework and BERTopic modeling, key AI applications in OSNEM...

Sign language recognition (SLR) involves translating visual gestures into meaningful text or speech, bridging the communication gap between signers and non-signers. However, real-time recognition remains a critical challenge due to variability in signing speed, subtle hand gestures, and the computational complexity of processing video data in real...

Background Natural solutions are increasingly sought for their potential to harness locally available food resources (LAFRs) and nontimber forest products (NTFPs) to reduce cancer risk among the Mizo tribal communities in Aizawl, Mizoram, India. Given that the prevalence of cancer is greater than that in neighboring states, understanding the dietar...

This study explored the transformative potential of generative artificial intelligence (GAI) for achieving the UN Sustainable Development Goal on Quality Education (SDG4), emphasizing its interconnectedness with the other SDGs. A proprietary algorithm and cocitation network analysis were used to identify and analyze the network of SDG features in G...

The integration of artificial intelligence (AI) into renewable energy and sustainability represents a transformative approach toward achieving sustainable development goals (SDGs), especially SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 13 (Climate Action). This study utilized the PRISMA framework t...

This study conducts a comparative analysis of two prominent generative artificial intelligence (GAI) tools, ChatGPT and Bard, specifically in the context of supply chain management. Using a dataset of 150 certified supply chain professional questions, the models are evaluated on the basis of accuracy, relevance, and clarity, and t tests are employe...

Introduction As ecological disasters loom, forests play a crucial role in mitigating climate change and aligning with the United Nations Sustainable Development Goals (SDGs). This study aims to systematically examine the contribution of forestry science research to the SDGs through a multidisciplinary perspective, highlighting its role in advancing...

Service small and medium enterprises (SMEs) are typically SMEs that operate in the service industry. In emerging economies, service SMEs can benefit from integrating technology and marketing activities to compete globally and drive growth. Further, service SMEs can compete with larger businesses with technology-driven marketing. Technology can diff...

Over the past decade, sustainable aviation fuels (SAF) research has surged due to aviation's 2-3 % global emissions, driving urgent development to meet climate goals. This study employed a mixed-method approach, combining a literature review following the PRISMA framework with a case study analysis. This study is the first to systematically review...

This study investigates the alignment of research on small island developing states (SIDSs) with sustainable development goals (SDGs), identifying key focus areas, interdisciplinary connections, research gaps, thematic clusters, and insights from case studies. By employing a mixed methods research design that combines quantitative scientometric ana...

This study systematically evaluates biomimicry research within the context of sustainable development goals (SDGs) to discern the interdisciplinary interplay between biomimicry and SDGs. The alignment of biomimicry with key SDGs showcases its interdisciplinary nature and potential to offer solutions across the health, sustainability, and energy sec...

The relationships of SDG 12 (responsible consumption and production) with other sustainable development goals (SDGs), both direct and indirect, necessitate a systematic analysis to understand its pivotal role in achieving other SDGs. This work focuses on a threefold investigation through a scientometric framework. Initially, the study sought to map...

This study aims to address the growing cyber threats and the spread of digital misinformation, particularly intensified by digital transformation during the COVID-19 pandemic. It seeks to explore the evolving role of digital forensics (DF) in ensuring cybersecurity and misinformation control, with implications for societal stability and progress. B...

This study explores the adoption and societal implications of an emerging technology such as Chat Generative Pre-Trained Transformer (ChatGPT) in higher education students. By utilizing a mixed-method framework, this research combines Rogers’ diffusion of innovation theory with sentiment analysis, offering an innovative methodological approach for...

Recognition of Tamil characters has been a challenging task, and especially handwritten text recognition has been a bigger hassle. The intricacy of the script with its inherent cursive nature and the existence of numerous diacritical marks adds to the complexity of automating its recognition. In this research, we delve into the realm of Optical Cha...

Conventional Deep Learning frameworks for continuous sign language recognition (CSLR) are comprised of a single or multi-modal feature extractor, a sequence-learning module, and a decoder for outputting the glosses. The sequence learning module is a crucial part wherein transformers have demonstrated their efficacy in the sequence-to-sequence tasks...

Spelling errors, a commonplace phenomenon among students dominated by those with learning disabilities, call for effective systems that automatically and accurately identify and classify spelling mistakes. This research focused on developing an automatic spelling error classification tool to identify the Malayalam writing system’s phonological and...

Millet, the highly sustainable crop for farming and combating hunger, has recently regained a resurgence in popularity as people seek more sustainable and nutrient-dense alternatives. International organizations and research institutions have advocated for increased millet production and consumption by introducing novel technologies and machinery i...

Generative AI tools, such as ChatGPT, are progressively transforming numerous sectors, demonstrating a capacity to impact human life dramatically. This research seeks to evaluate the UN Sustainable Development Goals (SDGs) literacy of ChatGPT, which is crucial for diverse stakeholders involved in SDG-related policies. Experimental outcomes from two...

This investigation delves into Green AI and Sustainable AI literature through a dual-analytical approach, combining thematic analysis with BERTopic modeling to reveal both broad thematic clusters and nuanced emerging topics. It identifies three major thematic clusters: (1) Responsible AI for Sustainable Development, focusing on integrating sustaina...

Purpose Nowadays, many studies discuss scholarly publishing and associated challenges, but the problem of hijacked journals has been neglected. Hijacked journals are cloned websites that mimic original journals but are managed by cybercriminals. The present study uses a topic modeling approach to analyze published papers in hijacked versions of med...

The announcement of the UN Sustainable Development Goals (SDGs) provided a fresh direction to sustainability research that spans different disciplines. Consequently, scholarly databases made available the mapping of research publications to different SDGs, unleashing many opportunities for analysis. In this work, the top 100 Highly Cited Sustainabi...

In the digital age, where information is a cornerstone for decision-making, social media's not-so-regulated environment has intensified the prevalence of fake news, with significant implications for both individuals and societies. This study employs a bibliometric analysis of a large corpus of 9678 publications spanning 2013-2022 to scrutinize the...

Introduction Autism Spectrum Disorder is a complex neurodevelopmental syndrome that profoundly affects social interactions, communication, and sensory perception. The research traced the evolution of autism research from 2011-2022, specifically focusing on the screening and diagnosis of children and students. Methods Through an analysis of 12,262...

This bibliometric study analyzes 1433 former reviews on Sustainable Development Goals (SDGs) and Sustainability, providing a comprehensive overview of the evolving research landscape in this domain. Notably, we observe a substantial annual growth rate of 74% in publications and a remarkable 171% increase in total citations from 2016 to 2022, reflec...

Technology-enhanced learning (TEL) has been employed in healthcare systems to deliver case-based practical knowledge and prognostic assessments for healthcare professionals. Each medical specialty requires a unique set of skills, knowledge, and experience to ensure optimal patient care, necessitating the identification and assignment of the best me...

The rise of the metaverse—a convergence of virtually enhanced physical reality and persistent virtual spaces—presents transformative potential for the healthcare sector. This study systematically explores how metaverse technologies, such as virtual reality (VR), augmented reality (AR), mixed reality (MR), and digital twins, contribute to achieving...

This study makes significant contributions to the field by examining the transformative role of big data and artificial intelligence (AI) in advancing Sustainable Development Goals (SDGs), particularly healthcare (SDG3), sustainable energy (SDG7), and industry and infrastructure (SDG9). Using BERTopic modeling, a machine learning technique, this re...

Understanding the alignment and contributions of scientific research to the Sustainable Development Goals (SDGs) is essential for guiding global progress toward these critical targets. In this context, the study focuses on SDG 3 (Good Health and Well-Being), as it dominates the most researched SDG literature, thus providing a meaningful representat...

Growing awareness about environmental responsibility among businesses and policymakers has increased interest in Green Supply Chain Management (GSCM). For the first time, using the SDG mapping algorithms, this article focused on 7009 publications from 2013 to 2022 mapped explicitly to 17 SDGs. This study uses bibliometric and science mapping techni...

The Darkweb, part of the deep web, can be accessed only through specialized computer software and used for illegal activities such as cybercrime, drug trafficking, and exploitation. Technological advancements like Tor, bitcoin, and cryptocurrencies allow criminals to carry out these activities anonymously, leading to increased use of the Darkweb. A...

In the four months following its launch in December 2022, ChatGPT, the LLM bot employing deep learning algorithms to generate human-like responses, has been the subject of numerous research articles. Identifying early attention to this research is highly intriguing. As citations for these publications may take time to accumulate, our study focused...

Despite significant business-related research publications, extant studies are yet to show how well business research directly maps to 17 Sustainable Development Goals (SDGs). Our study uses a qual-quant approach combining the PRISMA framework, performance analysis, and content analysis to find answers to this research gap. Using the Australia Busi...

The drive to achieve the Sustainable Development Goals (SDGs) becomes more urgent as the 2030 deadline draws near, increasing research in various sectors. Nevertheless, studies that systematically map Analytical Hierarchy Process (AHP) publications with the SDGs need to be more conspicuously lacking. Our study adds a new perspective to the field by...

Non-financial reporting (NFR) has become crucial to corporate sustainability strategies as companies demonstrate their commitment to the environmental, social, and governance actions outlined in the United Nations Sustainable Development Goals (SDGs) Agenda 2030. Among the various mandatory NFR initiatives, Sustainability Reporting (SR) has emerged...

A BSTRACT Background Among the different social groups in India, the tribes are the most vulnerable and socioeconomically deprived. The tribal population is distinct from the general population in terms of their unique cultural, traditional, and reproductive health practices. Therefore, the aim of the study was to conduct an exploratory analysis o...

Most children across the world learn to read and write in non-alphabetic orthographies such as abjads (e.g., Arabic), abugidas (e.g., Ethiopic Ge’ez), and morphosyllabaries (e.g., Chinese). However, most theories of reading, reading development, and dyslexia derive from a relatively narrow empirical base of research in English—an outlier alphabetic...

With the growth of data and intelligent technologies, the healthcare sector opened numerous technology that enabled services for patients, clinicians, and researchers. One major hurdle in achieving state-of-the-art results in health informatics is domain-specific terminologies and their semantic complexities. A knowledge graph crafted from medical...

In the three months following its launch in November 2022, ChatGPT, the LLM bot employing deep learning algorithms to generate human-like responses, has been the subject of numerous research articles (n=385). Identifying early attention to this research is highly intriguing. As citations for these publications may take time to accumulate, our study...

This study explores the adoption and societal implications of an emerging technology such as ChatGPT in higher education students. By utilizing a mixed-method framework, this research combines Rogers' diffusion of innovation theory with sentiment analysis, offering an innovative methodological approach for examining technology adoption in higher ed...

Interpretive structural modeling (ISM) is widely used to understand the complex connections between different components. This study presents a bibliometric overview of ISM research, with a focus on its linkages to the Sustainable Development Goals (SDGs) and the impact of COVID-19. The study analyzed 1988 publications on ISM published between 2012...

Interpretive Structural Modelling (ISM) is widely used to understand the complex connections between different components. This study presents a bibliometric overview of ISM research with a focus on its linkages to the Sustainable Development Goals (SDG) and the impact of COVID-19. The study analyzed 1988 publications on ISM published between 2012...

Simulation-Based Medical Education that uses Virtual Patients has become increasingly important during the COVID-19 pandemic. With the need for social distancing and minimizing contact, medical simulation technology has provided a valuable tool for healthcare professionals to practice and improve their skills without the need for face-to-face inter...

This study explores an adolescent ambassador program that promotes substance abuse awareness in rural villages, and studies its effects on self-esteem, peer influence, and family communication. This school-based intervention was part of a larger program that mentored adolescent youth as change agents to promote health and social awareness in rural...

Purpose Flattering emails are crucial in tempting authors to submit papers to predatory journals. Although there is ample literature regarding the questionable practices of predatory journals, the nature and detection of spam emails need more attention. Current research provides insight into fallacious calls for papers from potential predatory jour...

In response to the global challenge of climate change, 136 countries accounting for 90% of global GDP and 85% of the population have now set net-zero targets. A transition to net-zero will require the decarbonization of all sectors of the economy. Green-hydrogen produced from renewable energy sources poses little to no threat to the environment and...

The triple word form (TWF) theory provides a formal framework for understanding the cognitive processes involved in reading and spelling. On the basis of this theory, spelling errors can be classified into different types, and by understanding the relationships between these error types, one can draw inferences about the difficulties students face...

Background: Micronutrient deficiency has long been recognized as a public health problem, particularly among vulnerable groups such as children, adolescents, pregnant and lactating women. Micronutrient deficiency could not be ruled out in spite of the implementation of various intervention strategies. Different interventions are being used to preve...

Women entrepreneurship has attracted the attention of academics and practitioners with a large body of research studies in recent years. Past literature reviews on women entrepreneurship have been criticized for their limited scope, lack of interdisciplinary perspective, and the need for more objective, technology-facilitated analytical methods. Ou...

The ability to estimate the probability of a drug to receive approval in clinical trials provides natural advantages to optimizing pharmaceutical research workflows. Success rates of clinical trials have deep implications to costs, duration of development, and under pressure due to stringent regulatory approval processes. We propose a machine learn...

The ability to estimate the probability of a drug to receive approval in clinical trials provides natural advantages to optimizing pharmaceutical research workflows. Success rates of clinical trials have deep implications to costs, duration of development, and under pressure due to stringent regulatory approval processes. We propose a machine learn...