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Examining the Partnerships between AI and Business Technologies in the Contemporary Environment
In the last 20 years, businesses and individuals have undergone significant changes. Firstly, people's lives have changed due to the availability of intelligent artificial intelligence (AI) devices, and businesses have begun to use these devices to generate revenue. Secondly, as technology advances, businesses are adopting new technologies and growing more reliant on them in order to increase revenue and better understand their clientele. In the current era of business, companies are dealing with significant environmental changes, such as technology advancements, public regulations, competitive advantages, and structural changes in the competitive market. Their business strategies are converted as a result of the aforementioned ecosystem changes, and they go on to overcome these environmental changes. The primary goal of the work is to more accurately analyze different AI-enabled business models for data analytics. In the era of artificial intelligence, it also discusses secure commercial transactions and platform learning business strategies. Its goal is to investigate the different business models that are in use in the market today and to give readers a better knowledge of these models by shedding light on their characteristics. 2024 IEEE. -
Utilizing Machine Learning for Advanced Natural Language Processing and Sentiment Analysis in Social Media Platforms
Social media is increasingly regarded as one of the most abundant online resources for information gathering and knowledge exchange. Among the most widely used social media sites is Twitter available today. When attempting to comprehend the information in any unknown word-based data (such as social media), natural language processing (NLP) techniques are crucial since they help remove noise from data, identify stem words, etc. It also helps with comprehension of the sentiment or semantic contents. Using social media, we apply machine learning techniques (clustering and classification) to determine the viewpoint's polarity in the information. Several classifiers and clusters, including SVM, RF, Naive Byes, and KNN, are used to detect content on social media. Sentiment analysis is the process of automatically classifying user-generated content as neutral, negative, or positive. It is possible to utilize the text, sentence, feature, or aspect as criteria to group feelings into distinct categories. This study demonstrates the application of machine learning techniques to the analysis of emotions expressed on the Twitter network. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Development of Enhance-Net Deep Learning Approach for Performance Boosting on Medical Images
Only a few clinical procedures include the use of clinical methods for the early detection, observing, evaluation, and treatment evaluation of a range of medical illnesses. Knowing the analysis of medical images in computer vision necessitates being acquainted with the core concepts and uses of deep learning and artificial neural networks. The A rapidly expanding area of study is the Deep Learning Approach (DLA) in medical image processing. DLA is often used in medical imaging to determine if an ailment is present or not. By producing speedier, more accurate results in real time, deep learning algorithms may make the jobs of radiologists and orthopaedic surgeons easier. But the standard deep learning approach has reached its efficiencies. While offering an ideal solution known as boost-Net, we study numerous optimization strategies to increase the effectiveness of deep neural networks in this research. From a selection of well-known deep learning models, Champion-Net was selected as the deep learning model. The musculoskeletal radiograph-bone classification (MURA-BC) dataset is used in this investigation. Utilizing the train and test datasets, Enhance-Net's classification precision was evaluated. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
A probabilistic inference algorithm for early detection of age related macular degeneration
Age Related Macular Degeneration or ARMD is a retinal disorder that causes blindness over people of older age group. ARMD is associated with age and is a leading cause of blindness around the world. There is no specific medicine to fully cure ARMD but its development can be controlled by regular exercises and a healthy lifestyle if it is detected early. With a rising population of old age group of people, it becomes important to detect ARMD as early as possible in order to contain its development further. This research attempts to develop an algorithm based on probabilistic inference through Bayesian Network by analyzing large datasets collected from previous cases where datasets include elements of risk factors that could cause ARMD along with eye images. Unlike most of the approaches in detecting ARMD this work not only analyses eye images but also includes analysis of various factors causing the disorder. To include the study and analysis of the presence of factors causing ARMD is sensible because those factors are good indicators when the need is an early detection. 2020, Engg Journals Publications. All rights reserved. -
India-Maldives Development Partnership: Promises and Possibilities
Indias approach towards Development Partnership with the external world has been inclusive, humanistic, unconditional, comprehensive and futuristic. India-Maldives Development Partnership has to be seen in the context of India-Maldives relations that have been described as close, cordial and multi-dimensional. The Maldives undoubtedly occupies a very special place in Indias Neighborhood First policy. Indias development partnership with the Maldives goes with the `SAGAR (Security and Growth for All in the Region) vision of the Government of India. The partnership is characterised by transparency and as per the needs and priorities of the Maldivians. It touches every facet of the development of the Maldives to enhance stability and prosperity of the atoll state. Involving about US$ 3 billion in terms of grants, loans, budgetary support, capacity building and training assistance, the development partnership support is intended to reach the beneficiaries directly via the local councils. However, there are various challenges in the process of implementation of the projects under the development partnership. Yet, the future of the partnership looks promising. The main objective of the paper is to answer the following questions: What is the context of development partnership between India and Maldives? In what manner India has extended development assistance to its neighbour? Are there any challenges in the process of rendering such assistance? What is the way forward? 2024 Indian Council of World Affairs. -
Lilliputians' dilemma: Survival strategies of small states in South Asia
One of the most striking features of contemporary international politics is asymmetrical power relations among states. With the birth of the United Nations, the sovereign equality of the states began to be fully respected, at least in principle. During the Cold War, small states gained much importance when superpowers tried to co-opt them. Small states situated in specific geo-strategic areas were seen as 'assets' or 'trouble spots' depending on their ideological leaning. 1 Given the fact that small states constitute majority in terms of numbers in global politics, but at the same time facing numerous politico-security and economic issues, several interesting questions arise. Do small states feel secured in regional and international politics dominated by big and middle powers? What survival strategies do they adopt to secure themselves? How does this translate to South Asian region that is commonly viewed as 'India-dominant'? Do small states of South Asia follow similar or differing strategies to safeguard their security? South Asia offers a right case to look at the issue of survival strategies of small states in regional politics from both theoretical and empirical contexts. 2024 selection and editorial matter, Adluri Subramanyam Raju and R. Srinivasan. All rights reserved. -
Punching above the weight? Role of Sri Lanka in BIMSTEC
[No abstract available] -
Terrorism And Regional Cooperation: What is SAARC up to?
South Asia has the distinction of being one of the most affected regions by terrorism and political violence. It is also one of the least integrated regions in the world. Terrorist threats have been diverse, characterised by religious fundamentalism, separatism, left-wing extremism and transnationalism. Interestingly, the countries of the region, under the umbrella of the South Asian Association for Regional Cooperation (SAARC), possess various regional arrangements to counter terrorism. Yet, the problem of terrorism continues unabated in the region. The principal question is, despite the existence of numerous arrangements, what factors hinder counter-terrorism cooperation among the countries at the regional level?. 2022 selection and editorial matter, Adluri Subramanyam Raju. -
Connectivity between India and Sri Lanka: A model for South Asia
India-Sri Lanka bilateral ties pervade in almost all areas despite various ups and downs. In the age of globalization, connectivity is crucial in maintaining and enhancing relations. Realizing this, India and Sri Lanka have invested in connectivity in four broad areas: physical, cultural, information and communication technology (ICT), and economic. Physical connectivity presently exists through air and sea; given the proximity, land connectivity would benefit the common man on both sides. Cultural connections go back centuries and have received an institutional framework of late. ICT linkage is emerging but highly promising in terms of public-private involvement. With components of trade and investments, economic connectivity faces tough competition from extra-regional powers like China. On the way forward, challenges abound and require patience and maturity in policy making and its implementation in both countries. 2020 Elsevier Inc. All rights reserved. -
Individual and Community Interests: A Critical Analysis with the Help of Gandhian Philosophy
The chapter tends to contribute more towards the debate on individual and community interests. It broadly explains both the concepts by analysing their interdependence and importance and gives readers a competitive critical analysis of the stance taken by different western philosophers and Gandhi on it. The chapter comes out in five major heads and commences by explaining the intricacies of the debate between the two in its first segment. The second part of the chapter puts forward the western framework of ideas and brings into picture various philosophers of the west and their ideologies on the subject. The third section sketches out an analysis of individual and community interests from Gandhian lens and throws light on various ideas promulgated by him such as satyagrah, Swaraj (self-governance), Sarvodaya (rise of all), Ekadash Vrat (eleven principles). The fourth head talks about the role of these ideas in addressing the conflict between the two interests that exist in society. It concludes by drawing out how Gandhian ideology acts as a guiding light to bridge the gap between the two contrasting ideas of individual and community interests. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. -
Fishing in the Troubled Waters: Fishermen Issue in IndiaSri Lanka Relations
Indias relations with its neighbours in the maritime domain have received less scholarly attention. Those studies that deal with Indias relations with its South Asian neighbours generally touch on political security, socio-cultural and economic issues. The maritime aspect is either ignored or tucked in as a part of other dimensions. The present study attempts to fill the gap in the literature by taking up the case of Sri Lanka. Sri Lanka is chosen as a case, not only because the island state is Indias closest maritime neighbour but also due to the existence of deep interactions between the two countries in diverse fields both at governmental and non-governmental levels. In the maritime domain, in the present context, technically speaking, there is no problem between the two countries. However, the fishermen issue remains one of the issues principally because of the Tamil Nadu factor. Analysing the issue in five phases, the study argues for a comprehensive approach for its settlement.1. 2018, 2018 Indian Council of World Affairs. -
Secure Through Development: Evaluation of Indias Border Area Development Programme
The Border Area Development Programme was initiated in the year 198687, to strengthen Indias security by ensuring developed and secure borders. Initially, the programme was implemented in the western border states to facilitate deployment of the Border Security Force. Later, the geographical and functional scope of the programme was widened to include eastern and northern sectors of Indias borders and as well as socio-economic aspects such as education, health, agriculture and other allied sectors. But, it is difficult to say that the implementation has been uniform in all the sectors. While the programme on the Western front along the IndiaPakistan border has been fairly successful, it is yet to achieve its stated objectives on the Eastern front. Using an analytical framework, the article examines three aspects of BADP: Its context and concept; identifying challenges that hinder the Programmes effectiveness; and certain policy prescriptions. 2019, 2019 Institute for Defence Studies and Analyses. -
Agricultural credit and agricultural productivity across Indian states: An analysis
The study analyses the relationship between formal agricultural credit and agricultural productivity in India. Secondary data have been collected from various sources for the selected states of Andhra Pradesh, Assam, Bihar, Gujarat, Haryana, Himachal Pradesh, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Punjab, Rajasthan, Odisha, Tamil Nadu, Uttar Pradesh and West Bengal for the time period 19901991 to 20172018. Fixed effect model is used to perform the state-level panel data analysis to establish the relationship between the agricultural credit and agricultural productivity. In addition to this, the study also focuses on analysing the effectiveness of Doubling of agricultural credit policy. The findings from the analysis show that direct agricultural credit and doubling of agricultural credit policy has a positive impact on productivity, whereas the indirect credit has a significant negative impact on productivity. In order to increase agricultural productivity, policies should focus on providing direct credit at a larger scale. 2021 John Wiley & Sons, Ltd. -
Determinants of Charitable Giving of Employees in the Organized Sector: A Case Study in Bengaluru Urban District.
The study aims at identifying the determinants of charitable giving among working professionals who are into white collar jobs in the organized sector in Bengaluru urban district. The study also tries to understand the effect of Income and Non-Income factors that could affect decisions made by individuals towards charitable donations. The study captures charity donations in terms of money, time and gifts, based on its objectives; the focus is on monetary donations. Thus, based on the various available models based on demographic variables and attitudinal factors, the study has developed a comprehensive function that that includes both demographic and attitude related factors that could predict the charity behavior of an individual and in this case it is the working professional. The population includes all the white collar jobs and the sample size was 132 respondents. This includes both charity givers and non-givers. The sampling technique used was purposive random sampling and data was collected through questionnaire method and the questionnaire begins with an introductory question seeking if the respondent have made any donations in the last 12 months and based on their answer they are directed towards the three sections such as section A, B and C for those who said yes to the question and B and c for those who said no to the question. Section A is about the charity activities of the respondents, B is about the demographic details and C measures altruism, prestige, care and other attitude related factors using a 5 point Liker scale. Factor analysis was made used for the purpose of model testing. However, prior to the model testing, bi-variate and multi-variate exploratory analysis was done using cross tabulation in SPSS and python to understand the association between variables used in the study. To further clarify and conclude the relationship and strength of association between variables, Pearson???s Chi square was conducted. Based on these results most of the demographic variables seem to have positive relationship with charitable giving and few had partially negative relation with the incidence of giving. For example Gender, where being male have less chance of making charitable donations. Religion has no impact on the likelihood of making donations. viii Certain other variables such as age, education level and income have a positive relationship with charity giving. In other words as age, income, level of education are higher, the chances of making monetary donations increases. From the results of exploratory bi -variate analysis, certain variables were removed and were not part of factor analysis towards testing the model. The results of factor analysis shows that charitable giving (monetary) is the function of three factors namely benevolence, socioeconomic status and warm glow giving and thus it proves the model developed by the study. Thus the major determinants or predictors of charitable giving (monetary) are benevolent behaviour, socioeconomic status and warm glow giving. -
Investigation of nanocrystalline structure in selected carbonaceous materials /
International Journal of Minerals, Metallurgy and Materials, Vol.21, Issue 9, pp.322-328, ISSN No: 1674-4799. -
Chemical Demineralization of High Volatile Indian Bituminous Coal by Carboxylic Acid and Characterization of the Products by SEM/EDS
Journal of Environmental Research and Development, Vol-6 (3A), pp. 653-659. ISSN-0973-6921 -
Synthesis of porous graphene sheets from agricultural waste by chemical methods
A facile technique to synthesise wrinkled graphene like nano carbon (GNC) agricultural waste like wood and coconut charcoal is reported in the current study. The charcoal is produced by thermal decomposition of wood and coconut shell and is intercalated by Hummer's method. It is separated by centrifugation and sonication to get few layer graphene sheets. The structural and chemical changes of the nanostructure are elucidated by Raman spectroscopy, TEM, SEMEDS and XPS. Raman spectra revealed the existence of highly graphitized amorphous carbon, which is confirmed by the appearance of five peaks in the deconvoluted first order Raman spectra. The SEM analysis reveals the formation of large area graphene sheets with nanoporous structure in it. The TEM/SAED analysis exhibits the presence of short range few layers graphene. 2018 World Research Association. All rights reserved. -
A comprehensive analysis of various structural parameters of Indian coals with the aid of advanced analytical tools
An exhaustive structural analysis was carried out on three Indian coals (ranging from sub-bituminous to high volatile bituminous coal) using a range of advanced characterization tools. Detailed investigations were carried out using UVVisible spectroscopy, X-ray diffraction, scanning electron microscopy coupled energy dispersive spectroscopy, Raman spectroscopy and Fourier transform infrared spectroscopy. The X-ray and Raman peaks were deconvoluted and analyzed in details. Coal crystallites possess turbostratic structure, whose crystallite diameter and height increase with rank. The H/C ratio plotted against aromaticity exhibited a decreasing trend, confirming the graphitization of coal upon leaching. It is also found that, with the increase of coal rank, the dependency of I20/I26 on La is saturated, due to the increase in average size of sp2 nanoclusters. In Raman spectra, the observed G peak (1585cm?1) and the D2 band arises from graphitic lattices. In IR spectrum, two distinct peaks at 2850 and 2920cm?1 are attributed to the symmetric and asymmetric CH2 stretching vibrations. The intense peak at ~1620cm?1, is either attributed to the aromatic ring stretching of C=C nucleus. 2016, The Author(s). -
Synthesis and characterization of porous, mixed phase, wrinkled, few layer graphene like nanocarbon from charcoal
A technique to synthesis wrinkled graphene like nano carbon (GNC) from charcoal is reported in the current study. The charcoal produced by thermal decomposition and is intercalated by Hummers method. It is separated by centrifugation and sonication to get few layer graphene sheets. The structural and chemical changes of the nanostructure is elucidated by Raman spectroscopy, TEM, SEM-EDS and XPS. Raman spectra revealed the existence of highly graphitized amorphous carbon, which is confirmed by the appearance of five peaks in the deconvoluted first order Raman spectra. The SEM analysis reveals the formation of large area graphene sheets with nano-porous structure in it. The TEM/SAED analysis exhibits the presence of short range few layer graphene. 2015 Pleiades Publishing, Ltd. -
Investigation of nanocrystalline structure in selected carbonaceous materials
The structural parameters of nine Indian coals were determined by X-ray diffraction (XRD) and Raman spectroscopy. The study revealed that the coals contain crystalline carbon of turbostratic structure with amorphous carbon. The stacking height (Lc) and interlayer spacing (d002) of the crystallite structure of the coals ranged from 1.986 to 2.373 nm and from 0.334 to 0.340 nm, respectively. The degree of graphitization was calculated to range from 42% to 99%, thereby confirming the ordering of the carbon layers with the increase in coal rank. An exponential correlation was observed among the aromaticity (fa), the lateral size (Lc), and the rank (I20/I26), suggesting that the coal crystallites are nanocrystalline in nature. A very strong correlation was observed between the structural parameters (fa, d002, Lc, the H/C ratio, and I20/I26), the volatile matter content, and the elemental carbon content, indicating the structures of coals are controlled by the degree of contact metamorphism. The Raman spectra exhibited two prominent bands: the graphitic band (G) and the first-order characteristic defect band (D). The deconvolution resulted in five peaks: G, D1, D2, D3, and D4. The intense D1 band, which appeared at ~1350 cm-1, corresponds to a lattice vibration mode with A1g symmetry. The D2 mode, which appeared at ~1610 cm-1, arises from the structural disorder as a shoulder on the G band. University of Science and Technology Beijing and Springer-Verlag Berlin Heidelberg 2014.