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                <text>Agriculture; AI techniques; Best fit; CNN; Deep learning; KNN; Machine learning; Random forest; SVM</text>
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                <text>By 2050, the population is projected to exceed nine billion, necessitating a 70% increase in agricultural output to meet the need. Land, water, and other resources are running out due to the growing world population, making it impossible to maintain the demandsupply cycle. The yield of cultivation is also declining as a result of people's ignorance of the growing crop illnesses. Given that food is the most basic human requirement, future research should focus on revitalizing the agricultural sector. Farming may be made more productive for farmers by applying the right artificial intelligence technologies and datasets. Agronomics can benefit greatly from artificial intelligence. So that we can farm more effectively and be as productive as possible, we need to adopt a better strategy. The objective of this paper is to experimentally analyze the machine learning algorithms and methods already in use and forecast the most effective approach to use in each agricultural sector. In this article, we will present the challenges farmers face when using traditional farming methods and how artificial intelligence is revolutionizing agriculture by replacing the traditional methods.  2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.</text>
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                <text>Lovesum J., Christ University, Bangalore, India; Prince B., Presidency University, Bangalore, India</text>
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                <text>The objective of this study is to identify the various influential factors of immersive virtual reality (VR) experiences and examine the relationship between the immersion factors (technology, visuals, sound, interaction, and sound) and virtual reality experiential outcomes (satisfaction and loyalty). The survey comprises 412 participants who experienced VR games at the Orion Mall in Bangalore. The study has identified the prominent factors for enhancing the immersive experience. The factors are technology, visuals, sound, interaction, and sound. It also identified that there exists a positive association between VR experiential satisfaction and technology, visuals, sound, interaction, and sound. The results imply that service providers should focus on elevating immersive experience as it is closely associated with VR experiential satisfaction and VR experiential loyalty. This will increase the revisit intention and spread positive word of mouth about the virtual experiences. This paper provided valuable insights that pay way to analyze the association between immersion factors and VR experiential outcomes.   2024 IEEE.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Rina Daline T., CHRIST (Deemed to Be University), Bangalore, India; Thomas J., CHRIST (Deemed to Be University), Bangalore, India</text>
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                <text>A study on factors impeding online buying of household items in Bangalore city</text>
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                <text>Demographic factors; Non online buying; Online buying; Psychographics factors; Security factors; Technological factors</text>
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                <text>The tremendous growth of the Internet in India has fuelled the growth of e-commerce in the country. The retail business has been affected like all other businesses. This research paper attempted to study the factors responsible for impeding the online buying of household items by customers. The study was limited to Bangalore city only. The study was conducted during June 2013 and December 2014. The data was collected through questionnaires which were distributed among 500 respondents. Among these, 25 questionnaires were partially filled, and were not included as final responses; 280 completely filled questionnaires were utilized for this study. The non online respondents' profile and descriptive statistics were analyzed. Factor analysis was carried out to find the important factors involved in the non online buying decisions of customers. Some recommendations have been made on the strategies which online retailers can adopt to convert non - online buyers to online buyers of household items by addressing some of their concerns.  2016.</text>
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                <text>Padmanabh B.; Jeevananda S.; Jose K.G.</text>
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                <text>Indian Journal of Marketing, Vol-46, No. 4, pp. 7-23.</text>
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                <text>Associated Management Consultants Pvt. Ltd.</text>
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                <text>Padmanabh B., Institute of Management, Christ University, Bangalore, India; Jeevananda S., Institute of Management, Christ University, Bangalore, India; Jose K.G., Rajagiri Business School, Rajagiri Valley, P.O Kakkanad, Kochi, 682039, India</text>
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                <text>A Study on Factors Impeding Online Buying of Households in Bangalore City</text>
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                <text>The main focus of this research is in the area of organised retail specifically in the convenience stores format in India.

The Indian organised retail is growing rapidly but is still in the nascent stage. There are many challenges in terms of infrastructure, supply chain efficiencies, cost structure and customer adaptability to the emerging retail formats.



India is perceived to be a lucrative destination for retail and with opening up of foreign direct investment imminent many multinational giants are eyeing India.



Indian companies are grappling with many challenges and experimenting with many formats in retail. This study attempts to understand the present scenario and the preparedness of domestic companies in consolidating their existing position to evolve a business frame work model for domestic companies to not only consolidate their existing position but also counter threats from multinationals entering into India.



The research revealed that there are not many integrated business models, though there are  models  on  different  components  of  supply  chain  and  retail,  Indian  companies  will certainly benefit from creation of integrated business model which can assist them in taking strategic decisions in terms of managing cost and revenue structure and expansion plans.



Scope of this study is Grocery and staples and fruits and vegetables business as food contributes to almost 63% in the organised retail business and was bifurcated into back end and front end operations.



This study is intended to understand the drivers and factors influencing the back end operations in the area of supply chain efficiencies and the front end operations particularly in respect of costs, revenues and key drivers to create an integrated business model frame work to drive optimisations at all levels. Sample of this study was two major organised retail companies in Bangalore catering to about seventy outlets in Bangalore and having distribution centres.



Tools used in this study was data observation sheets for all the key parameters for both back end and front end operations, in addition to unstructured in depth interview with expert group. However the protocol for the interview was predetermined to capture all key data and elements and involved some qualitative aspect and Linear programming for simulation and trying out various permutation combinations.



Some of the major findings were:



 Stock keeping units, cost of procurement and secondary freight emerged as significant drivers to be controlled for efficiency and optimisation link in the back end grocery and staples.

 Cost of procurement, net sales value and operations cost emerged as the key drivers of efficiency and optimisation link in the back end Fruits and Vegetables.

 Rentals, Sales, Cost of goods sold, Total personnel cost and Total facilities cost had significant influence on EBIDTA in the front end super market.

 Break even point for same size stores differed depending upon the location and other cost drivers.

 Sensitivity analysis revealed that manpower, rent and total facilities cost had significant impact on EBIDTA in the front end.



Limitations and future areas of research have also been discussed.</text>
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                <text> In this dissertation, we have studied the variations of graph colouring based on distance constraints. For a given set T of non-negative integers including zero and a positive integer k, the L(T,1)-colouring of a graph G = (V,E) is a function c : V(G) and#8594; newline{0,1,2,...,k} such that |c(u)and#8722;c(v)| and#8712;/ T if the distance between u and v is 1 and |c(u)and#8722; newlinec(v)| and#8805; 1 whenever u and v are at distance 2. The L(T,1)-span, and#955;T,1(G) is the smallest positive integer k such that G admits an L(T,1)-Colouring. We have determined the newlineL(T,1)-span for some classes of graphs for set T whose elements are arranged in arithmetic progression. Further, for any general set T , we have found the bound for L(T,1)- span of a few classes of graphs. We use Python programming to colour certain classes of graphs concerning L(T,1)-colouring and fnd the value of L(T,1)-span. Next, we have explored equitable fractional open neighbourhood colouring, which is an extension of a specifc variation of L(h,k)-Colouring for h = 0 and k = 1. For a newlinepositive integer p, equitable fractional open neighbourhood colouring of a graph G is an newlineassignment of positive integers to the vertices of G such that for each vertex v and#8712;V(G), vertices of N(v) receives at least l1p|N(v)|m distinct colours and N(v) can be partitioned into k-classes V1,V2,...Vk such that ||Vi|and#8722; |Vj|| and#8804; 1 for every i and#824;= j and 1 and#8804; k and#8804; n. The minimum number of colours required to colour G such that it admits equitable fractional open neighbourhood colouring for a fxed p is called the equitable fractional open neighbourhood chromatic number, and#967;eq onc newlinep (G). We have studied some properties of equitable fractional open neighbourhood colouring and explored some classes of graphs which admit equitable fractional open neighbourhood colouring with land#8710;(pG)m colours. Further, we have introduced and examined a variation of perfect graphs, and#967;onc-perfect graphs, with respect to equitable fractional open neighbourhood colouring for the special case of p = 1.</text>
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                <text>&lt;a href="http://hdl.handle.net/10603/533986" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/533986&lt;/a&gt;</text>
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                <text>The concept of topology defined on a set can be extended to the field of graph theory by defining the notion of graph topologies on graphs where we consider a collection of subgraphs of a graph G in such a way that this collection satisfies the three conditions stated similarly to that of the three axioms of point-set topology. This paper discusses an introduction and basic concepts to the graph topology. A subgraph of G is said to be open if it is in the graph topology TG. The paper also introduces the concept of the closed graph and the closure of graph topology in graph topological space using the ideas of decomposition-complement and neighborhood-complement.  2023 Azarbaijan Shahid Madani University.</text>
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                <text>Communications in Combinatorics and Optimization, Vol-8, No. 2, pp. 397-409.</text>
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                <text>Aniyan A., Department of Mathematics, CHRIST(Deemed to be University), Bangalore, India; Naduvath S., Department of Mathematics, CHRIST(Deemed to be University), Bangalore, India</text>
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                <text>A Study on Gynecological Cancers Using Artificial Intelligence: A Revolutionary Approach</text>
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                <text>2025 International Conference on Intelligent Control, Computing and Communications, IC3 2025;pp.259-263</text>
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                <text>Upreti K., Christ University, Dept. of Computer Science, Delhi- NCR Campus, Ghaziabad, India; Hunekari S., School of Engineering and Technology, Pimpri Chinchwad University, Maharashtra, India; Upreti S., Maharishi Markandeshwar (Deemed to be University), Department of Management, Mullana, Haryana, Ambala, India; Rai A.K., Ramchandra Chandravansi University, Faculty of Commerce &amp;amp; Management, Jharkhand, India; Alam M.S., Cmj University, Dept. of Computer Science, India; Nasir M.S., Cmj University, Dept. of Computer Science, India</text>
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                <text>An examination of the role of artificial intelligence (AI) in ovarian, cervical, and breast cancer early detection and management is presented in this paper. Artificial intelligence (AI) can improve diagnostic accuracy, streamline treatment protocols, and facilitate personalized medicine approaches by leveraging advancements in machine learning (ML) and deep learning (DL). Various Artificial Intelligence models have demonstrated success in improving the outcomes of cancer diagnostics, including their ability to distinguish benign from malignant tumors. Technology challenges and ethical issues related to the integration of AI into clinical practice are also discussed in the review. Specifically, we want to illustrate how artificial intelligence can lead to better prognoses and reduced mortality rates for cancer patients by enhancing early detection capabilities.  2025 IEEE.</text>
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                <text>analysis; artificial intelligence; detection; Gynecological cancer; prediction</text>
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                <text>A study on heat transfer in three-dimensional nonlinear convective boundary layer flow of nanomaterial considering the aggregation of nanoparticles</text>
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              <elementText elementTextId="114266">
                <text>boundary layer flow; nanoliquid; nanoparticle aggregation; quadratic Boussinesq approximation; quadratic thermal radiation; Richardson extrapolation method</text>
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                <text>Thermal systems of solar collectors, electronic cooling, nuclear reactors, and combustion operate at high thermal conditions, and in such circumstances, the density relation of the working fluids with the thermal field may not be linear. The working fluid features are significantly affected by nonlinear density temperature fluctuations. Therefore, a theoretical study of the quadratic Boussinesq approximation (with quadratic density temperature [QDT] variation) and quadratic Rosseland radiation on the three-dimensional boundary layer dynamics and heat transport of ethylene glycol-based titania nanomaterial is carried out. The phenomenon of the kinematics of nanoparticle aggregation is also analyzed by considering modified models proposed by MaxwellBruggeman and KriegerDougherty for thermal conductivity and dynamic viscosity. The flow is induced by the elongation of a flexible flat plate in two directions. A comparison of heat transfer features of linear elongation of the plate and nonlinear elongation of the plate is conducted. The Rosseland radiative heat flux is studied in three different forms. The governing nonlinear equations are treated using apt nondimensionalization, stretching transformation, and then by using the Richardson extrapolation method. The results are presented via plots to analyze the impact of key parameters involved in the model. The magnitude of the nanomaterial temperature is enhanced due to the kinematics of nanoparticle aggregation. Among linear, quadratic, and nonlinear forms of Rosseland radiative heat flux, the quadratic radiative heat is more suitable when QDT is considered. A positive relationship is found between heat transfer and volume fraction and a positive relationship is observed between heat transfer and the QDT factor. The magnitude of the velocities and thermal field is higher for flow driven due to the linear elongation of the plate than the nonlinear case.  2021 Wiley Periodicals LLC</text>
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                <text>Mahanthesh B.; Srikantha N.; Mackolil J.</text>
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                <text>Heat Transfer, Vol-51, No. 1, pp. 891-908.</text>
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                <text>John Wiley and Sons Inc</text>
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                <text>&lt;a href="https://doi.org/10.1002/htj.22334" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/htj.22334&lt;/a&gt;
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                <text>ISSN: 26884534</text>
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                <text>Mahanthesh B., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Srikantha N., Department of Mathematics, MS Ramaiah Institute of Technology, Bengaluru, Karnataka, India; Mackolil J., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India</text>
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                <text>A Study on Identifying Causes for Non Institutional Deliveries among Beneficiaries of National Rural Health Mission</text>
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              <elementText elementTextId="5373">
                <text> B Karthik</text>
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                <text>2012</text>
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                <text>Social Work</text>
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                <text>With the aim of ??Health for all and Health everywhere??, several health programs have been launched in the country and worldwide. National Rural Health Mission has been started in the country as well as Karnataka in order to improve our health care delivery system with a strong focus on improving health outcomes especially among women, children and vulnerable population. Bringing healthcare to the door steps of the poor rural population is one of the criticisms under National Rural Health Mission. The main goal of National Rural Health Mission is to bring down maternal mortality and infant mortality by promoting 100% institutional deliveries, this is also above goals of millennium development goal 2015. To reach this goals holistic  approach  is  necessary.  In  Karnataka  under  National  Rural  Health  Mission,  many programs implemented in order to improve the health status of women and children. The programmes are Janani Suraksha Yojana, Prasuthi Arike, Thayibagya, 108 ambulance services, asha workers for every 1000 population and 24/7 Primary Health Centers have been initiated to promote institutional deliveries and to reduce maternal and infant mortality. Apart from the above programmes mother and child tracking system has been introduced in National Rural Health Mission in order to ensure 100% registration of pregnant women and status to ensure institutional deliveries of pregnant. Taking this as a background the study on ??Identifying Causes for Non- Institutional Deliveries??,    was taken of by the researcher for identifying the researcher for identifying the reasons for Non-utilization of benefits provided by Government. There is increase of health services in terms of  infrastructure, man power, drugs and equipment increase of health institution and other resources. Even though all health facilities are provided, the community is yet to encash the same due to several socio-cultural factors.This study encompass on religious, cultural, economical, infrastructural, medical causes/reasons for non-acceptance of Institutional deliveries which is critical for safe motherhood and child survival.



Keywords: Non-institutional delivery, National Rural Health Mission, Pregnancy.

 

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                <text>A Study on Index Futures and Index Options in India with Special Reference to NSE S&amp;amp;P CNX NIFTY</text>
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              <elementText elementTextId="4747">
                <text> Jacob Eby</text>
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                <text>2013</text>
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                <text>Commerce</text>
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                <text>The surfacing and growth of derivative market in India is a recent observable fact. Since the introduction, the derivative market has been showing a dramatic growth in terms of both trading volume and number of contracts.  This market helps different participants or economic agents to hedge themselves alongside uncertainties arise out of highly volatile market conditions.  It is evident that the growth of trading on indices is massive for the last 5 years i.e, from 2008 to till date. This study tries to make an in-depth revise on Index Derivatives -Index Futures and Index Options, market in India and the reason behind the growing popularity of trading on indices with special reference to NSE S&amp;amp;P CNX Nifty. 

Since volatility is a part of derivative market and has a major effect in derivative market fluctuations, this paper attempts to study the volatility of Index derivatives over a period of time in NSE India. This study also aims to understand the historical background and growth of Index derivative market in India. The study covers the period of eleven years spread over from 2000 to 2011. Lastly, for the better understanding of the trend, future prospects and latest innovations in this market, different participants of Indian index derivative market are interviewed.

In chapter one, the study presents an overview of Indian derivative market, the history of Index derivative market, various participants of derivative market, types and application of derivative products and theories and principles associated with these financial instruments. It also talks about the economic benefits of derivatives to the nation.

Chapter two consists of literature related to the current study. It talks about various views about derivative market, the impact of derivative products especially index futures and index options to the market and economy. It also points out the volatility aspect of the derivative market, suggestions to improve the market etc

Chapter three discusses about the research methodology for the study. It consists of statement of the problem, objectives of the study, data collection analysis and interpretation and limitations of the study. 

Chapter four discusses the research problem with different statistical analysis and measurement. It also talks about the findings of the study. Various statistical tools were used for the study like One Sample t-test, GARCH, EGARCH etc this chapter also does a historical and trend analysis of the derivative market in India for period ranging from 2000 to 2012. Chapter five is about the findings, suggestions and conclusion of this study. 



Keywords: Index Futures, Index Options, Volatility, Trading Volume, Open Interest

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