http://10.9.150.37:8080/dspace//handle/atmiyauni/484 Mon, 27 Apr 2026 18:57:54 GMT 2026-04-27T18:57:54Z http://10.9.150.37:8080/dspace//handle/atmiyauni/1920 Title: Unlocking The Potential Of Machine Learning For Diabetes Prediction Authors: Mr Nisarg, Kishorchandra Atkotiya; Dr Ramani, Jaydeep Ramniklal; Dr Jayesh N, Zalavadia Abstract: Millions of individuals throughout the world suffer with diabetes, a chronic condition that if unchecked can have catastrophic health repercussions. In order to forecast diabetes risk and aid healthcare professionals in managing or preventing the condition, machine learning algorithms have become increasingly effective. The goal of our work is to inspect the achievement of machine learning techniques in predicting diabetes. The dataset used in previous study consists of demographic and clinical data of patients who have been diagnosed with diabetes and those who have not. Different classification and Neural Network algorithms, such logistic regression, Artificial Neural Network, XGBoost Random Forest, Voting Classifier and Naïve bays were employed to forecast the occurrence of diabetic in patients. The findings of the study indicate that these machine learning algorithms achieved significant accuracy rates in diabetes prediction. Among the algorithms utilized, the Random Forest algorithm achieved the best accuracy rate of 86.5The study also discovered that a range of parameters, such as hypertension, age, body weight, and levels of glucose, were valid markers of diabetes. For individuals who have a greater chance of acquiring diabetes, these factors can help medical experts act early and provide unique treatment strategies Mon, 01 Jan 2024 00:00:00 GMT http://10.9.150.37:8080/dspace//handle/atmiyauni/1920 2024-01-01T00:00:00Z http://10.9.150.37:8080/dspace//handle/atmiyauni/1919 Title: IMPACT OF IOT IN BANKING PROCESSES Authors: Dr Ramani Jaydeep R, Dr Jayesh N Zalavadia Abstract: The Internet of things (IoT) represent the next phase of the digital world that expanding rapidly and transform the lives of customer. While the Internet does not usually extend beyond the electronic world, connected objects represent the extension of internet of things and places with the adaptations of IOT in personalized services like online banking, contactless payment technologies are demanding convent and personalizes services in IoT base banking application which provide high quality fast response to their customer anywhere, anytime. Customer always expecting highest level of digital security from their banks where machine to machine connectivity help the organization to collect mass data and exchange of data with the help of sensor and numerous opportunities in banking sector. Banks always need to convert IoT into profitable data which increase their market share and gives better services to their customers. In this paper we would like to find some of the frauds in banking sector and proposed framework Sat, 01 Jul 2023 00:00:00 GMT http://10.9.150.37:8080/dspace//handle/atmiyauni/1919 2023-07-01T00:00:00Z http://10.9.150.37:8080/dspace//handle/atmiyauni/1917 Title: Leveraging Hadoop And Machine Learning Techniques In The Healthcare Industry Authors: Priti Sadaria, Rupal Parekh Abstract: In the technological age, data is generated at very quick and processing as well as analysis these very big data is a not easy task. Conventional systems for managing databases are time consuming and are not able to analyze data fully. Healthcare industry have large quantity of data but it is lack of analysis so hidden pattern cannot be identify for prediction of any diseases. To overcome such issue, Big Data is used to handle and control large volume of data which may be either in structured or in unstructured form. The hidden pattern can be identified and prediction can be made about future condition. Hadoop MapReduce has the capability to facilitate healthcare industry to get better prediction of diseases and make faster and proper judgment for right future treatment of patient by analyzing healthcare data. Machine Learning algorithms can help to design predictive healthcare model for community wellness. I proposed system architecture to process and analyze data using Hadoop MapReduce with Machine Learning Techniques and ultimately it leads to prediction of diseases. As a result it increases life span as well as it leads to healthy life and reduce the rate of death by providing timely treatment Mon, 01 Jan 2024 00:00:00 GMT http://10.9.150.37:8080/dspace//handle/atmiyauni/1917 2024-01-01T00:00:00Z http://10.9.150.37:8080/dspace//handle/atmiyauni/1916 Title: Sustainable Business Strategy and its Impact on Economic Development Authors: Mittra, Dr. Uday Krishina; Mahavidyalayab, Khalisani Abstract: Sustainability in business, refers to carry on business without negatively impacting the environment community or a society as a whole. Organisations would look attheir staff and management structures to ensure gender equality and reduced inequalities. In order to maintain responsible consumption, they would need to ensure that their supply chain supports environmental goals. Such as climatic action, life below water and life on land. This means that strategy is formulated and executed so that the needs of the firm, its stakeholders are met today, while protecting, sustaining and enhancing the natural resources that will be needed in future. There are numerous studies in the field where need for Sustainable development &role of a business in this respect has been enlightened Some other Studies tried to focus Sustainable Development Agenda of the UN and a very few articles considered the comprehensive impact of our worthy Planet. Under this article,we will try to observe which business Strategy will perform more effectively for sustainable development and improve the living conditional for mankind. The data on sustainable development and its application in formulation of business strategy will be collected from different sustainable development agenda of the UN conferences, encyclopaedia of the UN Sustainable Development goals and from the various Published secondary sources. Simple statistical tools are to be used in making conclusions. Policy Prescriptions will be offered so as to make sustainable business Strategy more effective in the universe Fri, 01 Jan 2021 00:00:00 GMT http://10.9.150.37:8080/dspace//handle/atmiyauni/1916 2021-01-01T00:00:00Z