• A detailed study of intersection of Cyber Security and Blockchain technology for robust security Decentralized Environments 

  Ms. Saloni S. Chauhan, Chauhan (2023)

  The intersection of Blockchain technology and Cyber security has emerged as a key area of study in the field of decentralized environments. This research paper offers a detailed analysis of this intersection to shed light ...
• Unlocking The Potential Of Machine Learning For Diabetes Prediction 

  Mr Nisarg, Kishorchandra Atkotiya; Dr Ramani, Jaydeep Ramniklal; Dr Jayesh N, Zalavadia (2024)

  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 ...
• IMPACT OF IOT IN BANKING PROCESSES 

  Dr Ramani Jaydeep R, Dr Jayesh N Zalavadia (2023-07)

  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 ...
• Leveraging Hadoop And Machine Learning Techniques In The Healthcare Industry 

  Dr. Priti Sadaria, Dr. Rupal Parekh (2024)

  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 ...
• Sustainable Business Strategy and its Impact on Economic Development 

  Mittra, Dr. Uday Krishina; Mahavidyalayab, Khalisani (2021)

  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 ...
• “Analyzing User-Based and Item-Based Recommender Systems: A Comparative Examination” 

  Dr. Divyesh P. Gohel , Dr. Pratik A. Vanjara Dr. Pratik A. Vanjara (2024)

  This research paper presents an in-depth analysis and comparative examination of two prominent recommender system approaches: user-based collaborative filtering and item-based collaborative filtering. Recommender systems ...
• A STUDY OF RECOMMENDATION SYSTEM IN E-COMMERCE 

  DIVYESH GOHEL, DR. PRATIK VANJARA (2022)

  Recommendation Systems (RS) are commonly employed in the e-commerce business to deal with the problem of information overload. Because there is so much information available these days, users are having trouble discovering ...
• CROP PRICE DATA INTERPRETATION:A COMPARISON OF MACHINE LEARNING 

  JIGNESH HIRAPARA, DR.PRATIK VANJARA (2022)

  Machine learning and its methodologies are used in agribusiness domains to predict edit costs based on stock availability and generation. On a daily basis, a massive amount of data is generated through the display of farming ...
• HYBRID MACHINE LEARNING IN CLASSIFICATION METHODS FOR HCR IN GUJARATI LANGUAGE 

  PRIYANK D. DOSHI, DR.PRATIK VANJARA (2022)

  The problem of recognizing Gujarati Handwritten character with vowels opening new future scope where one can use smart phone, website or any handy scanner to convert hand written Gujarati Language into text. It will be ...
• Image Set Quality Optimization for Handwritten Gujarati Character and Its Modifier Recognition 

  Priyank D. Doshi, Pratik A. Vanjara (2022)

  The problem of recognizing handwritten Gujarati characters has been tried by many researchers but still it requires enough work from vowel recognition up to its online application. The problem becomes even more complex if ...
• Recommender System: Techniques, Comparison & Solutions 

  Divyesh Gohel, Dr. Pratik Vanjara (2022)

  There are several benefits of e-commerce websites that include cost effectiveness, convenience, flexibility, fast delivery, increase in income, etc. With these benefits, there is crucial role of e-commerce websites in ...
• A Comparative study of Data Mining Techniques for Agriculture Crop Price Prediction 

  Hirapara, Jignesh; Vanjara, Dr.Pratik (2022)

  Agriculture crop prices forecasting is a very interesting and high challenging process as it is fully dependent on upcoming production in entire country. Recently most available application is designed for price analysis ...
• A FRAMEWORK FOR FINE GRAINED SENTIMENT ANALYSIS ON CODE-MIXED LANGUAGE FOR SOCIAL MEDIA USER BEHAVIOURS 

  Tan, Anand; Vanjara, Pratik (2024)

  Here, we provide a framework that discovers sentiments from social media platforms, assesses, and transforms them into meaningful data. Social media is changing people's attitudes and habits, which in turn is influencing ...
• Exploring the Diverse Applications of Deep Learning Across Multiple Domains 

  Sadaria, Dr. Priti; Khachariya, Dr. Haresh; Hirpara, Dr. Jignesh (2023)

  This study examines the interdisciplinary connections that result from deep learning applications in artificial intelligence (AI) across several fields. A division of machine learning recognized as "deep learning" has ...
• CROP PRICE DATA INTERPRETATION:A COMPARISON OF MACHINE LEARNING 

  HIRAPARA, JIGNESH; VANJARA, DR.PRATIK (2022)

  Machine learning and its methodologies are used in agribusiness domains to predict edit costs based on stock availability and generation. On a daily basis, a massive amount of data is generated through the display of ...
• A model to analyze interpret activities of agriculture fraternity with data interpretation 

  Hirapara, Jignesh; Vanjara, Dr.Pratik (2021)

  In Agriculture, field farmers and agriculture, fraternity has to take impotent decisions every day. In our country, farmers are not getting the expected price from their crops. Crop price mostly depends on the market and ...
• Comparative study of performance of RDBMS: SQL Server and DBMS: FoxPro 

  Ganatra, Disha (2019)

  Nowadays data is just like assets in organizations. Data allows organization to determine the reason of problems. Organization can make decision based on data. Database management system has been used to store, organize, ...
• Study of High Availability Solutions of SQL Server 

  Ganatra, Disha (2020)

  Now a day setting up powerful and strong production system our main goal is minimizing downtime and service interruptions. In present time we can realize the importance of high availability to improve operational performance ...
• An Evaluation Of The Function Of Information And Communication Technologies In The Spread Of Technical Knowledge; An Employee Centered Analysis 

  Nithya, Dr.Shripria V; Jayaraj, Dr. Priyanka; Khachariya, Dr.Haresh D; Rajesh, Dr Balamurugan S (2024)

  Information and Communication Technologies (ICTs) have revolutionized the way technical knowledge is disseminated and accessed across the globe. This paper explores the strategic role of ICTs in facilitating the spread of ...
• Enhancing Education for Undergraduate Students of Computer Science through Mentoring: A Big Data Analytics Approach 

  Dave, Nehal K; Kavathiya, Dr. Hiren R (2024)

  In the arena of computer science tutoring at the undergraduate level, mentorship programs have become an essential tool for professional and academic growth. This study examines the critical role that mentoring plays in ...

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