• Security and Privacy in Mobile Apps 

  Buch, Rachana (International Journal of Trend in Innovative Research, 2020-06)

  The world has gone mobile. 80% of adults possess a cell phone and more than half of them have access to internet. The mobile app marketplace is blooming with more than 1.5k mobile apps launched every day in the play store. ...
• Smart Door Lock-Unlock with Internet of Things & Access Control 

  Bhalodia, Tosal (Journal of Emerging Technologies and Innovative Research, 2019-06)

  In the current scenario, the internet of things is one of the best and new technology which can easily connect and communicate with control of the device and give a better and easy life with security. With the exponential ...
• Leveraging Block Chain for Ensuring Trust in IoT in Health Care 

  Gandhi, Yesha; Chauhan, Sandip (International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), 2022)

  Internet of Things (IoT) devices has completely new challenges regarding security and privacy. Blockchain technology could be a great to mitigate challenges of data security and privacy relay in the IoT. Crypto currency ...
• Darwin,s theory with vishnu,s incarnations 

  Gandhi, Yesha Jayeshbhai (journal of emerging technologies and innovative research, 2024-04)

  The idea of "survival of the fittest," or natural selection, emphasizes the natural world's constant need for adaptation and development. It is a dynamic force that ensures a species' adaptability and relevance in changing ...
• Detection and Classification on Plant Disease using Deep Learning Techniques 

  Chavda, Rohit P.; Bhalodia, Tosal (International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2024)

  Plant diseases are a major problem for the agriculture industry because they can cause large crop losses and jeopardize food security. Deep learning approaches have demonstrated encouraging results in automating plant ...
• Crop Price Data Interpretation: A Comparision of Machine Learning 

  Hirapara, Jignesh; Vanjara, Pratik (Research Matrix, 2022-01)

  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 ...
• Study on natural language translation with Artificial Intelligence to extract meaningful information 

  Ganatra, Disha; Domadiya, Dipti (The Maharaja Sayajirao University of Baroda, 2021-04)

  With truly expanding electronically accessible data, creating machine tools for the extraction of data of interest has expected significant importance. Natural Language processing study has arrived at a point where ...
• Study of Different Information Extraction Methods Used for Analysis of Unstructured Image Data: A Literature Survey 

  Atkotiya, Kishor H.; Faldu, Ankit J.; Patel, Amit; Gujarati, Prakash (The Maharaja Sayajirao University of Baroda, 2020)

  The evolution and easy availability of internet services to the people has commanded to generated large volume of data. When more data is generated and more resource are required for analysis of those data. There is no ...
• Risk Management Techniques in Banking Sector Using Data Mining 

  Ramani, Jaydeep R.; Dr. Jayesh N., Zalavadia (GIS Science Journal, 2020)

  There is a growing power of data mining in business applications, with several solutions already applied and many more being discovered. Since the worldwide financial crisis, risk management in banks has increased more ...
• Query-Optimization - Factors and Issues affecting the Overall Cost in Database System 

  Parsana, Falguni (International Journal of Research And Analytical Reviews, 2019-03)

  The paper identifies various issues and factors in Query Processing and Optimization while choosing the best Database Execution Plan. Our approach depends on various phases of query processing and optimization, heuristic ...
• Performance Evaluation of RDBMS with Several NoSQL Databases in aspect of Medical Images 

  Parekh, Rupal; Dr. Achyut C., Patel (Journal of Information and Computational Science, 2020)

  The use of digital medical imaging systems has greatly increased in healthcare institutions and they are currently valuable tools supporting medical decision and treatment procedures. NoSQL databases have been replacing ...
• Performance Analysis of Clustering and Data Mining Methods on Medical and Clinical Data Through Rough Set Theory 

  Kavathiya, Hiren R.; Dr. G. C., Bhimani (Tathapi, 2020-06)

  In this paper, we used two models for analysis, prediction, cost estimation, cost sensitivity and knowledge discovery rules for medical data by using rough set theory. In the first model,RGA and rule generation algorithms ...
• Novel method in detecting outliers in medical database 

  Kavathiya, Hiren R.; Dr. G. C., Bhimani (GIS Science Journal, 2020)

  In this paper, we used two models of outlier detection techniques in which the first model talks about Application of Data Mining Techniques for Outlier Mining in Medical Databases and the second model throws light on ...
• Machine vs. Human: Analysis on Effectiveness of Language Translator 

  Ganatra, Disha; Dr. Dipti, Domadiya (High Technology Letters, 2021-08)

  AI interpreters are computerized apparatuses that utilization progressed man-made reasoning to not just decipher the words that are composed or spoken, yet additionally to decipher the significance (and some of the time ...
• Introduction to machine learning for making prediction easy and accurate 

  Halvadi, Homera; Dr. Falguni, Parsana (Journal of Information and Computational Science, 2023)

  Today's digital world includes IoT data, network security data, mobile data, business data, inf ormation technology, data health, etc. It is rich in data. Knowledge of artificial intelligence ( AI) and especially machine ...
• Information Mining Techniques for Customer Relationship Management in Banking Sector 

  Ramani, Jaydeep R.; Dr. Jayesh N., Zalavadia (Tathapi, 2020-04)

  Now days few businesses including like banking, money, retail, protection, exposure, database promoting, and deals anticipate, and so on are Information Mining instruments for Customer Relationship Management (CRM). Driving ...
• Impact of IOT IN Banking Processes 

  Dr. Jaydeep R., Ramani; Dr Jayesh N., Zalavadia (Juni Khyat, 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 ...
• Hadoop MapReduce with Machine Learning Techniques for Big Data Computing On Cloud Environment 

  Sadaria, Priti; Dr. Achyut C., Patel (Journal of Information and Computational Science, 2020)

  Now a day no field remains untouched with Information Technology. Health care industries are using Information Technology for different aspects. Mining of valuable information by analyzing this quickly rising data for ...
• Future Domains Related To Semantic Web Technologies 

  Dr. Kishor H., Atkotiya; Gujarati, Prakash P. (Wesleyan Journal of Research, 2021-01)

  Semantic web technologies have been exposed in different fields. They can define and linked data over the net consistently and coherently. The semantic web is a technology to save data in a machine-readable format that ...
• Extracting Meaningful Information from Semi and Unstructured Data Sourcexs with Different Techniques: A Scientific Literature Review 

  Chaniyara, Shital M.; Dr. Dipti H., Domadiya; Dr. Stavan C., Patel (High Technology Letters, 2021)

  Millions of structured, semi-structured, and unstructured documents are produced around the globe a day today. Several research societies like IEEE, Elsevier, Springer, and Wiley that we use to publish the scientific ...

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