• 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 ...
• An analytical study of Natural Language Processing in context with Machine Learning 

  Patel, Shital S; Dr. Dipti H., Domadia (The Maharaja Sayajirao University of Baroda, 2021-04)

  Natural Language processing study has reached some extent where distinct machine learning algorithms were implemented to obtain better leads to text classification. This paper presents much previous research works in this ...
• Speech Emotion Recognition Using Machine. Learning 

  Raja, Kinjal S.; Sanghani, Disha D. (Educational Administration: Theory and Practice, 2024)

  Speech signals is being considered as most effective means of communication between human beings. Many researchers have found different methods or systems to identify emotions from speech signals. Here, the various ...
• A Review on Software Fault Detection using a Classification Model with Dimensionality Reduction Technique 

  Paneri, Devangi; Chauhan, Mansi (International Journal of Scientific Research & Engineering Trends, 2021-04)

  Software plays the most important role in every organization it requires high-quality software. If a fault happens in this system then it causes high financial costs and affects people's lives. So, it is important to develop ...
• Comparison of Different Hybrid Approaches Used for Sentiment Analysis: Survey 

  Chauhan, Mansi; Paneri, Devangi (International Journal of Scientific Research & Engineering Trends, 2021-04)

  In Today’s Technological Life Social media quiets a specious amount of Information. Social media has become a tremendous source of acquiring Users Opinions. It also helps to analyze how people, particularly consumers, feel ...
• Comparative Analysis of Internet of Things (IoT) based Low Power Wireless Technologies 

  Chaudhary, Himadri; Patel, Honey; Tank, Birju (International Journal of Engineering Research & Technology (IJERT), 2018)

  Internet of Things (IoT) marketplace is swiftly expanding as companies across multiple vertical industries recognize the need for connectivity and the potential transformation enabled through connectivity. In short, ...

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