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Stooge sort is a sorting algorithm, used to sort a linear array having n number of elements. What it does is, recursively sorts the partitions of the array of 2/3rd size, and after sorting each partition, the complete array gets sorted. It is not much efficient algorithm, but this algorithm can help to get a better understanding of recursion. Read more
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Hello folks, I’m back with a new article. This article is a bit interesting and knowledgeable as you can see in the title as well. This article can be very useful for you during your databases interviews and exams. This topics were asked in my interview, and in some of them, I’m blank at that moment XD. Then, I learn about these concepts and find them very interesting.
In this article, I’ll be discussing about some of the powerful functions of the postgreSQL, which can help you in solving mathematical queries in your interviews and exams. With this, I’ll be discussing some questions as well so that you can understand where we can use these functions properly.
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Hey Readers! Hope you are doing well. In this article, I’ll be sharing some of my learning in Medical Science Technologies I had learned during one of the best phases of my life…My Summer Internship at e-Yantra Labs, where I got a chance to research in the field of Medical Imaging & Radiology.
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Hey geeks! Hope you are doing well. From the title of this article, you will understand what we are talking about in this article. So in this article, we will be learning how easy can be to build a RESTFUL API, integrated with a PostgreSQL server. I learned it when one of my friends needs a secure interface for sending the sensor data from the hardware to the SQL server. He asked me, is there was any way I can send the data directly to the server? So, the first time I worked with SQL & NodeJs. Because in most of the cases Nodejs is combined with NoSQL servers like Mongo DB.
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This project is a set of REST APIs related to UPI transaction cycle, build using Django and python. This project contains 15+ APIs from user registeration to making a transaction.
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The aim of the proposed research-based project is the development and deployment of Artificial Intelligence (AI) based mathematical models to analyze uni-modal and multi-modal aspects of the input data to predict depression.
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The project attempts to propose a detailed comparison of popular Machine Learning techniques with an aim to predict the risk of Lung Cancer effectively by analyzing and refining the set of available attributes through several feature selection processes to select the factors which strongly affect the chances of Lung Cancer.
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This project focuses on classifying medicinal plant leaves based on shape and size using deep learning approaches.
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Published in International Conference for Emerging Technology (INCET), 2nd Edition, 2021
This paper discuss semantic Address matching technique, by which we can find out a particular address from a list of possible addresses. Read more
Recommended citation: V. Gupta, M. Gupta, J. Garg and N. Garg, "Improvement in Semantic Address Matching using Natural Language Processing," 2021 2nd International Conference for Emerging Technology (INCET), 2021, pp. 1-5, doi: 10.1109/INCET51464.2021.9456342 https://ieeexplore.ieee.org/document/9456342
Published in 2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET), 2022
In this paper, We have designed a fully-fledged solution using IoT and machine learning to assist railways in performing parcel management operation efficiently Read more
Recommended citation: M. Gupta, N. Garg, J. Garg, V. Gupta and D. Gautam, "Designing an Intelligent Parcel Management System using IoT & Machine Learning," 2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET), Arad, Romania, 2022, pp. 751-756, doi: 10.1109/GlobConET53749.2022.9872449. https://ieeexplore.ieee.org/document/9872449
Published in ESEC/FSE Industry Track 2023, 2023
This paper offers an all-encompassing solution for resume parsing, job profile matching, and credibility assessment. Read more
Published in IJCNLP-AACL 2023, 2023
In this paper, we propose a grammatical error correction mechanism with dynamic context learner. Read more
Published in EMNLP 2023, 2023
We present a novel Multi Citation Text Generation (M-CTGP) architecture that leverages prompting knowledge graphs tailored for scientific articles. Read more
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown! Read more
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field. Read more
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post. Read more
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post. Read more