Manish Kumar Gupta

Artificial Neural Network-Based Solar Irradiance Forecasting

Sudipta Basu Pal, Chiradeep Mukherjee, Manish Kumar Gupta, Sneha Kumari et autres

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Advancing AI for India: A Survey on Hierarchical Reasoning and Modular Enhancements in Large Language Models

Manish Kumar Gupta, Lakshmi Panat

Large Language Models (LLMs) have changed how computers read and write text. They are trained on vast amounts of data and can provide clear answers and perform multiple tasks. Rather than just expanding these models, researchers have recently begun including tools, retrieval …

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Chat-Sahayak: Easy Query System for Indian Documents

Manish Kumar Gupta, Hemant Desai, Sonal Todkar, Lakshmi Panat

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Visual SLAM Based Indoor Navigation of an Aerostatic Drone

Deepak Chand, Manish Kumar Gupta, Sohan Suvarna

From Data to Big Data: An Exploration of the Evolution and Impact of Large-Scale Data Analytics

Manish Kumar Gupta

The epidemic growth of information has led to the big data era with vast volumes of diverse and complex data. This paper aims to provide a comprehensive overview of the transition from traditional data to big data, highlighting its transformative impact on …

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FASTer: Handwritten Text Line Segmentation Using Customized FAST with Erode for Marwari (Heritage Script)

Manish Kumar Gupta, Siddharth Dhawan, Lakshmi Panat

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Chitrantaran: Web-based Platform to Enhance the Document Digitization Process using OCR and Machine Translation

Manish Kumar Gupta, Gaurav Phokmare, Sonal Todkar, Siddharth Dhawan et autres

This paper introduces an advanced web application designed to significantly improve document digitization workflows through concurrent Optical Character Recognition (OCR) processing and intuitive user interaction. All of these are seamlessly integrated within a modular system architecture that incorporates multiple microservices. The application …

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Extended Spectrum Beta Lactamase-Producing Pseudomonas aeruginosa: Phenotypic Identification and Antimicrobial Resistance Pattern

Sonia Sharma Bharty, Manish Kumar Gupta, Jagmohan Singh Dhakar, Vijay Kumar et autres

Background: Pseudomonas aeruginosa is the most prevalent Gram-negative bacteria associated with nosocomial infections.It is therefore necessary to study its trend of antimicrobial resistance.Few therapeutic alternatives are available as Extended spectrum Beta lactamases (ESBL)-producing organisms exhibit co-resistance to several antibiotics' classes.To study's aim …

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Co-expression of ESBL, AmpC and MBL in Pseudomonas Isolates from a Tertiary Care Hospital in Central India

Sonia Sharma Bharty, Manish Kumar Gupta, Vijay Kumar, Jagmohan Singh Dhakar et autres

Background: Pseudomonas aeruginosa infections have grown more commonplace globally as an opportunistic infection that might have unfavorable effects on hospital and community settings.The three main mechanisms of bacterial resistance to betalactam medications are Metalloβ Lactamases (MBL), AmpC β lactamases, and Extended Spectrum …

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Document Image Script Identification using Deep Network

Manish Kumar Gupta, Siddharth Dhawan, Ajai Kumar

In this paper, we propose script identification of Indian language document images using MobileNetV3. Script identification at the page level is an essential task for Optical Character Recognition (OCR). OCR is a time-consuming task with a lot of computation required. To make …

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CMViT OCR: printed Indian language recognition using CMViT

Manish Kumar Gupta, Siddharth Dhawan, Ajai Kumar

In this research, we propose to recognize scanned line images of printed text in 11 Indian languages using CMViT, a single visual model created by merging ConvMixer with modified attention in Vision Transformer (SVTR). Recognizing the Indian language is challenging due to …

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Improving search relevance of Azure Cognitive Search by Bayesian optimization

Nitin Agarwal, Ashish Kumar, Raj Kiran, Manish Kumar Gupta et autres

Azure Cognitive Search (ACS) has emerged as a major contender in "Search as a Service" cloud products in recent years. However, one of the major challenges for ACS users is to improve the relevance of the search results for their specific usecases. …