Vikram Patil

Advancing Colonoscopy Diagnosis for Polyp Recognition Using Fastai and EfficientNet Deep Learning

R Shashidhar, Suveer Udayashankara, Vinayakumar Ravi, Vinod Kumar L. et autres

Introduction Colorectal cancer is one of the global health threats and ranks among the deadliest diseases worldwide. The recognition and elimination of polyps at a primary, precancerous phase are, therefore, the key to preventing CRC. Most of these polyps differ in size …

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Image Forgery Detection

Vikram Patil, Ms. Muskan Sayyad, Manohar Shinde, M. M. Pathan et autres

In the digital age, the proliferation of image editing tools has made it easier than ever to manipulate images, raising concerns about the authenticity and credibility of visual content. This project focuses on the development of an effective and efficient image forgery …

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Comparative Analysis of Deep Learning and Machine Learning Models for DDoS Attack Detection

S. Maheswari, N. Rajkumar, Vikram Patil, Anuradha Pawar et autres

This study investigates the performance of deep learning (DL) and machine learning (ML) models for detecting Distributed Denial of Service (DDoS) attacks using the CIC_DDoS_2019 dataset. The DL models, including Convolutional Neural Networks (CNN), Deep Neural Networks (DNN), and Recurrent Neural Networks …

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Artificial Intelligence Unveils the Unseen: Mapping Novel Lung Patterns in Bronchiectasis via Texture Analysis

Abhilash Nair, Rakesh Mohan, Mandya Venkateshmurthy Greeshma, Deepak Benny et autres

Background and Objectives: Thin-section CT (TSCT) is currently the most sensitive imaging modality for detecting bronchiectasis. However, conventional TSCT or HRCT may overlook subtle lung involvement such as alveolar and interstitial changes. Artificial Intelligence (AI)-based analysis offers the potential to identify novel …

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GeoSecure-B:A Method for Secure Bearing Calculation

Vikram Patil, Pradeep K. Atrey

Location-Based Services (LBS) applications are everywhere these days. Detecting the heading or bearing is crucial for many of these applications, as it indicates the direction the user is moving. This information is typically derived from the GPS trajectory of the user. However, …

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Respiratory Outcomes Among Women Using Biomass Cooking Fuel in India: Evidence Generation for Policy Action

P A Mahesh, Praveena A. S, Mandya Venkateshmurthy Greeshma, Vikram Patil et autres

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Do farmers pay for climate-resilient technology? Evidence from bidding experiments in eastern India

Lisa Mariam Varkey, Prakashan Chellattan Veettil, Vikram Patil

Using an experimental auction, we estimate demand for stress-tolerant rice varieties (STRVs) in eastern India, where frequent covariate production risks are affecting the welfare of smallholder farmers. STRVs have the potential to cope with low- to medium-intensity abiotic stresses and stabilize rice …

Effect of technological and social distance in crop diversification and variety adoption

Prakashan Chellattan Veettil, Vikram Patil, Berber Kramer

Effect of technological and social distance in crop diversification and variety adoption

Prakashan Chellattan Veettil, Vikram Patil, Berber Kramer

Development and Validation of Novel Analytical Method for the Determination of Particle Size Distribution in Ciprofloxacin Hydrochloride Using Laser-based Particle Size Analyzer

Amit Gosar, Chetana Parange, Suyog Narvankar, Shivaji Jadhav et autres

This paper described a rugged and precise particle size determination method that has been developed and validated for the determination of particle size distribution of Ciprofloxacin Hydrochloride by a dry method using Malvern Mastersizer 2000. The Method of the particle size distribution …

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An Authentication System For Online Question Paper Delivery using Visual Cryptography

Akshay Bhosale, Vikram Patil, Pravin Shivaji Bidkar

Visual Cryptography (VC) can be used for sharing a secret image. The image is distributed among the valid participants in the form of transparencies that are random noise-like images. When the required number of participants superimpose their transparencies, the secret image gets …

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Accuracy and Fairness in Pupil Detection Algorithm

Omkar N. Kulkarni, Vikram Patil, Vivek K. Singh, Pradeep K. Atrey

Despite being highly accurate, widely used multimedia analysis algorithms can suffer from bias, affecting users’ trust in them. For instance, algorithms for face recognition, pedestrian detection, and image search have recently been reported to be biased. In this paper, we move the …

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