Search results for “factor”

Published Subscription 5 Feb 2021

A Comprehensive Study on Cloud Mining of Cryptocurrencies

By Akshay Gagrani, Ankit Raj, Priyanka Mitra

Abstract: ABSTRACTThe whole world is going online. Everything is becoming fast and convenient with each passing day and we are now living in a global village, where information from around the world is available on our fingertips. The online community has also influenced the economic world with the advent of cryptocurrencies like Bitcoin. As the world is getting closer, the need for a universal, non-bureaucratic, yet trustworthy online mode of transaction …

Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 2, 2020 · pp. 18–23 Read article

Published Subscription 10 Mar 2023

Sentimental Analysis on Movie Review Using Artificial Intelligence and Machine Learning

By Divyanshu Athwani, Douli Suthar, Mohit Soni, Abhay Jindal

Abstract: A recent area of study with applications in many other fields is sentiment analysis. Sentimental analysis helps to classify a subject’s sentiments (e.g., positive, negative, or neutral) automatically towards a specific topic, product, news, or any movie. Machine learning is a powerful technique of artificial intelligence (AI) to control the increasing demand for accurate sentimental analysis. Online reviews, comments, and polls are used to collect a sizable amount of textual …

Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 43–50 Read article

Published Subscription 19 Oct 2023

RDTP: Reliable Delay Time Protocol with Duty Cycle Optimization in 6LoWPAN-WBAN

By Illapu Sankara Srinivasa Rao, M. Aswini

Abstract: Medium access control (MAC) protocols based on the adaptive duty cycle and the IEEE 802.15.4 standard have recently been proposed to address the Quality of Service (QoS) requirements of wireless body area sensor networks. These QoS requirements include time-bound data transmission services, data rate, reliability, and energy consumption. Providing a comprehensive set of QoS is difficult with the present protocols, though. Furthermore, these protocols adjust duty cycle values by considering …

Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 2, 2023 · pp. 26–42 Read article

Published Subscription 17 Jul 2018

Feature Extraction: Comparing Feature Extractors

By Nitin Kumar, SAURABH ALLAWADHI, Aastha Sharma, Abhilash Shokeen

Abstract: Machine learning is getting fuzz nowadays a lot. In order to train the computer to recognize the set of images is the key factor. For this neural networks and classifiers are used to do the identification and recognition. Now do the matching feature points or the interest points are required which makes it to our area of research i.e. feature extractors. In our paper we compared various feature extractors Fast, …

Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 1, 2018 · pp. 12–17 Read article

Published Subscription 27 Jun 2019

Face Recognition and Identification Using Computer Vision

By T. Sudharsan, S. Sumithaa, S. R. Swarga

Abstract: ABSTRACT In practice, identification of criminal in India is done through thumbprint identification. However, this type of identification has many constraints. Our face recognition poses to be able to detect face and recognize face automatically. Nowadays, face recognition systems use biometric for many security applications. This technique uses an image-based approach toward artificial intelligence by removing redundant data from face images through image compression using computer vision that compares a …

Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 6–10 Read article

Published Subscription 17 Jun 2020

Review Paper on Image Enhancement Using Various Methods

By Manish Sharma, Ashish Dubey, Prashant Badal

Abstract: Image enhancement methods were used to modify the images that were accepted as visual perception. Image enhancement methods mainly used for image contrast. Histogram compensation, used in the form of the cumulative distribution function (CDF), is one of the challenging factors in image processing. The goal of the enhancement is to improve the structural look of an image without impairing the input image. The enhancement techniques make it easier to …

Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 27–35 Read article

Published Subscription 2 Jul 2021

Need of Face-Mask Detector Model to Tackle COVID-19 Situation in India

By Pankaj Kumar, Tejbir Singh

Abstract: The COVID - 19 epidemic is affecting everyone whether rich or poor, strong or weak. The use of a mask can surely aid in the control of the spread of the virus. This becomes even more important for a country like India where the total population is above 135+ crores and due to lockdowns and various other reasons, a huge percentage of the population has dipped below the poverty line …

Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 13–22 Read article

Published Subscription 5 Jul 2023

Crop Disease Classification and Detection Using Deep Learning Approach

By Prajakta Jadhav, Prathmesh Sadake, Sakshi Thombare, Chenna Reddy Annapu Reddy

Abstract: Early diagnosis of plant diseases is essential because they have an effect on the evolution of their unique species. For the identification and classification of plant diseases, a variety of Machine Learning (ML) models have been employed, but with the advent of Deep Learning (DL), a subset of ML, this area of research now seems to offer substantial potential for increased accuracy. The 4th most common staple food consumed worldwide …

Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 22–27 Read article

Published Subscription 22 Dec 2015

Identification and Analysis of Characteristic Required by Women Entrepreneur

By M. W. Nagardhane, M. S. Gondane, P. A. Borkar, H. M. Shukla

Abstract: Abstract Entrepreneurs in the country play a vital role in the overall development of the country. This project basically focuses on the study of several characteristics required for women to become entrepreneurs. This project is mainly executed in many steps the first one involved selection criteria for the women entrepreneurs. Second one was personal visit to for knowing their personal details of an entrepreneur. The questionnaire we prepared covered four …

Published in International Journal of Software Computing and Testing · Vol. 1, Issue 1, 2015 · pp. 27–39 Read article

Published Subscription 7 Mar 2019

User Trust & Item Ratings based Regularized Model

By J. Sankeerthana, M. Suma, T. Shravanthi, G. Sheshoban, Dr. K. Babu Rao

Abstract: We recommend TrustSVD, a faith grounded frame factorization system for proposals. TrustSVD integrates dissimilar data sources into the suggestion demonstrate to diminish the information sparsity and cool begin issues and their exploitation of proposal execution. An investigation of social trust information from four true informational collections proposes that the express as well as the understood impact of the two evaluations and trust ought to be thought about in a suggestion …

Published in International Journal of Software Computing and Testing · Vol. 4, Issue 2, 2018 · pp. 19–23 Read article

Published Subscription 12 Feb 2020

Smart Waste Management System Using IoT

By Amal Baby, Anandu Ranjendran, Jestin K Joseph, Jyothisree K R

Abstract: Waste collection and to dispose is one of the biggest issue that world is facing. This requires huge expenditure and more costing includes manpower, collection bin vehicle cost, fuel cost, and proper ways to dispose it. This factor led the necessity of designing, implementing and executing an intelligent smart waste management system for proper dispose of waste. This paper concentrates on the implementation of smart waste management using IoT computing. …

Published in International Journal of Software Computing and Testing · Vol. 5, Issue 2, 2019 · pp. 30–37 Read article

Published Subscription 23 Jun 2021

Bank Loan Approval Automation

By Abhishek Pathak, Abhishek Kumar

Abstract: Because of the pandemic everyone need loan to grow their business so lot of people apply for the bank loan but bank has its limited assets which it has to grant to limited people only, so finding out the person who return the loan in a given time is a difficult job. So Here our machine learning model come in to picture the main motive of our model is try …

Published in International Journal of Software Computing and Testing · Vol. 7, Issue 1, 2021 · pp. 16–20 Read article

Published Subscription 31 Oct 2023

A Comprehensive Analysis of Context-aware Recommender Systems Implemented Across a Range of Domains

By Muhammad Nadeem, Syeda Wajiha Zahra, Muhammad Nouman Abbasi, Ali Arshad, Saman Riaz, Waqas Ahmed

Abstract: In many different fields, recommender systems are essential for helping users find pertinent and personalized material. Traditional recommender systems often underestimate the impact of contextual factors on user preferences. Context-aware recommender systems are a potential method that uses dynamic contextual data to increase recommendation accuracy and user satisfaction. This review paper examines the benefits of context-aware recommender systems in many fields and offers a detailed analysis of these systems. We …

Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 9–19 Read article