All articles

Published Subscription 13 Mar 2023

Students' and Faculty Members' Attitudes Toward Science at Urban and Rural Colleges and Universities

By Mohammad Asif Pasha

Abstract: Identifying and cultivating a favourable attitude toward science among student instructors is critical. Instructors, student teachers, and students at all levels of education should be encouraged to have a positive attitude toward science. Currently, this is an urgent need. This study examines the attitudes of student instructors toward science in relation to their college's location. Students in Hyderabad's Revenue district are included in the study's sample of 1080. Data was …

Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 38–42 Read article

Published Subscription 10 Mar 2023

Health Care System Analysis Using Different Datasets

By Sejal Jain, Sonam Gour, Sanjivani Sharma, Saloni Agarwal, Shrishti Agarwal

Abstract: In this research work, we have discussed data science and various machine learning algorithms like KNN, Support Vector Machine, Artificial neural network, Random forest etc. and the results obtained from these algorithms which can be used for the prediction of heart disease, cancer and in many other fields of medical science. Requirement of data cleaning along with various methods of data cleaning are mentioned here, along with these various issues …

Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 29–37 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 7 Mar 2023

Genre Classification of Music Using Machine Learning

By Partha Ghosh, Soham Mahapatra, Subhadeep Jana, Ritesh Kr. Jha

Abstract: One of the most important technological advances of the 21st century is artificial intelligence (AI) and machine learning. They are revolutionizing computers, banking, healthcare, agriculture, music and travel. A strong model has mastered many difficult learning tasks. Speech analysis is one area of artificial intelligence. This includes finding information about music, creating music, and categorizing music. Music data is one of the most complex source data available today. This is …

Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 17–28 Read article

Published Subscription 3 Mar 2023

Classification and Detection of Cabbage Leaf Diseases from Images Using Deep Learning Methods

By Myna A.N., Manasvi K., Pavan J.K., Rakshith H.S., Yuktha D. Jain

Abstract: The presented work uses Deep learning methods to detect diseases in cabbage leaves. To avoid a reduction in agricultural product yield, disease diagnosis in plants is crucial. Manual plant disease monitoring is challenging and time-consuming at every stage. Five major types of diseases are considered. Initially, the input images are classified as healthy and diseased. Further, the diseased images are classified into five different varieties. Early and precise biotic stress …

Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 23–32 Read article

Published Subscription 21 Feb 2023

Soft Computing Techniques for the Integration of Distributed Energy Resources (DERs)

By Sheetal S. Patil, Suhas H. Patil, Avinash M. Pawar, Mrunal Bewoor, Netra S. Patil

Abstract: One of the most attractive uses of AI in the energy sector is the integration of Distributed energy resources. Distributed energy resources relate to grids, the more complex energy networks are becoming for utilities to operate and manage. Mechanisms such as load and generation forecasting, demand response, power quality management, and voltage regulation, which have traditionally been used to manage DERs and the grid, are not sufficient. This is where …

Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 1–16 Read article

Published Subscription 16 Nov 2022

Deep Learning in Medical Image Classification and Object Detection: A Survey

By Priyanka Gupta, Shikha Gupta

Abstract: Deep learning methods have demonstrated superior performance in the area of computer vision, speech recognition, natural language processing, healthcare, and many more. Convolutional neural networks (CNNs) are a class of deep learning methods that have the ability to learn from raw data available as images, audio, or text. CNNs have become a powerful tool for variety of pattern recognition tasks due to the availability of abundant data and GPU-based training. …

Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 1–15 Read article