International Journal of Embedded Systems and Emerging Technologies
Volume 9, Issue 1 (2023)
Published
Table of contents
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Solar Power Analysis and the Internet of Things
Abstract: This research topic is on Solar Energy and IOTs. The work of Electrical Engineers is to help keep our world running. From the tiny microchips inside our cell phones to large aircraft electrical systems, electrical engineers not only create these devices and navigation systems, but keep them running smoothly. This research topic is carried out keeping in mind the above mentioned thoughts. This paper also talks about the latest technologies …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 1–7 Read article
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Crime Rate Prediction System Using Machine Learning.
Abstract: Crime rate prediction is an important research area that helps law enforcement agencies to take proactive measures to prevent crime. The proposed model uses a combination of historical crime data to predict crime rates.The proposed model uses a supervised learning approach where the crime rate is predicted based on a set of input features. The input features include historical factors such as area, year, crime type. This paper presents various …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 18–27 Read article
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Depression Detection System
Abstract: Traditionally, depression was identified through in-depth clinical interviews, during which the psychologist would analyze the subject’s responses to ascertain his or her mental condition. With the prevalence of depression increasing, some automated and trustworthy methods of depression recognition are needed. Our Objective it to design a model that can extract relevant features automatically as an input using efficient machine learning algorithms and further detect the depressive state of the user …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 28–37 Read article
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Blood Cell Subtype Classification Using Deep Learning
Abstract: A vital component of human bodies is blood. Despite making up only 1% of the human body, blood cells have a greater impact on disease and infection detection. These blood cell subtype classifications also aid in ensuring that patients receive the quickest-acting medical treatment and recover swiftly. To get the findings, many machine learning techniques are used, including the Feature Extraction methods (K* classifier and Decision table) and the Image …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 37–45 Read article
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Online Voting system
Abstract: The purpose of our research paper is to present an online voting system that enables users, candidates, and administrators to participate in online voting with ease and high security. The online portal we propose has a user-friendly and interactive interface, while maintaining a high level of security through unique security features, such as the generation of unique IDs for each user in addition to login IDs and passwords. This allows …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 38–45 Read article
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Diabetic Retinopathy Detection from Retinal Images Using Convolutional Neural Network
Abstract: Diabetic retinopathy (DR) is a popular problem of diabetes and the major reasons of loss of sight in the active inhabitants. Many of the problems of DR can be avoided by blood glucose manage and regular remedy. Since the kinds and the difficulties of DR, it is actually hard for DR detection in the time-consuming regular analysis. This document is to effort towards discovering an automated method to sort out …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 8–17 Read article