All articles
117 articles
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Enhancing Glaucoma Detection with Convolutional Neural Networks: A Data-Driven Approach
Abstract: One of the main causes of irreversible blindness is glaucoma, which is characterized by certain alterations in the optic nerve that over time can impair vision. Manual evaluations, while invaluable, are challenged by inconsistencies, subjectivity, and the extensive time required. The study employed a dataset comprising retinal images annotated by experts. By using Convolutional Neural Networks (CNNs) to study and recognize important patterns in eye images, it was possible to …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 1–6 Read article
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A Comparative Study of Load Balancing Algorithms: Static Approaches vs. Real-time Adaptation
Abstract: Pay-per-use cloud computing offers scalable IT resources over the internet, making it a major paradigm in distributed computing. Because of its adaptability, it has been quickly adopted by various industries, which has accelerated the growth of data centers. In cloud computing, load balancing is essential for improving system performance, cutting down on execution times, and making the best use of available resources. This study investigates the effects of several load-balancing …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Comprehensive Systems Review for Accident Detection, Prevention, and Real-Time Alerting Mechanisms
Abstract: The growth of technology and infrastructure at a rapid pace has made our lives easier. The increased frequency of road accidents and possible traffic dangers brought about by newer technologies has resulted in a significant loss of life and property due to inadequate emergency facilities and preventive measures. The greatest hazard to human life is traffic accidents. High speeds combined with intoxication are the main causes of many accidents. Vehicle …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–4 Read article
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CNN-Based Traffic Sign Recognition with Voice Alerts
Abstract: Traffic sign recognition is a crucial component of intelligent transportation systems, significantly enhancing road safety by aiding both autonomous and human drivers. This paper presents a convolutional neural network-based traffic sign recognition system integrated with voice alerts. Our approach utilizes a deep learning model trained on a comprehensive dataset of traffic signs to accurately identify various road signs in realtime. Upon recognition, the system issues corresponding voice alerts to inform …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article
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Digital Revolution in Indian Agricultural Marketing by “Agrivault”
Abstract: “Agrivault”, is an app developed as a solution to the pressing challenges faced by Indian farmers in the realm of agricultural marketing. As the agriculture sector is the backbone of India's economy, Agrivault endeavors to address inefficiencies in traditional marketing systems by incorporating modern digital technologies. The work aims to bridge the gap between storage providers and farmers, mitigating losses and enhancing economic viability for agricultural stakeholders. Key features of …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–7 Read article
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AI-Based Fraud Detection in Financial Transactions
Abstract: Financial fraud continues to pose a severe danger to individuals, businesses, and the global economy, necessitating the development of effective and innovative detection and prevention approaches. This research study examines the use of artificial intelligence (AI) techniques to detect fraudulent conduct in financial transactions. This paper investigates the advancements, challenges, and courses of AI-based fraud detection in financial transactions through a thorough examination of the research, case studies, and practical …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 1–9 Read article
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The Profound Impact of Virtual Communication Technologies on Team Collaboration in the Contemporary Work Environment
Abstract: The contemporary work environment is undergoing a paradigm shift propelled by globalization and technological advancements. This research investigates the profound impact of virtual communication technologies on team collaboration, exploring the implications for organizational dynamics, productivity, and structure. Through an exhaustive review of literature, case studies, and empirical evidence, this study endeavors to unveil the challenges and opportunities arising from the integration of virtual communication tools in today's workplace. Examining the …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 45–60 Read article
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Maculopathy Detection and Recommendation using Machine Learning
Abstract: Maculopathies, a diverse group of eye diseases affecting the central portion of the retina, the macula, are a leading cause of vision loss globally. Early detection and accurate diagnosis are critical for timely intervention and preventing irreversible vision loss. However, traditional methods such as manually detecting the disease are time-consuming, tiring, and often lack sensitivity and specificity, hindering optimal patient care. Here we delve into the applications of machine learning …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 10–16 Read article
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Plotting Precision: Exploring the Capabilities of XY Plotters in Modern Research
Abstract: An XY Plotter machine is proposed in this paper to produce precise and consistent graphical output for customers. It consists of two axis which are perpendicular to each other, each axis has a motorized carriage that moves independently. The precision and accuracy of the axis arm movement allow it to produce detailed drawings, graphs, and diagrams. XY Plotter fulfills the industry’s demand for accuracy and precision. The XY plotter is …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 17–26 Read article
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Automated Garbage Bin Monitoring: An Embedded System Approach
Abstract: Most cities today are faced with challenges of garbage management which are brought about by indiscriminate damping by the inhabitants. This has led to littering of garbage in the community hence, unhealthy living conditions. Such littering of garbage also leads to the spread of diseases. Currently, municipal authorities are unable to sufficiently respond and collect the garbage due to constraints like the lack of a notification system to remind them …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 27–44 Read article
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Enhancing Telemedicine Services in Disaster Recovery Operations with Sustainable Communication Infrastructure
Abstract: This paper tackles the complex challenge of ensuring reliable telemedicine services in disaster zones by proposing a self-sustaining Disaster Recovery Network (DRN) infrastructure. We present a blend of innovative methods and algorithms to overcome logistical hurdles in establishing an eco-friendly DRN. Our work delves deep into the system's inner workings, pinpointing key performance indicators and measuring its effectiveness. A central theme is the seamless integration of diverse reliability approaches. In …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 43–59 Read article
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Analyzing Crowds with Deep Learning: A Review of Methods and Challenges
Abstract: With the growing population, the need for an effective crowd management tool emerged. It is important to monitor and analyze unusual crowd movements and behavior for many applications such as peaceful events, protests, gatherings, or traffic management. Current systems, such as video surveillance, are a useful technique for crowd monitoring, but they require human visual capabilities to monitor the crowd. This work is a paper on Crowd Analysis using convolution …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 30–42 Read article
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Beyond the Classroom: Harnessing the Power of Android for Early Childhood Education Development
Abstract: The point of this inquiry is to address, like, you know, the issue of more prosocial behavior in children, both at domestic and in open spaces. This was distinguished through, like, perceptions and interviews with guardians, who, you know, accept that the need of their interest in their children’s prosocial improvement is, like, due to their restricted understanding. To progress, like, early childhood prosocial behavior, we created an Android-based Early …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 22–29 Read article
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COVID-19 Detection Using Decision Tree Support Vector Machine Random Forest.
Abstract: The rapidly spreading novel coronavirus (SARS-CoV-2) presents a substantial global health risk, necessitating swift detection through efficient diagnostic methods. Reports highlight lung-related issues in many COVID-19 patients, and both chest CT scans and X-rays are effective in identification. Chest X-ray (CXR) imaging, due to its convenience, faster imaging, simplicity, and lower cost, stands out. In our study, we applied Decision Tree, Random Forest, and Support Vector Machine to identify COVID-19 …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 7–21 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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Speech Recognition-Controlled Car Using Arduino-UNO
Abstract: The IoT (Internet of Things) based voice-controlled car is a revolutionary concept that combines the power of connectivity and voice recognition technology to enhance the driving experience. This system allows users to control various aspects of a car using voice commands, making it convenient and hands-free. Users can interact with the car from anywhere using their smartphones via Bluetooth. This project demonstrates how to build a voice-controlled robotic car with …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 1–6 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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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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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