Research & Reviews: A Journal of Embedded System & Applications

Computer/IT ISSN 2395-6712 3 issues a year Hybrid open access

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About the journal

Research & Reviews: A Journal of Embedded Systems & Applications is a peer-reviewed hybrid open-access journal launched in 2013 focused on the publication of all the research/review work carried out under Embedded Systems & Technology. This journal covers all major fields of applications in Embedded Systems.

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  • 36Articles published
  • 1Published in 2026
  • 122Authors
  • 2Open access

Journal information

Title
Research & Reviews: A Journal of Embedded System & Applications
Issues per year
3 issues
ISSN
2395-6712
Publisher
STM Journals
DOI
10.37591/RRJoESA
Starting year
2024
Subject
Computer/IT
Publication format
Hybrid open access
Language
English
Type
Peer-reviewed journal (refereed)

Indexed in

Editorial board

  • Editor-in-Chief

    Dr. Mehul Patel

    Computer Science, THE CVM UNIVERSITY, S.G.M. ENGLISH MEDIUM COLLEGE OF COMMERCE AND MANAGEMENT, India

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Latest articles

  • Published Subscription Review Article

    IoT Based Home Automation System using ESP8266 & Google Assistant

    Abstract: This research paper discusses a smart home automation system When the Internet of Things is implemented, a simple house can be converted into a smart home with better automation and security. This paper aims to create a voice/text- controlled home application that will help users control their appliances remotely. Switching appliances ON or OFF as per their requirements by just sending text SMS instructions or voice commands. Even if the …

    Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 Read article

  • Published Subscription Review Article

    Depression Detection Using AI with Chatbot Support

    Abstract: Depression is a major global health concern and a significant contributor to suicide rates worldwide. India reports a high number of suicide cases, making the early detection of mental distress and depression essential for timely intervention. This research presents an AI-based system for depression detection that integrates deep learning, natural language processing (NLP), and a chatbot for user support. The system analyzes facial expressions using convolutional neural networks (CNNs) and …

    Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 01–08 Read article

  • Published Subscription Review Article

    VERONICA: AI-Driven Edge System for Comprehensive Bike Safety and Assistance Through Multi-Source Data Fusion

    Abstract: Road safety for bike riders remains a significant concern, with accident rates highlighting the need for advanced solutions to ensure rider protection and awareness. This paper presents “VERONICA: AI-Driven Edge System for Comprehensive Bike Safety and Assistance Through Multi-Source Data Fusion”, a voice-activated, continuously operating assistance system designed to provide real-time, intelligent solutions for various riding scenarios. VERONICA integrates accident detection, low-traffic route navigation, traction control advisories, and weather updates …

    Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 09–17 Read article

  • Published Subscription Review Article

    Solar Grow Net: Autonomous Greenhouse Monitoring and Control System

    Abstract: This paper presents the development of an IoT-based, solar-powered greenhouse monitoring and control system designed to optimize environmental conditions for plant growth. The system uses multiple sensors to measure parameters such as temperature, humidity, soil moisture, air quality, and light intensity. Based on sensor readings, actuators including water pumps, fans, and lighting systems are automatically triggered to maintain ideal growing conditions. An ATmega328 microcontroller controls the entire system, while solar …

    Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 3, 2025 Read article

  • Published Subscription Review Article

    Smart Waste Management System Using IoT and KNN

    Abstract: Smart Cities are being developed with the goal of providing a comfortable living environment for humans. One of the services these cities will offer is eco-friendly waste collection and processing. This study proposes an Internet of Things (IoT)-based system architecture designed to enable dynamic waste collection and delivery to processing plants or designated waste disposal sites. Traditionally, waste collection was managed in a relatively static manner using conventional operations research …

    Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 3, 2025 · pp. 42–46 Read article

  • Published Subscription Original Research

    Smart Crop Recommendation Using IoT Sensor for Precision Agriculture

    Abstract: This study addresses precision agriculture, which leverages modern technologies to enhance farming efficiency and sustainability. This study proposes a Smart Crop Recommendation System using IoT sensors to optimize crop selection based on real-time environmental conditions. The system integrates multiple sensors, including a temperature sensor, flame sensor, soil sensor, moisture sensor, and LDR sensor, to monitor crucial parameters such as temperature, soil moisture, light intensity, and fire hazards. An Arduino microcontroller …

    Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 3, 2025 · pp. 29–41 Read article

  • Published Subscription Review Article

    Reviewing the Latest Developments in Wearable Electronics: Sensors, Energy Management, and Health Monitoring

    Abstract: The realms of medical treatment, fitness tracking, and personalised monitoring have all been revolutionised by substantial recent breakthroughs in wearable electronics. With an emphasis upon sensors, energy management, and health monitoring, this abstract offers a summary of the most recent advancements in wearable electronics. The review includes studies from a variety of research fields, such as tracking the health of plants, remote health monitoring for diabetic patients, soft and wearable …

    Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 3, 2025 · pp. 13–18 Read article

  • Published Subscription Review Article

    Accident Avoidance and Crash Detection Using GSM and GPS

    Abstract: The Accident Avoidance and Crash Detection system is designed to enhance vehicle safety by utilizing real-time accident detection, speed tracking, and automated crash prevention mechanisms integrated with GSM and GPS technologies. The system incorporates an accelerometer to identify abrupt changes in acceleration, indicating a potential collision. Upon detecting an accident, the system automatically transmits an alert message with the vehicle's GPS location to a designated mobile number using GSM technology, …

    Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 3, 2025 · pp. 01–12 Read article

All 36 articles in this journal →

Ahead of print

Accepted and online before they are assigned to an issue.

  • Published Ahead of print Subscription Mini Review

    Surveillance Car Using ESP32 CAM with Tilt, Pan, and Zoom Capabilities

    Abstract: This project focuses on developing a mobile surveillance robot using a Wi-Fi-enabled module controlled via a smartphone, designed for discreet observation and remote monitoring. The spy robot system includes essential hardware such as a camera, motor drivers, batteries, and wheels for movement. The main component is the AI Thinker ESP32-CAM module, equipped with an ESP32-S processor and OV2640 camera, capable of image storage through its microSD card slot. Live video …

    Published in Research & Reviews: A Journal of Embedded System & Applications Read article

  • Published Ahead of print Open access Article

    Power Estimation Approach for Artix 7 FPGA using Machine Learning Technique

    Abstract: This paper presents the power estimation approach using a suitable machine learning technique. Artix7 FPGA has been chosen as the target FPGA (Field Programmable Gate Arrays) platform for understanding the methodology of power estimation. There are various approaches of power estimation for FPGAs that have been given in the literature viz. probabilistic, statistical, and LUT- based, etc. In the past few years, the demand for hand-handled devices like smartphones, tabs, …

    Published in Research & Reviews: A Journal of Embedded System & Applications Read article

  • Published Ahead of print Open access Article

    Arduino-Based Embedded-Software for Offline and Web-Based Attendance System

    Abstract: Embedded software originally controlled hardware but algorithm and software developed determine mode of control and action expected of the hardware. Arduino hardware microcontroller board called Arduino UNO is one of the best electronics boards with coding these days while many attendance systems developed today are mostly one-way. Many developing and underdeveloped countries cannot guaranty 24/7 electricity and strong network connection or data for fully online attendance system. Based on this …

    Published in Research & Reviews: A Journal of Embedded System & Applications Read article

Archive on its own page →

Volume 14 (2025) 3 articles

Volume 13 (2025) 15 articles

Volume 12 (2024) 15 articles

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