Technical institutes
Research published by Suranaree University of Technology in collaboration with other institutions has proposed a secure and scalable architecture for remote health monitoring systems that integrate telemedicine technology with the Internet of Things (IoT). The study aimed to alleviate the challenges associated with hospital congestion and the shortage of medical
Technical institutes
Researchers at the Vellore Institute of Technology in India have developed a new method for detecting cyber threats in industrial Internet of Things (IoT) systems, achieving an accuracy of 99.86% and 99.62% on two different datasets. The proposed framework uses a lightweight hybrid deep learning algorithm to identify
Technical institutes
Research on cybersecurity has resulted in a new approach to detecting anomalies in internet of things (IoT) networks. The study, led by researchers at National Institute of Technology Patna, proposes an intelligent-computing-based time series intrusion detection system that utilizes data augmentation, signal transformation, and deep learning methods. The system aims
Machine learning
Researchers at Kafr El-Shaikh University in Egypt have developed an efficient IoT-based framework for predicting crop damage in smart agricultural systems. The framework uses Internet of Things (IoT) sensor data and advanced machine learning and ensemble learning techniques to predict crop health status. The primary objective of the framework is
Machine learning
A new research study has demonstrated the effectiveness of a hybrid-powered dryer in reducing the weight, moisture content, and microbial load of Ganoderma lucidum mushrooms. The system, which incorporates an Internet of Things (IoT) platform, enables real-time monitoring of temperature, time, and humidity. Researchers from Rajamangala University of Technology Lanna
Machine learning
Researchers from Hunan University of Arts and Science have developed a novel approach to intrusion detection in the Industrial Internet of Things (IIoT) by combining blockchain technology and machine learning. This innovative solution aims to address cybersecurity threats and unauthorized access in IIoT environments. The proposed system leverages the benefits
Technical institutes
Researchers from King Mongkut's University of Technology North Bangkok have made new discoveries in the field of environmental factors, specifically focusing on hydroponic cultivation. The study emphasizes the importance of nutrient solution flow rate in plant growth, concluding that a holistic approach is necessary to understand the mechanisms
Technical institutes
Research from Manipal Institute of Technology has highlighted the potential of integrating advanced automation and the Internet of Things (IoT) in precision agriculture to enhance sustainable crop development and monitoring techniques. The study explores key components required for IoT-based smart farming, emphasizing the role of IoT in enhancing agricultural sensing
Machine learning
Researchers at Al-Balqa' Applied University have proposed a novel approach to enhancing the cybersecurity of Internet of Things (IoT) devices through machine learning-based penetration testing. The study, published in the Applied Computer Science journal, builds on the concept of the BDI (Belief-Desire-Intention) model, which is used to simulate human-like
Technical institutes
Research from the Dalian University of Technology in China has led to a new study on Mathematics, where a team of engineers designed a UAV-ISAC assisted IoT system to sense and acquire information from IoT devices in complex environments. This system utilizes Integrated Sensing and Communications (ISAC) technology, which is
Machine learning
New research conducted by the University of Jeddah has yielded promising results in the field of Machine Learning, specifically in the development of a smart deep learning model for enhanced IoT intrusion detection. The study aimed to address the limitations of existing approaches in processing large volumes of data and
Machine learning
Researchers from Universiti Kebangsaan Malaysia have developed a novel tri-band Multiple Input Multiple Output (MIMO) antenna module that employs metamaterial (MTM) technology to enhance performance. The compact antenna module, measuring 36 x 36 x 1.6 mm, operates at 3.5 GHz, 5.2 GHz, and 28 GHz and shows
