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76 articles for “IoT System”
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Research ArticleOpen accessIn the abstractAdafruit IO Based Smart Irrigation System using MQTT Protocol for Urban FarmingDevesh Mishra, Prakhar Yadav, Vandana Yadav et al.Freshwater is needed for irrigation and nutrient supply to plants to make up for the lack of rainfall. Agricultural activities consume more than 70% of the available freshwater. This emphasizes the importance of responsible management of water for irrigation using smart Internet of Things (IoT) based agricultural practices combined with irrigation-related technologies The purpose of this research article is to … …Journal of Computer Science, Vol. 18, Issue 5 · 23 May 2022 · 6,901 accessesView PDFCite
Review ArticleOpen accessIn the abstractMaintenance and Evolution Processes of Embedded Software: A Systematic Literature ReviewAloysio Augusto Rabello de Carvalho, Luiz Eduardo Galvão MartinsThe relevance of embedded systems has increased considerably due to industrial automation and the adoption of IoT and medical devices. This process demands the adaptation of software engineering techniques that involve the maintenance and evolution of software for use in embedded systems. We conducted this Systematic Literature Review (SLR) to investigate the state of the art on the topics of … …Journal of Computer Science, Vol. 21, Issue 7 · 17 Jul 2025 · 3,750 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Feature Extraction Dual DCT-DWT Image Watermarking Combined with Chaos-Based CryptosystemKumari Rinki, Pushpneel Verma, Tanupriya Choudhury, Bhupesh Kumar SinghAs a result of the emerging technologies such as Internet-of-Things (IoT), data analysis and automation in many aspects of identity, watermarking has become increasingly important. A majority of prior systems focused on watermark embedding and recovery techniques for binary and grey-scale images in one specified region of the cover image, making the system less dependable. This study develops a novel … …Journal of Computer Science, Vol. 17, Issue 10 · 13 Nov 2021 · 6,098 accessesView PDFCite
Research ArticleOpen accessIn the abstractIAFIR Optimization against NOMA Competitors: A Comprehensive Analysis on Energy-Efficient Non-Orthogonal Multiple AccessS. Pavithra, S. ChitraThe ever-growing demands of next-generation wireless networks necessitate the exploration of innovative technologies to enhance spectral efficiency, user experience and network performance. Non-Orthogonal Multiple Access (NOMA) has emerged as a promising candidate, offering the potential for increased capacity and improved system reliability. NOMA allows multiple users to share the same time-frequency resource, breaking away from traditional orthogonal access methods. In … …Journal of Computer Science, Vol. 20, Issue 8 · 31 May 2024 · 5,056 accessesView PDFCite
Review ArticleOpen accessIn the abstractLeveraging Artificial Intelligence and Other 4IR Technologies for Driving Education 4.0 in South Africa: A Scoping StudyEmmanuel Adetiba et al.The advent of the fourth Industrial Revolution (4IR) has impacted human life across many disciplines including healthcare, agriculture, telecommunication, manufacturing, education etc. It is characterized by cyber physical systems thus enabling automation of processes, in which devices can autonomously communicate. Some of the technologies that drive 4IR include Artificial Intelligence (AI), Internet of Things (IoT), big data, drone technology, robotics … …Journal of Computer Science, Vol. 22, Issue 7 · 9 Jul 2026 · 1,685 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntrusion-Resistant Multi-Hop Communication Protocol for Secure Wireless Sensor NetworksRakesh Ranjan, Vaishali Singh, Hitendra SinghModern Internet of Things (IoT) systems are based on Wireless Sensor Networks (WSNs), which can be distributed to various environments to perform a range of sensing and data aggregation. Their intrinsic deficiencies in computation, energy, and bandwidth, however, make them very vulnerable to routing-layer attacks like black hole and selective forwarding as well as Sybil intrusion. The current studies on … …Journal of Computer Science, Vol. 22, Issue 6 · 1 Jul 2026 · 943 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Literature Review on Data Integration: Issues, Data Types, ArchitectureMimi Haryani Tasani, Mohd Kamir YusofData integration is an important process that enables organizations to merge data from various sources, creating a consolidated viewpoint that supports better decision-making, increased effectiveness, and deeper insights. Although data integration has advantages, it also comes with difficulties like maintaining data quality, adhering to compliance regulations, resolving technical issues, and merging with older systems. Effective management of data quality, robust … …Journal of Computer Science, Vol. 22, Issue 2 · 18 Feb 2026 · 1,815 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystematic Literature Review of Graph Neural Networks in Disaster Management: Methods, Applications, and Future DirectionsSularno, Wendi Boy, Putri Anggraini et al.The increasing frequency and complexity of natural disasters underscore the urgent need for intelligent systems that support timely and effective decision-making. Graph Neural Networks (GNNs) have emerged as a powerful deep-learning paradigm for modeling spatial and relational data, offering distinct advantages for disaster management. This study presents a Systematic Literature Review (SLR) of GNN-based approaches for disaster mitigation, emergency response, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,043 accessesView PDFCite
Review ArticleOpen accessIn the abstractAI-Driven Innovations in Meat Quality and Safety: Applications, Challenges, and Future DirectionsEmrobowansan Monday IdamokoroArtificial Intelligence (AI) is revolutionizing the meat sector by improving efficiency, accurateness, as well as sustainability in meat production, quality evaluation, and safety control. The conventional systems of meat inspection, handling, and processing are usually time consuming, labour-intensive, prone to contamination during handling and often susceptible to human errors. The use of artificial intelligence to drive technologies, including Deep Learning … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 28 Jan 2026 · 3,686 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Comprehensive Review on Internet of Things (IoT) and its Implications in the Mining IndustryFatemeh Molaei, Elham Rahimi, Hossein Siavoshi et al.The integration of computer-based technologies interacting with industrial machines or home appliances through an interconnected network, for teleoperation, workflow control, switching to autonomous mode, or collecting data automatically using a variety of sensors, is known as Internet of Things (IoT). When applied inside an industrial context, it is possible to immediately benefit from the analytics obtained, contributing to process optimization, … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 3 Sep 2020 · 14,168 accessesView PDFCite