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107 results for “Internet of Things”
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Research ArticleOpen accessIn the keywordsAutomated Fall Armyworm (Spodoptera frugiperda, J.E. Smith) Pheromone Trap Based on Machine LearningSimon H. Chiwamba, Jackson Phiri, Philip O.Y. Nkunika et al.Maize is the main food crop that meets the nutritional needs of both humans and livestock in the sub-Saharan African region. Maize crop has in the recent past been threatened by the fall armyworm (Spodoptera frugiperda, J.E Smith) which has caused considerable maize yield losses in the region. Controlling this pest requires knowledge on the time, location and extent of … …Journal of Computer Science, Vol. 15, Issue 12 · 19 Dec 2019 · 8,364 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Proposed Framework for Reducing Electricity Consumption in Smart Homes using Big Data AnalyticsMira Tamer Shaker, Ayman E. Khedr, Sherif KholeifSmart homes with smart technologies can provide better insights into saving energy and improving the quality of our life. All connected appliances are Internet of Things (IoT) devices that support applications inside a smart home which produce an amount of data that shows what households are doing during their daily life. IoT and Big Data Analytics (BDA) became the most … …Journal of Computer Science, Vol. 15, Issue 4 · 26 Apr 2019 · 8,100 accessesView PDFCite
Review ArticleOpen accessIn the keywordsBlockchain: Methods, Applications and Technology ProgressCheryl Ann Alexander, Lidong WangBlockchain is gaining great attentions in various applications. Blockchain is a shared ledger concept which is highly secure due to the nature of its construction. It is immutable, needs a consensus to add a block to the chain, is held secure by a hash function and is visible to all participants within the blockchain. The methods, impacts and benefits of … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 1 · 2 Feb 2019 · 8,443 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBasma: An Interactive IoT-Based Plush Toy for Arabic-Speaking ChildrenHend S. Al-Khalifa, Hadil R. Faisal, Shuhd M. Rushdi et al.A toy is an item mainly intended for children to play with. However, due to its important role in child development, it has evolved to encompass sophisticated educational and learning characteristics. Toy industry has evolved to provide these needs as digital interactive smart toys. Interactive toys combine traditional toys with additional computing capabilities using software and hardware components. This paper … …Journal of Computer Science, Vol. 14, Issue 11 · 7 Nov 2018 · 7,787 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Comparative Analysis of Network Management Protocols in IoT ApplicationsLevi Costa Mota, Edward David Moreno, Admilson Lima Ribeiro, Ricardo J.P.B. SalgueiroThe complexity and growth of new smart objects networks are generating a new demand for the maintenance of these devices, with the need to remotely monitor and control these devices without consuming significant resources. Analyzing the memory and electric power consumption of the protocols used in the management of these networks is a way to highlight the best protocol alternatives … …Journal of Computer Science, Vol. 14, Issue 9 · 27 Sep 2018 · 7,821 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIOT Based Green House Monitoring SystemTinu Anand Singh, J. ChandraWith industrialization and continuously evolving climatic conditions, the urge to practice agriculture with the fusion of technology has become a necessity. In the era of Internet of Things where all eyes are witnessing the evolution of machine to machine interaction, there is also a lack of clarity in considering the type of protocol to be used in building a particular … …Journal of Computer Science, Vol. 14, Issue 5 · 13 Feb 2018 · 9,330 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDevelopment of a Hybrid Power Module for Mobile Wireless Sensor Networks: Towards a Livestock Tracking and Identification SystemMolaletsa Namoshe, Oduetse Matsebe, Obakeng MaphaneSmart technology and Internet of Things (IoT) applications have gained popularity in the development of agricultural systems with Wireless Sensor Networks (WSNs) increasingly becoming the building blocks for IoT applications. However, WSNs have a limited power supply. As a result, these systems have a short lifespan, limited memory and low computing power. This paper describes the development of a hybrid … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 23 Oct 2017 · 7,764 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAN IN-DEPTH ANALYSIS ON INTEGRATING CAMPUS RADIO FREQUENCY IDENTIFICATION SYSTEM ON CLOUDS FOR ENHANCING SECURITYZainabRasheed Mirza, Muhammad Nawaz BrohiSeveral measures had been taken to ameliorate security technology at campuses using latest technologies available. Radio Frequency Identification (RFID) technology in campuses is mainly used for recording attendance which is further extended to activity monitoring and individual security. This research paper proposes a framework of RFID integrated solution for enhanced campus IT security including human, campus IT asset traceability, student’s … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,950 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Scalable Hybrid CNN-LSTM and SDN Based Architecture for Real-Time DDoS Defence in IoT and Cloud NetworksSujit Sutradhar, Joy Lal Sarkar, Rajesh Kumar VermaDistributed Denial-of-Service (DDoS) is one of the most significant threats to the security of IoT, cloud, and Software-Defined Network (SDN) environments because it can aggravate network unavailability and disrupt the continuity of services. This study presents a hybrid CNN-LSTM-based DDoS detection and mitigation system for real-time DDoS detection in the context of heterogeneous network environments, which is integrated with SDN … …Journal of Computer Science, Vol. 22, Issue 10 · 19 Oct 2026 · 508 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMulti-FOM: A Unified Multimodal Deep Learning Framework for Intelligent Pre-Harvest Papaya Classification and Crop ValorisationSovers Singh Bisht, Sanjeev Thakur, Sanjeev PanwarIntelligent pre-harvest crop assessment has become an essential component of precision agriculture, where accurate crop quality evaluation enables informed decision-making and sustainable crop management. However, existing multimodal frameworks often exhibit limited data diversity and insufficient cross-modal semantic interaction, reducing the reliability of intelligent crop valorisation. Address these limitations, this paper proposes a Multimodal Focal-Mamba Optimized Valorisation Model (Multi-FOM), a unified … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 670 accessesView PDFCite