Detecting fake news is currently one of the critical challenges facing modern societies. The problem is particularly relevant, as disinformation is readily used for political warfare but can also cause significant har...
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A dual-band flexible textile antenna with reconfigurability in both frequency and operation mode is presented. The antenna is designed to switch between broadside and omnidirectional modes centered at 2.45 GHz and 3.5...
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In recent years, precision agriculture has attracted a lot of interest as a result of the increasing global population's need for food and water. Therefore, farmers will require To accommodate this demand, there m...
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Considering the carbon footprint of rapidly evolving quantum systems and technologies, it is essential to develop energy efficient and sustainable next generation quantum communication systems. Simultaneous Lightwave ...
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The growing popularity of electric vehicles (EVs) presents a mounting challenge for power system engineers when it comes to integrating them into residential distribution systems. In this paper, a communication-free E...
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Connected and Autonomous Vehicles (CAVs) are becoming a promising solution in Intelligent Transportation Systems (ITS). Despite these advancements, vehicles still use a Controller Area Network (CAN) bus system to comm...
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Matched Field Processing (MFP) and its derivative Matched Mode Processing (MMP) estimates similarity between in-situ measurement and the model-based replica to identify source locations from an array of received signa...
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This research aims to develop a sophisticated floor evenness measurement system for the construction industry, addressing the subjectivity, inefficiency, and labour-intensive nature of current methodologies. A mobile ...
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The rapid expansion of the Internet of Things (IoT) has revolutionized modern life, offering unparalleled automation and seamless interconnectivity between devices, often operating without user intervention. However, ...
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ISBN:
(数字)9798331523268
ISBN:
(纸本)9798331523275
The rapid expansion of the Internet of Things (IoT) has revolutionized modern life, offering unparalleled automation and seamless interconnectivity between devices, often operating without user intervention. However, this convenience comes with a significant trade-off: increased susceptibility of IoT devices to cyberattacks, which can result in severe consequences if not promptly addressed. To tackle this pressing challenge, our study proposes innovative strategies powered by machine learning algorithms, achieving an exceptional 99.97% detection accuracy and a 0.0% false positive rate. Leveraging the Bot-IoT dataset for evaluation, our approach demonstrates marked improvements over existing detection methodologies. Furthermore, its adaptability to diverse IoT applications underscores its potential as a transformative advancement in IoT security.
Sri Lanka's tea business has existed since the 1800s and maintains a high standard worldwide. However, rivalry is increasing as more competitors enter the market, and tea exporters strive to make their operations ...
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