Results 11 to 20 of about 206,539 (199)
Evaluation and Selection Models for Ensemble Intrusion Detection Systems in IoT
Using the Internet of Things (IoT) for various applications, such as home and wearables devices, network applications, and even self-driven vehicles, detecting abnormal traffic is one of the problematic areas for researchers to protect network ...
Rubayyi Alghamdi, Martine Bellaiche
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IoT Composer: Composition and Deployment of IoT Applications [PDF]
The Internet of Things (IoT) consists of interconnected physical devices and software components. These connected things or objects exchange information in order to provide an end-user service. To fulfil this objective, such applications have to be designed by composing existing objects.
Krishna, Ajay+4 more
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A Survey on Theories and Applications for Self-Driving Cars Based on Deep Learning Methods
Self-driving cars are a hot research topic in science and technology, which has a great influence on social and economic development. Deep learning is one of the current key areas in the field of artificial intelligence research.
Jianjun Ni+5 more
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Identification of IoT Actors [PDF]
The Internet of Things (IoT) is a leading trend with numerous opportunities accompanied by advantages as well as disadvantages. Parallel with IoT development, significant privacy and personal data protection challenges are also growing. In this regard, the General Data Protection Regulation (GDPR) is often considered the world’s strongest set of data ...
Suada Hadzovic+2 more
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Internet of Things IoT: IoT in Healthcare [PDF]
IoT is a modest way to elevate our production and yield with the help of internet. We can supervise and control and communicate with the help of internet. Internet Of Things imagines a future physical and digital entities are to be linked by proper information and communication technologies which will sanction new class of applications and services. In
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This book, Internet of Things (IoT) and Its Applications," aims to provide a comprehensive exploration of the various facets of IoT, from its historical development to its current applications and future prospects. Understanding the Evolution of IoT: The journey begins with an insightful overview of the Internet of Things, tracing its ...
Dr. Nitesh Sureja+3 more
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RL-IoT: Reinforcement Learning to Interact with IoT Devices [PDF]
Our life is getting filled by Internet of Things (IoT) devices. These devices often rely on closed or poorly documented protocols, with unknown formats and semantics. Learning how to interact with such devices in an autonomous manner is the key for interoperability and automatic verification of their capabilities.
Milan, Giulia+3 more
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Secure Adaptive Context-Aware ABE for Smart Environments
Predicting context-aware activities using machine-learning techniques is evolving to become more readily available as a major driver of the growth of IoT applications to match the needs of the future smart autonomous environments.
Saad Inshi+3 more
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Convolutional Neural Network-Based Low-Powered Wearable Smart Device for Gait Abnormality Detection
Gait analysis is a powerful technique that detects and identifies foot disorders and walking irregularities, including pronation, supination, and unstable foot movements.
Sanjeev Shakya+2 more
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Achieving Ethical Algorithmic Behaviour in the Internet of Things: A Review
The Internet of Things is emerging as a vast, inter-connected space of devices and things surrounding people, many of which are increasingly capable of autonomous action, from automatically sending data to cloud servers for analysis, changing the ...
Seng W. Loke
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