A5037805681- Underwater Vehicles and Communication Systems
- Security and Verification in Computing
- Advanced Neural Network Applications
- Chaos-based Image/Signal Encryption
- Cryptographic Implementations and Security
- Indoor and Outdoor Localization Technologies
- Adversarial Robustness in Machine Learning
- Energy Efficient Wireless Sensor Networks
- Neural Networks and Applications
Universidade Federal de Santa Maria
2020-2022
This article provides a comprehensive survey of pioneer and state-of-the-art localization algorithms based on the mobility network. The basic concepts task in wireless sensor network are revisited most common techniques suitable for random reviewed. compiles discusses relevant regarding mobile networks, focusing scenarios where nodes have no control over their hardware restrictions imposed, including recent advances learning-based solutions. It focuses presenting that do not rely human...
The emerging popularity of the Internet Everything makes security an urgent issue, as well need for speed to cipher and decipher any information, which is essential embedded devices. Unlike many works in this field, where propositions considering application specific integrated circuits (ASICs), coprocessors, field-programmable gate arrays (FPGAs) or software were presented alternatives raise efficiency execution, we addressed enhancement instruction set architecture (ISA) taking advantage a...
Artificial Neural Networks (ANNs) have become the most popular machine learning technique for data processing, performing central functions in a wide variety of applications. In many cases, these models are used within constrained scenarios, which local execution algorithm is necessary to avoid latency and safety issues remote computing (e.g, autonomous vehicles, edge devices IoT networks). Even so, known computational complexity still challenge such contexts, as implementation costs...