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Soft robot perception using embedded soft sensors and recurrent neural networks
Science Robotics, 2019 Recurrent neural networks with an unstructured redundant soft sensor topology allow robust multimodal proprioceptive capabilities. Recent work has begun to explore the design of biologically inspired soft robots composed of soft, stretchable materials ...
Thomas George Thuruthel +2 more
exaly +2 more sources
Implicit privacy preservation: a framework based on data generation
Security and Safety, 2022 This paper addresses a special and imperceptible class of privacy, called implicit privacy. In contrast to traditional (explicit) privacy, implicit privacy has two essential properties: (1) It is not initially defined as a privacy attribute; (2) it is ...
Yang Qing +4 more
doaj +1 more source
Multiple Hypothesis Detection and Tracking Using Deep Learning for Video Traffic Surveillance
IEEE Access, 2021 Moroccan Intelligent Transport System is the first Moroccan system that uses the latest advances in computer vision, machine learning and deep learning techniques to manage Moroccan traffic and road violations. In this paper, we propose a fully automatic
Hamd Ait Abdelali +4 more
doaj +1 more source
Self-Supervised Joint Learning Fault Diagnosis Method Based on Three-Channel Vibration Images
Sensors, 2021 The accuracy of bearing fault diagnosis is of great significance for the reliable operation of rotating machinery. In recent years, increasing attention has been paid to intelligent fault diagnosis techniques based on deep learning.
Weiwei Zhang, Deji Chen, Yang Kong
doaj +1 more source
Byzantine-robust federated learning via credibility assessment on non-IID data
Mathematical Biosciences and Engineering, 2022 Federated learning is a novel framework that enables resource-constrained edge devices to jointly learn a model, which solves the problem of data protection and data islands.
Kun Zhai +3 more
doaj +1 more source
Soft Somatosensitive Actuators via Embedded 3D Printing
Advanced Materials, 2018 Ryan L Truby +2 more
exaly +2 more sources
Real-Time Apple Detection System Using Embedded Systems With Hardware Accelerators: An Edge AI Application [PDF]
IEEE Access, 2020 Real-time apple detection in orchards is one of the most effective ways of estimating apple yields, which helps in managing apple supplies more effectively.
Vittorio Mazzia +3 more
semanticscholar +1 more source
Multi-Task Autoencoders and Transfer Learning for Day-Ahead Wind and Photovoltaic Power Forecasts
Energies, 2022 Integrating new renewable energy resources requires robust and reliable forecasts to ensure a stable electrical grid and avoid blackouts. Sophisticated representation learning techniques, such as autoencoders, play an essential role, as they allow for ...
Jens Schreiber, Bernhard Sick
doaj +1 more source
Model checking embedded system designs [PDF]
, 2002 We survey the basic principles behind the application of model checking to controller verification and synthesis. A promising development is the area of guided model checking, in which the state space search strategy of the model checking algorithm can ...
Brinksma, Ed, Mader, Angelika
core +6 more sources
Algorithms, 2023 During an emergency rescue operation, rescuers have to deal with many different health complications like cardiovascular, respiratory, neurological, psychiatric, etc.
Abu Shad Ahammed +2 more
doaj +1 more source