Results 41 to 50 of about 3,542,799 (379)
Neural Controlled Differential Equations for Online Prediction Tasks [PDF]
arXiv, 2021 Neural controlled differential equations (Neural CDEs) are a continuous-time extension of recurrent neural networks (RNNs), achieving state-of-the-art (SOTA) performance at modelling functions of irregular time series. In order to interpret discrete data in continuous time, current implementations rely on non-causal interpolations of the data.
arxiv
Frontiers in Forests and Global ChangeThis paper looks at the incorporation of blockchain and Internet of Things (IoT) technologies into Forest 4.0, a sector that harnesses advanced tools such as artificial intelligence and big data for efficient and sustainable forest monitoring and ...
Robertas Damaševičius +3 more
doaj +1 more source
IEEE Access, 2022 The relentless technology scaling has provided a significant increase in processor performance, but on the other hand, it has led to adverse impacts on system reliability.
Sepideh Safari +8 more
doaj +1 more source
Real-time computing: a new discipline of computer science and engineering
Proceedings of the IEEE, 1994 This paper surveys the state of the art in real-time computing. It introduces basic concepts and identifies key issues in the design of real-time systems. Solutions proposed in literature for tackling these issues are also briefly discussed. >
K. Shin, P. Ramanathan
semanticscholar +1 more source
Sensors, 2022 Distributed Embedded Systems (DESs) carrying out critical tasks must be highly reliable and hard in real-time. Moreover, to operate in dynamic operational contexts in an effective and efficient manner, they must also be adaptive.
Alberto Ballesteros +5 more
doaj +1 more source
Real-Time Accumulative Computation Motion Detectors [PDF]
Sensors, 2009 The neurally inspired accumulative computation (AC) method and its application to motion detection have been introduced in the past years. This paper revisits the fact that many researchers have explored the relationship between neural networks and finite state machines.
Maldonado Bascón, Saturnino +3 more
openaire +5 more sources
FAST-LIO: A Fast, Robust LiDAR-inertial Odometry Package by Tightly-Coupled Iterated Kalman Filter [PDF]
arXiv, 2020 This paper presents a computationally efficient and robust LiDAR-inertial odometry framework. We fuse LiDAR feature points with IMU data using a tightly-coupled iterated extended Kalman filter to allow robust navigation in fast-motion, noisy or cluttered environments where degeneration occurs.
arxiv
Compact manifolds with computable boundaries [PDF]
Logical Methods in Computer Science, Volume 9, Issue 4 (December
11, 2013) lmcs:891, 2013 We investigate conditions under which a co-computably enumerable closed set in a computable metric space is computable and prove that in each locally computable computable metric space each co-computably enumerable compact manifold with computable boundary is computable.
arxiv +1 more source
Population Ecology, EarlyView.This study examines the demographic dynamics of two seabird populations on Tromelin Island, 15 years after the eradication of brown rats. The results indicate that these populations are in good health and are expected to continue growing until breeding sites are saturated in about a century.
Merlène Saunier +6 more
wiley +1 more source
Real-time respiratory motion prediction using photonic reservoir computing
Scientific Reports, 2023 Respiration induced motion is a well-recognized challenge in many clinical practices including upper body imaging, lung tumor motion tracking and radiation therapy.
Zhizhuo Liang +3 more
doaj +1 more source