Results 101 to 110 of about 278,943 (296)
Ion beam analysis based on cellular nonlinear networks [PDF]
, 2011 The development of a non- destructive measurement method for ion beam parameters has been treated in various projects. Although results are promising, the high complexity of beam dynamics has made it impossible to implement a real time process control up
Ratzinger, Ulrich +7 more
core +2 more sources
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Advanced Science, EarlyView.Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
CNN-BiLSTM prediction (1,000).
, 2019 CNN-BiLSTM prediction (1,000).
Ruixiong Ma (7866257) +2 more
core +1 more source
Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers
Advanced Science, EarlyView.FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao +9 more
wiley +1 more source
Dr Manal Mohammed for CNN on how often you should wear your clothes without washing them
, 2023 Mohammed, M.
core +4 more sources
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 This paper proposes a novel object detection framework named Grid R-CNN, which adopts a grid guided localization mechanism for accurate object detection. Different from the traditional regression based methods, the Grid R-CNN captures the spatial information explicitly and enjoys the position sensitive property of fully convolutional architecture ...
Xin Lu 0002 +4 more
openaire +2 more sources
Zuckerberg exclusive broadcast interview on CNN\u27s ʺNew Dayʺ about internet.org launch
, 2013 CNN\u27s New Day interviews Mark Zuckerberg about the internet.org launch in 2013https://epublications.marquette.edu/zuckerberg_files_videos/1069/thumbnail ...
CNN
core
Advanced Science, EarlyView.Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li +6 more
wiley +1 more source
CoRR, 2018 There is a plenty of research going on in field of object recognition, but object state recognition has not been addressed as much. There are many important applications which can utilize object state recognition, such as, in robotics, to decide for how to grab an object.
openaire +2 more sources
Generation of Probabilistic Bits by Exploiting Orthogonal Spin Currents in Magnetic Trilayers
Advanced Science, EarlyView.Fe/Ti/CoFeB trilayers generate orthogonal spin currents that drive stochastic spin–orbit‐torque switching for probabilistic‐bit operation. The switching probability is continuously controlled by the in‐plane magnetic field and drive current, enabling tunable random bit generation.
Donghyeon Han +17 more
wiley +1 more source