Results 111 to 120 of about 308,238 (274)

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

GPU LSM: A Dynamic Dictionary Data Structure for the GPU

, 2017
We develop a dynamic dictionary data structure for the GPU, supporting fast insertions and deletions, based on the Log Structured Merge tree (LSM). Our implementation on an NVIDIA K40c GPU has an average update (insertion or deletion) rate of 225 M ...
Amenta, Nina, Ashkiani, Saman, Farach-Colton, Martin, Li, Shengren, Owens, John D.   +4 more
core  

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

Deep Learning Approach for Predicting Efficiency in Organic Photovoltaics from 2D Molecular Images of D/A Pairs

Advanced Theory and Simulations, EarlyView.
This study highlights the potential of deep learning, particularly Convolutional Neural Networks (CNNs), for predicting the photovoltaic performance of organic solar cells. By leveraging 2D images representing donor/acceptor molecular pairs, the model accurately estimates key performance indicators proving that this image‐based approach offers a fast ...
Khoukha Khoussa, Patrick Lévêque, Larbi Boubchir   +2 more
wiley   +1 more source

Laminography as a tool for imaging large-size samples with high resolution

Journal of Synchrotron Radiation
Despite the increased brilliance of the new generation synchrotron sources, there is still a challenge with high-resolution scanning of very thick and absorbing samples, such as a whole mouse brain stained with heavy elements, and, extending further ...
Viktor Nikitin, Gregg Wildenberg, Alberto Mittone, Pavel Shevchenko, Alex Deriy, Francesco De Carlo   +5 more
doaj   +1 more source

Accelerated parallel computation of field quantities for the boundary element method applied to stress analysis using multi-core CPUs, GPUs and FPGAs

Cogent Engineering, 2018
Computation in engineering and science can often benefit from acceleration due to lengthy calculation times for certain classes of numerical models.
Junjie Gu, Attila Michael Zsaki
doaj   +1 more source

Immune Predictors of Radiotherapy Outcomes in Cervical Cancer

Advanced Science, EarlyView.
This study reveals dynamic immune remodeling in cervical cancer following radiotherapy. Single‐cell analysis identifies the C3/C3AR1 axis as a central mediator of epithelial–myeloid crosstalk, whose inhibition reduces treatment efficacy in mice. Guided by these insights, the eight‐feature machine‐learning model: Cervical Cancer Radiotherapy Immune ...
Linghao Wang, Jie Zhu, Zequn Ding, Zhiyuan Xie, Xingchen Liu, Feihong Zhang, Xiaojun Liu, Yan Zhang, Haiyan Chen   +8 more
wiley   +1 more source

New technologies for big multimedia data treatment

Journal of Computer Science and Technology, 2013
With the technology advance and the growth of Internet, the information that can be found in this net, as well as the number of users that access to look for specific data is bigger.
Mercedes Barrionuevo, Luis Britos, Fabricio H. Bustos, Graciela Verónica Gil Costa, Mariela Lopresti, Virginia Mancini, Natalia Carolina Miranda, César Ochoa, María Fabiana Piccoli, Alicia Marcela Printista, Nora Susana Reyes   +10 more
doaj  

DETERMINATION OF THE BEST OPTIMIZER FOR A NEURONETWORK IN THE DEVELOPMENT OF AUTOMATIC IMAGE TAGGING SYSTEMS

Електроніка та інформаційні технології
Background. Choosing the best optimizer is an important step in developing efficient automatic image classification systems. In particular, for neural networks based on convolutional neural networks (CNNs), the choice between popular optimization methods
Andrian Kozynets
doaj   +1 more source

A Wearable Brain–Computer Interface for Mitigating Car Sickness via Attention Shifting

Advanced Science, EarlyView.
Car sickness poses a major challenge in vehicular travel, yet effective nonpharmacological solutions are scarce. We developed a wearable, closed‐loop mindfulness BCI that uses real‐time EEG‐based neurofeedback to shift attention away from motion‐induced discomfort. Validated in real‐car experiments involving >100$>100$ susceptible individuals, over 83%
Jiawei Zhu, Xiaoyu Bao, Qiyun Huang, Tao Wang, Li Huang, Haiyun Huang, Junbiao Zhu, Jun Qu, Kendi Li, Di Chen, Ya Jiang, Kailin Xu, Zijian Wang, Wei Wu, Yuanqing Li   +14 more
wiley   +1 more source