Results 91 to 100 of about 1,504,339 (298)

Differential Bayesian Neural Nets

CoRR, 2019
Neural Ordinary Differential Equations (N-ODEs) are a powerful building block for learning systems, which extend residual networks to a continuous-time dynamical system. We propose a Bayesian version of N-ODEs that enables well-calibrated quantification of prediction uncertainty, while maintaining the expressive power of their deterministic counterpart.
Andreas Look, Melih Kandemir
openaire   +3 more sources

Which family members use the best nets? An analysis of the condition of mosquito nets and their distribution within households in Tanzania. [PDF]

, 2010
BACKGROUND: Household ownership of insecticide-treated mosquito nets (ITNs) is increasing, and coverage targets have been revised to address universal coverage with ITNs.
Hanson, Kara, Jo Lines, Lines, Jo, Angela Tsuang, Lines Jo, Kara Hanson, Tsuang Angela, Hanson Kara, Tsuang, Angela   +8 more
core   +1 more source

Loss of AMBRA1 activates MAPK and angiogenesis signaling pathways in melanoma cells

FEBS Open Bio, EarlyView.
Loss of AMBRA1 in melanoma cells activates multiple oncogenic pathways associated with tumor progression. Transcriptomic and protein network analyses revealed that AMBRA1 depletion enhances MAPK/ERK signaling, angiogenesis, TGF‐β/EMT signaling, and Wnt/axon guidance pathways.
Milad Ibrahim, Marco Corazzari, Iman Osman, Jane Armstrong, Noel Carter   +4 more
wiley   +1 more source

Characterizing Behavioural Congruences for Petri Nets

, 1995
We exploit a notion of interface for Petri nets in order to design a set of net combinators. For such a calculus of nets, we focus on the behavioural congruences arising from four simple notions of behaviour, viz., traces, maximal traces, step, and ...
Priese, L., Nielsen, M., Sassone, V.
core   +2 more sources

Effects of Biological Adhesion on the Hydrodynamic Characteristics of Different Panel Net Materials: A BP Neural Network Approach

Journal of Marine Science and Engineering
Biofouling is a serious problem in marine aquaculture facilities, exerting several negative effects on cage structures. In this study, different materials of nets were placed in the Fujian Sea area of China, and the main biological adhesion species were ...
Yongli Liu, Wei Liu, Lei Wang, Minghua Min, Lei Li, Liang Wang, Shuo Ma   +6 more
doaj   +1 more source

Plant recognition by AI: Deep neural nets, transformers, and kNN in deep embeddings. [PDF]

Front Plant Sci, 2022
Picek L, Šulc M, Patel Y, Matas J.
europepmc   +1 more source

Searching for Minimal Neural Networks in Fourier Space [PDF]

, 2010
The principle of minimum description length suggests looking for the simplest network that works well on the training examples, where simplicity is measured by network description size based on a reasonable programming language for encoding networks ...
Jurgen Schmidhuber, Jan Koutnik, Faustino Gomez, Gomez, Faustino, Schmidhuber, Jürgen, Koutnik, Jan   +5 more
core   +1 more source

Treatment with KCL‐286, a first‐in‐class retinoic acid receptor‐β (RARβ) agonist, ameliorates neuronal DNA damage and inflammation in a mouse model of Alzheimer's disease

FEBS Open Bio, EarlyView.
Repair of neuronal DNA damage in Alzheimer's disease by KCL‐286. (A) Amyloid‐β oligomers and plaques impair neuronal DNA repair pathways, leading to DNA double‐strand breaks and glial activation. (B) KCL‐286 activates RARβ/RXR signalling via retinoic acid response elements (RAREs), associated with increased BRCA1 expression, enhanced DNA repair and ...
Natasha Hill, Hassan Yousef Othman AlMuallim, Elouisa Maddock, Carl Hobbs, Earl Clarke, Maria B. Goncalves, Jonathan P. T. Corcoran   +6 more
wiley   +1 more source

Segmentation and Location Computation of Bin Objects

International Journal of Advanced Robotic Systems, 2008
In this paper we present a stereo vision based system for segmentation and location computation of partially occluded objects in bin picking environments. Algorithms to segment partially occluded objects and to find the object location [midpoint,x, y and
C.R. Hema, M.P. Paulraj, R. Nagarajan, Sazali Yaacob   +3 more
doaj  

Accurate clinical toxicity prediction using multi-task deep neural nets and contrastive molecular explanations. [PDF]

Sci Rep, 2023
Sharma B, Chenthamarakshan V, Dhurandhar A, Pereira S, Hendler JA, Dordick JS, Das P.   +6 more
europepmc   +1 more source