Results 51 to 60 of about 2,218 (164)

SeisDetNet: Artificial neural network for seismic event detection. Part 1: Architecture

Вестник Камчатской региональной ассоциации "Учебно-научный центр". Серия: Науки о Земле
An artificial neural network, SeisDetNet, has been developed for distinguishing seismic events from seismic noise based on waveform records. The international STEAD database, which contains minute-long records of local earthquakes and seismic noise, was ...
S.A. Imashev, A.V. Aladev
doaj   +1 more source

BiFormer Attention‐Guided Multiscale Fusion Mask2former Networks for Fish Abnormal Behavior Recognition and Segmentation

Aquaculture Research, Volume 2024, Issue 1, 2024.
To address the issues of accurately identifying and tracking individual fish abnormal behaviors and poor adaptability in the aquaculture field, this paper proposes a Mask2former model combined with a bidirectional routing attention mechanism (BiFormer) and a multiscale dilated attention (MSDA) module for fish abnormal behavior recognition and ...
Jihang Liu, Zeyuan Hu, Yixi Zhang, Yinjia Li, Jinsong Yang, Hong Yu, Christyn Bailey   +6 more
wiley   +1 more source

KNET: A Multitask Deep Neural Net Kinase Activity Profiler

, 2017
Deep learning (DL) is a powerful machine learning technology based on multi-layer (deep) neural networks that has shown impressive success across a wide range of domains, including, recently, in drug discovery, utilizing structural features of small molecules to predict biological activity. Utilizing Python and the Celery, Flask, and DeepChem libraries
Turner, John, Allen, Bryce, Schürer, Stephan   +2 more
openaire   +1 more source

Sensitivity analysis and parameter estimation for distributed hydrological modeling: potential of variational methods [PDF]

, 2009
Variational methods are widely used for the analysis and control of computationally intensive spatially distributed systems. In particular, the adjoint state method enables a very efficient calculation of the derivatives of an objective function ...
Castaings, William, Dartus, Denis, Le Dimet, François-Xavier, Saulnier, G.-M.   +3 more
core   +5 more sources

РАЗРАБОТКА БАЗЫ ДАННЫХ СИЛЬНЫХ ДВИЖЕНИЙ

Геология и геофизика Юга России, 2015
В работе рассмотрены структура и принципы построения базы данных сильных движений, созданной на основе инструментальных записей землетрясений системы KNET с мая 1996 г.
В.Б. Заалишвили, К.С. Харебов, А.К. Харебов   +2 more
doaj  

Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation [PDF]

, 2019
We present a novel family of deep neural architectures, named partially exchangeable networks (PENs) that leverage probabilistic symmetries. By design, PENs are invariant to block-switch transformations, which characterize the partial exchangeability ...
Frellsen, Jes, Mattei, Pierre-Alexandre, Picchini, Umberto, Wiqvist, Samuel   +3 more
core   +2 more sources

СТАТИСТИЧЕСКИЙ АНАЛИЗ ПАРАМЕТРОВ БАЗЫ ДАННЫХ СИЛЬНЫХ ГРУНТОВЫХ ДВИЖЕНИЙ

Геология и геофизика Юга России, 2014
В работе рассмотрена зависимость частотных характеристик от магнитуды вблизи эпицентра события и вдали от него на основе инструментальных записей землетрясений системы KNET с мая 1996 г по декабрь 2012 г.
В. Б. Заалишвили, К. С. Харебов, А. К. Харебов   +2 more
doaj  

СОЗДАНИЕ БАЗ ДАННЫХ СИЛЬНЫХ ДВИЖЕНИЙ НА ОСНОВЕ СОВРЕМЕННЫХ ВОЗЗРЕНИЙ

Геология и геофизика Юга России, 2014
В работе рассмотрена структура и принципы построения базы данных сильных движений созданной на основе инструментальных записей землетрясений системы KNET с 1996 г по 2012 г.
В. Б. Заалишвили, К. С. Харебов, А. К. Харебов   +2 more
doaj  

Disturbed small-world networks and neurocognitive function in frontal lobe low-grade glioma patients.

PLoS ONE, 2014
BackgroundBrain tumor patients often associated with losses of the small-world configuration and neurocognitive functions before operations. However, few studies were performed on the impairments of frontal lobe low-grade gliomas (LGG) after tumor ...
Qingling Huang, Rui Zhang, Xinhua Hu, Shangwen Ding, Jingguang Qian, Ting Lei, Xuan Cao, Ling Tao, Zhiyu Qian, Hongyi Liu   +9 more
doaj   +1 more source

SeisDetNet: Artificial neural network for seismic event detection. Part 2: Model assessment

Вестник Камчатской региональной ассоциации "Учебно-научный центр". Серия: Науки о Земле
Based on a combination of convolutional and fully connected neural networks, we developed the SeisDetNet model to distinguish seismic events from seismic noise using waveform records.
S.A. Imashev, A.V. Aladev
doaj   +1 more source