Results 1 to 10 of about 7,147,076 (289)
COMPARISON OF ESTIMATION METHODS TO QUANTIFY METHANE PLUME CONCENTRATION AT HIGH SPATIAL RESOLUTION FROM HYPERSPECTRAL IMAGES [PDF]
The detection and the quantification of greenhouse gases is essential to climate change studies, avoid leakages in industrial site, prevent accidental explosions.
N. Nesme +6 more
doaj +1 more source
Several governmental organizations all over the world aim for algorithmic accountability of artificial intelligence systems. However, there are few specific proposals on how exactly to achieve it.
Marc P. Hauer +2 more
doaj +1 more source
Research on recognizing required items based on opencv and machine learning [PDF]
Starting from the background of the outbreak of New Coronavirus, in order to realize the function of automatically identifying the required items by machine, the support vector machine algorithm in the neural network and the traditional computer vision ...
Ma Qingyun, Huang Xubin
doaj +1 more source
Working memory (WM) plays an important role in cognitive activity. The WM system is used to temporarily store information in learning and decision-making.
Hui Wei, Xiao Jin, Zihao Su
doaj +1 more source
Towards a process-driven network analysis
A popular approach for understanding complex systems is a network analytic one: the system’s entities and their interactions are represented by a graph structure such that readily available methods suitable for graph structures can be applied.
Mareike Bockholt, Katharina Anna Zweig
doaj +1 more source
THE COMPARISON OF DRAINAGE NETWORK EXTRACTION BETWEEN SQUARE AND HEXAGONAL GRID-BASED DEM [PDF]
The automatic extraction of valleys or ridges from DEM is a long term topic in the GIS and hydrology fields and a number of algorithms have been developed.
L. Wang, T. Ai
doaj +1 more source
BackgroundElectroconvulsive therapy (ECT) is recommended in treatment guidelines as an efficacious therapy for treatment-resistant depression. However, it has been associated with loss of autobiographical memory and short-term reduction in new learning ...
Richard J. Porter +12 more
doaj +1 more source
Efficient Algorithms for the Maximum Sum Problems
We present efficient sequential and parallel algorithms for the maximum sum (MS) problem, which is to maximize the sum of some shape in the data array.
Sung Eun Bae +2 more
doaj +1 more source
Abnormal Data Detection Method Based on Ant Colony Algorithm [PDF]
Since the traditional outlier detection technology based on Omeasure needs to search all paths while detecting abnormal data and it is easy to make misjudgments under the scenario of less amount of data.Hence,it has obvious defects on the efficiency and
CAI Mei,LIU Bo
doaj +1 more source
Federated Learning for Precoding Design in Cell-Free Massive MIMO Systems
Cell-free massive MIMO precoding leverages the large number of antennas and dense access point (AP) deployment to concurrently serve multiple users in a wide coverage area, thus promising efficient interference mitigation and significant network capacity
Dong Wang +3 more
doaj +1 more source

