Results 41 to 50 of about 124,689 (232)
Recurrent unit augmented memory network for video summarisation
IET Computer Vision, 2023 Video summarisation can relieve the pressure on video storage, transmission, archiving, and retrieval caused by the explosive growth of online videos in recent years.
Min Su, Ran Ma, Bing Zhang, Kai Li
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Segmentation and Location Computation of Bin Objects
International Journal of Advanced Robotic Systems, 2007 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 +3 more
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Combining case based reasoning with neural networks [PDF]
, 1993 This paper presents a neural network based technique for mapping problem situations to problem solutions for Case-Based Reasoning (CBR) applications. Both neural networks and CBR are instance-based learning techniques, although neural nets work with ...
Murray-Smith, R, Thakar, S.
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IET Intelligent Transport SystemsAccurate speed prediction is a crucial component of intelligent transportation systems, as it enhances traffic management and operational efficiency. While the majority of existing research concentrates on speed prediction under normal traffic conditions,
Zihao Wei, Ke Zhang, Shen Li, Meng Li
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Forecasting price increments using an artificial Neural Network
, 2000 Financial forecasting is a difficult task due to the intrinsic complexity of the financial system. In the present paper we relate our experience using neural nets as financial time series forecast method.
Castiglione, Filippo
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Artificial Neural Nets and the Representation of Human Concepts [PDF]
, 2023 Timo Freiesleben
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Design of a multivariable neural controller for control of a nonlinear MIMO plant
International Journal of Applied Mathematics and Computer Science, 2014 The paper presents the training problem of a set of neural nets to obtain a (gain-scheduling, adaptive) multivariable neural controller for control of a nonlinear MIMO dynamic process represented by a mathematical model of Low-Frequency (LF) motions of a
Bańka Stanisław +2 more
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Electronics Letters, 2021 Deep convolutional neural networks (DCNNs) have been widely applied in various modern artificial intelligence (AI) applications. DCNN's inference is a process with high calculation costs, which usually requires billions of multiply‐accumulate operations.
Xianghong Hu +5 more
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Application of artificial neural networks to the recognition of musical sounds
Archives of Acoustics, 2014 The aim of the presented work was to train a neural network in order to recognize a class of a chosen musical instrument. As problems related to analysis of sounds are related to human subjective perception abilities, then it seems that such tools of ...
B. KOSTEK, R. KRÓLIKOWSKI
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