Results 31 to 40 of about 122,388 (186)
IET Generation, Transmission & Distribution, 2023 Numerous studies on short‐term load forecasting (STLF) have used feature extraction methods to increase the model's accuracy by incorporating multidimensional features containing time, weather and distance information.
Shiyan Yi +4 more
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, 2019 Neural circuits can be reconstructed from brain images acquired by serial section electron microscopy. Image analysis has been performed by manual labor for half a century, and efforts at automation date back almost as far.
Lee, Kisuk +5 more
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Gesture recognition algorithm based on multi‐scale feature fusion in RGB‐D images
IET Image Processing, 2023 With the rapid development of sensor technology and artificial intelligence, the video gesture recognition technology under the background of big data makes human‐computer interaction more natural and flexible, bringing richer interactive experience to ...
Ying Sun +6 more
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Searching for Exoplanets Using Artificial Intelligence
, 2017 In the last decade, over a million stars were monitored to detect transiting planets. Manual interpretation of potential exoplanet candidates is labor intensive and subject to human error, the results of which are difficult to quantify. Here we present a
Griffith, Caitlin A. +2 more
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Comparative Analysis of Neural Networking and Regression Models for Time Series Forecasting
Цифровая трансформация, 2019 Applicability of neural nets in time series forecasting has been considered and researched. For this, training of neural network on various time series with preliminary selection of optimal hyperparameters has been performed.
S. V. Sholtanyuk
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Bike Sharing Prediction using Deep Neural Networks
JOIV: International Journal on Informatics Visualization, 2017 In this paper, we will use deep neural networks for predicting the bike sharing usage based on previous years usage data. We will use because deep neural nets for getting higher accuracy.
Chandrasegar Thirumalai +1 more
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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.
core +2 more sources