Results 81 to 90 of about 1,355,935 (279)
A Multiple Cascade-Classifier System for a Robust and Partially Unsupervised Updating of Land-Cover Maps [PDF]
, 2002 A system for a regular updating of land-cover maps is proposed that is based on the use of multitemporal remote-sensing images. Such a system is able to face the updating problem under the realistic but critical constraint that, for the image to be ...
Bruzzone, Lorenzo, Cossu, Roberto
core
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT High‐flowrate mixed bed is the foremost desalination equipment in the condensate polishing system. The water distribution device determining the water distribution uniformity directly affects its operation stability, output water quality, and service life of the resins.
Jing Zhu +5 more
wiley +1 more source
Optimization of modeling and temperature control of air-cooled PEMFC based on TLBO-DE
Energy and AIThe temperature control of the air-cooled proton exchange membrane fuel cell (PEMFC) is important for effective and safe operation. To develop a practical and precise controller, this study combines the Radial Basis Function (RBF) neural network with ...
Pu He +9 more
doaj +1 more source
Combined Prediction Energy Model at Software Architecture Level
IEEE Access, 2020 Accurate prediction of software energy consumption is of great significance for the sustainable development of the environment. In order to overcome the limitations of a single prediction method and further improve the prediction accuracy, a combined ...
Junke Li +3 more
doaj +1 more source
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
Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks
, 2017 Convolutional Neural Networks (CNNs) are well established models capable of achieving state-of-the-art classification accuracy for various computer vision tasks. However, they are becoming increasingly larger, using millions of parameters, while they are
Passalis, Nikolaos, Tefas, Anastasios
core +1 more source
Arthritis &Rheumatology, Accepted Article.Objectives Femoroacetabular impingement (FAI) and synovitis have been recognized as essential factors for developing osteoarthritis (OA) in the hip joints. However, little is known about altered synovial cellular compositions, their associated transcriptomic profiles, and cell‐cell interactions in FAI and hip OA.
Gulzada Kulzhanova +9 more
wiley +1 more source
A New RBF Neural Network With Boundary Value Constraints
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2009 We present a novel topology of the radial basis function (RBF) neural network, referred to as the boundary value constraints (BVC)-RBF, which is able to automatically satisfy a set of BVC. Unlike most existing neural networks whereby the model is identified via learning from observational data only, the proposed BVC-RBF offers a generic framework by ...
Hong, X., Chen, Sheng
openaire +3 more sources
Asian Journal of Control, EarlyView.Abstract This paper tackles the problem of robust and accurate fixed‐time tracking in human–robot interaction and deals with uncertainties. This work introduces a control approach for a wearable exoskeleton designed specifically for rehabilitation tasks.
Mahmoud Abdallah +4 more
wiley +1 more source
A Guide to Bayesian Optimization in Bioprocess Engineering
Biotechnology and Bioengineering, EarlyView.ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska +5 more
wiley +1 more source