SEARCH THE JOURNAL CONTENT
Enter one or more keywords to search for.
For exact phrase matching use quotation marks (e.g. "speed controller").
Note that '*' and '?' wildcards are supported.
Search results for: neural network
270 results found containing all search terms.
27 pages of results.
Sort by relevance / Sorted by date ▼
11. Transformer Core Saturation Fault Analysis using Current Sensor Signals and Thermal Image Features
Year: 2023, Volume: 23, Number: 4
... Resolution wavelet- Deep faults. Signal analysis techniques are applied in CT signals Convolutional Neural Network. Energy band-based values from current sensor signal and current sensor thermal image ... extract relevant information regarding inrush current Haralick features are used for differentiating transformer and harmonics [4]. Fault is detected using classification of core-based and load-based faults. ...
12. Transfer Learning Based Convolutional Neural Network for Classification of Remote Sensing Images
Year: 2023, Volume: 23, Number: 4
... 23, Number 4, 2023 Transfer Learning Based Convolutional Neural Network for Classification of Remote Sensing Images Meena Prakash ... are shown monitoring etc., Presently, Convolutional Neural Networks in Fig. 1. (CNN) which ... deep learning based methods are successfully employed for classification problems due to its flexible Machine learning is concerned with mapping ...
Year: 2023, Volume: 23, Number: 3
... aims to make the system information by building a graph neural network of two modalities and then perform inter-modal fusion ... video. The next cross-modal interaction module fuses the neural networks [20-21] or based on dual-stream networks features ... Volume 23, Number 3, 2023 Video Moment Localization Network Based on Text Multi-semantic Clues Guidance Guangli WU, ...
Year: 2023, Volume: 23, Number: 3
... Saglam, S. A. Kalogirou, "Artificial neural network- they overlapped with each other, with ... . Huang, J. H. Chen, "Neural-network-based the array was operated at this point. The ... each PV the best results from the algorithm, the network must be system should be redefined. trained many ...
Year: 2023, Volume: 23, Number: 3
... referred to as "traffic prediction," which can neural networks. mitigate several health issues caused by traffic ... . Also, it can provide alternative paths to traffic jams, saving the I. INTRODUCTION citizens' time ... real-time data to make a short-term learning models or neural network architectures for time prediction of traffic flow during morning ...
Year: 2023, Volume: 23, Number: 3
... , Pre-Labelling, and Creation of classifier uses a Convolutional Neural Network (CNN) Classification Models structure to classify ... approach that optimizes flow routing and using local and global networks has made it very challenging to reduces the number ... routing paths, considering the limited manage network traffic, especially during epidemics and TCAM resource. This method efficiently ...
Year: 2023, Volume: 23, Number: 3
... , Support Vector Machines (SVM), and Convolutional Neural Networks (CNN), motivation of this research ... is to demonstrate that by is analyzed on two Serbian corpora of isolated words. The applying audio data augmentation ... the Viterbi decoder was employed to estimate the Convolutional Neural Network (CNN) is a Deep Learning most probable ...
Year: 2023, Volume: 23, Number: 2
... ), (6) powerful inference capabilities of neural networks to learn where a and b are both ... clustered and managed using cluster heads (CHs), networks in data collection [4-6]. On the ... paths so that sensors can collect the data under Hoc Network (WANET) [8]. different positions ...
Year: 2023, Volume: 23, Number: 2
... training is time adaptive attention system based on the convolutional neural consuming. It is difficult to perform training tasks ... " IEEE Trans. on Pattern Analy. And Machine Networks and Communications, pp. 316 €“ 320, ... . Int. vol. 36, pp. 1532 €“ 1545, 2014. doi:10.1109/TPAMI.2014.2300479 ...
Year: 2023, Volume: 23, Number: 2
... &CVCC technique can decrease [8] and artificial neural networks [9]. The strong point of ... at a steady state around the set point and has a fast intelligent PV MPPT techniques is their ability to ... tracking English expression in this manuscript. using a neural network for power reserve control in a grid-connected PV system ...
Search took 0.398 seconds
The search engine database includes all papers published after 2007, including titles, author names, abstracts, keywords, full papers text, references and citations. For papers published between 2001 and 2006, please visit the Archive section.
We invite you to try the most frequently used search terms:
system - power - control - fault - network - load - model - frequency - converter - transformer - harmonic - computer - algorithm - cancer - simulation - computer - estimate - optimal control - expert system - electromagnetic - interference - data transmission - neural network - electrocardiogram signal - model - cluster - design - wavelet - antenna - wireless sensor - coupling - robust - noise - signal processing - system identification - translation - nonlinear systems - induction motor - speed controller - shape optimization - fuzzy network - wireless sensor network
