بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
element » elements (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
element » elements (توسيع البحث)
-
341
Dynamic multiple node failure recovery in distributed storage systems
منشور في 2018"…In this work, we address the problem of multiple failure recovery with dynamic scenarios using the fractional repetition code as a redundancy scheme. The fractional repetition (FR) code is a class of regenerating codes that concatenates a maximum distance separable code (MDS) with an inner fractional repetition code where data is split into several blocks then replicated and multiple replicas of each block are stored on various system nodes. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
342
An Alternating Projection Framework for Elementwise Masked Nonlinear Matrix Decomposition
منشور في 2025احصل على النص الكامل
doctoralThesis -
343
The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review
منشور في 2022"…The most common signal normalization and feature extractions in the included studies were the bandpass filter and wavelet-based feature extraction. We categorized the studies based on AI techniques, such as machine learning and deep learning. …"
-
344
A fuzzy basis function network for generator excitation control
منشور في 1997"…The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on generator loading conditions. The orthogonal least squares learning algorithm is developed for designing an adequate and parsimonious FBFN model. …"
احصل على النص الكامل
احصل على النص الكامل
article -
345
Adaptive PID Controller for a Non Linear Pendulum System Using Recurrent Neural Networks
منشور في 2005احصل على النص الكامل
doctoralThesis -
346
A hybrid neuro-fuzzy power system stabilizer for multimachine powersystems
منشور في 1998"…The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on machine loading conditions. The orthogonal least squares (OLS) learning algorithm is developed for designing an adequate and parsimonious FBFN model. …"
احصل على النص الكامل
احصل على النص الكامل
article -
347
Automation of the Arabic sign language recognition
منشور في 2004"…This paper introduces a system to recognize the Arabic sign language using an instrumented glove and a machine learning method. Interfaces in sign language systems can be categorized as direct-device or vision-based. …"
احصل على النص الكامل
احصل على النص الكامل
article -
348
Predicting stability of classes in an object-oriented system
منشور في 2010"…We compare our results to the machine learning algorithm C4.5, and we show that our approach out-beats it.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
349
Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO
منشور في 2022"…Considering the high cost and time-consuming experimental investigations, computational methods, particularly machine learning algorithms, can be the appropriate approach for efficiently screening the metal alloys as the electrocatalysts. …"
-
350
Computer-aided detection of Melanoma using geometric features
منشور في 2017"…The k-Nearest Neighbors (k-NN) machine learning algorithm is used to classify 15 lesions based on their ABD features. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
351
Modeling and Control of Nonlinear Systems Using Wavelet Networks
منشور في 2006احصل على النص الكامل
doctoralThesis -
352
Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series
منشور في 2013احصل على النص الكامل
doctoralThesis -
353
SDODV. (c2018)
منشور في 2018"…It monitors the traffic load, nodes mobility, neighborhood density and battery power to adjust the routing of packets accordingly. This protocol is based on the distributed reinforcement learning approach and on the traditional AODV. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
354
Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR)
منشور في 2018"…Recent advances in natural language processing, text mining and machine learning have produced new algorithms that can accurately mimic human endeavour in systematic review activity, faster and more cheaply. …"
-
355
-
356
Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques
منشور في 2024"…The first method uses an offline technique based on a global optimizer called the CMA-ES algorithm and the second one uses LSTM in its different forms to learn the online adjustment of the fusion weights between the two tracks. …"
احصل على النص الكامل
-
357
A survey and comparison of wormhole routing techniques in a meshnetworks
منشور في 1997"…These multiprocessing systems consist of processing elements or nodes which are connected together by interconnection networks in various topologies. …"
احصل على النص الكامل
احصل على النص الكامل
article -
358
CEAP
منشور في 2016"…Simulation results show that our model is able to increase the accuracy of detections, enhance the attack detection rate, decrease the false positive rate, and improve the packet delivery ratio in the presence of high mobility compared to the classical SVM-based, Dempster–Shafer-based, and averaging-based detection techniques.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
359
Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier
منشور في 2021"…Furthermore, an improved k-nearest neighbors (IKNN) algorithm is presented to reduce the learning computation time and improve the classification performance. …"
-
360
Mobile Robot Trajectory Tracking Using Neural Networks
منشور في 2009احصل على النص الكامل
doctoralThesis