بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
te algorithm » rd algorithm (توسيع البحث), deer algorithm (توسيع البحث), _ algorithms (توسيع البحث)
element te » elementi per (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
te algorithm » rd algorithm (توسيع البحث), deer algorithm (توسيع البحث), _ algorithms (توسيع البحث)
element te » elementi per (توسيع البحث)
-
61
-
62
Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data
منشور في 2021احصل على النص الكامل
doctoralThesis -
63
A stochastic iterative learning control algorithm with application to an induction motor
منشور في 2004"…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the learning gain matrix of a P-type ILC for linear discrete-time varying systems with arbitrary relative degree. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
64
Stochastic P-type/D-type iterative learning control algorithms
منشور في 2003"…This paper presents stochastic algorithms that compute optimal and sub-optimal learning gains for a P-type iterative learning control algorithm (ILC) for a class of discrete-time-varying linear systems. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
65
On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise
منشور في 2005"…Higher-Order Iterative Learning Control (HO-ILC) algorithms use past system control information from more than one past iterative cycle. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
66
Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
منشور في 2022"…The performance of three machine learning (ML) algorithms was assessed to predict the wild blueberry harvest losses on the ground. …"
-
67
-
68
Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches
منشور في 2024"…In recent studies, traditional machine learning and deep learning algorithms have been implemented to detect fake job postings; this research aims to use two transformer-based deep learning models, i.e., Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT-Pretraining Approach (RoBERTa) to detect fake job postings precisely. …"
-
69
Learning-Based Automatic Modulation Classification
منشور في 2015احصل على النص الكامل
doctoralThesis -
70
-
71
-
72
-
73
Efficient Approximate Conformance Checking Using Trie Data Structures
منشور في 2021"…Conformance checking compares a process model and recorded executions of a process, i.e., a log of traces. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
-
74
-
75
-
76
Sentiment analysis for Arabizi in social media. (c2015)
منشور في 2015"…Yalla 7abibi, it is very useful to have a data mining tool that can analyze the sentiment of Twitter users in the Arab world. …"
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
77
Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization
منشور في 2022"…The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. …"
احصل على النص الكامل
-
78
-
79
-
80
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
منشور في 2019"…In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …"
احصل على النص الكامل
احصل على النص الكامل