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processing algorithm » processing algorithms (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
element » elements (توسيع البحث)
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181
Convergence and steady-state analysis of the normalized least mean fourth algorithm
منشور في 2007article -
182
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183
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184
A method for optimizing test bus assignment and sizing for system-on-a-chip
منشور في 2017"…Test access mechanism (TAM) is an important element of test access architectures for embedded cores and is responsible for on-chip test patterns transport from the source to the core under test to the sink. …"
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conferenceObject -
185
Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence
منشور في 2020"…One of the best algorithms in terms of the result is the Long Short Term Memory (LSTM) since it is based on recurrent neural networks which uses loop as a method to learn from heuristics data. …"
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186
Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models
منشور في 2022"…There are many techniques that can be used for fruit classification using computer vision technology. Deep learning is the most promising algorithm compared to another Machine Learning (ML) algorithm. …"
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187
Assessment of static pile design methods and non-linear analysis of pile driving
منشور في 2006"…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …"
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masterThesis -
188
Evolutionary algorithms for state justification in sequential automatic test pattern generation
منشور في 2005"…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …"
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article -
189
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190
Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining
منشور في 2021"…An integrated web application is developed to mock up the end-to-end process in ecommerce. Additionally, the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology is employed for modelling the two proposed clustering algorithms to identify transactional risks. …"
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191
Machine Learning Techniques for Pharmaceutical Bioinformatics
منشور في 2018"…A predictive model is developed to predict drug indication as well as to predict new DDIs using multiple machine learning algorithms. This dissertation presents a case study of predicted anti-cancer activity for 38 drugs. …"
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192
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193
Predicting and Interpreting Student Performance Using Machine Learning in Blended Learning Environments in a Jordanian School Context
منشور في 0024"…Machine learning algorithms can process large and complex datasets to identify patterns and trends that may not be immediately apparent. …"
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194
NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY
منشور في 2022"…This study's dataset was sourced from the Kaggle machine learning repository, and it refers to data gathering from wearable IoT devices. …"
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195
Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection
منشور في 2011"…In order to analyze the performance of machine learning algorithms, data was provided by a bank to be used for educational purposes and shall remain undisclosed. …"
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196
UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks
منشور في 2018"…Among the emerging markets, Internet of Things (IoT) use cases are standing out with the proliferation of a wide range of sensors that can be configured to continuously monitor and transmit data for intelligent processing and decision making. …"
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article -
197
Peripheral inflammatory and metabolic markers as potential biomarkers in treatment-resistant schizophrenia: Insights from a Qatari Cohort
منشور في 2024"…The Random Forest model, a supervised machine learning algorithm, efficiently differentiated between cases and controls and between TRS and NTRS, with accuracies of 86.87 % and 88.41 %, respectively. …"
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198
Identification of phantom movements with an ensemble learning approach
منشور في 2022"…In the current study, we utilized ensemble learning algorithms for the recognition and classification of phantom movements of the different amputation levels of the upper and lower extremity. …"
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199
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200
EEG Signal Processing for Medical Diagnosis, Healthcare, and Monitoring: A Comprehensive Review
منشور في 2023"…The development of novel sensors for EEG recording, digital signal processing algorithms, feature engineering, and detection algorithms increases the need for efficient diagnostic systems. …"