بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
element » elements (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
element » elements (توسيع البحث)
-
161
Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review
منشور في 2024"…It has been learned that image-processing techniques overwhelm the existing research and have the potential to integrate meteorological data. …"
-
162
Nested ensemble selection: An effective hybrid feature selection method
منشور في 2023احصل على النص الكامل
article -
163
Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering
منشور في 2024"…Finally, this study proposed a novel multi-view learning framework that analyzes multi-source data and generates fine clusters efficiently.…"
-
164
An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study
منشور في 2024"…</p><h3>Methods</h3><p dir="ltr">Using historical data (2008-2020), an accurate prediction model using machine learning methods was developed and incorporated into a mobile app. …"
-
165
-
166
-
167
Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks
منشور في 2021"…Our simulation results show that the distributed DDPG-based algorithm learns to adapt against changes in the channel or user requirements, while centralized Genetic Algorithm and Particle Swarm Optimization-based algorithms fail to endure against these changes even with coordination between APs. …"
-
168
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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
169
Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems
منشور في 2022"…Data-driven algorithms with capabilities to predict the system’s dynamic behavior still need to be developed. …"
-
170
A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text
منشور في 2019"…The algorithm calculates the concept frequency weights using the term frequency weights. …"
احصل على النص الكامل
احصل على النص الكامل
-
171
An ant colony optimization algorithm to improve software quality prediction models
منشور في 2011"…Results Results show that our approach out-performs the machine learning algorithm C4.5 as well as random guessing. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
172
-
173
A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models
منشور في 2010"…In this paper, we present a genetic algorithm that adapts such models to new data. We give empirical evidence illustrating that our approach out-beats the machine learning algorithm C4.5 and random guess.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
174
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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
175
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. …"
احصل على النص الكامل
article -
176
-
177
A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition
منشور في 2025"…The proposed method divides multiple regions (different data lengths) into the feature space, allowing the algorithm to learn more complex decision boundaries. …"
-
178
Predicting and Interpreting Student Performance Using Machine Learning in Blended Learning Environments in a Jordanian School Context
منشور في 0024"…These platforms enhance academic performance by fostering collaborative learning environments and generating extensive data from every user interaction. …"
احصل على النص الكامل
-
179
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. …"
احصل على النص الكامل
-
180
FoGMatch
منشور في 2019"…In this context, the notion of fog computing has been projected to furnish data analytics and decision-making closer to the IoT devices. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis