بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
-
201
Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks
منشور في 2013احصل على النص الكامل
doctoralThesis -
202
Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning
منشور في 2025"…<p dir="ltr">With the escalating intricacy and expansion of the interconnected electrical grid, the likelihood of power system (PS) collapse has escalated dramatically. There is an increased emphasis on immunizing renewable-dominated power systems from large-scale cascading failures and cyberattacks through optimal power grid partitioning (PGP). …"
-
203
Framework for rapid design and optimisation of immersive battery cooling system
منشور في 2025"…A conjugate heat transfer model for a 3S2P pouch cell module (20 Ah LiFePO₄) is developed and validated against experimental data (< 2% error). The CFD model of a battery module is developed to train an ultra-fast metamodel for battery geometry optimisation. …"
-
204
Automated systems for diagnosis of dysgraphia in children: a survey and novel framework
منشور في 2024"…This work discusses the data collection method, important handwriting features, and machine learning algorithms employed in the literature for the diagnosis of dysgraphia. …"
-
205
Optimising Nurse–Patient Assignments: The Impact of Machine Learning Model on Care Dynamics—Discursive Paper
منشور في 2025"…Future research should focus on refining algorithms, ensuring real‐time adaptability, addressing ethical considerations, evaluating long‐term patient outcomes, fostering cooperative systems, and integrating relevant data and policies within the healthcare framework.…"
-
206
A novel hybrid methodology for fault diagnosis of wind energy conversion systems
منشور في 2023"…Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. …"
-
207
Behavior-Based Machine Learning Approaches to Identify State-Sponsored Trolls on Twitter
منشور في 2020"…This phenomenon negatively affects the political process, causes distrust in the political systems, sows discord within societies, and hastens political polarization. …"
-
208
-
209
Big Data Energy Management, Analytics and Visualization for Residential Areas
منشور في 2020"…A high-speed distributed computing cluster based on commodity hardware with efficient big data mathematical algorithm is employed in this work. …"
احصل على النص الكامل
article -
210
Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
منشور في 2022احصل على النص الكامل
doctoralThesis -
211
On the P-type learning control
منشور في 1994"…Sufficient conditions for the robustness and convergence of P-type learning control algorithms for a class of time-varying, nonlinear systems are presented. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
212
An efficient approach for textual data classification using deep learning
منشور في 2022"…Textual data contains much useless information that must be pre-processed. …"
-
213
Bee colony algorithm for assigning proctors to exams. (c2013)
منشور في 2013احصل على النص الكامل
احصل على النص الكامل
masterThesis -
214
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
منشور في 2024"…The proposed method, named Eye-means, emulates the natural ocular process of estimating initial centroids. To achieve this goal, supervised machine learning was employed to train models on graphs with labeled data points, where each graph contains a set of points and a label indicating the centroid determined by K-means. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
215
Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition
منشور في 2021"…Whilst different models are proposed for STLF, they are based on small historical datasets and are not scalable to process large amounts of big data as energy consumption data grow exponentially in large electric distribution networks. …"
-
216
-
217
-
218
A novel few shot learning derived architecture for long-term HbA1c prediction
منشور في 2024"…Short-term CGM time-series data are processed using both novel image transformation approaches, as well as using conventional signal processing methods. …"
-
219
-
220