بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data modeling » data models (توسيع البحث), spatial modeling (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data modeling » data models (توسيع البحث), spatial modeling (توسيع البحث)
-
181
Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
منشور في 2022احصل على النص الكامل
doctoralThesis -
182
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
منشور في 2024"…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 -
183
An efficient approach for textual data classification using deep learning
منشور في 2022"…<p dir="ltr">Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset training data. …"
-
184
Data mining approach to predict student's selection of program majors
منشور في 2019"…The approach includes a methodology to manage data mining projects, sampling techniques to handle imbalanced data and multiclass data, a set of classification algorithms to predict and measures to evaluate performance of models. …"
احصل على النص الكامل
-
185
Use of Data Mining Techniques to Detect Fraud in Procurement Sector
منشور في 2022"…The method used in this research is a classification of models and algorithms used in data mining. All techniques also will be studied; they include clustering, tracking patterns, classifications and outlier detection. …"
احصل على النص الكامل
-
186
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 -
187
Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn...
منشور في 2020"…LR with the reduced feature set using the intersection between CS and RFE proved to be the best model among the tested algorithms. This model can be used in a clinical setting as a decision support system or for public health awareness as an informal risk prediction system. …"
احصل على النص الكامل
-
188
Advancing Data Center Networks: A Focus on Energy and Cost Efficiency
منشور في 2023"…These topologies must incorporate fault-tolerant and efficient routing algorithms. Consequently, the data center network topology must dynamically adapt to ever-changing application requirements. …"
-
189
-
190
An image processing and genetic algorithm-based approach for the detection of melanoma in patients
منشور في 2018"…The second phase classifies lesions using a Genetic Algorithm. Our technique shows a significant improvement over other well-known algorithms and proves to be more stable on both training and testing data.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
191
-
192
A method for optimizing test bus assignment and sizing for system-on-a-chip
منشور في 2017"…We present experimental results that demonstrate the effectiveness of our method while outperforming reported techniques.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
193
-
194
The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs
منشور في 2023"…Our framework aims to empirically analyze the joint impact of these factors on the training landscape of HQNNs. Our results show that the occurrence of the BP problem in HQNNs is contingent upon the expressibility of the underlying ansatz and the type of the adopted data encoding technique. …"
-
195
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 -
196
Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining
منشور في 2021"…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. …"
احصل على النص الكامل
-
197
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
منشور في 2024"…Generally, RKPCA reduces the number of samples in the training data set and then builds the KPCA model based on this data set. …"
-
198
Trajectory Planning and Resource Allocation of Multiple UAVs for Data Delivery in Vehicular Networks
منشور في 2019"…Then, we develop an efficient algorithm to sequentially solve this problem. Our numerical results demonstrate the effectiveness of our proposed design and show that during the mission time, the UAVs adapt their velocities in order to fulfill the requirement of each vehicle.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
199
LaScaDa: A Novel Scalable Topology for Data Center Network
منشور في 2020"…<p dir="ltr">The growth of cloud-based services is mainly supported by the core networking infrastructures of large-scale data centers, while the scalability of these services is influenced by the performance and dependability characteristics of data centers. …"
-
200
RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems.
منشور في 2020"…Our main contributions are: (i) a mechanism based on graph transformations to explore alternative execution strategies; (ii) a novel graph-based approach to determine efficient data movement plans among subtasks and platforms; and (iii) an efficient plan enumeration algorithm, based on a novel enumeration algebra. …"