بدائل البحث:
encoding algorithm » cosine algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
element » elements (توسيع البحث)
encoding algorithm » cosine algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
element » elements (توسيع البحث)
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41
Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic
منشور في 2021"…The study explores sentiment analysis using different machine learning algorithms on dialectal Arabic text dataset. …"
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43
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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44
Using machine learning algorithm for detection of cyber-attacks in cyber physical systems
منشور في 2022"…We begin a process to cleaning up the data in the CPS database by applying normalization to eliminate errors and duplication. …"
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45
Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning
منشور في 2024احصل على النص الكامل
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47
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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48
Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm
منشور في 2020"…The problem consists of deciding the number, types, and locations of the network active elements (hubs, switches, and routers), as well as the links and their capacities. …"
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49
Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm
منشور في 2020"…The problem consists of deciding the number, types, and locations of the network active elements (hubs, switches, and routers), as well as the links and their capacities. …"
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50
Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System
منشور في 2021"…We research and test the design of the right neural networks that achieves our goal. A modern algorithm was improvised for this reason. For our proposed recommendation system, a database program was created to store data and include details in the analysis of course learning outcomes. …"
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51
Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology
منشور في 2023"…In this study, the emergency control algorithms based on ensemble machine learning algorithms (XGBoost and Random Forest) were developed for a low-inertia power system. …"
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52
Enhancing Personalized Learning Experiences through AI-driven Analysis of xAPI Data
منشور في 2024"…The Experience API (xAPI) provides a comprehensive mechanism to document all types of learning interactions, storing this stream of data into the Learning Record Store (LRS). …"
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53
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54
Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning
منشور في 2024احصل على النص الكامل
doctoralThesis -
55
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56
Predict Student Success and Performance factors by analyzing educational data using data mining techniques
منشور في 2022"…The research study is performed as experimental analysis and develop models from nine machine learning algorithms including KNN, Naïve Bayes, SVM, Logistic regression, Decision Tree, Random forest, Adaboost, Bagging Classifier, and voting Classifier. …"
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57
Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
منشور في 2025"…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R<sup>2</sup> = 0.05 to 0.99 in a representative thiophene set. …"
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The effects of data balancing approaches: A case study
منشور في 2023"…<p dir="ltr">Imbalanced datasets affect the performance of machine learning algorithms adversely. To cope with this problem, several resampling methods have been developed recently. …"
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60
A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network
منشور في 2019"…Featuring the capability of learning the correlations of time-series data, the proposed deep learning method is well-suited for extracting the valuable transient feature contained in the very beginning of the response curve. …"