بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
element » elements (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
element » elements (توسيع البحث)
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161
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162
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. …"
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163
A method for data path synthesis using neural networks
منشور في 2017احصل على النص الكامل
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conferenceObject -
164
Indexing Arabic texts using association rule data mining
منشور في 2019"…The model denotes extracting new relevant words by relating those chosen by previous classical methods to new words using data mining rules. Design/methodology/approach The proposed model uses an association rule algorithm for extracting frequent sets containing related items – to extract relationships between words in the texts to be indexed with words from texts that belong to the same category. …"
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article -
165
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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166
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. …"
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167
What are artificial intelligence literacy and competency? A comprehensive framework to support them
منشور في 2024"…We also identify five effective learning experiences to foster abilities and confidences, and suggest five future research directions: prompt engineering, data literacy, algorithmic literacy, self-reflective mindset, and empirical research.…"
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article -
168
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169
The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review
منشور في 2021"…</p><h3>Objective</h3><p dir="ltr">This review aims to explore the machine learning algorithms used for the detection and diagnosis of bipolar disorder and its subtypes.…"
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170
Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units
منشور في 2019"…The flags pertaining to 16x16 sub CUs are used as a cover for data embedding, where 6 or 4 message bits are embedded per CU. …"
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article -
171
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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172
Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects
منشور في 2021"…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …"
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173
Auto-indexing Arabic texts based on association rule data mining. (c2015)
منشور في 2015"…Our model denotes extracting new relevant words by relating those chosen by the previous classical methods, to new words using data mining rules. The model uses the Apriori Algorithm - an association rule algorithm for extracting frequent sets containing related items - to extract relations between words in the texts to be indexed with words from texts that belong to the same category. …"
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masterThesis -
174
Using machine learning for disease detection. (c2013)
منشور في 2016"…Classification consists of predicting group membership for new data instances by learning from pre-classified data instances. …"
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masterThesis -
175
Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
منشور في 2023"…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …"
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176
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. …"
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177
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. …"
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178
Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review
منشور في 2024"…It further aids in addressing challenges like data availability and geographical variations. It has been learned that image-processing techniques overwhelm the existing research and have the potential to integrate meteorological data. …"
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179
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180
Software defect prediction. (c2019)
منشور في 2019احصل على النص الكامل
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masterThesis