بدائل البحث:
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
implementing » implemented (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
implementing » implemented (توسيع البحث)
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281
A Fuzzy Low-Dimensional Intersection Graph Representation Approach for Graph Compression and Anonymization
منشور في 2021"…The large amount of data represented as a network, or graph, sometimes exceeds the resources of a conventional computing device. …"
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masterThesis -
282
Degree-Based Network Anonymization
منشور في 2020"…Our thorough experimental studies provide empirical evidence of the effectiveness of the new approach; by specifically showing that the introduced anonymization algorithm has a negligible effect on the way nodes are clustered, thereby preserving valuable network information while significantly improving the data privacy.…"
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masterThesis -
283
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284
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285
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286
Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques
منشور في 2022"…This paper covered the most resent and important researchers in the domain of renewable problems using the learning-based methods. Various types of Deep Learning (DL) and Machine Learning (ML) algorithms employed in Solar and Wind energy supplies are given. …"
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287
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288
Digital Image Watermarking Using Balanced Multiwavelets
منشور في 2006"…In this paper, a robust watermarking algorithm using balanced multiwavelet transform is proposed. …"
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article -
289
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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290
Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE
منشور في 2020"…The data analytics maturity model is used as the conceptual model for evaluating both data analytics and data governance in this research. …"
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291
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292
From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors
منشور في 2021"…Unfortunately, low-cost PM sensors also come with a number of challenges that must be addressed if their data products are to be used for anything more than a qualitative characterization of air quality. …"
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293
Using machine learning for disease detection. (c2013)
منشور في 2016احصل على النص الكامل
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masterThesis -
294
Practical Multiple Node Failure Recovery in Distributed Storage Systems
منشور في 2016"…The problem is solved using genetic algorithms that search within the feasible solution space. …"
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conferenceObject -
295
Cutting‐edge technologies for detecting and controlling fish diseases: Current status, outlook, and challenges
منشور في 2024"…Here, we highlighted the potential of machine learning algorithms in early pathogen detection and the possibilities of intelligent aquaculture in controlling disease outbreaks at the farm level. …"
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296
Tracking and repairing damaged healthcare databases using the matrix
منشور في 2015"…The algorithm is based on data dependency and uses a single matrix. …"
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article -
297
Cyberbullying Detection in Arabic Text using Deep Learning
منشور في 2023"…Cyberbullying involves the use of communication technology and data, including messages, photographs, and videos, to undertake aggressive negative actions to harm others. …"
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298
Energy-aware adaptive compression for mobile devices. (c2009)
منشور في 2009احصل على النص الكامل
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masterThesis -
299
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300
LDSVM: Leukemia Cancer Classification Using Machine Learning
منشور في 2022"…DNA microarrays are also known as biochips that consist of microscopic DNA spots attached to a solid glass surface. Currently, it is difficult to classify cancers using microarray data. …"