بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
deer algorithm » search algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
element deer » elementi per (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
deer algorithm » search algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
element deer » elementi per (توسيع البحث)
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241
Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning
منشور في 2022"…For sentiment analysis, pre-processing is a crucial step in the data preparation process. …"
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242
A Novel Encryption Method for Dorsal Hand Vein Images on a Microcomputer
منشور في 2019"…Second, the pre- and post-processed images were encrypted with a new encryption algorithm in the microcomputer environment. …"
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243
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244
Topology and parameter estimation in power systems through inverter-based broadband stimulations
منشور في 2015"…It combines and correlates various measurements in order to obtain an accurate snapshot of the power network parameters. To test its capabilities, the performance of this algorithm is evaluated on a small-scale test system.…"
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article -
245
Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System
منشور في 2020احصل على النص الكامل
doctoralThesis -
246
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247
Using machine learning for disease detection. (c2013)
منشور في 2016"…Classification has three main components: the classification algorithm, the pre-classified data (training data) and the un-classified data (testing data). …"
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masterThesis -
248
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249
An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
منشور في 2024"…Feature selection (FS) is the activity of defining the most contributing feature subset among all used features to improve the superiority of datasets with a large number of dimensions by selecting significant features and eliminating redundant and irrelevant ones. Therefore, this process can be seen as an optimization process. The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …"
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250
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251
Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles
منشور في 2017"…The identified a priori knowledge is used to implement an optimal Kalman filter, a multi-hypothesis Kalman filter, and a variant of the full information estimator (moving horizon estimator) to the problem at hand. The proposed algorithms are initially deployed in a simulation environment, and then the experimental data sets are fed into the algorithms to validate their performance. …"
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252
Scheduling and allocation in high-level synthesis using stochastic techniques
منشور في 2020"…Both genetic scheduling and allocation (GSA) and tabu scheduling and allocation (TSA) have been tested on various benchmarks and results obtained for data-oriented control-data flow graphs are compared with other implementations in the literature. …"
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253
Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS
منشور في 2018"…To do so, we design and construct a semantic-aware inverted index structure called SemIndex, extending the standard inverted index by constructing a tightly coupled inverted index graph that combines two main resources: a semantic network and a standard inverted index on a collection of textual data. We then provide a general keyword query model with specially tailored query processing algorithms built on top of SemIndex, in order to produce semantic-aware results, allowing the user to choose the results' semantic coverage and expressiveness based on her needs. …"
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article -
254
Modeling and Bias-Robust Estimation of the Acoustic Release of Chemotherapeutics from Liposomes
منشور في 2019"…Optimality is guaranteed by accurately identifying the underlying statistical noise characteristics in experimental data. The estimator also quantifies the bias in the release, exhibited by the experimental data. …"
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255
Competitive learning/reflected residual vector quantization for coding angiogram images
منشور في 2003"…Medical images need to be compressed for the purpose of storage/transmission of a large volume of medical data. Reflected residual vector quantization (RRVQ) has emerged recently as one of the computationally cheap compression algorithms. …"
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article -
256
Localization of Damages in Plain And Riveted Aluminium Specimens using Lamb Waves
منشور في 2018"…The TOA data of the wave reflected from the damage is used in the two arrival time difference and astroid algorithms to locate the damage in an enclosed area. …"
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257
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258
Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning
منشور في 2023"…Pre-processing is a vital part of the data preparation process for cyberbullying detection. …"
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259
A geometric-primitives-based compression scheme for testingsystems-on-a-chip
منشور في 2001"…In this paper, it is assumed that an embedded core will be used to execute the decompression algorithm and decompress the test data…"
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260
A survey and comparison of wormhole routing techniques in a meshnetworks
منشور في 1997"…They consist of many processing nodes that interact by sending messages (containing both data and synchronization information) over a communication link, between nodes. …"
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article