بدائل البحث:
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
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221
A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method
منشور في 2022"…Every communication body wants to secure their data while communicating over the Internet. The internet has various benefits but the main demerit is the privacy and security and the transmission of data over insecure network or channel may happen. …"
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222
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223
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224
Nonlinear analysis of shell structures using image processing and machine learning
منشور في 2023"…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"
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225
Energy-aware adaptive compression for mobile devices. (c2009)
منشور في 2009احصل على النص الكامل
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masterThesis -
226
A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants
منشور في 2006"…The U-model utilizes only past data for plant modelling and standard root solving algorithm for control law formulation. …"
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article -
227
Modelling surface currents in the Eastern Levantine Mediterranean using surface drifters and satellite altimetry
منشور في 2016"…We present a new and fast method that blends altimetric and drifter positions data in order to predict the surface velocity in the Eastern Levantine Mediterranean. …"
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article -
228
Global smart cities classification using a machine learning approach to evaluating livability, technology, and sustainability performance across key urban indices
منشور في 2025"…The methodology involves data preparation with <u>imputation</u> and normalization, followed by training 9 supervised ML models. …"
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229
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230
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 -
231
Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning
منشور في 2022احصل على النص الكامل
doctoralThesis -
232
Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing
منشور في 2015احصل على النص الكامل
doctoralThesis -
233
Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing
منشور في 2015احصل على النص الكامل
doctoralThesis -
234
Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma
منشور في 2019"…<h3>Background</h3><p dir="ltr">Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. …"
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235
Single channel speech denoising by DDPG reinforcement learning agent
منشور في 2025"…It achieves this performance by utilizing data that is 7 times smaller than that required by other models. …"
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236
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237
C-3PA: Streaming Conformance, Confidence and Completeness in Prefix-Alignments
منشور في 2023"…The aim of streaming conformance checking is to find dis crepancies between process executions on streaming data and the refer ence process model. The state-of-the-art output from streaming confor mance checking is a prefix-alignment. …"
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238
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239
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240