بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
models using » model using (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
models using » model using (توسيع البحث)
element » elements (توسيع البحث)
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801
Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis
منشور في 2023"…Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …"
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article -
802
Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis
منشور في 2023"…<p>Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …"
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803
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804
A pragmatic approach for testing robustness on real-time component based systems
منشور في 2005"…Each tester is dedicated to test a single SUT component. A test execution algorithm with an approach to handle testers coordination and execution delay is presented. …"
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conferenceObject -
805
Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition
منشور في 2019"…Unlike existing solutions, MUSEC is: (i) a hybrid crossover between supervised learning (SL, to learn sentiments from music) and evolutionary computation (for music composition, MC), where SL serves at the fitness function of MC to compose music that expresses target sentiments, (ii) extensible in the panel of emotions it can convey, producing pieces that reflect a target crisp sentiment (e.g., love) or a collection of fuzzy sentiments (e.g., 65% happy, 20% sad, and 15% angry), compared with crisp-only or two-dimensional (valence/arousal) sentiment models used in existing solutions, (iii) adopts the evolutionary-developmental model, using an extensive set of specially designed music-theoretic mutation operators (trille, staccato, repeat, compress, etc.), stochastically orchestrated to add atomic (individual chord-level) and thematic (chord pattern-level) variability to the composed polyphonic pieces, compared with traditional evolutionary solutions producing monophonic and non-thematic music. …"
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article -
806
Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging
منشور في 2023احصل على النص الكامل
doctoralThesis -
807
Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer
منشور في 2015"…</p><h3>Methods</h3><p dir="ltr">In-silico modeling and Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNe) on IBC/non-IBC (nIBC) gene expression data (n = 197) was employed to identify novel master regulators connected to the IBC phenotype. …"
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808
An Infrastructure-Assisted Crowdsensing Approach for On-Demand Traffic Condition Estimation
منشور في 2019"…Our approach combines the strengths of mobile crowdsensing, with the support of the mobile infrastructure, a multi-criteria algorithm for the participants' selection, and a deductive rule-based model for traffic condition estimation. …"
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article -
809
Active distribution network type identification method of high proportion new energy power system based on source-load matching
منشور في 2023"…Firstly, the typical daily output scenarios of DG are extracted by clustering method, and the generalized load curve model is solved by the optimization algorithm to obtain the source load operation data; Secondly, calculate the source-load matching indicators (including matching performance, matching degree, and matching rate) according to the source load data of each region, and identify the distribution network type according to the range of the index values; Finally, several indicators are introduced to quantify the characteristics of different types of distribution networks. …"
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article -
810
DAP: A dataset-agnostic predictor of neural network performance
منشور في 2024"…To this end, we propose a dataset-agnostic regression framework that uses a novel dual-LSTM model and a new dataset difficulty feature. …"
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811
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812
A comparative analysis to forecast carbon dioxide emissions
منشور في 2022"…The root mean square error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE) are used to analyze and compare the performances of the predictive models. …"
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813
AI-Based Methods for Predicting Required Insulin Doses for Diabetic Patients
منشور في 2015"…The performance of the three algorithms is evaluated on a data set found in the public UCMI repository.…"
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article -
814
An Adaptive Sliding Mode Control for a Dual Active Bridge Converter With Extended Phase Shift Modulation
منشور في 2023"…Initially, a generalized average modeling (GAM) for the DAB converter under EPS modulation is derived, and then the proposed ASTSMC is introduced according to this model. …"
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815
Analysis of Multi-User-Based UAV System With Outdated CSI
منشور في 2024"…In addition, energy efficiency analysis is also performed for the considered system model. In this framework, altitude and location-dependent path loss modeling are considered for the air-to-ground links. …"
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816
Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects
منشور في 2023"…The situation may cause concern and trepidation about integrating AI technologies and lack understanding of their optimal deployment and operation. Construction data management and integration are difficult. AI algorithms depend on data for training and analysis. …"
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817
Nonlinear Friction Identification of A Linear Voice Coil DC Motor
منشور في 2015احصل على النص الكامل
doctoralThesis -
818
Seasonal variations in feed-water chemistry and fouling dynamics of reverse-osmosis systems: A global climate lens
منشور في 2025"…Future installations should align membrane materials, pretreatment systems, and control algorithms with site-specific hydrological calendars.…"
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819
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820