بدائل البحث:
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
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561
An evolutionary approach to load balancing parallel computations
منشور في 1991"…It is based on a genetic algorithm that combines a number of design choices in order to ameliorate the problem of premature convergence. …"
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conferenceObject -
562
Positive Unlabelled Learning to Recognize Dishes as Named Entity
منشور في 2019"…With the lack of labelled data, I try to overcome the cold start and avoid manual labelling by building a lookup table from a dictionary. …"
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563
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 -
564
Precision nutrition: A systematic literature review
منشور في 2021"…Therefore, we carried out a Systematic Literature Review (SLR) to provide an overview of where and how machine learning has been used in Precision Nutrition from various aspects, what such machine learning models use as input features, what the availability status of the data used in the literature is, and how the models are evaluated. …"
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565
Newton-Raphson based adaptive inverse control scheme for tracking of nonlinear dynamic plants
منشور في 2006"…The U-model is utilized to design an adaptive inverse controller by using a simple root-solving algorithm of Newton-Raphson. …"
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article -
566
Timing influenced general-cell genetic floorplanner
منشور في 2020"…The first phase is implemented using genetic algorithm while in the second phase we adopt a constraint graph based approach. …"
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article -
567
EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach
منشور في 2019"…Features extracted from the proposed BoDF model have considerably smaller dimensions. The proposed model achieves better classification accuracy compared to the recently reported work when validated on SJTU SEED and DEAP data sets. …"
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568
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
منشور في 2022"…Unlike other forecasting techniques, our proposed approach first groups the countries having similar demographic and socioeconomic aspects and health sector indicators using K-means clustering algorithm. The cumulative case data of the clustered countries enriched with data related to the lockdown measures are fed to the bidirectional LSTM to train the forecasting model. …"
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569
Process Mining over Unordered Event Streams
منشور في 2020"…This requires online algorithms that, instead of keeping the whole history of event data, work incrementally and update analysis results upon the arrival of new events. …"
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570
Efficient utilization of scalable multipliers in parallel to compute GF(p) elliptic curve cryptographic operations
منشور في 2007"…This paper presents the design and implementation of an elliptic curve cryptographic core to realize point scalar multiplication operations used for the GF(p) elliptic curve encryption/decryption and the elliptic curve digital signature algorithm (ECDSA). …"
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article -
571
A novel few shot learning derived architecture for long-term HbA1c prediction
منشور في 2024"…For the first time in the literature, this work proposes a novel FSL-derived algorithm for the long-term prediction of clinical HbA1c measures. …"
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572
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573
H.264/AVC to HEVC Video Transcoder Based on Dynamic Thresholding and Content Modeling
منشور في 2014"…Then, two types of mode mapping algorithms are proposed. In the first solution, a single H.264/AVC coding parameter is used to determine the outgoing HEVC partitions using dynamic thresholding. …"
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article -
574
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 -
575
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 -
576
Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology
منشور في 2023"…As personalized medicine and toxicogenomics involve huge data processing, AI can expedite this process by providing powerful data processing, analysis, and interpretation algorithms. …"
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577
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578
Diagnostic test accuracy of AI-assisted mammography for breast imaging: a narrative review
منشور في 2025"…Although AI models have shown promising improvements in sensitivity and specificity, challenges such as algorithmic bias, interpretability, and the generalizability of models across diverse populations remain. …"
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579
Machine Learning-Based Approach for EV Charging Behavior
منشور في 2021احصل على النص الكامل
doctoralThesis -
580
Evolution Of Activation Functions for Neural Architecture Search
منشور في 2020"…In this work, we propose the use of a self-adaptive evolutionary algorithm that searches for new activation functions using a genetic programming approach, and we compare the performance of the obtained activation functions to ReLU. …"
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masterThesis