بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
over algorithm » deer algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
element » elements (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
over algorithm » deer algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
element » elements (توسيع البحث)
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121
A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem
منشور في 2008"…The use of the finite element method allows the use of variable unstructured meshing and different types of elements within the same model which leads to a reduced size of the problem. …"
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article -
122
Positive Unlabelled Learning to Recognize Dishes as Named Entity
منشور في 2019"…The results show how we can automate entity recognition process, using dictionaries and machine learning techniques and achieve an acceptable accuracy of 67% and boost the newly discovered entities by around 15% using Positive Unlabelled learning over automatically build lookup table. This research has the potential to be extended to other topics other than food and dish names, also it acts as a framework and algorithm independent.…"
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123
Downlink channel estimation for IMT-DS
منشور في 2001"…The proposed schemes are assessed over the IMT-DS system by performing simulations…"
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article -
124
Query acceleration in distributed database systems
منشور في 2001"…Query optimization strategies aim to minimize the cost of transferring data across networks. Many techniques and algorithms have been proposed to optimize queries. …"
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article -
125
An Infrastructure-Assisted Workload Scheduling for Computational Resources Exploitation in the Fog-Enabled Vehicular Network
منشور في 2020"…Among these parameters are the variability of vehicles availability and their computational power, the individual tasks’ weighted priorities and their deadlines, the tasks required computational power as well as the required data to upload/download. This article proposes an infrastructure-assisted task scheduling scheme where the roadside unit receives computational tasks from different sources and schedules these tasks over a computationally capable vehicle residing within the roadside unit’s range. …"
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article -
126
Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea
منشور في 2018"…Lagrangian tracking of passive tracers in a stochastic velocity field within a sequential ensemble data assimilation framework is challenging due to the exponential growth in the number of particles. …"
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article -
127
MoveSchedule
منشور في 1995"…Four different space profiles describe variations in resource space needs over time. The timing of these needs is inferred from the activity schedule. …"
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masterThesis -
128
An Infrastructure-Assisted Crowdsensing Approach for On-Demand Traffic Condition Estimation
منشور في 2019"…However, the current solutions proposed for the use of crowdsensing for the collection of traffic related data adopt an opportunistic continuous sensing approach, which entails high resource consumption on the server and mobile device side, a high communication overhead, while offering little control of the users over the sensing activity. …"
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article -
129
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 -
130
Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
منشور في 2022"…These methods generally disaggregate the original time series data into sub-time-series with better stationarity, and then the target data is predicted based on the sub-series. …"
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131
Communications in electronic textile systems
منشور في 2017"…Abstract- Electronic textiles (e-textiles) are emerging as a novel method for constructing electronic systems in wearable and large area applications. …"
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conferenceObject -
132
Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method
منشور في 2021"…The proposed model is thoroughly assessed through an empirical study using a real data set from Australia. The simulation results confirm the performance superiority of the proposed model over the existing forecasting models with the lowest average root mean square error and mean absolute percentage error of 3.88kW and 2.30%, respectively.…"
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133
Ensemble Deep Random Vector Functional Link Neural Network for Regression
منشور في 2022"…Subsequently, we propose a novel regularization method [boosted factor (BF)], two dRVFLs variants [edRVFL with skip connection (edRVFL-SC) and edRVFL with random skip connections (edRVFL-RSC)] and one strategy [ensemble skip connection edRVFL (esc-edRVFL)] which show significant improvement over the original dRVFL. The BF is a newly introduced hyperparameter to scale the values of the activated hidden neurons to accommodate the diversity of the data, and it is also able to filter the neurons. edRVFL-SC and edRVFL-RSC are the edRVFL variants with skip connections. …"
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134
A lightweight adaptive compression scheme for energy-efficient mobile-to-mobile file sharing applications
منشور في 2011"…However, the computational as well as memory access requirements of compression algorithms could consume more energy than simply transmitting data uncompressed. …"
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article -
135
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136
AI-Based Methods for Predicting Required Insulin Doses for Diabetic Patients
منشور في 2015"…Treating diabetes mellitus requires patients to retrieve multiple measurements daily over multiple years. This results in an enormous amount of data. …"
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article -
137
A Machine Learning Approach to Predicting Diabetes Complications
منشور في 2021احصل على النص الكامل
doctoralThesis -
138
Axes-Based Encryption Key
منشور في 2018"…Nowadays, security has become an essential part in our daily life; from protecting mobile chats to bank accounts to confidential data. It is everywhere due to the huge amount of data stored and transmitted over public and unsecure networks. …"
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conferenceObject -
139
ISSP
منشور في 2017"…Many decision-support tools were developed to assist planners in space scheduling but these were limited to providing the user with a platform that ties spatial and temporal data in the project and left it up to the user to decide on positions of resources and schedule adjustments to solve spatial conflicts that may arise in the process of constructing site layouts over time.The ISSP system, presented here, provides a graphical user-interactive interface with underlying layout and scheduling algorithms that construct feasible layout and schedule solutions under 2-dimensional spatial constraints between resources. …"
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conferenceObject -
140
An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System
منشور في 2019"…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …"
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