بدائل البحث:
training algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
develop » developed (توسيع البحث)
training algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
develop » developed (توسيع البحث)
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221
Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast d...
منشور في 2020"…<h3>Objective</h3><p dir="ltr">To develop a machine-based algorithm from clinical and demographic data, physical activity and glucose variability to predict hyperglycaemic and hypoglycaemic excursions in patients with type 2 diabetes on multiple glucose lowering therapies who fast during Ramadan.…"
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222
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223
An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System
منشور في 2019"…Therefore, for this paper multiple machine learning algorithms are investigated to predict system failure based on vehicle trips information as well as maintenance management historical data including preventive maintenance and corrective maintenance. …"
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224
Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
منشور في 2023"…While artificial intelligence (AI) smooths the path of computers to think like humans, machine learning (ML) and deep learning (DL) pave the way more, even by adding training and learning components. …"
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225
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 -
226
A TABU SEARCH APPROACH TO THE CLUSTERING PROBLEM
منشور في 2020"…In this paper, we develop a new algorithm for solving this problem based on a tabu search technique. …"
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article -
227
Tabu Search For A Class Of Single-Machine Scheduling Problems
منشور في 2020"…The performance of the developed algorithm is tested for solving the variance minimization problem. …"
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article -
228
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229
Deep Reinforcement Learning for Resource Constrained HLS Scheduling
منشور في 2022"…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …"
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masterThesis -
230
Turbo-charging dominating set with an FPT subroutine
منشور في 2017"…Turbo-charging is a recent algorithmic technique that is based on the fixed-parameter tractability of the dynamic versions of some problems as a way to improve heuristics. …"
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conferenceObject -
231
UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices
منشور في 2019"…Then, we develop an effective sub-optimal algorithm based on successive convex approximation in order to obtain results for larger network scenarios. …"
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article -
232
Regression testing C# programs. (c2007)
منشور في 2007احصل على النص الكامل
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masterThesis -
233
A new estimator and approach for estimating the subpopulation parameters
منشور في 2021"…<p dir="ltr">Based on some theoretical results, we recommend a new algorithm for estimating the total and mean of a subpopulation variable for the case of a known subpopulation size, which is different from the algorithm recommended by most of sampling books. …"
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234
Adaptive PID Controller for a Non Linear Pendulum System Using Recurrent Neural Networks
منشور في 2005احصل على النص الكامل
doctoralThesis -
235
Performance comparison of variable-stepsize IMEX SBDF methods on advection-diffusion-reaction models
منشور في 2025"…We develop an adaptive time-stepping and error control algorithm for VSSBDF methods up to fourth order based on a step-doubling refinement technique using estimates of the local truncation errors. …"
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236
Performance comparison of variable-stepsize IMEX SBDF methods on advection-diffusion-reaction models
منشور في 2025"…We develop an adaptive time-stepping and error control algorithm for VSSBDF methods up to fourth order based on a step-doubling refinement technique using estimates of the local truncation errors. …"
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237
Inferential sensing techniques in industrial applications
منشور في 0007"…Inferential sensing technique is a method to estimate certain quantities based on a set of conventional measurements. The core of inferential sensing is based on modeling and estimation techniques. …"
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masterThesis -
238
An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation
منشور في 2001"…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic algorithms is proposed, in which we engineer state justification sequences vector by vector. …"
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239
An evolutionary meta-heuristic for state justification insequential automatic test pattern generation
منشور في 2001"…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic Algorithms is proposed, in which we engineer state justification sequences vector by vector. …"
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article -
240
Automated quantification of penile curvature using artificial intelligence
منشور في 2022"…<h3>Objective</h3><p dir="ltr">To develop and validate an artificial intelligence (AI)-based algorithm for capturing automated measurements of Penile curvature (PC) based on 2-dimensional images.…"