بدائل البحث:
mining algorithm » cosine algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
levels using » cells using (توسيع البحث)
element » elements (توسيع البحث)
jaya » maya (توسيع البحث), aya (توسيع البحث), jana (توسيع البحث)
mining algorithm » cosine algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
levels using » cells using (توسيع البحث)
element » elements (توسيع البحث)
jaya » maya (توسيع البحث), aya (توسيع البحث), jana (توسيع البحث)
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161
An automated temporal partitioning tool for a class of DSP applications
منشور في 1998احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
162
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163
On the Provisioning of Ultra-Reliable Low-Latency Services in IoT Networks with Multipath Diversity
منشور في 2020"…Simulation results are presented for both parts of the thesis to illustrate the effectiveness of the proposed solutions and algorithms in comparison with optimal solutions and baseline algorithms.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
164
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165
Measuring ripple effect for object-oriented programs. (c2004)
منشور في 2004احصل على النص الكامل
احصل على النص الكامل
masterThesis -
166
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167
The architecture of a highly reconfigurable RISC dataflow array processor
منشور في 2020"…The array can be programmed to execute arbitrary algorithms in both static and dynamic manner. The processor array is modelled at the behavioural level in VHDl. …"
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article -
168
A hybrid model for the optimum integration of renewable technologies in power generation systems
منشور في 2011"…The optimization model developed uses a genetic algorithm (GA) technique for the calculation of both the additional cost of electricity due to the penetration of RES-E technologies as well as the required RES-E levy in the electricity bills in order to fund this RES-E penetration. …"
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article -
169
Large language models for code completion: A systematic literature review
منشور في 2024"…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. While several research papers have focused on the use of LLMs for code completion, these studies are fragmented, and there is no systematic overview of the use of LLMs for code completion. …"
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170
Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging
منشور في 2023احصل على النص الكامل
doctoralThesis -
171
Inferential sensing techniques in industrial applications
منشور في 0007"…System delays are obtained by approximating the model by a linear model. Genetic algorithm, which is a heuristic optimization technique, is used to ¯nd the system delays of the linear model, which are used in dynamical neural network model. …"
احصل على النص الكامل
masterThesis -
172
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
منشور في 2019"…This basically follows either a feature-level or decision-level strategy. In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …"
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احصل على النص الكامل
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173
Blood Glucose Regulation Modelling and Intelligent Control
منشور في 2024احصل على النص الكامل
doctoralThesis -
174
A cluster-based model for QoS-OLSR protocol
منشور في 2017احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
175
Copy number variations in the genome of the Qatari population
منشور في 2015"…CNVs were detected in 97 unrelated Qatari individuals by running two calling algorithms on each of two primary datasets: high-resolution genotyping (Illumina Omni 2.5M) and high depth whole-genome sequencing (Illumina PE 100bp). …"
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176
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177
Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side
منشور في 2024"…Then, an adaptive estimation strategy employing a recursive least square algorithm is proposed for online dynamic model estimation, which is then used by the IMPC for optimal switching states prediction. …"
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178
Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review
منشور في 2022"…Wearable devices (WDs) make use of sensors historically reserved for hospital settings. …"
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179
Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection
منشور في 2022"…We also review methods that use machine learning algorithms to predict blood glucose trends, especially for high risk events such as hypoglycemia. …"
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180