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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741
An optimization approach to increasing sustainability and enhancing resilience against environmental constraints in LNG supply chains: A Qatar case study
منشور في 2022"…The developed model, which is implemented using the Binary Particle Swarm Optimization algorithm subjected to economic and environmental objectives within an overarching strategic aim for sustainability and resilience. …"
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742
A Machine Learning Approach to Predicting Diabetes Complications
منشور في 2021احصل على النص الكامل
doctoralThesis -
743
Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases
منشور في 2024"…To guarantee a safe and successful deployment in clinical practice, the use of AI in cardiology must be done with a thorough understanding of the algorithms and their limits. …"
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744
Exploring the System Dynamics of Covid-19 in Emergency Medical Services
منشور في 2022"…The predictive analysis yielded a model of response times for emergency missions through machine learning, specifically using a random forest algorithm. …"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
745
Multigrid solvers in reconfigurable hardware
منشور في 2008"…We compare our findings with a C++ version of each algorithm. The obtained results show better performance when compared to existing software versions.…"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
746
Precision nutrition: A systematic literature review
منشور في 2021"…Models were through the use of four groups of approaches and 23 evaluation metrics. …"
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747
A FeedForward–Convolutional Neural Network to Detect Low-Rate DoS in IoT
منشور في 2022"…The performance of the models is measured using the metrics accuracy, precision, recall, F1 score, detection time per flow, and ROC curves. …"
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748
MoveSchedule
منشور في 1995"…MoveSchedule is validated using realistic project data and its solution is qualitatively assessed by an experienced engineer on that project.…"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
749
Machine Learning-Based Approach for EV Charging Behavior
منشور في 2021احصل على النص الكامل
doctoralThesis -
750
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751
Prototype project management tool (PPMT) with cocomo calibration. (c1998)
منشور في 1998احصل على النص الكامل
احصل على النص الكامل
masterThesis -
752
Optimal supercharge scheduling of electric vehicles
منشور في 2018"…Simulation results showed the efficacy of the ILP model when compared to naive as well as sophisticated scheduling heuristics. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
753
Generic metadata representation framework for social-based event detection, description, and linkage
منشور في 2020"…SEDDaL consists of four main modules for: i) describing social media objects in a generic Metadata Representation Space Model (MRSM) consisting of three composite dimensions: temporal, spatial, and semantic, ii) evaluating the similarity between social media objects’ descriptions following MRSM, iii) detecting events from similar social media objects using an adapted unsupervised learning algorithm, where events are represented as clusters of objects in MRSM, and iv) identifying directional, metric, and topological relationships between events following MRSM’s dimensions. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
754
PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits
منشور في 2022"…Before finding toxicity triggers, we built and evaluated various machine learning models to detect toxicity from Reddit comments. Subsequently, we used our best-performing model, a fine-tuned Bidirectional Encoder Representations from Transformers (BERT) model that achieved an area under the receiver operating characteristic curve (AUC) score of 0.983 to detect toxicity. …"
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755
Optimal Routing Protocol in Multimedia Wireless Sensor Networks
منشور في 2011احصل على النص الكامل
doctoralThesis -
756
Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review
منشور في 2023"…All included studies were published between 2021 and 2022, with a total of nine different AI algorithms reported. Among these AI models, the accuracy of TKA femoral component sizing prediction ranged from 88.3 to 99.7% within a deviation of one size, while tibial component sizing exhibited an accuracy ranging from 90 to 99.9% ± 1 size.…"
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757
A novel on design and implementation of hybrid MPPT controllers for solar PV systems under various partial shading conditions
منشور في 2024"…The studied hybrid optimization MPPT methods are equated in terms of oscillations across MPP, output power extraction, settling time of the MPP, dependency on the PV modeling, operating duty value of the converter, error finding accuracy of MPPT, algorithm complexity, tracking speed, periodic tuning required, and the number of sensing parameters utilized. …"
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758
Neural network-based failure rate prediction for De Havilland Dash-8 tires
منشور في 2006"…An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as a learning rule is developed. …"
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article -
759
Determination Of The Optimal Process Means And Production Cycles For Multistage Production Systems Subject To Process Deterioration
منشور في 2020"…A Hook and Jeeves search algorithm is used to optimize the model, and a numerical example is provided. …"
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article -
760
The role of Reinforcement Learning in software testing
منشور في 2023"…</p><h3>Results</h3><p dir="ltr">This study highlights different software testing types to which RL has been applied, commonly used RL algorithms and architecture for learning, challenges faced, advantages and disadvantages of using RL, and the performance comparison of RL-based models against other techniques.…"