بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
waste modeling » system modeling (توسيع البحث), based modeling (توسيع البحث), elastic modeling (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
waste modeling » system modeling (توسيع البحث), based modeling (توسيع البحث), elastic modeling (توسيع البحث)
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CNN and HEVC Video Coding Features for Static Video Summarization
منشور في 2022احصل على النص الكامل
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A Review of the Genetic Algorithm and JAYA Algorithm Applications
منشور في 2022"…This study throws the light on two metaheuristic algorithms and enable researchers to leverage the potential of adapting them in whatever applications they may have either in engineering, computer science, or business. …"
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Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network
منشور في 2020"…An Artificial neural network (ANN) algorithm was developed to model and optimize the cumulative methane production (CMP) from ASWs, CM, and their mixture under mesophilic and thermophilic conditions. …"
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Automatic Video Summarization Using HEVC and CNN Features
منشور في 2022احصل على النص الكامل
doctoralThesis -
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An enhanced quorum selection algorithm
منشور في 2009احصل على النص الكامل
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احصل على النص الكامل
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An Improved Quorum Selection Algorithm
منشور في 2008احصل على النص الكامل
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احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
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Squirrel Search Algorithm for Portfolio Optimization
منشور في 2019"…SSA is a very recent swarm intelligence algorithm inspired by the dynamic foraging behavior of flying squirrels. …"
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احصل على النص الكامل
masterThesis -
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Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection
منشور في 2022"…Convolutional and recurrent neural networks, support vector machines, and decision trees are examples of such machine learning algorithms. Finally, we address the key limitations and challenges of these studies and provide recommendations for future work.…"