بدائل البحث:
data optimization » dog optimization (توسيع البحث), swarm optimization (توسيع البحث), based optimization (توسيع البحث)
data selection » data injection (توسيع البحث)
data optimization » dog optimization (توسيع البحث), swarm optimization (توسيع البحث), based optimization (توسيع البحث)
data selection » data injection (توسيع البحث)
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181
Detecting sleep outside the clinic using wearable heart rate devices
منشور في 2022"…Recording periods included both 24 h free-living and conventional lab-based night-only data. We compared our optimized method against polysomnography, sleep diaries and sleep periods produced through a state-of-the-art acceleration based method. …"
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182
Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations
منشور في 2025"…To address this challenge, this study aims to optimize household energy consumption while preserving data privacy by proposing an innovative two-stage Federated Learning (FL) framework that delivers real-time micro-moment-based recommendations. …"
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183
Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark
منشور في 2021"…Parallel computing is demanded to allow for optimal resource utilization in dealing with smart grid big data. …"
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184
Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan
منشور في 2017"…Data mining (also referred to as Data Knowledge Discovery) is the practice of examining a dataset to establish the hidden patterns and knowledge in order to represent the results in an understandable format. …"
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185
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186
Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy
منشور في 2023"…Adjusting the weight and bias of the ANN model using an optimization algorithm is known as the training process. …"
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187
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
منشور في 2024"…In this paper, the proposed algorithm selects relevant observations from the original data set by utilizing a class interval technique (i.e. histogram) to maintain a bunch of representative samples from each bin. …"
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188
Scatter search for protein structure prediction. (c2008)
منشور في 2008احصل على النص الكامل
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masterThesis -
189
Finetuning Analytics Information Systems for a Better Understanding of Users: Evidence of Personification Bias on Multiple Digital Channels
منشور في 2023"…The results show that despite using the same data and algorithm, varying the number of personas strongly biases the information system’s personification of the user population. …"
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190
Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
منشور في 2023"…Our experimental design included Data Collection, Feature Engineering, ML model selection/development, and reporting evaluation of metrics.…"
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191
Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning
منشور في 2024احصل على النص الكامل
doctoralThesis -
192
Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas
منشور في 2024"…We conducted extensive simulations and compared our approach with two state-of-the-art models using traditional RL algorithms represented by a deep Q-network algorithm, a Particle Swarm Optimization (PSO) algorithm, and one greedy solution. …"
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193
An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure
منشور في 2020احصل على النص الكامل
doctoralThesis -
194
Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach
منشور في 2024احصل على النص الكامل
doctoralThesis -
195
Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO
منشور في 2022"…The primary purpose of this study is to establish a new model through machine learning methods; namely, adaptive neuro-fuzzy inference system (ANFIS) combined with particle swarm optimization (PSO) and genetic algorithm (GA) for the prediction of *CO (the key intermediate) adsorption energy as the efficiency metric. …"
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196
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197
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198
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199
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200
Practical Multiple Node Failure Recovery in Distributed Storage Systems
منشور في 2016"…Fast convergence validates the efficacy of our algorithms for different system parameters. Simulation results are shown to be close to optimal for the case of newly arriving blocks.…"
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conferenceObject