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View article: Prevalence and associated factors of medication-related problems among epileptic patients at ambulatory clinic of Mettu Karl Comprehensive Specialized Hospital: a cross-sectional study
Prevalence and associated factors of medication-related problems among epileptic patients at ambulatory clinic of Mettu Karl Comprehensive Specialized Hospital: a cross-sectional study Open
Background Despite appropriate treatment of epilepsy, the treatment outcome is poor in developing country. Therefore, the study was aimed to identify the magnitude and associated factors of epileptic patients at ambulatory clinic of south …
View article: Roadmap for machine learning based network-on-chip (M/L NoC) technology and its analysis for researchers
Roadmap for machine learning based network-on-chip (M/L NoC) technology and its analysis for researchers Open
A few decades ago, communication inside the chip is done by transferring signals between the cores. This conventional method is not worthy because of the increase in latency and power consumption. To rectify this issue Network-on-Chip (NoC…
View article: Attention-Based Long Short-Term Memory Recurrent Neural Network for Capacity Degradation of Lithium-Ion Batteries
Attention-Based Long Short-Term Memory Recurrent Neural Network for Capacity Degradation of Lithium-Ion Batteries Open
Monitoring cycle life can provide a prediction of the remaining battery life. To improve the prediction accuracy of lithium-ion battery capacity degradation, we propose a hybrid long short-term memory recurrent neural network model with an…
View article: Ensemble Model Based on Stacked Long Short-Term Memory Model for Cycle Life Prediction of Lithium–Ion Batteries
Ensemble Model Based on Stacked Long Short-Term Memory Model for Cycle Life Prediction of Lithium–Ion Batteries Open
To meet the target value of cycle life, it is necessary to accurately assess the lithium–ion capacity degradation in the battery management system. We present an ensemble model based on the stacked long short-term memory (SLSTM), which is …
View article: Long Short-Term Memory With Attention Mechanism for State of Charge Estimation of Lithium-Ion Batteries
Long Short-Term Memory With Attention Mechanism for State of Charge Estimation of Lithium-Ion Batteries Open
Evaluating the state-of-charge of the battery's current cycle is one of the major tasks in the charge management of rechargeable batteries. We propose a long short-term memory model with an attention mechanism to estimate the charging stat…