IEEE

Time Series Prediction of Backend Server Load via Deep Learning and Attention Mechanisms

Abstract: This study proposes a deep learning-based time series modeling method for backend server load prediction, aiming to address the limitations of traditional approaches in handling complex ...
Frontiers

Genetic risk predictions using deep learning models with summary data

Background: As a driving force of the Fourth Industrial Revolution, deep learning methods have achieved significant success across various fields, including genetic and genomic studies. While ...
GitHub

QQ767172261/Application-of-power-load-prediction-dataset-for-substation-using-machine ...

使用机器学习或深度学习方法进行电力负荷预测处理 变电站的电力负荷预测数据集的应用 33_11 KV 变电站电力负荷预测数据集(8000多数据+电压、电流功率因数、节日、温湿度等) @[toc] 以下文字及代码仅供参考学习使用。 数据集描述： 33_11 KV 变电站电力负荷预测 ...
PNAS

A protein dynamics–based deep learning model enhances predictions of fitness and epistasis

Predicting the effects of multiple mutations on protein function is challenging due to the intricate interplay between residues. Machine learning has advanced these efforts, but traditional neural ...
Frontiers

Automatic detection and prediction of epileptic EEG signals based on nonlinear dynamics and ...

Epilepsy is a neurological disorder affecting ~50 million patients worldwide (30% refractory cases) with complex dynamical behavior governed by nonlinear differential equations. Seizures severely ...
inforum

Loons vs. Colorado: Keys to the match, storylines and a prediction

Form: Both teams went 1-1-1 in Leagues Cup for a total of four points apiece and failed to qualify for the tournament’s quarterfinals. Going back into MLS play this weekend, MNUFC (12-5-8, 44 points) ...
Scientific Research Publishing

Comparative Study of Machine Learning Models for Load Prediction and Energy Management ()

1 Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. 2 Electrical and Communication Engineering Department, United Arab Emirates University, Al ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...