Results 61 to 70 of about 6,356,098 (354)

An Improved Anti-Jamming Method Based on Deep Reinforcement Learning and Feature Engineering

IEEE Access, 2022
To improve the performance of anti-jamming communication in dynamic and adversarial jamming environment, an improved anti-jamming method is proposed based on deep reinforcement learning and feature engineering.
Xin Chang, Yanbin Li, Yan Zhao, Yufeng Du, Donghui Liu   +4 more
doaj   +1 more source

Synergistic Feature Engineering and Ensemble Learning for Early Chronic Disease Prediction

IEEE Access
Chronic diseases, a global public health challenge, necessitate the deployment of cutting-edge predictive models for early diagnosis and personalized interventions.
Hamdi A. Al-Jamimi
semanticscholar   +1 more source

Feature Engineering and Artificial Intelligence-Supported Approaches Used for Electric Powertrain Fault Diagnosis: A Review

IEEE Access, 2022
Electric powertrain is constituted by electric machine transmission unit, inverter and battery packs, etc., is a highly-integrated system. Its reliability and safety are not only related to industrial costs, but more importantly to the safety of human ...
Xiaotian Zhang, Yihua Hu, Jiamei Deng, Hui Xu, H. Wen   +4 more
semanticscholar   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Benchmarking automated feature engineering in oxidative coupling of methane and the impact of domain knowledge

Results in Chemistry
In materials informatics, feature engineering is an essential process that improves model accuracy and model interpretability. In this study, efficient methods for feature engineering were investigated. Existing libraries (TPOT, autofeat, Feature-engine,
Jun Maki, Hiromasa Kaneko
doaj   +1 more source

A Comparative Study of Deep Learning Models on Tropospheric Ozone Forecasting Using Feature Engineering Approach

Atmosphere, 2023
This paper investigates the effect of the architectural design of deep learning models in combination with a feature engineering approach considering the temporal variation in the features in the case of tropospheric ozone forecasting.
Reza Rezaei, Behzad Naderalvojoud, Gülen Güllü   +2 more
doaj   +1 more source

Effective Feature Engineering Framework for Securing MQTT Protocol in IoT Environments

Italian National Conference on Sensors
The explosive growth of the domain of the Internet of things (IoT) network devices has resulted in unparalleled ease of productivity, convenience, and automation, with Message Queuing Telemetry Transport (MQTT) protocol being widely recognized as an ...
Abdulelah Al Hanif, Mohammad Ilyas
semanticscholar   +1 more source

The anti‐CRISPR protein AcrIE8.1 inhibits the type I‐E CRISPR‐Cas system by directly binding to the Cascade subunit Cas11

FEBS Letters, EarlyView.
In this study, we present the structure of AcrIE8.1, a previously uncharacterized anti‐CRISPR protein that inhibits the type I‐E CRISPR‐Cas system. Through a combination of structural and biochemical analyses, we demonstrate that AcrIE8.1 directly binds to the Cas11 subunit of the Cascade complex to inhibit the CRISPR‐Cas system.
Young Woo Kang, Hyun Ho Park
wiley   +1 more source

Non-destructive assessment of soluble solids content in kiwifruit using hyperspectral imaging coupled with feature engineering

Frontiers in Plant Science
The maturity of kiwifruit is widely gauged by its soluble solids content (SSC), with accurate assessment being essential to guarantee the fruit’s quality.
Wei Xu, Wei Xu, Liangzhuang Wei, Wei Cheng, Xiangwei Yi, Yandan Lin, Yandan Lin, Yandan Lin   +7 more
doaj   +1 more source

A Demand Forecasting Framework With Stagewise, Piecewise, and Pairwise Selection Techniques

IEEE Access, 2021
We propose an innovative electricity demand forecasting framework based on three model-selection techniques to maximize the forecasting accuracy. In the framework, we forecast the day-ahead electricity demand every 15 minutes based on temperature and ...
Sooyeon Kim, Duehee Lee
doaj   +1 more source