Results 301 to 310 of about 8,286,998 (397)

Comparative analysis of dimensionality reduction techniques for EEG-based emotional state classification. [PDF]

Am J Neurodegener Dis
Sadegh-Zadeh SA, Sadeghzadeh N, Soleimani O, Shiry Ghidary S, Movahedi S, Mousavi SY.   +5 more
europepmc   +1 more source

A Review of Dimensionality Reduction Techniques for Efficient Computation

Procedia Computer Science, 2019
S. Velliangiri, S. Alagumuthukrishnan, S Iwin Thankumar joseph   +2 more
semanticscholar   +1 more source

Numerical Studies of Influencing Factors on the Homogeneity of the Powder Mixture during the Powder Spreading Process of Powder Bed Fusion–Laser Beam/Metal

Advanced Engineering Materials, EarlyView.
AISI 304L stainless steel powder is mixed with silicon nitride (Si3N4) powder and processed by PBF‐LB/M, allowing partial retention of Si3N4. The numerical approach effectively predicts the Si3N4 powder homogeneity and N content distribution on the powder bed. Recent studies have focused on the alloying of nitrogen (N) in high‐alloy stainless steels by
Yuanbin Deng, Ziping Sang, Jiali Zhang, Felix Radtke, Louis Becker, Simone Herzog, Sebastian Weber, Christoph Broeckmann   +7 more
wiley   +1 more source

A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction. [PDF]

Sci Rep
Talukder MA, Khalid M, Sultana N.
europepmc   +1 more source

Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture

Advanced Engineering Materials, EarlyView.
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee, Mahdi Askari‐sedeh, Ali Zolfagharian, Mostafa Baghani   +3 more
wiley   +1 more source

A hybrid approach for intrusion detection in vehicular networks using feature selection and dimensionality reduction with optimized deep learning. [PDF]

PLoS One
Hassan F, Syed ZS, Memon AA, Alqahtany SS, Ahmed N, Reshan MSA, Asiri Y, Shaikh A.   +7 more
europepmc   +1 more source

Soft‐Layered Composites with Wrinkling‐Activated Multi‐Linear Elastic Behavior, Stress Mitigation, and Enhanced Strain Energy Storage

Advanced Engineering Materials, EarlyView.
In this study, exciting new bi‐/multi‐linear elastic behavior of soft elastic composites that accompany the activation of wrinkling in the embedded interfacial layers is analyzed. The new features and performance of these composite materials, including dramatic enhancements in energy storage, can be tailored by the concentration of interfacial layers ...
Narges Kaynia, Nicholas Xuanlai Fang, Mary C. Boyce   +2 more
wiley   +1 more source

Two-Dimensional DOA Estimation for Coprime Planar Arrays: From Array Structure Design to Dimensionality-Reduction Root MUSIC Algorithm. [PDF]

Sensors (Basel)
Shi Y, Zhang X, Han S.
europepmc   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Author Correction: Analysis of dryness in cement-based mixture via spectral imaging and dimensionality reduction. [PDF]

Sci Rep
Kang HJ, Kim C, Chae S, Kim GS, Jeon W, Yi J, Oh SJ, Park Y.   +7 more
europepmc   +1 more source