Results 121 to 130 of about 1,295,192 (344)

Classification with support hyperplanes [PDF]

A new classification method is proposed, called Support Hy-perplanes (SHs). To solve the binary classification task, SHs consider theset of all hyperplanes that do not make classification mistakes, referredto as semi-consistent hyperplanes. A test object
Bioch, J.C., Groenen, P.J.F., Nalbantov, G.I.   +2 more
core   +1 more source

Explaining Machine Learning by Bootstrapping Partial Marginal Effects and Shapley Values

Finance and Economics Discussion Series
Machine learning and artificial intelligence are often described as “black boxes.” Traditional linear regression is interpreted through its marginal relationships as captured by regression coefficients. We show that the same marginal relationship can be described rigorously for any machine learning model by calculating the slope of the partial ...
Thomas R. Cook, Zach D. Modig, Nathan M. Palmer   +2 more
openaire   +1 more source

Engineered Microfluidic Organoid Systems: New Paradigms for Menopause Mechanism Research and Personalized Medicine

Advanced Materials Technologies, EarlyView.
This review explores the integration of microfluidic technology with organoid systems as an innovative platform for studying menopausea complex multi‐organ condition. By enabling precise simulation of inter‐organ communication and hormone responses, microfluidic organoids offer a physiologically relevant model for investigating menopausal syndrome and ...
Qianyi Zhang, He Huang, Hongliang Dong, Qiang Ma, Hongyan Jin   +4 more
wiley   +1 more source

A Novel Multi-modal Sentiment Analysis Based on Multiple Kernel Learning with Margin-Dimension Constraint

International Journal of Computational Intelligence Systems
Most of the sentiment analysis studies focus on the sentimental classification of pictures in the video, ignoring the spatio-temporal information of the sequence of picture frames as well as text and audio information.
Jun Liu, Zhihao Wang, Guangrong Wan, Jianbo Liu   +3 more
doaj   +1 more source

Comparative Analysis of Deep Convolutional Neural Network—Bidirectional Long Short-Term Memory and Machine Learning Methods in Intrusion Detection Systems

Applied Sciences
Particularly in Internet of Things (IoT) scenarios, the rapid growth and diversity of network traffic pose a growing challenge to network intrusion detection systems (NIDs).
Miracle Udurume, Vladimir Shakhov, Insoo Koo   +2 more
doaj   +1 more source

Fiber Bragg Gratings with Micro‐Engineered Temperature Coefficients

Advanced Optical Materials, Volume 13, Issue 8, March 13, 2025.
Fiber Bragg gratings (FBGs) are intrinsically responsive to temperature and strain simultaneously. In this research, low‐loss FBGs with micro‐engineered temperature coefficients are fabricated, utilizing refractive index liquid‐filled microchannels in the cladding.
Zipei Song, Mohan Wang, Frank P. Payne, Patrick S. Salter, Tongyu Liu, Steve J. Elston, Martin J. Booth, Stephen M. Morris, Julian A. J. Fells   +8 more
wiley   +1 more source

Modeling and Improving Geometric Accuracy in Projection Multiphoton Lithography

Advanced Optical Materials, EarlyView.
A numerical framework describing the optical and photochemical processes is developed to elucidate the origins of geometric deviations in projection multiphoton lithography. The results indicate that oxygen diffusion and inhibition, and DMD diffraction, lead to geometric distortions.
Anwarul Islam Akash, Jason E. Johnson, Xianfan Xu   +2 more
wiley   +1 more source

A Review of Various Machine Learning Techniques and its Application on IoT and Cloud Computing

Tikrit Journal of Pure Science
The employ of Internet of Things has become an integral part of our daily life, especially in developed countries and societies, which in turn are considered to be one of the basic areas on which the mechanisms of their work depend to a large extent the
Hardi Sabah Talabani, Ihsan Hamza Jumaa
doaj   +1 more source

Integration of Soft‐Robotics and Deep Learning to Assess the Coordinated Biosonar Emission and Reception Dynamics in Hipposiderid Bats

Advanced Robotics Research, EarlyView.
Combining a biomimetic soft‐robot with deep‐learning data analytics sheds light on a unique peripheral dynamics seen in the biosonar system of bats: Bats modulate their ultrasonic biosonar signals upon emission as well as reception with variable, yet highly coordinated motion patterns of their noseleaves and pinnae.
Shuxin Zhang, Ruihao Wang, Xiaoyan Yin, Luhui Yang, Rolf Müller   +4 more
wiley   +1 more source

Incorporating Machine Learning Techniques to Enhance Rodent Surveillance in Marginalized Urban Communities

Ecology and Evolution
ABSTRACT Effective management of rodent pests necessitates efficient population surveillance. Many of the available methods currently used for estimating rodent populations are either costly or time‐intensive.
Fabio Neves Souza, Adedayo Michael Awoniyi, Rodrigo Dalvit Carvalho da Silva, Nivison Nery, Maria Victoria Moraes Oliveira, Caio Graco Zeppelini, George Andre Pereira Thé, Kathryn Hacker, Max T. Eyre, Hernan Dario Argibay, Albert Ko, Federico Costa, Hussein Khalil   +12 more
openaire   +3 more sources