Results 161 to 170 of about 875,908 (286)

Bat echolocation modelling using spike kernels with Support Vector Regression [PDF]

, 2007
FONTAINE, B, PEREMANS, H, Schrauwen, Benjamin   +2 more
core  

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Enhancing PQQ production in <i>Acinetobacter calcoaceticus</i> through uniform design and support vector regression. [PDF]

Front Microbiol
Li YH, Yao SH, Zhou Y, He XL, Yuan ZM, Hu QL, Shen CW, Li X, Chen Y.   +8 more
europepmc   +1 more source

Short-term forecasting of COVID-19 using support vector regression: An application using Zimbabwean data. [PDF]

Am J Infect Control, 2023
Shoko C, Sigauke C.
europepmc   +1 more source

Microfluidic Engineering of Chitosan‐Coated Nanoemulsions for Controlled Release and Stability in Space Pharmaceutics

Advanced Materials Technologies, EarlyView.
Microfluidic engineering enables the fabrication of chitosan‐coated, melatonin‐loaded nanoemulsions with controlled release and enhanced physicochemical stability for space pharmaceutics. Interfacial biopolymer coating modulates droplet behavior under accelerated thermal stress and simulated microgravity.
Modupe Adebowale, Nguyen Van Duc Long, Philip M Williams, Volker Hessel   +3 more
wiley   +1 more source

A study on parametric design of ceramic liquor bottles by combining grey relational analysis and particle swarm optimization support vector regression. [PDF]

Sci Rep
Guo W, Lu X, Zhang Z.
europepmc   +1 more source

Prediction models of macro-nutrient content in plant organs of <i>Cucumis melo</i> in response to soil elements using support vector regression. [PDF]

PeerJ, 2023
Keshtehgar A, Dahmardeh M, Ghanbari A, Khammari I.   +3 more
europepmc   +1 more source

Microfluidic Hydroporation Platform for Effective Allogeneic CAR‐T Cell Production and Subsequent Functional Cytotoxicity Analysis

Advanced Materials Technologies, EarlyView.
The hydroporator platform employs controlled hydrodynamic deformation for efficient mRNA and CRISPR/Cas9 delivery into primary human T cells, enabling allogeneic CAR‐T cell manufacturing. It preserves cell functionality and drives potent gene editing, CAR expression, and tumor cytotoxicity, while feature‐based analysis links these functional outcomes ...
Soohyun Jeon, Sein Kim, Hyun‐Young Kim, Duck Cho, Sungsu Park, Seohyun Kim, Aram J. Chung   +6 more
wiley   +1 more source

Efficient Support Vector Regression for Wideband DOA Estimation Using a Genetic Algorithm. [PDF]

Sensors (Basel)
Zhao Y, Zheng G, Wang J, Liu J, Dong S, Xin J.   +5 more
europepmc   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source