Results 151 to 160 of about 875,908 (286)

A consumer emotion analysis system based on support vector regression model. [PDF]

PeerJ Comput Sci, 2023
Huo M, Li J.
europepmc   +1 more source

Data‐Driven Discovery of Quaternary Ammonium Interlayers for Efficient and Thermally Stable Perovskite Solar Cells

Advanced Materials, EarlyView.
An active learning framework, grounded in independently generated in‐house experimental data, enables reliable discovery of high‐performance interfacial materials for perovskite solar cells. Iterative model refinement autonomously converges toward structurally robust quaternary ammonium architectures, establishing a new design principle for interfacial
Jongbeom Kim, Yang Jeong Park, Chaehoon Jeon, Nahye Shin, Jaewang Park, Seungun Lee, Jino Im, Sungroh Yoon, Sang Il Seok   +8 more
wiley   +1 more source

Predictive modelling and optimization of WEDM of nickel aluminium bronze alloy using optimised support vector regression and evolutionary algorithm. [PDF]

Sci Rep
Saha S, Modampuri SSR, Dutta H, Mallipeddi R, Nasan DS, Choudhury MR.   +5 more
europepmc   +1 more source

Retracted: Action Recognition, Tracking, and Optimization Analysis of Training Process Based on the Support Vector Regression Model. [PDF]

J Healthc Eng, 2023
Healthcare Engineering JO.
europepmc   +1 more source

Hierarchically Engineered Multi‐Enzyme Nanoreactors for in vitro Drug Biosynthesis and Pathway Transplantation Into Cells

Advanced Materials, EarlyView.
A hierarchically structured metal–organic framework (eMIL) is shown to host the complete six‐enzyme biosynthesis pathway for the anti‐cancer pigment violacein, reshaping reaction dynamics and multiplying in vitro yields. eMIL nanoreactors deliver this reconstituted bacterial multi‐protein system into mammalian cells, where cell‐derived substrates and ...
Ainur Sharip, Somayah S. Qutub, Manar M. Farooqui, Walaa Baslyman, Nida Khalfay, Lukman O. Alimi, Patricia Lopez Sanchez, Lingyun Zhao, Milena Chernyshevskaia, Giovanni Colombo, Niveen M. Khashab, Stefan T. Arold, Raik Grünberg   +12 more
wiley   +1 more source

Improving nutritional quality, aroma profile and bioactive retention of rocket juice via thermosonication: a support vector regression-based optimization. [PDF]

Front Nutr
Levent O, Şimşek MA, Yıkmış S, Demirel S, Türkol M, Tokatlı Demirok N, Er H, Aljobair MO, Karrar E, Tokatlı N, Mohamed Ahmed IA.   +10 more
europepmc   +1 more source

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

Advanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee, Moon‐Jo Kim, DongEung Kim, Chan Ho Moon, Seojoon Bang, Hyeong Seok Kang, Ju Yeong Gwon, Jong Hwa Seo, Junhyub Jeon, Junhyuk Son, Munwon Lim, Minho Kang, Dong Yun Lee, Donghyun Lim, Jung‐Hoon Park, Gi Doo Cha, Soo‐Hong Lee, Tae‐Sik Jang, Kisuk Yang, Yunho Jeong, Youngho Eom, Hyun‐Do Jung   +21 more
wiley   +1 more source

Correlation Analysis of Large-Span Cable-Stayed Bridge Structural Frequencies with Environmental Factors Based on Support Vector Regression. [PDF]

Sensors (Basel), 2023
Xu J, Xiao T, Liu Y, Hong Y, Pu Q, Wen X.   +5 more
europepmc   +1 more source

Flow‐Adaptive Gas Sensing Enabled Using a Uniform Au Nanosheet Sensor Array and a Neural Network Inference

Advanced Materials Technologies, EarlyView.
Integrated Au nanosheet sensor array enables simultaneous inference of gas concentration and flow rate via deep neural network analysis, without external flow control. ABSTRACT Gas sensor responses are considerably affected by gas flow rates, thereby inhibiting the accurate detection of target gas concentrations in variable‐flow applications such as ...
Taro Kato, Takahisa Tanaka, Yusuke Hamanaka, Ryo Toyoshima, Ken Uchida   +4 more
wiley   +1 more source

Developing Gaussian process regression, Lasso regression, and Nu-support vector regression models for predicting solubility of exemestane in supercritical CO₂. [PDF]

Sci Rep
Almutairi JA, Malik T.
europepmc   +1 more source