Results 41 to 50 of about 36,988 (280)

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

New adjusted missing value imputation in multiple regression with simple random sampling and rank set sampling methods.

PLoS ONE
This research compared the efficiency of several adjusted missing value imputation methods in multiple regression analysis. The four imputation methods were the following: regression-ratio quartile1,3 (R-RQ1,3) imputation of Al-Omari, Jemain and Ibrahim;
Juthaphorn Sinsomboonthong, Saichon Sinsomboonthong   +1 more
doaj   +1 more source

Analysis of Mean Square Error (MSE) and Standard Deviation (StD) for different methods.

, 2016
Analysis of Mean Square Error (MSE) and Standard Deviation (StD) for different methods.
Firdaus Afifi (3112299), Kim-Kwang Raymond Choo (717729), Shahaboddin Shamshirband (576336), Nor Badrul Anuar (3112296)   +3 more
core   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Migrative armadillo optimization enabled a one-dimensional quantum convolutional neural network for supply chain demand forecasting.

PLoS ONE
Demand forecasting is a quite challenging task, which is sensitive to several factors such as endogenous and exogenous parameters. In the context of supply chain management, demand forecasting aids to optimize the resources effectively.
Mohamed Irhuma, Ahmad Alzubi, Tolga Öz, Kolawole Iyiola   +3 more
doaj   +1 more source

Modern techniques in variance estimation with auxiliary information: a logarithmic perspective

Arab Journal of Basic and Applied Sciences
Variance estimation is essential to statistical analysis because it sheds light on the accuracy and dependability of estimations. The effectiveness of traditional methods is frequently increased by using linear connections between the study and auxiliary
Poonam Singh, Prayas Sharma, Anjali Singh, Anamika Kumari   +3 more
doaj   +1 more source

Neutrosophic Exponential Ratio-Type Estimator for Finite Population Mean [PDF]

Neutrosophic Sets and Systems
This paper proposes a neutrosophic exponential-type estimator for finite population mean estimation using auxiliary variables. Traditional statistical estimators often fall short when handling vague or uncertain data.
Anisha Taneja, Sachin Malik, Prem Shankar Jha   +2 more
doaj   +1 more source

Cell model parameter identification algorithm (MSE: mean square error, GA: genetic algorithm).

, 2015
Cell model parameter identification algorithm (MSE: mean square error, GA: genetic algorithm).
Samaneh Khakshour (732999), Timothy V. Beischlag (336203), Edward J. Park (369319), Carolyn Sparrey (733000)   +3 more
core   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source

Representative Points of Mixed Two-dimensional Normal Distribution

四川大学学报. 自然科学版, 2016
In this paper, some algorithms for searching representative points (RPs) of two-dimensional mixed normal distribution are given. Some theoretical properties are also given. The performance of three different types of RPs respectively based on Monte Carlo
WU Li-Hua, YE Yang
doaj