Results 61 to 70 of about 61,068 (254)

TRBoost: a generic gradient boosting machine based on trust-region method

Applied Intelligence, 2023
Gradient Boosting Machines (GBMs) have demonstrated remarkable success in solving diverse problems by utilizing Taylor expansions in functional space. However, achieving a balance between performance and generality has posed a challenge for GBMs. In particular, gradient descent-based GBMs employ the first-order Taylor expansion to ensure applicability ...
Jiaqi Luo, Zihao Wei, Junkai Man, Shixin Xu   +3 more
openaire   +2 more sources

Electrocapillary Modulated Interfacial Tension Amplifies Liquid Metal Transduction

Advanced Functional Materials, EarlyView.
This study presented an electrocapillary‐enhanced magnetohydrodynamic pumping strategy that harnesses the Lorentz force and interfacial tension modulation of liquid metal droplets to achieve amplified fluidic power. The system enabled low‐voltage, self‐oscillating fluidic transduction with enhanced pressure and flow generation, supporting compact ...
Saba Firouznia, Ciqun Xu, Michael D. Dickey, Jonathan Rossiter   +3 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Rapid Fabrication of Self‐Propelled and Steerable Magnetic Microcatheters for Precision Medicine

Advanced Materials, EarlyView.
A rapid Joule heating fabrication method for the production of self‐propelling, adaptive microcatheters, with tunable stiffness and integrated microfluidic channels is presented. Demonstrated through three microrobotic designs, including a steerable guiding catheter, an untethered wave‐crawling TubeBot, and a distal‐end propelled microcatheter, it was ...
Zhi Chen, Boris Rivkin, David Castellanos‐Robles, Ivan Soldatov, Lukas Beyer, Mariana Medina‐Sánchez   +5 more
wiley   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Advanced and explainable machine learning model for prediction of surface roughness of tempered steel AISI 1060

Scientific Reports
This research examined the performance of a machine learning algorithm when predicting the surface roughness of tempered steel AISI 1060. Different machine learning algorithms, such as decision tree (DT), random forest (RF), adaptive boosting (ADB ...
Firi Ziyad, Habtamu Alemayehu, Desalegn Wogaso, Getachew Semegn, Abdirahman Sheikhadan, Abreham Mulugeta, Adamu Hailu, Abdella Kereme   +7 more
doaj   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Predicting the Presence of Traumatic Chest Injuries Using Machine Learning Algorithm

Archives of Academic Emergency Medicine
Introduction: Various tools have been developed to determine the priority of radiography in trauma patients. This study aimed to investigate the role of machine learning models in predicting chest injuries following multiple trauma.
Mohammadhossein Vazirizadeh-mahabadi, Amir Ghaffari Jolfayi, Mostafa Hosseini, Mobina Yarahmadi, Hamed Zarei, Mohsen Masoodi, Arash Sarveazad, Mahmoud Yousefifard   +7 more
doaj   +1 more source

XML‐LightGBMDroid: A self‐driven interactive mobile application utilizing explainable machine learning for breast cancer diagnosis

Engineering Reports, 2023
Nowadays, breast cancer detection and diagnosis are done using machine learning algorithms. It can enhance cancer understanding and help in treatment selection and diagnosis.
Khandaker Mohammad Mohi Uddin, Nitish Biswas, Sarreha Tasmin Rikta, Samrat Kumar Dey, Atika Qazi   +4 more
doaj   +1 more source