Results 71 to 80 of about 1,171,833 (351)

Text Mining of CVD Synthesis Recipes for 2D Materials

Advanced Materials, EarlyView.
A lightweight, multi‐stage natural language processing framework utilizes fine‐tuned BERT models to extract chemical vapor deposition synthesis knowledge from diverse 2D materials literature. The domain‐adapted workflow integrates classification, named entity recognition, and extractive question answering to systematically retrieve categorical and ...
Ang‐Yu Lu, Richard A. Chen, Aijia Yao, Meng‐Chi Chen, Ji‐Hoon Park, Tianyi Zhang, Xudong Zheng, Nannan Mao, Jiangtao Wang, Zhien Wang, Tomás Palacios, Jing Kong   +11 more
wiley   +1 more source

The application and research of machine learning in malicious encrypted traffic detection

Dianzi Jishu Yingyong
With the widespread use of encrypted communication, malicious attackers increasingly exploit encrypted traffic to conceal their activities, posing challenges to traditional signature-based and rule-based detection methods.
Tian Rui, Zhang Yaqin, Dong Wei, Li Zhicheng, Feng Zhi   +4 more
doaj   +1 more source

Improving insurers’ loss reserve error prediction: Adopting combined unsupervised-supervised machine learning techniques in risk management

Journal of Finance and Data Science, 2022
Emerging literature focuses on insurers' earnings management using estimated liability for unpaid claims, known as loss reserve. An insurance company generally uses the traditional estimation methods with linear estimation to measure loss reserve error ...
In Jung Song, Wookjae Heo
doaj   +1 more source

Unsupervised Machine Learning Approach for Identifying Biomechanical Influences on Protein-Ligand Binding Affinity [PDF]

, 2021
Arjun Singh
openalex   +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

Quantitative 3D Real‐Space Analysis of Photonic Supraparticles

Advanced Materials, EarlyView.
This work shows that through quantitative 3D real‐space analysis, photonic supraparticles can be investigated in detail. By clustering and classifying all particles, structure features can easily be detected, and the internal structure can be quickly investigated. This methodology allows for quick identification of different crystal structures, such as
Jesse Ian Bückmann, Leroy Daniël Hoitink, Ruizhi Yang, Alptuğ Ulugöl, Laura Filion, Alfons van Blaaderen   +5 more
wiley   +1 more source

Sysmon event logs for machine learning-based malware detection

Cyber Security and Applications
Malware poses a significant threat to modern computing environments, necessitating advanced detection techniques that can adapt to evolving attack methods.
Riki Mi’roj Achmad, Dyah Putri Nariswari, Baskoro Adi Pratomo, Hudan Studiawan   +3 more
doaj   +1 more source

Generative Models for Crystalline Materials

Advanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi, Jonas Teufel, Henrik Schopmans, Jona Östreicher, Yumeng Zhang, Marlen Neubert, Yuri Koide, Kevin Steiner, Paul Link, Lukas Bär, Mariana Petrova, Gerbrand Ceder, Pascal Friederich   +15 more
wiley   +1 more source

Hydrogel‐Based Functional Materials: Classifications, Properties, and Applications

Advanced Materials Technologies, EarlyView.
Conductive hydrogels have emerged as promising materials for smart wearable devices due to their outstanding flexibility, multifunctionality, and biocompatibility. This review systematically summarizes recent progress in their design strategies, focusing on monomer systems and conductive components, and highlights key multifunctional properties such as
Zeyu Zhang, Zao Cheng, Patrizio Raffa
wiley   +1 more source

Machine learning‐assisted anomaly detection for power line components: A case study in Pakistan

The Journal of Engineering
A continuous supply of electricity is necessary to maintain an acceptable standard of life, and the power distribution system's overhead line components play a crucial role in this matter. In Pakistan, identifying defective parts often necessitates human
Abdul Basit, Habib Ullah Manzoor, Muhammad Akram, Hasan Erteza Gelani, Sajjad Hussain   +4 more
doaj   +1 more source