Results 101 to 110 of about 982,398 (277)

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

Self-adaptive heterogeneous random forest [PDF]

, 2014
Bader-El-Den, Mohamed
core   +2 more sources

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

Advanced Functional Materials, EarlyView.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi, Irem Deniz Derman, Deepak Gupta, Logan Haugh, Yogendra Pratap Singh, Vaibhav Pal, Yasar Ozer Yilmaz, Suihong Liu, Andre Luis Dias, Rogerio Andrade Flauzino, Ibrahim Tarik Ozbolat   +10 more
wiley   +1 more source

Polymer‐Incorporated Mechanically Compliant Carbon Nanotube Microelectrode Arrays for Multichannel Neural Signal Recording

Advanced Functional Materials, EarlyView.
This work presents a soft microelectrode array based on vertically aligned carbon nanotube (CNT) forests, combining high conductivity with mechanical softness. A densification process and air‐pressure‐assisted flexibilization improve structural integrity, ensuring stable insertion and reduced inflammation.
Hyeonhee Roh, Kwangjun Kim, Chaesung Kim, Minju Kim, Minwook Kim, Sangjun Sim, Jongbaeg Kim, Jong G. Ok, Maesoon Im   +8 more
wiley   +1 more source

Implementation of Heart Dieses Prediction System using Combination of XGBoost, Logistic Regression and Random Forest

, 2023
Prof. Pushpa Chutel, Govind Thawkar, Abhishek Gupta, Aman Thakur, Abhishek Shukla, Anish Karhade, P. Meshram   +6 more
openalex   +1 more source

The Hierarchical Structure of Sheep Wool and Its Impact on Physical Properties

Advanced Functional Materials, EarlyView.
Sheep wool, a prevalent α‐keratinous fiber, is an essential model for studying protein‐based fibers. Its genetic diversity across breeds enables the establishment of multiscale structure‐property relationships, uncovering previously elusive insights into wool's hierarchical structure.
Serafina R. France Tribe, Paloma X. Lee, Caterina Czibula, Mónica G. Simões, Reiner Bleher, Keith E. Duncan, Michael Thoman, Christopher N. Topp, Vinayak P. Dravid, Cécile A. C. Chazot   +9 more
wiley   +1 more source

Anti‐Swelling Textile Power Generator with 1D Nanoscale Channel Alignment in Nanofiber/Graphene Hybrid Yarns

Advanced Functional Materials, EarlyView.
A nanofiber/graphene hybrid yarn with 1D oriented nanoscale channel is constructed via bath electrospinning followed by a functionalization process, yielding exceptional anti‐swelling and weaving abilities. When configured into a waterproof fabric through series‐parallel connection of 62‐cm yarns, an output power of 31.96 µW is achieved, which could ...
Yuman Zhou, Xiaohan Shi, Meng An, Kai Weng, Zhihao Lei, Qing Zhang, John Haozhong Xin   +6 more
wiley   +1 more source

Colloidal Opaline Composites as Throughput‐Scalable, Fully Transparent, and Color‐Tunable Radiative Cooling Exterior Films for Outdoor Photovoltaics

Advanced Functional Materials, EarlyView.
Particular thermal metamaterials are widely used as daytime radiative coolers merely by embedding thermally emissive nanoparticles (NPs) in liquid resins to form scalable, yet highly efficient cooling films in a cost‐effective way. However, randomly dispersed NPs, prevalently used thus far, cause strong scattering, limiting NP content and cooling ...
YongDeok Cho, Hyeon Ho Kim, Sewon Ahn, Jaewon Lee, Jieun Lee, Kwangjin Kim, Soyul Kwak, Hoodam Lee, Kyungsik Choi, Kyonghwa Song, Seungwoo Lee   +10 more
wiley   +1 more source

A weighted random forests approach to improve predictive performance

, 2013
Stacey J. Winham, Robert R. Freimuth, Joanna M. Biernacka   +2 more
openalex   +2 more sources

Probing the Skill of Random Forest Emulators for Physical Parameterizations Via a Hierarchy of Simple CAM6 Configurations [PDF]

, 2023
Garrett C Limon, Christiane Jablonowski
openalex   +1 more source