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Recycling of Thermoplastics with Machine Learning: A Review
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+5 more
wiley +1 more source
Machine learning techniques to make computers easier to use
Hiroshi Motoda, Kenichi Yoshida
openalex +1 more source
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods [PDF]
Nello Cristianini, John Shawe‐Taylor
openalex +1 more source
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+8 more
wiley +1 more source
Comparing non-machine learning vs. machine learning methods for Ki67 scoring in gastrointestinal neuroendocrine tumors. [PDF]
Mola N+4 more
europepmc +1 more source
Graph Matching: Fast Candidate Elimination Using Machine Learning Techniques [PDF]
Mihai Lazarescu+2 more
openalex +1 more source
A 3D‐architected auxetic metamaterial is used to construct capacitive and resistive tactile sensors via digital light processing‐based additive manufacturing. The inward deformation of the proposed structure under compression amplifies local strain, enhancing sensing performance.
Mingyu Kang+3 more
wiley +1 more source
Machine learning in dentistry: a scoping review. [PDF]
Lakhotia S+6 more
europepmc +1 more source
Application of machine learning techniques in water distribution networks assisted by domain experts
Luís M. Camarinha-Matos+1 more
openalex +1 more source