Results 81 to 90 of about 415,103 (318)
Is Natural Language a Perigraphic Process? The Theorem about Facts and Words Revisited
As we discuss, a stationary stochastic process is nonergodic when a random persistent topic can be detected in the infinite random text sampled from the process, whereas we call the process strongly nonergodic when an infinite sequence of independent ...
Łukasz Dębowski
doaj +1 more source
Plant Life in Alpine Switzerland, being an Account in Simple Language of the Natural History of Alpine Plants [PDF]
openalex +1 more source
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
An inference mechanism for question answering
This work describes an inference mechanism applied to AliQAn Question Answering System for Spanish in open domain. AliQAn is based fundamentally on the use of syntactic patterns to identify the possible answers.
Sandra Roger +4 more
doaj
The 'Invention' of the Natural Method of Language Teaching [PDF]
Erwin Escher
openalex +1 more source
The oscillatory nature of language
First published online: 01 February ...
openaire +1 more source
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 +10 more
wiley +1 more source
Understanding Functional Materials at School
This review outlines strategies for effectively teaching nanoscience in schools, focusing on challenges such as scale comprehension and curriculum integration. Emphasizing inquiry‐based learning and chemistry core concepts, it showcases hands‐on activities, digital tools, and interdisciplinary approaches.
Johannes Claußnitzer, Jürgen Paul
wiley +1 more source
This study aims explore the feasibility of using neural network (NNs) and deep learning to diagnose three common respiratory diseases with few symptom words.
Chung-Hung Tsai +2 more
doaj +1 more source
Enthesis injuries are a worldwide healthcare problem. Biomimetic electrospun enthesis fascicle‐inspired scaffolds, with and without nano‐mineralization are developed. Human Mesenchymal Stromal cells (hMSCs) express the most balanced enthesis markers on the non‐mineralized scaffolds.
Alberto Sensini +11 more
wiley +1 more source

