Results 201 to 210 of about 3,002,307 (310)

Machine Learning in Nursing: A Cross-Disciplinary Review. [PDF]

Cureus
Kosmidis D, Simopoulos D, Anastasopoulos K, Koutsouki S.   +3 more
europepmc   +1 more source

Bootstrapping Morphological Analyzers by Combining Human Elicitation and Machine Learning [PDF]

, 2001
Kemal Ofazer, Sergei Nirenburg, Marjorie McShane   +2 more
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Improving machine learning approaches to coreference resolution [PDF]

, 2001
Vincent Ng, Claire Cardie
openalex   +1 more source

Electron Compensation Enhanced Triboelectric Sensor Assisted by Machine Learning for Tactile Perception Recognition

Advanced Functional Materials, EarlyView.
Integrating polyethyleneimine and carbon black into polyurethane enhances electron transport and mechanical durability. The resulting sensor achieves significantly improved electrical signal and sensitivity, enabling efficient machine learning‐based tactile signal recognition in bionic applications.
Xiangkun Bo, Wei Wang, Hong Zhao, Ruiqin Zhang, Walid A. Daoud   +4 more
wiley   +1 more source

Advances in Machine Learning for Mechanically Ventilated Patients. [PDF]

Int J Gen Med
Xu Y, Xue J, Deng Y, Tu L, Ding Y, Zhang Y, Yuan X, Xu K, Guo L, Gao N.   +9 more
europepmc   +1 more source

Advanced Cellulose‐Based Gels for Wearable Physiological Monitoring: From Fiber Modification to Application Optimization

Advanced Functional Materials, EarlyView.
This review discusses cellulose‐based hydrogels technology, analyzes their application progress in physiological signal monitoring, and explores the effects of pretreatment, crosslinking, and molding methods on gel performance, to provide valuable insights into the efficient utilization of plant fibers and the environmentally friendly development of ...
Zhiming Wang, Jinxuan Jiang, Kexin Wei, Xiaojian Zhou, Muhammad Wakil Shahzad, Yifan Li, Xuehua Zhang, Ben Bin Xu, Shengbo Ge   +8 more
wiley   +1 more source

Classification of musculoskeletal pain using machine learning. [PDF]

Sci Rep
Fouad DM, Mahfouz MM, Mohamed MM, Elzanaty MY, Abd El-Hafeez T.   +4 more
europepmc   +1 more source

The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery [PDF]

, 2001
Gerhard Widmer
openalex   +1 more source

Thermoresponsive BrushGel Microcarriers for Efficient Cell Expansion and Enzyme‐Reduced Harvesting

Advanced Healthcare Materials, EarlyView.
Askari et al, report on temperature‐responsive microcarriers to minimize enzyme use and cost in dynamic cultures. Abstract Scaling up cell therapy requires efficient expansion of high‐quality cells. Microcarrier(MC)‐based systems offer high surface‐to‐volume ratios and reduce culture media usage.
Esfandyar Askari, Mahdieh Shokrollahi Barough, Amir Seyfoori, Mahmood Razzaghi, Joel Alexander Ninan, Aidan B. P. Murray, Mahmoud Salkhordeh, Yuan Tan, Shirley H. J. Mei, Mohsen Akbari   +9 more
wiley   +1 more source