Results 151 to 160 of about 5,885,991 (322)

Examination of a cooperative learning supervision training and development model

, 1991
John M. Niska
openalex   +2 more sources

Semi-supervised learning of geographical gazetteers from the internet [PDF]

, 2003
Olga Uryupina
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

A fuzzy controller with supervised learning assisted reinforcement learning algorithm for obstacle avoidance [PDF]

, 2003
Cang Ye, N.H.C. Yung, Danwei Wang
openalex   +1 more source

Incidental Supervision: Moving beyond Supervised Learning

Proceedings of the AAAI Conference on Artificial Intelligence, 2017
Machine Learning and Inference methods have become ubiquitous in our attempt to induce more abstract representations of natural language text, visual scenes, and other messy, naturally occurring data, and support decisions that depend on it.
openaire   +2 more sources

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

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

Semi-Supervised Learning on Riemannian Manifolds [PDF]

, 2004
Mikhail Belkin, Partha Niyogi
openalex   +1 more source

Nanomaterial‐Enhanced Biosensing: Mechanisms and Emerging Applications

Advanced Healthcare Materials, EarlyView.
Nanomaterial integration transforms biosensor capabilities through enhanced signal transduction, sensitivity, and selectivity. This review analyzes how nanoscale materials—from nanoparticles to nanosheets—leverage unique physicochemical properties to revolutionize electrochemical, optical, and electrical biosensing.
Younghak Cho, Yunyoung Choi, Yerim Jang, Hyejeong Seong   +3 more
wiley   +1 more source

Tree-structured supervised learning and the genetics of hypertension [PDF]

, 2004
Jing Huang, Alfred Lin, Balasubramanian Narasimhan, Thomas Quertermous, Chano A. Hsiung, Low-Tone Ho, John Grove, Michael Olivier, Koustubh Ranade, Neil Risch, Richard A. Olshen   +10 more
openalex   +1 more source