Results 131 to 140 of about 5,885,991 (322)
Supporting the supporters: the learning and supervision needs of unqualified support staff in a supported housing scheme for people with mental health problems [PDF]
Philip Kemp
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This article presents a comprehensive analysis of the intrinsic relationships and applicability of Hill48 yield criterion. The applicability and error evaluation conditions for Hill48 are established based on specific experimental data. A parameter calibration strategy for N‐value based on error minimization is proposed, and the predictive accuracy is ...
Jinxin Wang+9 more
wiley +1 more source
Supervised learning of large perceptual organization: graph spectral partitioning and learning automata [PDF]
Sudeep Sarkar, Padmanabhan Soundararajan
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Flow‐Induced Vascular Remodeling on‐Chip: Implications for Anti‐VEGF Therapy
Flow‐induced vascular remodeling plays a critical role in network stabilization and function. Using a vasculature‐on‐chip system, this study reveals how physiological VEGF levels and flow affect vascular remodeling and provides insights into tumor vessel normalization.
Fatemeh Mirzapour‐Shafiyi+6 more
wiley +1 more source
High‐Performance Millimeter Scale Electromagnetic Generator
A high‐performance millimeter‐scale electromagnetic generator (mmEMG) is developed using magnetic flux concentrator (MFC) films on both coil ends to enhance magnetic flux. Through simulations and experiments, structural and magnetic properties are optimized, achieving a 5.6‐fold electrical output improvement.
Jin Pyo Lee+5 more
wiley +1 more source
Classifying Vertical Facial Deformity using Supervised and Unsupervised Learning [PDF]
Peter Hammond+4 more
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An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone+11 more
wiley +1 more source
In recent years, contrastive learning has been a highly favored method for self-supervised representation learning, which significantly improves the unsupervised training of deep image models. Self-supervised learning is a subset of unsupervised learning
Bihi Sabiri+3 more
doaj +1 more source
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto+8 more
wiley +1 more source
A battery‐free, wireless device for real‐time monitoring of pressure injury and hygiene integrates pressure (≈10 kPa), temperature (≈40 °C), and NH3 gas sensing with antibacterial functionality. Enabled by near‐field communication, it ensures simultaneous, interference‐free mechanical and chemical monitoring, offering a practical solution for pressure ...
Myungwoo Choi+19 more
wiley +1 more source