Results 131 to 140 of about 3,002,307 (310)

Machine Learning for an Expert System to Predict Preterm Birth Risk [PDF]

, 1994
Linda K. Woolery, Jerzy W. Grzymala‐Busse   +1 more
openalex   +1 more source

Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications

Advanced Functional Materials, EarlyView.
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai, Md Shakhawath Hossain, Nhat Minh Nguyen, Yongliang Chen, Chaohao Chen, Xiaoxue Xu, Quang Thang Trinh, Toan Dinh, Toan Trong Tran   +8 more
wiley   +1 more source

A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset

Scientific Data
While the field of medical image analysis has undergone a transformative shift with the integration of machine learning techniques, the main challenge of these techniques is often the scarcity of large, diverse, and well-annotated datasets.
Stefano Woerner, Arthur Jaques, Christian F. Baumgartner   +2 more
doaj   +1 more source

Learning Machine Translation [PDF]

, 2010
Osborne, Miles
core   +1 more source

A machine-learning apprentice for the completion of repetitive forms [PDF]

, 1994
L.A. Hermens, J.C. Shlimmer
openalex   +1 more source

Integration of Perovskite/Low‐Dimensional Material Heterostructures for Optoelectronics and Artificial Visual Systems

Advanced Functional Materials, EarlyView.
Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du, Junjie Yang, Ziyu Lv, Yongbiao Zhai, Zezhuang Yi, Yuhui Xie, Ming‐Lin Zheng, Xiangyu Ma, Guodong Gong, Yan Wang, Ye Zhou, Su‐Ting Han   +11 more
wiley   +1 more source

Applying machine learning to agricultural data [PDF]

, 1995
Robert J. McQueen, Stephen Garner, Craig G. Nevill-Manning, Ian H. Witten   +3 more
openalex   +1 more source

Flow‐Induced Vascular Remodeling on‐Chip: Implications for Anti‐VEGF Therapy

Advanced Functional Materials, EarlyView.
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, Elias Huber, Leonie Karr, Johnny Tong, Andreas Richard Bausch, Friedrich Christian Simmel, Karen Alim   +6 more
wiley   +1 more source

Data Fusion and Ensemble Learning for Advanced Anomaly Detection Using Multi-Spectral RGB and Thermal Imaging of Small Wind Turbine Blades

Energies
This paper introduces an innovative approach to Wind Turbine Blade (WTB) inspection through the synergistic use of thermal and RGB imaging, coupled with advanced deep learning techniques.
Majid Memari, Mohammad Shekaramiz, Mohammad A. S. Masoum, Abdennour C. Seibi   +3 more
doaj   +1 more source

Entropy of English text: Experiments with humans and a machine learning system based on rough sets [PDF]

, 1998
Hamid Moradi, Jerzy W. Grzymala‐Busse, James A. Roberts   +2 more
openalex   +1 more source