Results 81 to 90 of about 496,088 (288)

Personalized Cinemagraphs using Semantic Understanding and Collaborative Learning

, 2017
Cinemagraphs are a compelling way to convey dynamic aspects of a scene. In these media, dynamic and still elements are juxtaposed to create an artistic and narrative experience.
Joo, Kyungdon, Joshi, Neel, Kang, Sing Bing, Kweon, In So, Oh, Tae-Hyun, Wang, Baoyuan   +5 more
core  

From Clinic to Computation: Multiscale Bioengineering Strategies for Durable Biological Aortic Valve Replacements

Advanced Functional Materials, EarlyView.
Bioprosthetic aortic valves have revolutionized the treatment of aortic stenosis, but their durability is limited by structural valve deterioration (SVD). This review focuses on the pericardial tissue at the heart of these valves, examining how its mechanical properties and calcification drive fatigue and failure.
Gabriele Greco, Pierfrancesco Gaziano, Serena Anglese, Simone Morganti, Carlo de Vincentiis, Ferdinando Auricchio, Michele Marino, Michele Conti   +7 more
wiley   +1 more source

Adaptive course sequencing for personalization of learning path using neural network [PDF]

, 2009
Advancements in technology have led to a paradigm shift fromtraditional to personalized learning methods with varied implementationstrategies. Presenting an optimal personalized learning path in aneducational hypermedia system is one of the strategies ...
Idris, Norsham, Saad, Puteh, Yusof, Norazah   +2 more
core  

Sensorized Engineered Tissues with Built‐in Thermoregulation and Nutrient Supply

Advanced Functional Materials, EarlyView.
This work introduces a granular hydrogel‐based tissue engineering platform that includes a closed‐loop temperature control to maintain 37°C and sustainably releases nutrients, thereby enabling cells to retain a high viability even if stored at room temperature for up to 24 h.
Antonia Georgopoulou, Jakob Schreiner, Miriam Filippi, Aiste Balciunaite, Robert K. Katzschmann, Esther Amstad   +5 more
wiley   +1 more source

Benchmark for Personalized Federated Learning

IEEE Open Journal of the Computer Society
Federated learning is a distributed machine learning approach that allows a single server to collaboratively build machine learning models with multiple clients without sharing datasets.
Koji Matsuda, Yuya Sasaki, Chuan Xiao, Makoto Onizuka   +3 more
doaj   +1 more source

Sparse Personalized Federated Learning

IEEE Transactions on Neural Networks and Learning Systems
Federated Learning (FL) is a collaborative machine learning technique to train a global model without obtaining clients' private data. The main challenges in FL are statistical diversity among clients, limited computing capability among clients' equipments, and the excessive communication overhead between the server and clients.
Xiaofeng Liu, Yinchuan Li, Qing Wang, Xu Zhang, Yunfeng Shao, Yanhui Geng   +5 more
openaire   +3 more sources

Artifact‐Minimizing Ultrathin Transparent Electrodes Fabricated via iCVD for In Vivo Optogenetic Stimulation and Neural Signal Monitoring of Primary Visual Cortex

Advanced Functional Materials, EarlyView.
We present ultrathin flexible transparent electrodes through iCVD‐enabled molecular control of 10 nm gold films on poly(dimethylaminomethylstyrene). In vivo validation demonstrated photoelectric artifact reduction vs. opaque electrodes and preservation of natural neural dynamics.
Tae Jin Mun, Minju Kim, Chaesung Kim, Yunyoung Choi, In‐Yeop Baek, Younghak Cho, Gyeongyong Lee, Yerim Jang, Min‐Ho Nam, Wonryung Lee, Maesoon Im, Hyejeong Seong   +11 more
wiley   +1 more source

Personalized Learning Based on Artificial Intelligence: How Ready Are Modern Students for New Educational Opportunities

Высшее образование в России
One of the key advantages of integrating artificial intelligence (AI) technologies into education is the creation of conditions for the implementation of a personalized learning model – a system developing individual potential, in which the learner is ...
P. V. Sysoyev
doaj   +1 more source

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

Advanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source

The PERLA Framework: Blending Personalization and Learning Analytics

International Review of Research in Open and Distributed Learning, 2019
Personalization is crucial for achieving smart learning environments in different lifelong learning contexts. There is a need to shift from one-size-fits-all systems to personalized learning environments that give control to the learners.
Mohamed Amine Chatti, Arham Muslim
doaj   +1 more source