Results 221 to 230 of about 5,451,620 (296)
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data. [PDF]
Sun C +5 more
europepmc +1 more source
Physics‐encoded transfer learning for scale‐up modeling of CHO cell bioreactors
Abstract Developing reliable predictive models for mammalian cell bioreactors, particularly Chinese hamster ovary (CHO) cultures widely used in biopharmaceutical manufacturing, remains challenging due to severe data scarcity in industrial‐scale reactors.
Muyang Li, Ming Xiao, Zhe Wu
wiley +1 more source
Predicting worsening visual field via masked dual stage attention recurrent neural network. [PDF]
Park K +7 more
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Multimodal Video Summarization Using Vision‐Language Embeddings and Hierarchical Temporal Modeling
Combining BLIP‐2 image captions with CLIP vision–language embeddings gives video frames semantic meaning that pixels alone cannot convey. Processed by a multi‐scale temporal U‐Net and hierarchical shot‐aware transformer, these multimodal features achieve a state‐of‐the‐art 59.27% F1‐score on SumMe using only 28.27M parameters.
Saadman Sakib, Kaushik Deb
wiley +1 more source
Seizure detection using hierarchical temporal trend integration and self-supervised learning. [PDF]
R NA, K SB.
europepmc +1 more source
This paper proposes a hybrid GNN‐RL system coupled with a cloud‐based automated experimentation system to optimise topology‐aware, multi‐objective, and scalable programs in the network. ABSTRACT Software‐Defined Networking (SDN) and Network Function Virtualisation (NFV) offer the benefit of dynamic control and flexible resources that can be managed ...
Muhammad Hasnain +2 more
wiley +1 more source
Disinhibitory signaling enables flexible coding of top-down information in cortical networks. [PDF]
Aquino TG +2 more
europepmc +1 more source
Cross Wavelet Transform (XWT) is combined with a pre‐trained AlexNet to extract rich time‐frequency features from non‐stationary EEG signals. Also, the proposed framework simultaneously extracts and integrates spatial (Node2vec), time‐frequency (XWT + AlexNet), and spectral (PSD + TSCN) features from EEG and ERP signals within a parallel architecture ...
Atefeh Abedzadeh Attar +2 more
wiley +1 more source

