Results 91 to 100 of about 497,808 (317)
Advanced Healthcare Materials, EarlyView.This proof‐of‐concept study involves high‐throughput teratogenicity screening of compounds using XEn/EpiCs, a 3D stem cell‐based embryo model, within microwells. The term ‘morphotoxicity’ is introduced to complement traditional cytotoxicity assays through automated feature extraction and machine‐learning‐assisted classification of morphologies.
Vinidhra Shankar +4 more
wiley +1 more source
, 2018 Deep models are state-of-the-art for many vision tasks including video action recognition and video captioning. Models are trained to caption or classify activity in videos, but little is known about the evidence used to make such decisions.
Bargal, Sarah Adel +5 more
core +1 more source
Optoelectronic Devices for In‐Sensor Computing
Advanced Materials, EarlyView.The raw data obtained directly from sensors in the noisy analogue domain is often unstructured, which lacks a predefined format or organization and does not conform to a specific data model. Optoelectronic devices for in‐sensor visual processing can integrate perception, memory, and processing functions in the same physical units, which can compress ...
Qinqi Ren +7 more
wiley +1 more source
Electronic Research ArchiveThe numerical solution of spatiotemporal partial differential equations (PDEs) using the deep learning method has attracted considerable attention in quantum mechanics, fluid mechanics, and many other natural sciences.
Ruohan Cao +3 more
doaj +1 more source
Sensors, 2020 Passenger flow prediction has drawn increasing attention in the deep learning research field due to its great importance in traffic management and public safety. The major challenge of this essential task lies in multiple spatiotemporal correlations that
Hongwei Jia +6 more
doaj +1 more source
Geometric deep learning reveals the spatiotemporal fingerprint of microscopic motion
, 2022 The characterization of dynamical processes in living systems provides important clues for their mechanistic interpretation and link to biological functions. Thanks to recent advances in microscopy techniques, it is now possible to routinely record the motion of cells, organelles, and individual molecules at multiple spatiotemporal scales in ...
Pineda, Jesús +6 more
openaire +2 more sources
Abnormal Event Detection in Videos using Spatiotemporal Autoencoder
, 2017 We present an efficient method for detecting anomalies in videos. Recent applications of convolutional neural networks have shown promises of convolutional layers for object detection and recognition, especially in images.
Chong, Yong Shean, Tay, Yong Haur
core +1 more source
Computational Modeling of Reticular Materials: The Past, the Present, and the Future
Advanced Materials, EarlyView.Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman +3 more
wiley +1 more source
Taiyuan Ligong Daxue xuebaoPurposes How to perform bias-correction for precipitation data based on terrain information has been an important problem in meteorological big data research.
WU Xuefeng +3 more
doaj +1 more source
Advanced Materials, Volume 37, Issue 12, March 26, 2025.This article presents a non‐destructive molecular encoding approach using hierarchical array of functionalized graphene‐based sensors for spatiotemporal analysis of volatile signaling molecules. Combined with deep learning, this method enables real‐time imaging and genetic profiling of organoids, deciphering molecular production pathways through ...
Arnab Maity +5 more
wiley +1 more source