Results 121 to 130 of about 81,862 (314)
Semantic urban 3D meshes obtained by deep learning networks have been widely applied in urban analytics. Typically, a large amount of labeled samples are required to train a deep learning network to extract discriminative features for the semantic ...
Jiahui Wang +4 more
doaj +1 more source
Extracting adverse drug reactions and their context using sequence labelling ensembles in TAC2017
Adverse drug reactions (ADRs) are unwanted or harmful effects experienced after the administration of a certain drug or a combination of drugs, presenting a challenge for drug development and drug administration.
Belousov, Maksim +3 more
core
Accurate Identification of Protein Binding Sites for All Drug Modalities Using ALLSites
ALLSites is a unified sequence‐based framework for identifying proteome‐wide binding sites across all drug modalities. It integrates a gated convolutional network with a transformer architecture to capture residue interactions directly from the sequence.
Minjie Mou +14 more
wiley +1 more source
Semantic middleware for industrial sensors
For many years, plant engineers have used data collected from industrial sensors for supporting the diagnosis of failures. Recently, data scientists are using these data to make predictions on industrial processes.
Fernando Silva Parreiras +3 more
doaj
The digitisation of law-enforcement archives is examined with the aim of moving from static analogue records to interoperable semantic information systems.
Alexandros Z. Spyropoulos +1 more
doaj +1 more source
A Wireless, Battery‐Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition
In this work, Xu and co‐workers develop a wireless, battery‐free artificial throat patch system (ATPS) consisting of a carbon nanotube‐based thin‐film strain sensor and a miniaturized flexible printed circuit board, to enable real‐time sensing of throat signals.
Bingxin Xu +10 more
wiley +1 more source
Donor‐derived tdTomato+ mature hepatocytes were FACS‐isolated and transplanted into Fah−/− host mice. During regeneration, these cells convert into proliferative, unipotent Afp+ rHeps. Their plasticity is governed by a PPARγ/AFP‐dependent metabolic switch, segregating into pro‐proliferative Afplow and pro‐survival Afphigh subpopulations.
Ting Fang +12 more
wiley +1 more source
Topical collections on machine learning based semantic representation and analytics for multimedia application [PDF]
Yuwei Yan, Weidong Liu
openalex +1 more source

