Results 251 to 260 of about 259,269 (327)
Deep-WET: a deep learning-based approach for predicting DNA-binding proteins using word embedding techniques with weighted features. [PDF]
Mahmud SMH +4 more
europepmc +1 more source
Automatic query generation using word embeddings for retrieving passages describing experimental methods [PDF]
Ferhat Aydın +2 more
openalex +1 more source
Embedded Lexica: Unlabeled Corpora using Word Embeddings
Researchers frequently need to extract information, such as events or target topics, from large corpora. One common solution involves applying semantically-related keywords to identify tweets, news articles, or other documents of interest. However, it is rarely the case that dictionaries of relevance to the topic, event, or language both exist and are
openaire +1 more source
The Geometry of Layer 2/3 Cortical Sound Processing in Slow Wave Sleep
Sleep is associated with a sensory disconnection whose mechanisms remain elusive. Large neuronal population recordings in the auditory cortex revealed that, in NREM sleep, the neural code for sounds is highly similar to wakefulness, but coordinated modulations of neuron responsiveness intermittently disconnect the local cortical networks from sensory ...
Allan Muller +3 more
wiley +1 more source
Integrin‐Piezo1 Axis Drives ECM Remodeling and Invasion of 3D Breast Epithelium
Mechanical stiffening of the extracellular matrix around mature mammary acini induces sequential remodeling phases. An early response disrupts the basement membrane and promotes fibronectin secretion, followed by delayed invasion with matrix reorganization and proliferation.
Kabilan Sakthivel +8 more
wiley +1 more source
This article presents a holistic investigation of M3D‐compatible oxide semiconductor technology using PEALD‐fabricated IGZO TFTs, spanning device‐level characterization, TCAD Modeling, circuit design, and scaled‐node projections. It demonstrates high field‐effect mobility (up to 116.35 cm2 V−1·s−1), robust reliability (△VTH < 0.15 V), low variation ...
Wenhui Wang +11 more
wiley +1 more source
Classification of Mobile Application Reviews using Word Embedding and Convolutional Neural Network
I Made Mika Parwita, Daniel Siahaan
openalex +2 more sources

