Results 41 to 50 of about 20,859 (261)
Landslide Displacement Prediction With Gated Recurrent Unit and Spatial-Temporal Correlation
Frontiers in Earth Science, 2022 Landslides are geohazards of major concern that can cause casualties and property damage. Short-term landslide displacement prediction is one of the most critical and challenging tasks in landslide deformation analysis, and is beneficial for future ...
Wenli Ma +16 more
doaj +1 more source
Molecular Oncology, EarlyView.Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla +9 more
wiley +1 more source
Pouring Dynamics Estimation Using Gated Recurrent Units
CoRR, 2021 7 pages, 8 figures, 4 ...
openaire +2 more sources
Sentiment Analysis Using Stacked Gated Recurrent Unit for Arabic Tweets
IEEE Access, 2021 Over the last decade, the amount of Arabic content created on websites and social media has grown significantly. Opinions are shared openly and freely on social media, a process that provides a rich source for trend analyses.
Asma Al Wazrah, Sarah Alhumoud
doaj +1 more source
MITF maintains genome stability in nonmelanocyte lineages
Molecular Oncology, EarlyView.MITF is essential for melanocyte survival and acts as an oncogene in 10%–20% of melanomas. We show that MITF depletion causes genome instability in nonmelanocytic cells, leading to LATS2‐mediated P53 activation, cell cycle arrest, and apoptosis. This study highlights the role of MITF as a genome maintenance factor beyond the melanocyte lineage. Created
Drifa H. Gudmundsdottir +13 more
wiley +1 more source
Minion gated recurrent unit for continual learning
NeurocomputingThe increasing demand for continual learning in sequential data processing has led to progressively complex training methodologies and larger recurrent network architectures. Consequently, this has widened the knowledge gap between continual learning with recurrent neural networks (RNNs) and their ability to operate on devices with limited memory and ...
Abdullah M. Zyarah +1 more
openaire +2 more sources
Gated Recurrent Units for Blockage Mitigation in mmWave Wireless
Proceedings of the Int'l ACM Symposium on Mobility Management and Wireless Access, 2023 Millimeter-Wave (mmWave) communication is susceptible to blockages, which can significantly reduce the signal strength at the receiver. Mitigating the negative impacts of blockages is a key requirement to ensure reliable and high throughput mmWave communication links.
Ahmed Almutairi +2 more
openaire +2 more sources
Learning to trade autonomously in stocks and shares: integrating uncertainty into trading strategies
Autonomous Intelligent SystemsMachine learning, a revolutionary and advanced technology, has been widely applied in the field of stock trading. However, training an autonomous trading strategy which can effectively balance risk and Return On Investment without human supervision in ...
Yuyang Li, Minghui Liwang, Li Li
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Lithological Facies Classification Using Attention-Based Gated Recurrent Unit
Tsinghua Science and TechnologyLithological facies classification is a pivotal task in petroleum geology, underpinning reservoir characterization and influencing decision-making in exploration and production operations.
Yuwen Liu +7 more
doaj +1 more source
Automatic Signature Verifier Using Gaussian Gated Recurrent Unit Neural Network
IET Biometrics, 2023 Handwritten signatures are one of the most extensively utilized biometrics used for authentication, and forgeries of this behavioral biometric are quite widespread.
Sameera Khan +3 more
doaj +1 more source