Results 31 to 40 of about 35,156 (275)

The structure of a GRU cell. [PDF]

, 2022
The structure of a GRU cell.
Jinlou Ran (13805001), Yuchen Song (9524571), Kai Xiang (1602928), Yang Cui (507341)   +3 more
core   +1 more source

Structure of a GRU cell [48]. [PDF]

, 2022
Structure of a GRU cell [48].
Jawad-ur-Rehman Chughtai (14203336), Muhammad Muneeb (3244095), Irfan Ul Haq (9853260)   +2 more
core   +1 more source

Breast Cancer Prediction Using Stacked GRU-LSTM-BRNN

Applied Computer Systems, 2020
Breast Cancer diagnosis is one of the most studied problems in the medical domain. Cancer diagnosis has been studied extensively, which instantiates the need for early prediction of cancer disease.
Dutta Shawni, Mandal Jyotsna Kumar, Kim Tai Hoon, Bandyopadhyay Samir Kumar   +3 more
doaj   +1 more source

Bidirectional deep architecture for Arabic speech recognition

Open Computer Science, 2019
Nowadays, the real life constraints necessitates controlling modern machines using human intervention by means of sensorial organs. The voice is one of the human senses that can control/monitor modern interfaces.
Zerari Naima, Abdelhamid Samir, Bouzgou Hassen, Raymond Christian   +3 more
doaj   +1 more source

Schematic diagram of the GRU structure. [PDF]

, 2023
Schematic diagram of the GRU structure.
Shaokun Liang (14439551), Anna Huang (5353097), Tao Deng (158002), Ningxian Liu (14439554), Xuchu Jiang (14439557)   +4 more
core   +1 more source

Data‐ and Theory‐Guided Design of Dual‐Role V‐Doped RuO2 for High‐Performance Acidic Oxygen Evolution

Angewandte Chemie, EarlyView.
A data‐ and theory‐guided paradigm, leveraging large‐scale data mining of 718 catalysts and microkinetic modeling, identifies V‐doped RuO2 as optimal for acidic OER. Vanadium doping drives electron withdrawal from Ru centers, generating Lewis acidic sites that polarize O–H bonds and accelerate deprotonation kinetics. Experimental validation achieves an
Zhongliang Liu, Heng Liu, Kai Zhou, Miaomiao Liu, Tianrui Xue, Jian Zhang, Yiting Song, Jialin Cui, Hao Li, Huihui Li, Chunzhong Li   +10 more
wiley   +2 more sources

GRU model performance comparison with/out optimization. [PDF]

, 2023
GRU model performance comparison with/out optimization.
Muhammad Babar (16625259), Muhammad Usman Tariq (11022141), Shuhaida Binti Ismail (16625256), Ashir Ahmad (16625262)   +3 more
core   +1 more source

A review of cutaneous manifestations of HTLV-associated adult T-cell leukemia/lymphoma

Frontiers in Medicine
Adult T-cell leukemia/lymphoma (ATLL) is a rare aggressive mature T-cell neoplasm caused by the human T-cell leukemia virus type 1 (HTLV-1). The disease predominantly affects patients from endemic regions of Japan, the Caribbean, Sub-Saharan Africa, and ...
Tessa M. LeWitt, Alejandro A. Gru, Alejandro A. Gru   +2 more
doaj   +1 more source

Layers of the proposed GRU model. [PDF]

, 2022
Layers of the proposed GRU model.
Jawad-ur-Rehman Chughtai (14203336), Muhammad Muneeb (3244095), Irfan Ul Haq (9853260)   +2 more
core   +1 more source

PREDICTING MEDICINE DEMAND USING DEEP LEARNING TECHNIQUES

Iraqi Journal for Computers and Informatics, 2023
Medication supply and storage are essential components of the medical industry and distribution. Most medications have a predetermined expiration date. When the demand is met in large quantities that exceed the actual need, this leads to the accumulation
Bashaer Abdurahman Mousa, Belal Al-Khateeb   +1 more
doaj