Results 41 to 50 of about 1,913 (199)
An advanced deep learning model for predicting water quality index
Predicting a water quality index (WQI) is important because it serves as an important metric for assessing the overall health and safety of water bodies. Our paper develops a new hybrid model for predicting the WQI.
Mohammad Ehteram +3 more
doaj +1 more source
The end-to-end learning approaches were proposed for an arithmetic expression recognition task in the Baidu Meizu Deep Learning Competition by a deep convolutional neural network (DCNN) with parallel dense layers and component-connection-based detection ...
Yuxiang Jiang +2 more
doaj +1 more source
Driver Facial Expression Analysis Using LFA-CRNN-Based Feature Extraction for Health-Risk Decisions
As people communicate with each other, they use gestures and facial expressions as a means to convey and understand emotional state. Non-verbal means of communication are essential to understanding, based on external clues to a person’s emotional state ...
Chang-Min Kim +3 more
doaj +1 more source
Spoken Language Identification System Using Convolutional Recurrent Neural Network
Following recent advancements in deep learning and artificial intelligence, spoken language identification applications are playing an increasingly significant role in our day-to-day lives, especially in the domain of multi-lingual speech recognition. In
Adal A. Alashban +3 more
doaj +1 more source
FNDC1 competitively binds Gβ2 to suppress the β‐catenin–destruction complex and promote the malignant behavior of gastric cancer (GC) by the following mechanism: elevated FNDC1 competes with Dvl for binding to Gβ2, thereby reducing Dvl–Gβ2 interaction; this reduction inhibits Dvl degradation in the cytoplasm; increased Dvl recruits Axin1, thereby ...
Wenyu Gao +9 more
wiley +1 more source
This study constructs a proteomic atlas of esophageal squamous cell carcinoma (ESCC) progression using esophageal biopsy samples. It identifies moderate dysplasia as the critical turning stage and a seven‐protein panel for early detection. Functionally, GBP6 loss promotes ESCC progression via cell cycle and epithelial‐mesenchymal transition (EMT ...
Xumiao Li +12 more
wiley +1 more source
Dilated-Convolutional Recurent Neural Network untuk Klasifikasi Genre Musik
Dalam era digital, pemanfaatan teknologi untuk mengelompokkan genre musik secara otomatis menjadi sangat penting, terutama untuk aplikasi seperti rekomendasi musik, analisis tren musik, dan pengelolaan perpustakaan musik digital.
Mochammad Rizqul Fatichin +3 more
doaj +1 more source
While undertaking macrofungal forays to several forested areas of Uttarakhand (India), a noteworthy and previously unknown species of Hemileccinum was unveiled. This species is proposed here as Hemileccinum indicum sp. nov. It is presented with both morphological characteristics and multigene molecular phylogenetic analysis.
Kanad Das +3 more
wiley +1 more source
Earthquake magnitude prediction is critical in seismology, with significant implications for disaster risk management and mitigation. This study presents a novel earthquake magnitude prediction model by integrating regression analysis with Convolutional ...
Asep Id Hadiana +2 more
doaj +1 more source
Convolutional Recurrent Neural Network for Fault Diagnosis of High-Speed Train Bogie
Timely detection and efficient recognition of fault are challenging for the bogie of high-speed train (HST), owing to the fact that different types of fault signals have similar characteristics in the same frequency range.
Kaiwei Liang +3 more
doaj +1 more source

