Results 21 to 30 of about 3,768 (183)
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 +10 more
wiley +2 more sources
As a new type of currency introduced in the new millennium, cryptocurrency has established its ecosystems and attracts many people to use and invest in it.
Seng Hansun +2 more
doaj +1 more source
3D Road Lane Classification with Improved Texture Patterns and Optimized Deep Classifier
The understanding of roads and lanes incorporates identifying the level of the road, the position and count of lanes, and ending, splitting, and merging roads and lanes in highway, rural, and urban scenarios.
Bhavithra Janakiraman +3 more
doaj +1 more source
A Hybrid CNN and RNN Variant Model for Music Classification
Music genre classification has a significant role in information retrieval for the organization of growing collections of music. It is challenging to classify music with reliable accuracy.
Mohsin Ashraf +6 more
doaj +1 more source
Cyberbullying Detection in Social Networks Using Bi-GRU with Self-Attention Mechanism [PDF]
With the propagation of cyberbullying in social networks as a trending subject, cyberbullying detection has become a social problem that researchers are concerned about. Developing intelligent models and systems helps detect cyberbullying automatically.
Yong Fang 0002 +3 more
openaire +2 more sources
Transformer-based Automatic Music Mood Classification Using Multi-modal Framework
The mood is a psychological state of feeling that is related to internal emotions and affect, which is how emotions are expressed outwardly. According to studies, music affects our moods, and we are also inclined to choose a theme based on our current ...
Sujeesha A. S, Rajeev Rajan
doaj +1 more source
Music Genre Classification with ResNet and Bi-GRU Using Visual Spectrograms
Music recommendation systems have emerged as a vital component to enhance user experience and satisfaction for the music streaming services, which dominates music consumption. The key challenge in improving these recommender systems lies in comprehending the complexity of music data, specifically for the underpinning music genre classification.
openaire +2 more sources
This work aims to investigate the use of the Recurrent Neural Network (RNN) in automated English grading. In order to achieve this, this work first constructs an automated English grading system based on the Internet of Things (IoT).
Dandan Li +3 more
doaj +1 more source
Deep Learning-Based Improved WCM Technique for Soil Moisture Retrieval with Satellite Images
The water cycle around the globe is significantly impacted by the moisture in the soil. However, finding a quick and practical model to cope with the enormous amount of data is a difficult issue for remote sensing practitioners.
G. S. Nijaguna +5 more
doaj +1 more source
Improved Bi-GRU for parkinson’s disease severity analysis
Parkinson’s disease (PD) is a common neuro-degenerative issue, evaluated via the continuous deterioration of motor functions over time. This condition leads to a gradual decline in movement capabilities. For diagnosing clinical set of PDs, medical experts utilize medical observations.
Malathi Arunachalam +3 more
openaire +1 more source

