Results 21 to 30 of about 873,018 (176)

Multivariate cryptocurrency prediction: comparative analysis of three recurrent neural networks approaches

open access: yesJournal of Big Data, 2022
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

open access: yesSensors, 2023
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

The Analysis of Deep Learning Recurrent Neural Network in English Grading Under the Internet of Things

open access: yesIEEE Access
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

A Hybrid CNN and RNN Variant Model for Music Classification

open access: yesApplied Sciences, 2023
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

PERBANDINGAN ALGORITMA LSTM, BI-LSTM, GRU, DAN BI-GRU UNTUK PREDIKSI HARGA SAHAM BERBASIS DEEP LEARNING [PDF]

open access: yes
Abstrak−Prediksi harga saham menjadi komponen penting dalam pengambilan keputusan investasi. Penelitian ini bertujuan untuk membandingkan performa empat model deep learning, yaitu LSTM, Bi-LSTM, GRU, dan Bi-GRU, dalam memprediksi harga saham, guna ...
Muthia Tshamaroh, -
core   +1 more source

Improving Sentiment Classification of Restaurant Reviews with Attention-Based Bi-GRU Neural Network

open access: yes, 2021
In the era of Web 2.0, there is a huge amount of user-generated content, but the huge amount of unstructured data makes it difficult for merchants to provide personalized services and for users to extract information efficiently, so it is necessary to ...
Liangqiang Li, Liang Yang, Yuyang Zeng
core   +1 more source

Transformer-based Automatic Music Mood Classification Using Multi-modal Framework

open access: yesJournal of Computer Science and Technology, 2023
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

Deep Learning-Based Improved WCM Technique for Soil Moisture Retrieval with Satellite Images

open access: yesRemote Sensing, 2023
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

Oilseed Rape Sclerotinia in Hyperspectral Images Segmentation Method Based on Bi-GRU and Spatial-Spectral Information Fusion

open access: yes智慧农业
ObjectiveThe widespread prevalence of sclerotinia disease poses a significant challenge to the cultivation and supply of oilseed rape, not only results in substantial yield losses and decreased oil content in infected plant seeds but also severely ...
ZHANG Jing   +4 more
doaj   +1 more source

A Soft Robotic Finger With Deep Learning‐Enhanced Tactile Sensing for Texture and Softness Recognition

open access: yesAdvanced Intelligent Systems, EarlyView.
Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al   +3 more
wiley   +1 more source

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