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Deep learning algorithm development for river flow prediction: PNP algorithm
Deep learning algorithms developed in recent decades have performed well in prediction and classification using accumulated big data. However, as...
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A Modified Stochastic Gradient Descent Optimization Algorithm With Random Learning Rate for Machine Learning and Deep Learning
An optimization algorithm is essential for minimizing loss (or objective) functions in machine learning and deep learning. Optimization algorithms...
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Image recognition algorithm based on hybrid deep learning
As we embrace the information age, our lives have experienced revolutionary transformations. With the continuous advancement of computer technology,...
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Multi-Robot Task Allocation Using Multimodal Multi-Objective Evolutionary Algorithm Based on Deep Reinforcement Learning
The overall performance of multi-robot collaborative systems is significantly affected by the multi-robot task allocation. To improve the...
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RETRACTED ARTICLE: Support attack detection algorithm for recommendation system based on deep learning
In order to enhance the performance of recommendation systems that support attack detection algorithms, we have designed a novel approach based on...
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Application of wearable devices based on deep learning algorithm in basketball posture recognition
At present, wearable devices based on deep learning algorithm have become the main application solution of real-time motion analysis and recognition...
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Video forgery detection using competitive swarm sun flower optimization algorithm based deep learning
Nowadays, a surveillance camera is used extensively to provide security. With easier accessibility of tools like video editing, it became simple to...
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A Deep Learning-Based Object Representation Algorithm for Smart Retail Management
This study underscores the vital role of object representation and detection in smart retail management systems for optimizing customer experiences...
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A deep reinforcement learning approach incorporating genetic algorithm for missile path planning
The flight path planning of the missile is important in long-range air-to-ground strike missions. Constraints about missile guidance and guidance...
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A deep learning-based load forecasting algorithm for energy consumption monitoring system using dimension expansion
As a basic task in energy consumption monitoring system, load forecasting has great effects on system operation safety, generation costs and economic...
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Image Classification Algorithm Based on Proposal Region Clustering Learning-Unsupervised Deep Learning
Although deep learning has achieved certain results in image classification, images are susceptible to factors such as lighting conditions, shooting...
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Deep Visual-guided and Deep Reinforcement Learning Algorithm Based for Multip-Peg-in-Hole Assembly Task of Power Distribution Live-line Operation Robot
The inspection and maintenance of power distribution network are crucial for efficiently delivering electricity to consumers. Due to the high voltage...
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Research on internet financial risk control based on deep learning algorithm
With the rapid development of Internet technology, Internet finance has entered thousands of households, bringing a lot of convenience to people’s...
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An optimized deep-learning algorithm for the automated detection of diabetic retinopathy
Diabetic retinopathy (DR) leads to vision loss, a significant issue among people with diabetes. The DR significantly impacts society's financial...
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Deep learning neural network (DLNN)-based classification and optimization algorithm for organ inflammation disease diagnosis
Diagnostic image volume and complexity in healthcare system increases in rapid pace where available human proficiency may not sufficient for...
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Economic simulation of sports industry based on deep learning algorithm and data mining
In recent years, the research on the domestic and international sports industry has made considerable achievements, but there are still some...
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A Novel Deep Kernel Incremental Extreme Learning Machine Based on Artificial Transgender Longicorn Algorithm and Multiple Population Gray Wolf Optimization Methods
Redundant nodes in a kernel incremental extreme learning machine (KI-ELM) increase ineffective iterations and reduce learning efficiency. To address...
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Computational deep learning algorithm (vision/frequency response)-based damage detection in engineering structure
This research aims to devise an effective monitoring technique using a deep learning algorithm for a damaged (crack) structural analysis. In this...
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Sound signal analysis in Japanese speech recognition based on deep learning algorithm
As an important carrier of information, since sound can be collected quickly and is not limited by angle and light, it is often used to assist in...
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Analysis of interaction mode of ideological and political flipped classroom based on deep learning algorithm and student feedback data
By abstracting the input data using deep neural networks, we can obtain the distributed representation characteristics of related data. Compared with...
