80 Result(s)
within
**-**a Ding
Artificial Intelligence
Computational Intelligence
Mathematical Logic and Foundations
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Article
Better value estimation in Q-learning-based multi-agent reinforcement learning
In many real-life scenarios, multiple agents necessitate cooperation to accomplish tasks. Benefiting from the significant success of deep learning, many single-agent deep reinforcement learning algorithms have...
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Article
Establishing a soil carbon flux monitoring system based on support vector machine and XGBoost
Soil carbon fluxes are pivotal indicators of climate impacts, yet field-level monitoring remains challenging. This study puts forth an innovative integrated framework coupling support vector machine (SVM) and ...
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Article
TCNet: tensor and covariance attention network for semantic segmentation
Non-local network provides a pioneering approach for capturing long-range dependency by aggregating query-specific global context into each query location; however, non-local network applies the identical weig...
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A teaching management system for physical education in colleges and universities using the theory of multiple intelligences and SVM
The level and style of teaching management have been continuously updated and enhanced as part of China's educational system reform in recent years. A new era of individualized learning and teaching administra...
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Simulation modeling and analysis on the network effects of multi-value chain based on the third-party manufacturing platform
With the rapid development of information technology, third-party platforms have emerged and become the important channels to promote collaborations among manufacturing enterprises. Under this background, this...
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Article
A novel capsule network based on deep routing and residual learning
Capsule network is a novel network structure based on vector, which has excellent performance in image classification and attracted the attention of researchers. However, the capsule network has a large amount...
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Article
An orthogonal electric fish optimization algorithm with quantization for global numerical optimization
In the past few decades, meta-heuristic algorithms have become a research hotspot in the field of evolutionary computing. The electric fish optimization algorithm (EFO) is a new meta-heuristic algorithm. Becau...
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Article
Image defogging algorithm and artificial intelligence technology innovation application in digital media image processing
Contemporary digital media have been promoted under the leadership, for video image capture and processing/using artificial intelligence technology to classify video content and other technologies have been ef...
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A novel clustering algorithm based on multi-layer features and graph attention networks
Clustering is a fundamental task in the field of data analysis. With the development of deep learning, deep clustering focuses on learning meaningful representation with neural networks. Ensemble clustering al...
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Article
Open AccessThe Value of MRI in the Diagnosis of Placenta Previa
Objective To analyze the diagnostic value of MRI in placenta previa. Methods 100 pregnant women with placenta previa admitted to our hospital from January 2017 to January 2020 were selected as the research obj...
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Article
Open AccessMultiscale Feature Extraction and Fusion of Image and Text in VQA
The Visual Question Answering (VQA) system is the process of finding useful information from images related to the question to answer the question correctly. It can be widely used in the fields of visual assis...
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Article
Defect of Archimedes optimization algorithm and its verification
Archimedes optimization algorithm (AOA) is a new meta-heuristic algorithm which is based on Archimedes principle and mimics the buoyancy force received by an object in water. The AOA is designed according to p...
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Article
No-reference image quality assessment with multi-scale weighted residuals and channel attention mechanism
With the rapid development of deep learning, no-reference image quality assessment (NR-IQA) based on convolutional neural network (CNN) plays an important role in image processing. Currently, most CNN-based NR...
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Article
Broad learning system based ensemble deep model
Broad learning system (BLS) demonstrates a novel structure of neural networks based on random vector functional link network (RVFL), which has a faster modeling speed, better generalization ability, higher reg...
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Article
Efficient data transfer supporting provable data deletion for secure cloud storage
With the widespread popularity of cloud storage, a growing quantity of tenants prefer to upload their massive data to remote cloud data center for saving local cost. Due to the great market prospect, a large q...
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Article
A manifold p-spectral clustering with sparrow search algorithm
Current p-spectral clustering based on Euclidean distance has good performance for partitioning data with global linear structure. However, the actual complex data or high-dimensional data often tally with the no...
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Article
Time series prediction based on high-order intuitionistic fuzzy cognitive maps with variational mode decomposition
In reality, time series subject to the internal/external influence are usually characterized by nonlinearity, uncertainty, and incompleteness. Therefore, how to model the features of time series in nondetermin...
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Article
Study on e-commerce logistics cost control methods in the context of COVID-19 prevention and control
The severe situation caused by THE COVID-19 epidemic has not only hindered the steady development of social economy, but also had a great impact on the development of e-commerce logistics. For e-commerce enter...
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Article
Interval-valued hesitant fuzzy TODIM method for dynamic emergency responses
Emergency responses bear the characteristics of uncertainty and possess multi-attributes in decision making. This paper applies the interval evidential reasoning approach and the interval-valued hesitant fuzzy...
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Article
An improved grid search algorithm to optimize SVR for prediction
Parameter optimization is an important step for support vector regression (SVR), since its prediction performance greatly depends on values of the related parameters. To solve the shortcomings of traditional g...
