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The gas insulated transmission line (GIL), a crucial component of the power system, faces challenges in mechanical fault diagnosis including difficulties in quantifying sensor signal selection, balancing recognition accuracy, and model training ...

The successful navigation of the intricate data landscape and its challenges demands data science students to possess a requisite level of innovative thinking and problem-solving skills. However, the imperative task of nurturing the innovative capacity ...

Segmenting colorectal polyps presents a significant challenge due to the diverse variations in their size, shape, texture, and intricate backgrounds. Particularly demanding are the so-called “camouflaged” polyps, which are partially ...

• CPSNet: Camouflaged object detection reveals subtle features for improved results.
• Hidden feature detection: CDM module uncovers camouflaged features for better results.
• Enhanced semantic diffusion: MFEM amplifies key signals for ...

Terahertz (THz) band has attracted increasingly attention from the academic and industry for communications, as it enables gigabit-level data rates for 6G. However, as compared to sub-6GHz signals, THz signals suffer from more severe coverage issue due to ...

A Plate–fin heat exchanger (PFHE) is a compact and efficient thermal device, whose performance strongly depends on its structural design. However, the design optimization of a PFHE is a mixed-integer optimization problem with a strong ...

Due to the scarcity of available data, deep learning does not perform well on few-shot learning tasks. However, human can quickly learn the feature of a new category from very few samples. Nevertheless, previous work has rarely considered how to ...

Previous weakly-supervised methods of 3D object detection in driving scenes mainly rely on spatial labels, which provide the location, dimension, or orientation information. The annotation of 3D spatial labels is time-consuming. There also exist methods ...

Monocular 3D object detection aims at achieving prediction from two-dimensional image plane to three-dimensional physical world. It is an inevitable problem that occlusion phenomena limit the performance in practice. To solve the ...

• An introduction of superpixel knowledge into affinity based segmentation approach.

Weakly supervised semantic segmentation task aims to learn a segmentation model with only image-level annotations. Existing methods generally refine the initial seeds to obtain pseudo labels for training a fully supervised model. In ...

The interpretability of deep neural networks can serve as reliable guidance for algorithm improvement. By visualizing class-relevant features in the form of heatmap, the Class Activation Map (CAM) and derivative versions have been widely exploited ...

The strong demand for autonomous driving in the industry has promoted researches on 3D object detection algorithms. However, the vast majority of algorithms use a single-frame detection diagram, ignoring the spatiotemporal correlations across the point ...

Multi-task long-range autonomous driving in urban areas is a challenging task. Traditional methods are not applicable to situations with high-dimensional observations. Current reinforcement learning (RL) based algorithms are able to train agents to ...

In this paper, a novel method is proposed for data-driven high frequency components generation of velocity fields in fluid simulation. It targets on fluid simulation based on N-S Equation which may suffer from details missing because of low ...

The heat exchanger has been widely used in the energy and chemical industry and plays an irreplaceable role in the featured applications. The design of heat exchanger is a mixed integer complex optimization problem, where the efficient design ...

Data features in real industrial recommendation scenarios are diverse, high-dimensional and sparse. Effective feature crossing can improve the performance of recommendation, which is of great significance. Manual feature engineering is no longer ...

With the development of computer science and technology, programming has become one of the college students’ essential abilities. The increasing number of students brings a big challenge to evaluating students’ programs. For saving human resources in ...

In recent decades, global biodiversity has gradually diminished due to the increasing pressure from anthropogenic activities and climatic change. Accurate estimations of spatially continuous three-dimensional 3D vegetation structures and terrain ...

More and more researchers are finding anxiety and stress as critical health problems influencing quality of life and various illnesses. Studies suggest gardening activities help with anxiety. Our goal is to create engaging ways for people to interact ...

Treatments to reduce forest fuels are often performed in forests to enhance forest health, regulate stand density, and reduce the risk of wildfires. Although commonly employed, there are concerns that these forest fuel treatments FTs may have negative ...