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Chapter and Conference Paper
Research on Electric Load Forecasting Considering Node Marginal Electricity Price Based on WNN
This research suggests an electric load forecasting method that takes into account the marginal price of electricity in order to further increase the forecasting accuracy for electric loads. By including the m...
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Chapter and Conference Paper
A Summary of Research on China Basic Education Evaluation with the Help of Intelligent Technology
Under the background of China Education Modernization 2035 and Education 4.0, promoting the integration and innovation of intelligent technology and basic education evaluation is the necessary path for educati...
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Chapter and Conference Paper
A Summary Research of the Current Status, Hot Spots and Trends in STEM Education
In the context of the publication of the “Thirteenth Five-Year Plan for Educational Informationization,” and China’s entry into the era of education informatization, the integration of information technology a...
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Chapter and Conference Paper
Research Progress of MXenes Based Gas Sensors
MXenes not only have the same conductivity as metals, but also have good mechanical and hydrophilic properties. Therefore, MXenes have special appeal and competitiveness in fields such as energy storage conver...
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Chapter and Conference Paper
Application of Manganese Based Catalysts for VOCs Degradation: A Review
In this paper, catalytic combustion of volatile organic compounds (toluene, ethyl acetate and acetaldehyde) was reviewed over manganese based catalysts and over the catalytic combustion mechanism. At present, ...
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Chapter and Conference Paper
Exploration and Practice of Operating System Curriculum Reform Based on the Integration of Science and Education
Operating system (OS) is the core control of a computer, which serves as the command and management center of a computer, often referred to as the brain of a computer. Currently, operating systems are an impor...
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Chapter and Conference Paper
Research on the Teaching Model of Interdisciplinary Computational Thinking Cultivating from the Perspective of Problem-Solving
Computational thinking is a thinking process related to formal problems and their solutions, and the development of students’ computational thinking skills is one of the important objectives of basic IT teachi...
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Chapter and Conference Paper
DSAM-GN: Graph Network Based on Dynamic Similarity Adjacency Matrices for Vehicle Re-identification
In recent years, vehicle re-identification (Re-ID) has gained increasing importance in various applications such as assisted driving systems, traffic flow management, and vehicle tracking, due to the growth of...
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Chapter and Conference Paper
A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries
Hyperspectral imaging can rapid and non-destructive monitor physical characteristics and intrinsic chemical information of food. In recent years, many studies have applied hyperspectral imaging to evaluate the...
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Chapter and Conference Paper
IoU-Enhanced Attention for End-to-End Task Specific Object Detection
Without densely tiled anchor boxes or grid points in the image, sparse R-CNN achieves promising results through a set of object queries and proposal boxes updated in the cascaded training manner. However, due ...
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Chapter and Conference Paper
Factor Space and Spectrum for Medical Hyperspectral Image Segmentation
Medical Hyperspectral Imaging (MHSI) brings opportunities for computational pathology and precision medicine. Since MHSI is a 3D hypercube, building a 3D segmentation network is the most intuitive way for MHSI...
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Chapter and Conference Paper
Motion Imagery Classification Algorithm Based on Multiscale Convolution and Transfer Learning
Brain-computer interface is a new human-computer interaction technology that connects the human brain with external devices through computers and other electronic devices, and converts neural activity signals ...
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Chapter
Medicine in Pan-Cancer
Genetic changes could drive tumorigenesis and serve as molecular biomarkers for tumor diagnosis. Oncology has defined subtypes of organ-specific cancers on the basis of tumor markers. The emergence of Pan-canc...
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Chapter and Conference Paper
Deep Mutual Distillation for Semi-supervised Medical Image Segmentation
In this paper, we focus on semi-supervised medical image segmentation. Consistency regularization methods such as initialization perturbation on two networks combined with entropy minimization are widely used ...
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Chapter and Conference Paper
Gene-Induced Multimodal Pre-training for Image-Omic Classification
Histology analysis of the tumor micro-environment integrated with genomic assays is the gold standard for most cancers in modern medicine. This paper proposes a Gene-induced Multimodal Pre-training (GiMP) fram...
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Chapter
Medicine in Colorectal Cancer
Comments: MOSAIC is a multicenter, randomized phase III study to assess the efficacy of adjuvant treatment with the regimen of fluorouracil, leucovorin, and oxaliplatin (FOLFOX) compared to fluorouracil plus leuc...
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Chapter and Conference Paper
Distributed Heterogeneous Parallel Computing Framework Based on Component Flow
Single processor has limited computing performance, slow running speed and low efficiency, which is far from being able to complete complex computing tasks, while distributed computing can solve such huge comp...
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Chapter and Conference Paper
Cross-Stage Class-Specific Attention for Image Semantic Segmentation
Recent backbones built on transformers capture the context within a significantly larger area than CNN, and greatly improve the performance on semantic segmentation. However, the fact, that the decoder utilize...
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Chapter and Conference Paper
Cross Attention Based Style Distribution for Controllable Person Image Synthesis
Controllable person image synthesis task enables a wide range of applications through explicit control over body pose and appearance. In this paper, we propose a cross attention based style distribution module...
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Chapter and Conference Paper
Blind Perceptual Quality Assessment for Single Image Motion Deblurring
Single image deblurring is a typical ill-posed problem. Although a lot of effective algorithms have been proposed, there is a lack of blind evaluation metrics for the perceptual quality of deblurred images. In...
