NSTL国家科技图书文献中心

1. University Network Intrusion Detection Method Based on Deep Learning NSTL国家科技图书文献中心

Huang Zhong - 《International Conference on Mechatronics and Intelligent Control (ICMIC 2024),Part Two of Two Parts》 - International Conference on Mechatronics and Intelligent Control - 2025, - 1344730.1～1344730.5 - 共5页

摘要： through sophisticated data* preprocessing strategies. On* | quality and representativeness of the data* are ensured* | deployed in real time, it was verified on multiple data | With the increasing number of network attacks | , the network security of universities has been

关键词： Deep learning | Network intrusion detection | University network | Data preprocessing

2. Critical Role of Data Transformation in Preprocessing: Methods, Algorithms, and Challenges NSTL国家科技图书文献中心

Sanae Borrohou | Rachida Fissoune ... - 《Model and Data Engineering》 - International Conference on Model and Data Engineering - 2025, - 108～122 - 共15页

摘要： data preprocessing, converting raw data into a format | Data transformation is a crucial process in | for harmonizing data* from various sources* | applying data transformation include improving data | analysis. In data* cleaning, transformation plays a key*

关键词： Data processing | Data transformation | Data quality | Transformation process | Data cleaning

3. A Weighted Discrete Wavelet Transform-Based Capsule Network for Malware Classification NSTL国家科技图书文献中心

Tonghua Qiao | Chunjie Cao ... - 《Pattern Recognition,Part IV》 - International Conference on Pattern Recognition - 2025, - 259～274 - 共16页

摘要： preprocessing step for input data. By converting the single | The rise of sophisticated malware poses a | grave threat to computer security, challenging | traditional detection methods. Traditional malware detection | techniques, which primarily rely on feature engineering and

关键词： Malware classification | Image processing | Data preprocessing | Wavelet transform | Capsule network

4. Refining Human-Data Interaction: Advanced Techniques for EEGEyeNet Dataset Precision NSTL国家科技图书文献中心

Jade Wu | Jingwen Dou ... - 《HCI International 2024 - Late Breaking Papers,Part I》 - International Conference on Human-Computer Interaction - 2025, - 407～419 - 共13页

摘要：The EEGEyeNet dataset merges EEG data* with eye* | from EEG data, we gain insights into perceptual | out of the 21,464 total data* points, we reduced the* | role of data* refinement in advancing Brain-Computer* | -tracking technology to advance cognitive research at the

关键词： EEG | Gaze prediction | Machine learning | Vision transformer | EEGEyeNet | Data preprocessing

5. Resource Forecasting of Geographical Area Using Big Data Analytics NSTL国家科技图书文献中心

Venkata Kishore Kuma... | G. Rajesh Chandra ... - 《Recent Advancements in Product Design and Manufacturing Systems》 - International Conference on Innovative Product Design and Intelligent Manufacturing System - 2025, - 111～121 - 共11页

摘要： data analytics system that can handle different kinds | of data* processing for a broad variety of uses. Big* | data analytics (BDA) is an organized method for | , and trends in a sizable amount of data. In this | study, we use BDA to data* resources where*

关键词： Big data | Raw data | Data preprocessing | Machine learning | Data visualization | Classification | Apache hadoop

6. Evaluation of Document Deduplication Algorithms for Large Text Corpora NSTL国家科技图书文献中心

Johannes Leveling | Lennard Helmer ... - 《Machine Learning,Optimization,and Data Science,Part I》 - International Conference on Machine Learning,Optimization,and Data Science - 2025, - 390～404 - 共15页

摘要： correlated with diverse and high-quality training data. One | aspect of data* quality is the presence of duplicate* | documents in the training data. In this paper, we evaluate | five algorithms for deduplicating large data* sets* | deduplicating OpenSubtitles and Oscar data* for five languages*

关键词： Text deduplication | Data preprocessing | LLM training data preparation | Large text corpora

7. Multimodal health data fusion and analysis based on digital twins NSTL国家科技图书文献中心

Fang Guo | Qiming Dong ... - 《International Conference on Physics,Photonics,and Optical Engineering (ICPPOE 2024),Part One of Two Parts》 - International Conference on Physics,Photonics,and Optical Engineering - 2025, - 1355203.1～1355203.10 - 共10页

摘要： for analyzing health data* by developing a digital* | twin model and combining various types of health data | . Initially, the raw data* was cleaned, filled in missing* | values, and standardized for data* consistency and* | analysis (PCA) were developed to enhance data

关键词： Digital twin | Multimodal data fusion | Health data analysis | Disease risk assessment | Data preprocessing | Statistical analysis | Machine learning

8. Performance Evaluation of Data Analysis Techniques in Dry Bean Seed Classification Using kNN and MLP NSTL国家科技图书文献中心

Victor Hugo Schneide... | Alessandro Bof de Ol...... - 《Advances in Artificial Intelligence》 - Ibero-American Conference on Artificial Intelligence - 2025, - 323～334 - 共12页

摘要： impact of data* preprocessing techniques on the* | of dry bean seeds. Using a data* set from the UCI* | removal, and data* normalization, were applied. The k* | effectiveness of these preprocessing* techniques. In addition* | critical role of data* normalization, with Z-Score*

关键词： Machine learning | Data analysis | Beans seed classification

9. An approach to pulmonary nodule detection based on U-Net and 3D-CNN NSTL国家科技图书文献中心

Jiayi Zhang - 《International Conference on Physics,Photonics,and Optical Engineering (ICPPOE 2024),Part Two of Two Parts》 - International Conference on Physics,Photonics,and Optical Engineering - 2025, - 135521S.1～135521S.8 - 共8页

摘要： detection and diagnosis in medical images. Data | preprocessing involved converting files to DICOM format | preprocessing steps included scaling pixel values, saving | and segmentation. Data* augmentation using OpenCV* | volumetric data* for feature extraction and classification*

关键词： Pulmonary nodule detection | Data normalization | Data augmentation | Segmentation | Medical image analysis

10. Practice Analysis of Collaborative Security Application of Power Big Data NSTL国家科技图书文献中心

Junlang Mai | Baifeng Ning ... - 《The International Conference Optoelectronic Information and Optical Engineering (OIOE2024),Part Two of Two Parts》 - International Conference Optoelectronic Information and Optical Engineering - 2025, - 135132Y.1～135132Y.4 - 共4页

摘要：Through data* preprocessing, data fusion and* | technologies, the data* quality and security in smart grids* | methods of power big data* are of great significance for* | collaborative analysis, as well as security protection | have been improved. Specific approaches include power

摘要： through sophisticated data* preprocessing strategies. On* | quality and representativeness of the data* are ensured* | deployed in real time, it was verified on multiple data | With the increasing number of network attacks | , the network security of universities has been

关键词： Deep learning | Network intrusion detection | University network | Data preprocessing

摘要： data preprocessing, converting raw data into a format | Data transformation is a crucial process in | for harmonizing data* from various sources* | applying data transformation include improving data | analysis. In data* cleaning, transformation plays a key*

关键词： Data processing | Data transformation | Data quality | Transformation process | Data cleaning

摘要： preprocessing step for input data. By converting the single | The rise of sophisticated malware poses a | grave threat to computer security, challenging | traditional detection methods. Traditional malware detection | techniques, which primarily rely on feature engineering and

关键词： Malware classification | Image processing | Data preprocessing | Wavelet transform | Capsule network

摘要：The EEGEyeNet dataset merges EEG data* with eye* | from EEG data, we gain insights into perceptual | out of the 21,464 total data* points, we reduced the* | role of data* refinement in advancing Brain-Computer* | -tracking technology to advance cognitive research at the

关键词： EEG | Gaze prediction | Machine learning | Vision transformer | EEGEyeNet | Data preprocessing

摘要： data analytics system that can handle different kinds | of data* processing for a broad variety of uses. Big* | data analytics (BDA) is an organized method for | , and trends in a sizable amount of data. In this | study, we use BDA to data* resources where*

关键词： Big data | Raw data | Data preprocessing | Machine learning | Data visualization | Classification | Apache hadoop

关键词： Text deduplication | Data preprocessing | LLM training data preparation | Large text corpora

摘要： for analyzing health data* by developing a digital* | twin model and combining various types of health data | . Initially, the raw data* was cleaned, filled in missing* | values, and standardized for data* consistency and* | analysis (PCA) were developed to enhance data

关键词： Digital twin | Multimodal data fusion | Health data analysis | Disease risk assessment | Data preprocessing | Statistical analysis | Machine learning

摘要： impact of data* preprocessing techniques on the* | of dry bean seeds. Using a data* set from the UCI* | removal, and data* normalization, were applied. The k* | effectiveness of these preprocessing* techniques. In addition* | critical role of data* normalization, with Z-Score*

关键词： Machine learning | Data analysis | Beans seed classification

摘要： detection and diagnosis in medical images. Data | preprocessing involved converting files to DICOM format | preprocessing steps included scaling pixel values, saving | and segmentation. Data* augmentation using OpenCV* | volumetric data* for feature extraction and classification*

关键词： Pulmonary nodule detection | Data normalization | Data augmentation | Segmentation | Medical image analysis

摘要：Through data* preprocessing, data fusion and* | technologies, the data* quality and security in smart grids* | methods of power big data* are of great significance for* | collaborative analysis, as well as security protection | have been improved. Specific approaches include power

关键词： Power big data | Multi-source | Collaborative security

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： through sophisticated data preprocessing strategies. On | quality and representativeness of the data are ensured | deployed in real time, it was verified on multiple data | With the increasing number of network attacks | , the network security of universities has been

关键词： Deep learning | Network intrusion detection | University network | Data preprocessing

摘要： data preprocessing, converting raw data into a format | Data transformation is a crucial process in | for harmonizing data from various sources | applying data transformation include improving data | analysis. In data cleaning, transformation plays a key

关键词： Data processing | Data transformation | Data quality | Transformation process | Data cleaning

摘要： preprocessing step for input data. By converting the single | The rise of sophisticated malware poses a | grave threat to computer security, challenging | traditional detection methods. Traditional malware detection | techniques, which primarily rely on feature engineering and

关键词： Malware classification | Image processing | Data preprocessing | Wavelet transform | Capsule network

摘要：The EEGEyeNet dataset merges EEG data with eye | from EEG data, we gain insights into perceptual | out of the 21,464 total data points, we reduced the | role of data refinement in advancing Brain-Computer | -tracking technology to advance cognitive research at the

关键词： EEG | Gaze prediction | Machine learning | Vision transformer | EEGEyeNet | Data preprocessing

摘要： data analytics system that can handle different kinds | of data processing for a broad variety of uses. Big | data analytics (BDA) is an organized method for | , and trends in a sizable amount of data. In this | study, we use BDA to data resources where

关键词： Big data | Raw data | Data preprocessing | Machine learning | Data visualization | Classification | Apache hadoop

关键词： Text deduplication | Data preprocessing | LLM training data preparation | Large text corpora

摘要： for analyzing health data by developing a digital | twin model and combining various types of health data | . Initially, the raw data was cleaned, filled in missing | values, and standardized for data consistency and | analysis (PCA) were developed to enhance data

关键词： Digital twin | Multimodal data fusion | Health data analysis | Disease risk assessment | Data preprocessing | Statistical analysis | Machine learning

摘要： impact of data preprocessing techniques on the | of dry bean seeds. Using a data set from the UCI | removal, and data normalization, were applied. The k | effectiveness of these preprocessing techniques. In addition | critical role of data normalization, with Z-Score

关键词： Machine learning | Data analysis | Beans seed classification

摘要： detection and diagnosis in medical images. Data | preprocessing involved converting files to DICOM format | preprocessing steps included scaling pixel values, saving | and segmentation. Data augmentation using OpenCV | volumetric data for feature extraction and classification

关键词： Pulmonary nodule detection | Data normalization | Data augmentation | Segmentation | Medical image analysis

摘要：Through data preprocessing, data fusion and | technologies, the data quality and security in smart grids | methods of power big data are of great significance for | collaborative analysis, as well as security protection | have been improved. Specific approaches include power

关键词： Power big data | Multi-source | Collaborative security

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： through sophisticated data* preprocessing strategies. On* | quality and representativeness of the data* are ensured* | deployed in real time, it was verified on multiple data | With the increasing number of network attacks | , the network security of universities has been

摘要： data preprocessing, converting raw data into a format | Data transformation is a crucial process in | for harmonizing data* from various sources* | applying data transformation include improving data | analysis. In data* cleaning, transformation plays a key*

摘要：The EEGEyeNet dataset merges EEG data* with eye* | from EEG data, we gain insights into perceptual | out of the 21,464 total data* points, we reduced the* | role of data* refinement in advancing Brain-Computer* | -tracking technology to advance cognitive research at the

摘要： data analytics system that can handle different kinds | of data* processing for a broad variety of uses. Big* | data analytics (BDA) is an organized method for | , and trends in a sizable amount of data. In this | study, we use BDA to data* resources where*

摘要： for analyzing health data* by developing a digital* | twin model and combining various types of health data | . Initially, the raw data* was cleaned, filled in missing* | values, and standardized for data* consistency and* | analysis (PCA) were developed to enhance data

摘要： impact of data* preprocessing techniques on the* | of dry bean seeds. Using a data* set from the UCI* | removal, and data* normalization, were applied. The k* | effectiveness of these preprocessing* techniques. In addition* | critical role of data* normalization, with Z-Score*

摘要： detection and diagnosis in medical images. Data | preprocessing involved converting files to DICOM format | preprocessing steps included scaling pixel values, saving | and segmentation. Data* augmentation using OpenCV* | volumetric data* for feature extraction and classification*

摘要：Through data* preprocessing, data fusion and* | technologies, the data* quality and security in smart grids* | methods of power big data* are of great significance for* | collaborative analysis, as well as security protection | have been improved. Specific approaches include power