New Features

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New Features

机译：新的功能

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MAAC Machinery, a world leader in the manufacturing of cut sheet fed thermoforming equipment, has released several new and unique features to their MAAC and Comet thermo-forming machine lines.

机译：MAAC机械公司是单张纸热成型设备制造的全球领导者，它已为其MAAC和Comet热成型机生产线发布了多项新功能。

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《PLASTICS Distributor & Fabricator》 |2013年第4期|共2页
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PLASTICS Distributor amp; Fabricator group;
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正文语种 eng
中图分类合成树脂与塑料工业;
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1. Shifting Attention in Feature Space: Fast Facilitation of the To-Be-Attended Feature Is Followed by Slow Inhibition of the To- Be-Ignored Feature [J] . Vieweg Paula, Mueller Matthias M. Journal of Cognitive Neuroscience . 2021,第4期

机译：在特征空间中引入注意：快速促进待办事项功能，然后抑制令人忽略的功能
2. FD-TR: feature detector based on scale invariant feature transform and bidirectional feature regionalization for digital image watermarking [J] . Li Mianjie, Yuan Xiaochen Multimedia Tools and Applications . 2021,第21a23期

机译：FD-TR：特征探测器基于比例不变特征变换和数字图像水印的双向特征区域化
3. A Novel Borda Count Based Feature Ranking and Feature Fusion Strategy to Attain Effective Climatic Features for Rice Yield Prediction [J] . Subhadra Mishra, Debahuti Mishra, Pradeep Kumar Mallick, Informatica: An International Journal of Computing and Informatics . 2021,第1期

机译：基于BORDA计数的特征排名和特征融合策略，以获得水稻产量预测的有效气候特征
4. Improved Feature Generalization in Smaller Datasets with Early Feature Fusion of Handcrafted and Automated Features for Content Based Image Classification [C] . Rik Das, Mohammad Arshad, P.K. Manjhi, International Conference on Computing, Communication and Networking Technologies . 2020

机译：基于内容的图像分类，通过手工和自动特征的早期特征融合，改进了较小数据集中的特征概括
5. Kaizen Programming with Enhanced Feature Discovery: An Automated Approach to Feature Selection and Feature Discovery for Prediction Models [D] . Stelmack, John. 2020

机译：Kaizen编程，具有增强功能发现：用于预测模型的特征选择和特征发现的自动方法
6. Feature Fusion of Deep Spatial Features and Handcrafted Spatiotemporal Features for Human Action Recognition [O] . Md Azher Uddin, Young-Koo Lee 2019

机译：深度空间特征与手工时空特征的特征融合用于人类动作识别
7. Figure 7: The comparison of 1st and 2nd features for the non-weighted and weighted data using MA tasks HbO features set, (A) Non-weighted HbO features, (B) KMCC weighted HbO features, and (C) KMCCD weighted HbO features. [O] . -1

机译：图7：使用MA TASKS HBO功能的非加权和加权数据的第1和第2个功能的比较，（a）非加权HBO功能，（b）KMCC加权HBO功能，（C）KMCCD加权HBO功能。
8. Mid-Infrared Emission Features in the ISM: Feature-to-Features Flux Ratios [R] . Lu, N. Y. 1998

机译：Ism中的中红外发射特征：特征到特征的通量比率

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