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  • Dental Excavators Market 2021 development status

    Oct 12, 2021 · In 2020, the global Demolition Excavators market size was USD million and it is expected to reach USD million by the end of 2027, with a magnificent CAGR between 2021 …

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  • Sensors | Free Full-Text | Development of Condition

    Oct 16, 2021 · The condition of the ballast is a critical factor affecting the riding quality and the performance of a track. Fouled ballast can accelerate track irregularities, which results in frequent ballast maintenance requirements. Severe fouling of the ballast can lead to track instability, an uncomfortable ride and, in the worst case, a derailment. In this regard, maintenance engineers perform

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  • Frontiers | Automated Activity Identification for

    In a similar effort, excavator and dump trucks were also used to measure the performance of earthmoving operations utilizing image frame sequences (Kim J. et al., 2018). The concept of bag-of-video-feature-words model was extended using unsupervised classifiers into construction domain to learn and classify labor and equipment activities ( Gong

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  • PM IS&A | PEO IEW&S

    Nov 04, 2021 · Description: Distributed Common Ground System (DCGS-A) is a system of systems and consists of more than 60 components. PM Intel Systems & Analytics Increment 1 includes the Portable Multi-function Workstation (P-MFWS), the Fixed Multi-Function Workstation (F-MFWS), the Geospatial Intelligence (GEOINT) Workstation (GWS), the Intelligence Fusion Server (IFS), the Cross Domain …

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  • Sung-Bae Cho's research works | Yonsei University, Seoul

    Classifying Excavator Operations with Fusion Network of Multi-modal Deep Learning Models. Chapter. Classifying the excavator operations plays an important role in measuring the lifetime, which

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  • A Fully-integrated Gesture and Gait Processing SoC for

    Mar 25, 2020 · An ultra-low-power gesture and gait classification SoC is presented for rehabilitation application featuring (1) mixed-signal feature extraction and integrated low-noise amplifier eliminating expensive ADC and digital feature extraction, (2) an integrated distributed deep neural network (DNN) ASIC supporting a scalable multi-chip neural network for sensor fusion with distortion resiliency for

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  • Fusion network deep learning - causal inference is the

    Fusion network deep learning [1811.02447] Multi-Level Sensor Fusion with Deep Learnin . g from different sensors. This approach is designed to efficiently and automatically balance the trade-off between early and late fusion (i.e. between the fusion of low-level vs high-level information)

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  • Small Object Detection Algorithm Based on Feature Pyramid

    Oct 31, 2019 · In the pyramid network classification in Figure 3, Figure 3(a) shows an image with a fixed input size; a series of gradually smaller layers are generated after convolution and pooling operations, and the final feature layer is output for prediction, which is a common single feature map detection, mostly used for image recognition [18, 19].Figure 3(b) indicates that the input image is first

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  • A Survey on Deep Learning for Multimodal Data Fusion

    A Survey on Deep Learning for Multimodal Data Fusion. Jing Gao, Jing Gao. School of Software Technology, Dalian University of Technology, Dalian 116620, China, and Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian 116620, China [email protected]

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  • Construction Activity Recognition for Simulation Input

    equipment using accelerometer data to classify three modes of an excavator operation: engine-off, idling, and working. Overall, their methodology showed a promising performance with a 93% accuracy in classification of these three classes. However, the level of detail in describing activities was limited to these three trivial modes.

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  • Multi-scale guided feature extraction and classification

    Sep 15, 2021 · A multi-scale and multi-level spectral-spatial feature fusion network for hyperspectral image classification. Remote Sen. 12, 125 (2020). ADS Article Google Scholar

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  • Asymmetric coordinate attention spectral-spatial feature

    Aug 31, 2021 · Multi-feature fusion Hyperspectral image data has rich spectral-spatial features, so multi-feature fusion is the main method of hyperspectral classification. Related technologies include: multi

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  • GitHub - PaoPaoRobot/IROS2019-paper-list: IROS2019 paper

    IROS2019-paper-list. The 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019) has been held on November 4 – 8, 2019 in The Venetian Macao, Macau, China. IROS is one of the largest and most impacting robotics research conferences worldwide. It brings an international community of researchers, educators and

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  • Working stage identification of excavators based on

    Oct 01, 2021 · The identification methods for the excavator working stages based on machine vision and multi-sensor information fusion technologies are reviewed in Section 2. In Section 3, the overall methodology to establish the identification model, including data collection, processing, and classifier training, is described.

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  • Introduction to Video Classification | by Connor Shorten

    Jan 15, 2019 · From this paper, the performance increase from the Time Fusion and Multi-Resolution strategies were somewhat underwhelming. However, the results from Transfer Learning are very eye-opening. It would have been interesting if this report also showed the results with the Single Frame network to contrast if the Slow Fusion scheme was more effective

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  • [2111.03845] Multi-modal land cover mapping of remote

    Nov 06, 2021 · Multi-modality data is becoming readily available in remote sensing (RS) and can provide complementary information about the Earth's surface. Effective fusion of multi-modal information is thus important for various applications in RS, but also very challenging due to large domain differences, noise, and redundancies. There is a lack of effective and scalable fusion techniques for bridging

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  • Classifying Excavator Operations with Fusion Network of

    Up to12%cash back · May 01, 2019 · In this paper, we propose a fusion network that classifies the excavator operations with multi-modal deep learning models. Trained are multiple classifiers with specific type of data, where feature extractors are reused to place at the front of the fusion network.

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  • Classifying Excavator Operations with Fusion Network of

    Download Citation | Classifying Excavator Operations with Fusion Network of Multi-modal Deep Learning Models | Prognostics and health management (PHM) aims to offer comprehensive solutions for

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  • Multi- class classification of breast cancer abnormalities

    Aug 26, 2021 · The real cause of breast cancer is very challenging to determine and therefore early detection of the disease is necessary for reducing the death rate due to risks of breast cancer. Early detection of cancer boosts increasing the survival chance up to 8%. Primarily, breast images emanating from mammograms, X-Rays or MRI are analyzed by radiologists to detect abnormalities. However, …

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  • Sensors | Free Full-Text | A Safety Warning Algorithm

    Oct 25, 2021 · Li, Gu and Jia designed an anti-collision method using ultrasonic sensors to locate obstacles, and multi-sensor information fusion technologies are integrated for anti-collision warning. RFID can also be used for collision detection of construction machinery, such as hydraulic excavators and cranes [20,41].

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