Robust Deep Neural Network Learning Based on Active Sampling [PDF]
Recently,deep learning models have been widely used in various real-world tasks.Improving the robustness of deep neural networks has become an important research direction in machine learning field.Recent works show that training the deep model with ...
ZHOU Hui, SHI Hao-chen, TU Yao-feng, HUANG Sheng-jun
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Elastic CRFs for Open-Ontology Slot Filling
Slot filling is a crucial component in task-oriented dialog systems that is used to parse (user) utterances into semantic concepts called slots. An ontology is defined by the collection of slots and the values that each slot can take.
Yinpei Dai +5 more
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Safety risk sources of autonomous mobile machines
Autonomous mobile machines are applied increasingly often in outdoor applications, but only in places, where logistic problems and safety issues are resolvable. Solving safety issues require good hazard identification and risk estimation. The aim of this
Malm Timo +3 more
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NISQ-Ready Community Detection Based on Separation-Node Identification
The analysis of network structure is essential to many scientific areas ranging from biology to sociology. As the computational task of clustering these networks into partitions, i.e., solving the community detection problem, is generally NP-hard ...
Jonas Stein +5 more
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Modeling of working processes in the throttle-adjustable hydraulic drive of manipulation systems with separate movement of links during operation of mobile machines [PDF]
The article discusses the functional-structural scheme and the mathematical model of the working hydrodynamic processes in the throttle-adjustable hydraulic drive of the technological cranes-manipulators.
Alexander V. Lagerev, Igor A. Lagerev
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Deep Hash Retrieval Algorithm for Medical Images Based on Attention Mechanism [PDF]
A medical image retrieval method combining attention mechanism is proposed for a series of problems such as poor retrieval performance,low accuracy and lack of interpretability in current medical image retrieval.Based on deep convolutional neural ...
ZHU Cheng-zhang, HUANG Jia-er, XIAO Ya-long, WANG Han, ZOU Bei-ji
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Synthesis of optimal laws for frequency-adjustable hydraulic drives of manipulation systems of mobile machines [PDF]
The article is devoted to the problem of increasing the efficiency of the use of frequency adjustment of the hydraulic drive of the mechanisms for the movement of links of articulated manipulation systems of mobile transport-technological machines ...
Lagerev A.V., Lagerev I.A.
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Design and evaluation of operational characteristics of energy efficient crane-manipulator in-stallation for mobile transport-technological machines [PDF]
The article describes the design and features of the original energy-efficient manipulation system for loading and unloading operations using a mobile transport and technological machine.
Lagerev A.V., Lagerev I.A.
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Modeling of working processes in the frequency-adjustable hydraulic drive of manipulation systems with separate movement of links during operation of mobile machines [PDF]
The article discusses the functional-structural scheme and the mathematical model of the working hydrodynamic processes in the frequency-adjustable hydraulic drive of the technological cranes-manipulators. The model allows to perform computer simulations
Lagerev A.V., Lagerev I.A.
doaj +1 more source
Modeling of working processes in the throttle-adjustable hydraulic drive of manipulation systems with conjoint movement of links during operation of mobile machines [PDF]
The article proposes a functional-structural scheme and a mathematical model of working hydrodynamic processes in a throttle-adjustable hydraulic drive of handling systems (cranes-manipulators) of mobile transport-technological machines during the ...
Lagerev A.V., Lagerev I.A.
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