In the last twenty years, the share of renewable energy sources (RES) in total electricity production has increased significantly, which has led to certain problems in power system operation. In systems with a signifi...
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In the paper we discuss key security risks, which we feel pose danger to banking Sector and the government. In order to increase client confidence and happiness, the banking industry is constantly exploring for new pl...
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Due to the challenging channel conditions in WBANs, lengthier packets might be more problematic. By and large, coupled bundles can withstand the ingenious effects of cleverly visible above. As a result, the best packe...
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Electronic gadgets now work closely together as a result of the growth of the Internet of things (IoT) and Mobile Edge computing (MEC). Strong dependability and integrity of the technologies are required. But the pres...
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In this paper, we present an overview of the NLPCC 2022 Shared Task on Speech Entity Linking. this task aims to study entity linking methods for spoken languages. this speech entity linking task includes two tracks: E...
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ISBN:
(纸本)9783031171895;9783031171888
In this paper, we present an overview of the NLPCC 2022 Shared Task on Speech Entity Linking. this task aims to study entity linking methods for spoken languages. this speech entity linking task includes two tracks: Entity recognition and Disambiguation (track 1), Entity Disambiguation-Only (track 2). 20 teams registered in the challenging task, and the top system achieved 0.7460 F1 in track 1 and 0.8884 in track 2. In this paper, we present the task description, dataset description, team submission ranking and results and analyze the results.
We train a convolutional neural network for handwritten digits from the MNIST dataset. the aim the paper is to test the network for extremal datasets. Actually, we take digits contours as the validating set. the recog...
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this paper provides an analytical review of the subject area, approaches and methods for real-time control systems with application of the machine learning. the review helps to choose approaches to control robotic dev...
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ISBN:
(纸本)9781665426053
this paper provides an analytical review of the subject area, approaches and methods for real-time control systems with application of the machine learning. the review helps to choose approaches to control robotic devices, methods of artificial intelligence to perform patternrecognition and classification, technologies to design a control system and simulate a robotic device. the design and software implementation stage involved the creation of a structural diagram and description of the selected technologies, training a neural network for recognition and classification of geometric objects, software implementation of control system components. the control system was implemented using the Swift programming language and other technologies, and the configuration and creation of a neural network using the CreateML framework.
the proceedings contain 30 papers. the special focus in this conference is on Computational and Experimental Engineering and Sciences. the topics include: Qualitative Study of a Class of Exponential Difference Equatio...
ISBN:
(纸本)9783031020964
the proceedings contain 30 papers. the special focus in this conference is on Computational and Experimental Engineering and Sciences. the topics include: Qualitative Study of a Class of Exponential Difference Equations with Periodic Coefficient;research on the Digital Image Processing Method Based on Parallel computing;rapid patternrecognition of Electric Submersible Pump Ammeter Card Based on Artificial Neural Network;the Application of Encryption Algorithm in Information Security Reflected;multiscale Finite Element Technique for Mathematical Modelling of Multi-physics Processes in Heterogeneous Media;multilevel Modeling of Woven Composite Shell Structure;study on Rock-Breaking Mechanism of Highly Plastic Formations;the Application of Adaptive Algorithm in the Maximum Power Tracking of Power Photovoltaic System;preface;Role of Gluex in the Ion Exchange Mechanism of CLCF F−/H+ Antiporter;forest Environment Association Analysis for the Pandemic Health with Rectified Linear Unit Correlations;state and Covariance Matrix Propagation for Continuous-Discrete Extended Kalman Filter Using Modified Chebyshev Picard Iteration Method;a Novel Model to Calculate the Fluctuating Pressure in Eccentric Annulus for Bingham Fluid;interactive Restoration of Implicitly Defined Shapes;numerical Simulation Research on Seal Failure of Remedial Cement Sheath in Oil and Gas Wells;intelligent recognition of Waterline Value Based on Neural Network;compact Ultra-Wideband Antenna for Microwave Imaging Applications;medical Compound Figure Detection Using Inductive Transfer and Ensemble Learning;love Wave in a Layered Magneto-Electro-Elastic Structure with Flexomagneticity and Micro-Inertia Effect;Research on Risk Evaluation of New Infrastructure PPP Projects Based on PSO-FAHP;the Dynamic Coupling of Heterogeneous Robotic Systems for Spacecraft Motion Emulation.
the proceedings contain 11 papers. the special focus in this conference is on Intelligent computing Systems. the topics include: On the Performance of Preconditioned Methods to Solve Lp -Norm Phase Unwrapping;Fault Di...
ISBN:
(纸本)9783030984564
the proceedings contain 11 papers. the special focus in this conference is on Intelligent computing Systems. the topics include: On the Performance of Preconditioned Methods to Solve Lp -Norm Phase Unwrapping;Fault Diagnosis of Combustion Engines in MTU 16VS4000-G81 Generator Sets Using Fuzzy Logic: An Approach to Normalize Specific Fuel Consumption;DDoS Attack Preventing and Detection withthe Artificial Intelligence Approach;iris recognition Using Supervised Learning Based on Matching Features;convolutional Neural Network for Segmentation of Single Cell Gel Electrophoresis Assay;Evaluation of Human SCD Test by Digital Image Analysis;machine Vision-Based Expert System for Automated Skin Cancer Detection;AI Used to Identify Car Accident Injury and Mortality Risk Factors in Dubai UAE;toward Automatic Water Pollution Analysis: A Machine Learning Approach for Water-Quality Monitoring through pattern Classification of Water Crystallization.
Pedestrian detection has made significant progress in both academic and industrial fields. However, there are still some challenging questions with regard to occlusion scene. In this paper, we propose a novel and robu...
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