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ENCODERS: 作品数：24被引量：37H指数：3; 导出分析报告; 相关领域：电子电信自动化与计算机技术更多>>; 相关作者：张功更多>>; 相关机构：华中师范大学南京邮电大学更多>>; 相关期刊：《Journal of Automation and Intelligence》《Chinese Journal of Mechanical Engineering》《Language and Semiotic Studies》《Computers, Materials & Continua》更多>>; 相关基金：国家自然科学基金中国博士后科学基金湖北省自然科学基金更多>>

SPADE:A spatial information assisted collision distance estimator for robotic arm: 《Journal of Automation and Intelligence》2024年第4期250-259,共10页Jiakang Zhou Yue Cao Yu-Xuan Ren Steve Feng Shu; The movement of a robotic arm in the working environment requires efficient and adequate motion planning.The procedure of collision detection based on the object geometry is crucial to plan the motion trajectories,and...; 关键词：Collision detection Collision distance estimation Neural networks Multiple encoders

Deep-fake video detection approaches using convolutional–recurrent neural networks被引量：1: 《Journal of Control and Decision》2023年第2期198-214,共17页Shraddha Suratkar Sayali Bhiungade Jui Pitale Komal Soni Tushar Badgujar Faruk Kazi; Deep-Fake is an emerging technology used in synthetic media which manipulates individuals in existing images and videos with someone else’s likeness.This paper presents the comparative study of different deep neural ...; 关键词：Deep-FAKES Convolution Neural Network(CNN) Generator Adversarial Network(GAN) Auto encoders Recurrent Neural Network(RNN) Long Short-Term Memory(LSTM)

Short Term Traffic Flow Prediction Using Hybrid Deep Learning: 《Computers, Materials & Continua》2023年第4期1641-1656,共16页Mohandu Anjaneyulu Mohan Kubendiran; Traffic flow prediction in urban areas is essential in the IntelligentTransportation System (ITS). Short Term Traffic Flow (STTF) predictionimpacts traffic flow series, where an estimation of the number of vehicleswil...; 关键词：Short term traffic flow prediction principal component analysis stacked auto encoders long short term memory k nearest neighbors:intelligent transportation system

Identification of Anomaly Scenes in Videos Using Graph Neural Networks: 《Computers, Materials & Continua》2023年第3期5417-5430,共14页Khalid Masood Mahmoud M.Al-Sakhnini Waqas Nawaz Tauqeer Faiz Abdul Salam Mohammad Hamza Kashif; Generally,conventional methods for anomaly detection rely on clustering,proximity,or classification.With themassive growth in surveillance videos,outliers or anomalies find ingenious ways to obscure themselves in the ...; 关键词：Graph neural network deep learning anomaly detection auto encoders

Swarm Optimization and Machine Learning for Android Malware Detection被引量：1: 《Computers, Materials & Continua》2022年第12期6327-6345,共19页K.Santosh Jhansi P.Ravi Kiran Varma Sujata Chakravarty; Malware Security Intelligence constitutes the analysis of applications and their associated metadata for possible security threats.Application Programming Interfaces(API)calls contain valuable information that can hel...; 关键词：Android malware API calls auto-encoders ant lion optimization cuckoo search optimization firefly optimization artificial neural networks artificial neuronal classifier

Faster Zero-shot Multi-modal Entity Linking via Visual-Linguistic Representation被引量：1: 《Data Intelligence》2022年第3期493-508,共16页Qiushuo Zheng Hao Wen Meng Wang Guilin Qi Chaoyu Bai; Multi-modal entity linking plays a crucial role in a wide range of knowledge-based modal-fusion tasks, i.e., multi-modal retrieval and multi-modal event extraction. We introduce the new ZEro-shot Multi-modal Entity Li...; 关键词：Knowledge Graph Multi-modal Learning Poly Encoders

Identification of abnormal tribological regimes using a microphone and semi-supervised machine-learning algorithm被引量：4: 《Friction》2022年第4期583-596,共14页Vigneashwara PANDIYAN Josef PROST Georg VORLAUFER Markus VARGA Kilian WASMER; This work was funded by the Austrian COMET Program(project InTribology,No.872176)via the Austrian Research Promotion Agency(FFG);the Provinces of Niederösterreich and Vorarlberg and has been carried out within the Austrian Excellence Centre of Tribology(AC2T Research GmbH);Experiments were carried out within the framework of a project funded by the government of Lower Austria(No.K3-F-760/001-2017).; Functional surfaces in relative contact and motion are prone to wear and tear,resulting in loss of efficiency and performance of the workpieces/machines.Wear occurs in the form of adhesion,abrasion,scuffing,galling,an...; 关键词：surface integrity acoustic emission auto encoders condition monitoring wear prediction

Few-shot font style transfer with multiple style encoders被引量：1: 《Science China(Information Sciences)》2022年第6期79-80,共2页Kejun ZHANG Rui ZHANG Yonglin WU Yifei LI Yonggen LING Bolin WANG Lingyun SUN Yingming LI; supported by Key R&D Program of Zhejiang Province(Grant No.2022C03126);Key Project of Natural Science Foundation of Zhejiang Province(Grant No.LZ19F020002);National Science and Technology Innovation 2030 Major Project of the Ministry of Science(Grant No.2018AAA0100703);National Key R&D Program of China(Grant No.2018YFB1403600);Tencent Robotics X Lab Rhino-Bird Joint Research Program(Grant No.JR2020001 TEG&ZJU)。; Dear editor,From the sketch to an encapsulated font,text font design is a labor-intensive and time-consuming process that relies heavily on the expertise of designers and usually takes months,even years,for a professi...; 关键词：EDITOR SKETCH consuming

Intrusion Detection through DCSYS Propagation Compared to Auto-encoders: 《Journal of Computer Science Research》2021年第3期42-49,共8页Fatima Isiaka Zainab Adamu; In network settings,one of the major disadvantages that threaten the network protocols is the insecurity.In most cases,unscrupulous people or bad actors can access information through unsecured connections by planting...; 关键词：Dynamic control system Deep learning Artificial neural network Auto-encoders Identify space model BENIGN ANOMALIES

A New Method for Sentiment Analysis Using Contextual Auto-Encoders被引量：2: 《Journal of Computer Science & Technology》2018年第6期1307-1319,共13页Hanen Ameur Salma Jamoussi Abdelmajid Ben Hamadou; Sentiment analysis, a hot research topic, presents new challenges for understanding users＇ opinions and judg-ments expressed online. They aim to classify the subjective texts by assigning them a polarity label. In th...; 关键词：SENTIMENT analysis recursive auto-encoder stacked auto-encoder POINTWISE mutual information deep embed-ding representation

ENCODERS