CONTEXT-AWARE

作品数：87被引量：58H指数：4
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Context-Aware Feature Extraction Network for High-Precision UAV-Based Vehicle Detection in Urban Environments
《Computers, Materials & Continua》2024年第12期4349-4370,共22页Yahia Said Yahya Alassaf Taoufik Saidani Refka Ghodhbani Olfa Ben Rhaiem Ali Ahmad Alalawi 
funded by the Deanship of Scientific Research at Northern Border University,Arar,Saudi Arabia through research group No.(RG-NBU-2022-1234).
The integration of Unmanned Aerial Vehicles(UAVs)into Intelligent Transportation Systems(ITS)holds trans-formative potential for real-time traffic monitoring,a critical component of emerging smart city infrastructure....
关键词：Smart cities UAVS vehicle detection trafficmanagement intelligent transportation systems anchor-free detection high-resolution network context-aware feature extraction multi-head self-attention 
Context-aware reinforcement learning for cooling operation of data centers with an Aquifer Thermal Energy Storage
《Energy and AI》2024年第3期233-246,共14页Lukas Leindals Peter Grønning Dominik Franjo Dominković Rune Grønborg Junker 
the project titled ‘Cool-Data Flexible Cooling of Data Centers’ and was financed by the Innovation Fund Denmark (nr. 0177-00066B).
Data centers are often equipped with multiple cooling units. Here, an aquifer thermal energy storage (ATES) system has shown to be efficient. However, the usage of hot and cold-water wells in the ATES must be balanced...
关键词：Data centers ATES Smart energy systems Reinforcement learning Delayed rewards 
Multi-scale context-aware network for continuous sign language recognition
《虚拟现实与智能硬件（中英文）》2024年第4期323-337,共15页Senhua XUE Liqing GAO Liang WAN Wei FENG 
Supported by the National Natural Science Foundation of China(62072334).
The hands and face are the most important parts for expressing sign language morphemes in sign language videos.However,we find that existing Continuous Sign Language Recognition(CSLR)methods lack the mining of hand an...
关键词：Continuous sign language recognition Multi-scale motion attention Multi-scale temporal modeling 
CALTM:A Context-Aware Long-Term Time-Series Forecasting Model
《Computer Modeling in Engineering & Sciences》2024年第4期873-891,共19页Canghong Jin Jiapeng Chen Shuyu Wu Hao Wu Shuoping Wang Jing Ying 
funded by the Natural Science Foundation of Zhejiang Province of China under Grant (No.LY21F020003);Zhejiang Science and Technology Plan Project (No.2021C02060);the Scientific Research Foundation of Hangzhou City University (No.X-202206).
Time series data plays a crucial role in intelligent transportation systems.Traffic flow forecasting represents a precise estimation of future traffic flow within a specific region and time interval.Existing approache...
关键词：Traffic volume forecasting scene matching multi module fusion 
Context-Aware Augmented Reality Using Human-Computer Interaction Models
《Journal of Control and Decision》2024年第1期1-14,共14页Ying Sun Qiongqiong Guo Shumei Zhao Karthik Chandran G.Fathima 
Augmented Reality is a technique that allows users to overlap digital information with their physical world.The Augmented Reality(AR)displays have an exceptional characteristic from the Human–Computer Interaction(HCI...
关键词：Augmented Reality CONTEXT-AWARE Human–Computer Interaction 
Context-Aware Semantic Type Identification for Relational Attributes
《Journal of Computer Science & Technology》2023年第4期927-946,共20页丁玥 郭雨荷 卢卫 李海翔 张美慧 李晖 潘安群 杜小勇 
supported by the National Key Research and Development Program of China under Grant No.2020YFB2104100;the National Natural Science Foundation of China under Grant Nos.61972403 and U1711261;the Fundamental Research Funds for the Central Universities of China,the Research Funds of Renmin University of China,and Tencent Rhino-Bird Joint Research Program.
Identifying semantic types for attributes in relations,known as attribute semantic type(AST)identification,plays an important role in many data analysis tasks,such as data cleaning,schema matching,and keyword search i...
关键词：attribute semantic type(AST)identification CONTEXT-AWARE semantic embedding knowledge base embedding 
Improving Recommendation for Effective Personalization in Context-Aware Data Using Novel Neural Network被引量：1
《Computer Systems Science & Engineering》2023年第8期1775-1787,共13页R.Sujatha T.Abirami 
The digital technologies that run based on users’content provide a platform for users to help air their opinions on various aspects of a particular subject or product.The recommendation agents play a crucial role in ...
关键词：Recommendation agents context-aware recommender systems collaborative recommendation personalization systems optimized neural network-based contextual recommendation algorithm 
Relevant Visual Semantic Context-Aware Attention-Based Dialog
《Computers, Materials & Continua》2023年第8期2337-2354,共18页Eugene Tan Boon Hong Yung-Wey Chong Tat-Chee Wan Kok-Lim Alvin Yau 
The existing dataset for visual dialog comprises multiple rounds of questions and a diverse range of image contents.However,it faces challenges in overcoming visual semantic limitations,particularly in obtaining suffi...
关键词：Visual dialog CONTEXT-AWARE relevant history computer vision natural language processing 
Context-aware API recommendation using tensor factorization
《Science China(Information Sciences)》2023年第2期74-89,共16页Yu ZHOU Chen CHEN Yongchao WANG Tingting HAN Taolue CHEN 
supported by National Natural Science Foundation of China (Grant Nos. 61972197, 61802179);Collaborative Innovation Center of Novel Software Technology and Industrialization, and Qing Lan Project;Taolue CHEN is partially supported by Birkbeck BEI School Project (EFFECT);National Natural Science Foundation of China (Grant No. 61872340);Guangdong Science and Technology Department (Grant No. 2018B010107004);Natural Science Foundation of Guangdong Province, China (Grant No. 2019A1515011689)。
An activity constantly engaged by most programmers in coding is to search for appropriate application programming interfaces(APIs). Contextual information is widely recognized to play a crucial role in effective API r...
关键词：API recommendation tensor factorization context awareness word embedding intelligent software development 
A Deep Learning Based Approach for Context-Aware Multi-Criteria Recommender Systems
《Computer Systems Science & Engineering》2023年第1期471-483,共13页Son-Lam VU Quang-Hung LE 
This work is supported by project No.B2020-DQN-08 from the Ministry of Education and Training of Vietnam.
Recommender systems are similar to an informationfiltering system that helps identify items that best satisfy the users’demands based on their pre-ference profiles.Context-aware recommender systems(CARSs)and multi-cr...
关键词：Recommender systems CONTEXT-AWARE MULTI-CRITERIA deep learning deep neural network 
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