QoS preference-aware replica selection strategy in cloud computing by XIONG Run-qun, LUO Jun-zhou, SONG Ai-bo, JIN Jia-hui

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Congestion-Aware Incentive Scheme Based on Double Auction for DTN by Qingfeng Jiang, Chaoguang Men, Meijuan Jia, Xiaoxu Cheng

“…To stimulate the DTN selfish nodes to cooperatively forward messages when the buffer was limited, a congestion-aware incentive scheme based on double auction for DTN was proposed. …”
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Uncertainty-aware deep learning in healthcare: A scoping review. by Tyler J Loftus, Benjamin Shickel, Matthew M Ruppert, Jeremy A Balch, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Philip A Efron, William R Hogan, Parisa Rashidi, Gilbert R Upchurch, Azra Bihorac

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Climate-Aware Machine Learning for Above-Ground Biomass Estimation by Aske Meineche

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Temperature aware energy-efficient task scheduling strategies for mapreduce by Bin LIAO, Tao ZHANG, Jiong YU, Ji LIU, tong YINLu, Gang GUO

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Attention aware edge-node exchange graph neural network by Ruiqin WANG, Yimin HUANG, Qishun JI, Chaoyi WAN, Zhifeng ZHOU

“…An attention aware edge-node exchange graph neural network (AENN) model was proposed, which used edge-node switched convolutional graph neural network method for graph encoding in a graph structured data representation framework for semi supervised classification and regression analysis.AENN is an universal graph encoding framework for embedding graph nodes and edges into a unified latent feature space.Specifically, based on the original undirected graph, the convolution between edges and nodes was continuously switched, and during the convolution process, attention mechanisms were used to assign weights to different neighbors, thereby achieving feature propagation.Experimental studies on three datasets show that the proposed method has significant performance improvements in semi-supervised classification and regression analysis compared to existing methods.…”
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User interest-aware content replica optimized placement algorithm by Xiao-long YANG, Xin-xin WANG, Min ZHANG, Ke-ping LONG, Qiong HUANG

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Semantic‐aware visual consistency network for fused image harmonisation by Huayan Yu, Hai Huang, Yueyan Zhu, Aoran Chen

“…To better preserve the input semantic information, the authors design a simple and effective semantic‐aware adaptive denormalisation (SADE) module. Experimental results demonstrate that the authors’ proposed method achieves competitive performance on the iHarmony4 dataset and benefits from the harmonisation of fused images with incompatible appearance gaps.…”
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Self-Protection Technology for Application-Aware Network Management System by Fei Wang

Subjects: “…application awareness…”
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Interval-Aware Scheduling of Surveillance Drones: Exact and Heuristic Approaches by Kaito Mori, Hiroki Nishikawa, Hiroyuki Tomiyama

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Analysis and Applications of Location-Aware Big Complex Network Data by Jianxin Li, Ke Deng, Xin Huang, Jiajie Xu

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Sensor and Dynamic Pricing Aware Vertical Transportation in Smart Buildings by Hyunkyoung Choi, Kyungwoon Cho, Hyokyung Bahn

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Bursty-link-aware adaptive link quality estimation method by Ting-pei HUANG, Dong LI, Zhao-liang ZHANG, Li CUI

“…A bursty-link-aware and adaptive link quality estimation method,named EasiLQE,was proposed.The beacon packets are sent by nodes in a long-term period to probe the link quality.Meanwhile,nodes passively measure the mean value of RSSI of received packets.If the mean value of RSSI is lower than a certain threshold,the EasiLQE initiates the link quality estimation process in a short-term period.Finally,the EasiLQE uses error-based filter to estimate the link quality in future.The experimental results show that the EasiLQE can react quickly and accurately to persistent link quality changes in a short time,and also can smooth the occasional link quality fluctuations,which are not acute,to keep the link quality estimator stable,and decrease the estimation costs.…”
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A Time-Aware CNN-Based Personalized Recommender System by Dan Yang, Jing Zhang, Sifeng Wang, XueDong Zhang

“…In this paper, a time-aware convolutional neural network- (CNN-) based personalized recommender system TC-PR is proposed. …”
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Feature-Aware Cooperative Relaying for Multiflow Wireless Sensor Networks by Ming Tao, Huaqiang Yuan, Wenhong Wei, Chao Qu

“…To address this issue, in terms of the delay sensitivity imposed on the deployed flows, a feature-aware cooperative relay selection scheme is developed by comprehensively taking both the routing selection and contention avoidance into account, in which the concept of abstract domain is introduced to extend the covered relay nodes. …”
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Sleeping Schedule-Aware Local Broadcast in Wireless Sensor Networks by Jue Hong, Zhuo Li, Dianjie Lu, Sanglu Lu

“…To handle the periodical sleep issue, we focus on designing effective sleeping schedule-aware broadcast algorithms. We practically propose SALB, a sleeping schedule-aware local broadcast algorithm. …”
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Obstacle-Aware Crowd Surveillance with Mobile Robots in Transportation Stations by Yumin Choi, Hyunbum Kim

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Distributed Channel-Aware Quantization Based on Maximum Mutual Information by Sahar Movaghati, Masoud Ardakani

“…Using the mutual information as the design criterion, we can easily integrate the effect of communication channels in the design and consequently design channel-aware quantization rules. We observe that the optimal design depends on both the measurement and channel noises. …”
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Context-Aware Fine-Grained Product Recognition on Grocery Shelves by Lovre Antonio Budimir, Zoran Kalafatic, Marko Subasic, Sven Loncaric

“…Second, we propose the Context-Aware Query Expansion (CAQE) module for the inference phase, in which each feature vector of a product on a shelf is expanded with the feature vectors of neighboring products. …”
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Context-aware and self-adaptive trust model for pervasive computing by Jiang-tao WANG, Zhi-gang CHEN, Xiao-heng DENG

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