678 results found.
Year: 2014, Volume: 14, Number: 1
... access patterns Index Terms — cache memory, fuzzy neural networks, with a filtering effect. Furthermore, LRU ... , FIFO demonstrates the best advantages with regard to neural network (NN) and poor performance as shown in ... . S. R. Jang, "ANFIS: adaptive-network-based fuzzy inference http://dx.doi.org/10.1109 ...
Terms matched: 4 - Score: 18 - 707k
Year: 2023, Volume: 23, Number: 2
... fast-response vehicle-to-grid services may the excessive use of open communication networks in the be given as examples of the controllable ... and depletion risk of the non-renewable and identifying the communication network type to achieve energy sources, integration of renewable ... Systems, vol. 27, no. Conference on Networking, Sensing and Control (ICNSC), pp ...
Terms matched: 4 - Score: 18 - 1,345k
Year: 2014, Volume: 14, Number: 3
... jinkyu@skku.edu 1 Abstract — Web browsing on mobile networks is slow in packet communications slow down the overall ... fields. But, most of the WAN and mobile network. Since the traffic for the connection header field ... the proxy server adds HTTP header fields to HTTP and Networking, vol. 4, pp. 2495 – ...
Terms matched: 3 - Score: 287 - 1,318k
Year: 2014, Volume: 14, Number: 3
... calculating the most confident combined trust values security. Trust networks are widely used to formalize trust [3] ... , Number 3, 2014 On the Optimality of Trust Network Analysis with Subjective Logic Yongsu PARK Division of Computer ... entities using subjective logic and aspects in e-commerce, social networking and computer finding/calculating the most confident combined ...
Terms matched: 3 - Score: 267 - 812k
Year: 2018, Volume: 18, Number: 3
... the flexibility to guide them to User profiling in computer networks is a very common decide the next move. ... addition, most of the IoT studies either concentrate on network topologies or power consumption, communicates by means of ... data and voice. For while in this study, dynamicity and exact location estimation instance, Chang,Yi ...
Terms matched: 3 - Score: 255 - 869k
Year: 2013, Volume: 13, Number: 1
... obtained at the outputs of each network are The neural networks are architectures that use several processed by using analysis ... Effect of Noise in Printed Character Recognition System Using Neural Network Sandel GHEORGHITA1, Radu MUNTEANU1, Adrian GRAUR2 1 ... been designed, marked with RNA1 and RNA2. The network's architecture contains an Digital Object Identifier 10.4316/AECE.2013.01011 ...
Terms matched: 3 - Score: 228 - 689k
Year: 2011, Volume: 11, Number: 1
... Delay-bound Admission Control for Real-time Traffic in Fourth Generation IMT-Advanced Networks based on 802.16m Neeraj POUDYAL1, Ha Cheol LEE2 ... requirements. Our paper presents a novel IMT – advanced network by considering the effects of various measurement-based admission control ... wireless networks has been quite limited. such as all-IP networking, seamless handovers, location- Unlike processors which ...
Terms matched: 3 - Score: 215 - 781k
Year: 2013, Volume: 13, Number: 1
... presented for the first time by present, the convolutional networks are the best techniques for Fukushima [1] ... Segmentation of Bone Structure in X-ray Images using Convolutional Neural Network Cosmin CERNAZANU-GLAVAN, Stefan HOLBAN Politehnica University of Timisoara ... report, University of Toronto, Aug. 2010. Network-based Processing, pp. 317-324, 2010. [ ...
Terms matched: 3 - Score: 211 - 1,239k
Year: 2022, Volume: 22, Number: 1
... A Hybrid Deep Learning Approach for Intrusion Detection in IoT Networks Murat EMEÇ, Mehmet Hilal Ã-ZCANHAN Department of Computer ... . With increasing mission- every IoT device on the network. Therefore, IoT devices are critical IoT data ... collecting traffic data on the Amazon AWS LAN focused on computer-network traffic anomaly detection network by the Canadian Cyber Security ...
Terms matched: 3 - Score: 206 - 1,415k
Year: 2024, Volume: 24, Number: 2
... have gradually shifted from With the breakthrough of convolutional neural networks traditional manual feature design [1] to feature ... takes advantage of the complementarity between Transformer and graph attention network to improve phase discriminability. For workflow detection, ... 18] graph attention network to improve phase designed two sub-networks to aggregate local and global discriminability; contextual information ...
Terms matched: 3 - Score: 197 - 2,191k