A Next-Generation Codebook Evolution Strategy for Massive Arrays Using Deep Neurals Networks by Minwoo Choi, Wonjin Sung

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3GPP-Compliant Datasets for xG Location-Aware Networks by Andrea Conti, Gianluca Torsoli, Carlos A. Gomez-Vega, Alessandro Vaccari, Gianluca Mazzini, Moe Z. Win

“…Location awareness is vital in next generation (xG) wireless networks to enable different use cases, including location-based services (LBSs) and efficient network management. …”
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A QoS Model for a RFID Enabled Application with Next-Generation Sensors for Manufacturing Systems by Anna Kang, Jong Hyuk Park, Leonard Barolli, Hwa-Young Jeong

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Constructing a new index for measuring industrial estate readiness using the analytic network process (ANP) approach by Siti Afiani Musyarofah, Alva Edy Tontowi, Nur Aini Masruroh, Budhi Sholeh Wibowo

“…First, in-depth literature studies and expert interviews were conducted to determine the factors composing IE readiness. Next, the structure of the IE readiness index was designed by selecting the subindices and indicators. …”
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Network Digital Twin Toward Networking, Telecommunications, and Traffic Engineering: A Survey by Reza Poorzare, Dimitris N. Kanellopoulos, Varun Kumar Sharma, Poulami Dalapati, Oliver P. Waldhorst

“…Next, we examine the role of NDT in various networking and telecommunication domains. …”
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Discovery of phloridzin as a new antagonist for Di(2-ethylhexyl) phthalate-induced male reproductive toxicity based on the adverse outcome pathway network and drug-target gene set... by Huan Gao, Xue Zhang, Ziqi Liu, Xiaoge Yang, Yajie Li, Mengxing Cui, Han Wang, Xiaoyu Chen, Weiying Zhang, Zhihan Liu, Yongjiang Yu, Liping Chen, Daochuan Li, Yongmei Xiao, Wen Chen, Qing Wang

“…In this study, 552 genes related to MRT induced by DEHP/MEHP were screened out from the Comparative Toxicogenomics Database (CTD) and DisGeNET database. Next, we developed a global adverse outcome pathway (AOP) network based on the existed AOP-wiki. …”
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Analysis of Hybrid Buffering and Retransmission in OBS Networks by D. Veera Vanitha, M. Sabrigiriraj

“…Burst contention is a major problem in the Optical Burst Switching (OBS) networks. Due to inadequate contention resolution techniques, the burst loss is prominent in OBS. …”
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New Benchmarking Methodology and Programming Model for Big Data Processing by Anton Kos, Sašo Tomažič, Jakob Salom, Nemanja Trifunovic, Mateo Valero, Veljko Milutinovic

“…Big data processing is becoming a reality in numerous real-world applications. With the emergence of new data intensive technologies and increasing amounts of data, new computing concepts are needed. …”
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A Framework for an IP-Based DVB Transmission Network by Nimbe L. Ewald-Arostegui, Gorry Fairhurst, Ana Yun-Garcia

“…One of the most important challenges for next generation all-IP networks is the convergence and interaction of wireless and wired networks in a smooth and efficient manner. …”
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Scientific support to plant breeding and seed production in Siberia in the XXI century by N. P. Goncharov

“…The article explains the need for fundamental reform in this economic sector: the recognition of plant breeding as being a fundamental science; a fair increase in its funding; the development of a breeding strategy, nationally and regionally; the further expansion of the network of the Breeding Centers; the re-establishment and improvement of the universities’ departments specialized in plant breeding and seed production; having more state-funded places in the universities for training plant breeders to be able to maintain and cement the country’s advanced position in plant breeding and to develop new globally competitive next-generation cultivars of main crops. …”
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Investigation of a New Handover Approach in LTE and WiMAX by Mohammad Nour Hindia, Ahmed Wasif Reza, Kamarul Ariffin Noordin

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Lane-Changing Trajectory Prediction Modeling Using Neural Networks by Hamidreza Hamedi, Rouzbeh Shad

“…Empirical LC data were obtained from the Next Generation Simulation (NGSIM) project for training and testing the neural network-based LC model. …”
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A genomic strategy for precision medicine in rare diseases: integrating customized algorithms into clinical practice by Cristina Méndez-Vidal, Nereida Bravo-Gil, Javier Pérez-Florido, Irene Marcos-Luque, Raquel M. Fernández, José Luis Fernández-Rueda, María González-del Pozo, Marta Martín-Sánchez, Elena Fernández-Suárez, Marcela Mena, Rosario Carmona, Joaquín Dopazo, Salud Borrego, Guillermo Antiñolo

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Energy- and Cognitive-Radio-Aware Routing in Cognitive Radio Sensor Networks by Christian H. W. Oey, Ivan Christian, Sangman Moh

“…Cognitive radio sensor networks (CRSNs) are the next generation wireless sensor networks (WSNs) that mitigate overcrowded unlicensed spectrum bands by opportunistically using temporally unoccupied unlicensed and licensed spectrum bands. …”
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Optimal sensing performance for cooperative and non-cooperative cognitive radio networks by Waqas Khalid, Heejung Yu

“…Next, the trade-off between cooperative gain and cooperation overhead is examined for the multiuser cognitive radio networks. …”
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Energy Efficient and Load Balanced Routing for Wireless Multihop Network Applications by Vahid Nazari Talooki, Jonathan Rodriguez, Hugo Marques

“…These features make them suitable for next-generation networks to support several applications such M2M applications for smart cities and public safety scenarios. …”
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Damping Based Traffic Allocation in Wireless Machine-to-Machine Communications Networks by Ruiguo Yu, Zhenxia Yuan, Mankun Zhao, Mei Yu, Xu Lu

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A Spatial-Temporal Self-Attention Network (STSAN) for Location Prediction by Shuang Wang, AnLiang Li, Shuai Xie, WenZhu Li, BoWei Wang, Shuai Yao, Muhammad Asif

“…However, how to use massive trajectory data and spatial-temporal context information effectively to mine the user’s mobility pattern and predict the users’ next location is still unresolved. In this paper, we propose a novel network named STSAN (spatial-temporal self-attention network), which can integrate spatial-temporal information with the self-attention for location prediction. …”
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Text to Realistic Image Generation with Attentional Concatenation Generative Adversarial Networks by Linyan Li, Yu Sun, Fuyuan Hu, Tao Zhou, Xuefeng Xi, Jinchang Ren

“…During training progress, we gradually add new layers and, at the same time, use the results and word vectors from the previous layer as inputs to the next layer to generate high-resolution images with photo-realistic details. …”
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SliceScore: A Network Function Sharing Aware and Slice-Oriented DDoS Filtering Approach by Omer Zekvan Yilmaz, Kubra Kalkan, Fatih Alagoz

“…Network slicing presents new opportunities for cost-effective implementations of next-generation communication networks that target diverse service requirements. …”
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