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Recent Submissions
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Expectation–maximisation based distributed estimation in sensor networks
(Institution of Engineering and Technology, 2019-03-01)
Part of book or chapter of book
Restricted access - publisher's policyEstimating the unknown parameters of a statistical model based on the observations collected by a sensor network is an important problem with application in multiple fields. In this setting, distributed processing, by which ... -
RF-MEMS switches designed for high-performance uniplanar microwave and mm-wave circuits
(IntechOpen, 2018-07-18)
Part of book or chapter of book
Open AccessRadio frequency microelectromechanical system (RF-MEMS) switches have demonstrated superior electrical performance (lower loss and higher isolation) compared to semiconductor-based devices to implement reconigurable microwave ... -
Passive optical networks: introduction
(John Wiley & sons, 2018-08-15)
Part of book or chapter of book
Open AccessPassive optical networks (PONs) are telecommunication networks that provide services to users by no active elements. Only passive elements are used in the network to transmit the information and signals between users as ... -
Cascaded V-Net using ROI masks for brain tumor segmentation
(Springer, 2018)
Part of book or chapter of book
Restricted access - publisher's policyThis book constitutes revised selected papers from the Third International MICCAI Brainlesion Workshop, BrainLes 2017, as well as the International Multimodal Brain Tumor Segmentation, BraTS, and White Matter Hyperintensities, ... -
SDN-enabled SatCom networks for satellite-terrestrial integration
(The Institution of Engineering and Technology, 2018)
Part of book or chapter of book
Restricted access - publisher's policySatellite Communications in the 5G Era explores promising scenarios for 5G Satellite Communications (SatCom), novel paradigms for satellite-terrestrial integration and emerging technologies for the next generation of ... -
High capacity optical networks based on space division multiplexing
(John Wiley & sons, 2017-09-01)
Part of book or chapter of book
Restricted access - publisher's policyThis book discusses Elastic Optical Networks (EONs) from an operational perspective. It presents algorithms that are suitable for real-time operation and includes experimental results to further demonstrate the feasibility ... -
Telecomunicacions
(Edicions Proa, 2018-01)
Part of book or chapter of book
Restricted access - publisher's policy -
Position estimation for IR-UWB systems: DPE, Multi-TOA approach, and their compressive sensing-based modeling
(2018-01-01)
Part of book or chapter of book
Restricted access - publisher's policyThe limitations of satellites create a large gap in assistive directional technologies, especially indoors. The methods and advances in alternate directional technologies is allowing for new systems to fill the gaps caused ... -
Hierarchical object detection with deep reinforcement learning
(IOS Press, 2017-11-23)
Part of book or chapter of book
Restricted access - publisher's policyDeep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, ... -
Object retrieval with deep convolutional features
(IOS Press, 2017-11-23)
Part of book or chapter of book
Restricted access - publisher's policyDeep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, ... -
The appraisal of machine learning techniques for tourism demand forecasting
(Nova Science Publishers, Inc., 2017-11-03)
Part of book or chapter of book
Restricted access - publisher's policyMachine learning (ML) methods are being increasingly used with forecasting purposes. This study assesses the predictive performance of several ML models in a multiple-input multiple-output (MIMO) setting that allows ... -
3D convolutional neural networks for brain tumor segmentation: a comparison of multi-resolution architectures
(Springer, 2017-04-24)
Part of book or chapter of book
Open Access
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