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Topology design to reduce energy consumption of distributed graph filtering in WSN
(Chapter; Peer reviewed, 2017)The large number of nodes forming current sensor networks has made essential to introduce distributed mechanisms in many traditional applications. In the emerging field of graph signal processing, the distributed mechanism ... -
Torus Topology based Fault-Tolerant Network-on-Chip Design with Flexible Spare Core Placement
(Chapter; Peer reviewed, 2018) -
Towards a cyber-physical era: soft computing framework based multi-sensor array for water quality monitoring
(Journal article; Peer reviewed, 2018) -
Towards an integrated approach to emergency management: interdisciplinary challenges for research and practice
(Journal article; Peer reviewed, 2015)This article presents an interdisciplinary vision for large-scale integrated emergency management that has been inspired by the transition from platform centric to inte-grated operations in the oil and gas fields, which ... -
Towards Improved Healthcare Performance: Examining Technological Possibilities and Patient Satisfaction with Wireless Body Area Networks
(Journal article; Peer reviewed, 2010)This paper investigates the benefits of using less intrusive wireless technologies for heart monitoring. By replacing well established heart monitoring devices (i.e. Holter) with wireless ECG based Body Area Networks (BAN), ... -
Towards intelligent and trustworthy task assignments for 5G-enabled industrial communication systems
(Peer reviewed; Journal article, 2023)With the unprecedented prevalence of IIoT and 5G technology, various applications supported by industrial communication systems have generated exponentially increased processing tasks, which makes task assignment inefficient ... -
Towards Responsible AI for Financial Transactions
(Chapter; Peer reviewed, 2020)The application of AI in finance is increasingly dependent on the principles of responsible AI. These principles-explainability, fairness, privacy, accountability, transparency and soundness form the basis for trust in ... -
Towards safe reinforcement-learning in industrial grid-warehousing
(Peer reviewed; Journal article, 2020) -
Towards the definitive evaluation framework for cross-platform app development approaches
(Journal article; Peer reviewed, 2019) -
Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles
(Communications in Computer and Information Science;1600, Chapter; Peer reviewed, 2022)Providing full autonomy to Unmanned Surface Vehicles (USV) is a challenging goal to achieve. Autonomous docking is a subtask that is particularly difficult. The vessel has to distinguish between obstacles and the dock, and ... -
Tracking the preferences of users using weak estimators
(Lecture Notes in Computer Science;7106, Chapter; Peer reviewed, 2011)Since a social network, by definition, is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications which range from service recommender systems to ... -
A Trainable Approach to Zero-delay Smoothing Spline Interpolation
(Peer reviewed; Journal article, 2023)The task of reconstructing smooth signals from streamed data in the form of signal samples arises in various applications. This work addresses such a task subject to a zerodelay response; that is, the smooth signal must ... -
A Trajectory-Driven 3D Non-Stationary mm-Wave MIMO Channel Model for a Single Moving Point Scatterer
(Peer reviewed; Journal article, 2021)This paper proposes a new non-stationary three-dimensional (3D) channel model for a physical millimeter wave (mm-Wave) multiple-input multiple-output (MIMO) channel. This MIMO channel model is driven by the trajectory of ... -
Transfer Learning Based Joint Resource Allocation for Underlay D2D Communications
(Chapter; Peer reviewed, 2022)In this paper, we investigate the application of transfer learning to train a Deep Neural Network (DNN) model for joint channel and power allocation in underlay device-todevice (D2D) communication. Based on the traditional ... -
Transient Performance Modelling of 5G Slicing with Mixed Numerologies for Smart Grid Traffic
(Chapter, 2021)Network slicing enabled by fifth generation (5G) systems has the potential to satisfy diversified service requirements from different vertical industries. As a typical vertical industry, smart distribution grid poses new ... -
Trust-aware RBAC
(Lecture Notes in Computer Science;7531, Chapter; Peer reviewed, 2012)In this paper we propose a trust-aware enhancement of RBAC (TA-RBAC) that takes trustworthiness of users into consideration explicitly before granting access. We assume that each role in the framework is associated with ... -
Two new sum-of-sinusoids-based methods for the efficient generation of multiple uncorrelated rayleigh fading waveforms
(Journal article; Peer reviewed, 2009)This paper deals with the design of a set of multiple uncorrelated Rayleigh fading waveforms. The Rayleigh fading waveforms are mutually uncorrelated, but each waveform is correlated in time. The waveforms are generated ... -
Two teletraffic-based schemes for energy saving in cellular networks with micro-cells
(Journal article; Peer reviewed, 2012)The energy consumption of Base Stations (BSs) is known to constitute a major part of the power consumption in a cellular network. In this paper, we propose a novel approach which may switch a BS off under light traffic ... -
Ultimate Order Statistics-Based Prototype Reduction Schemes
(Lecture Notes in Computer Science;8272, Chapter; Peer reviewed, 2013)The objective of Prototype Reduction Schemes (PRSs) and Border Identification (BI) algorithms is to reduce the number of training vectors, while simultaneously attempting to guarantee that the classifier built on the reduced ... -
Ultra-Low Power Wake-up Radio for 5G IoT
(Journal article; Peer reviewed, 2019)5G Internet of Things (5G IoT), which is currently under development by 3GPP, paves the way for connecting diverse categories of devices to the IoT via cellular networks. For battery-powered low-cost IoT devices, wake-up ...