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The Impact of Fixed and Moving Scatterers on the Statistics of MIMO Vehicle-to-Vehicle Channels
(Journal article; Peer reviewed, 2009)In this paper, we study the impact of fixed and moving clusters of scatterers on the statistics of multiple- input multiple-output (MIMO) vehicle-to-vehicle (V2V) channels. Double-bounce scattering is assumed for fixed ... -
The impact of local communities on the school development - a case study examining expectations and inclusion on a systemic level
(Peer reviewed; Journal article, 2019) -
Impact of moisture content, closing speed, and pressurizing speed on the performance of medium density fiberboard (MDF)
(Peer reviewed; Journal article, 2023)Thepurpose of this research is to investigate the impact of moisture content, closing speed, and pressurizing speed of hot press on the density, uniformity of density distribution, and properties of Medium Density Fiberboard ... -
Implicit Wiener Filtering for Speech Enhancement In Non-Stationary Noise
(Chapter, 2021) -
Imposing tree-based topologies onto self organizing maps
(Journal article; Peer reviewed, 2011)The beauty of the Kohonen map is that it has the property of organizing the codebook vectors, which represent the data points, both with respect to the underlying distribution and topologically. This topology is traditionally ... -
Improved Barnacles Movement Optimizer (IBMO) Algorithm for Engineering Design Problems
(Lecture Notes in Computer Science; no. 14125, Chapter; Peer reviewed, 2023)A better understanding of natural behavior modeling in mathematical systems has enabled a new class of stochastic optimization algorithms that can estimate optimal solutions using reasonable computational resources for ... -
Improving Energy Efficiency and Response Time of an Offshore Winch Drive with Digital Displacement Motors
(Peer reviewed; Journal article, 2023)Offshore winch drives require high energy efficiency and control precision, making digital displacement motors an attractive solution due to their high efficiency and potential controllability. However, the response time ... -
Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise
(Peer reviewed; Journal article, 2022)Q-learning is one of the most well-known Reinforcement Learning algorithms. There have been tremendous efforts to develop this algorithm using neural networks. Bootstrapped Deep Q-Learning Network is amongst them. It ... -
Improving the performance metric of wireless sensor networks with clustering Markov chain model and multilevel fusion
(Journal article; Peer reviewed, 2013)The paper proposes a performance metric evaluation for a distributed detection wireless sensor network with respect to IEEE 802.15.4 standard. A distributed detection scheme is considered with presence of the fusion node ... -
In the Direction of Service Guarantees for Virtualized Network Functions
(Peer reviewed; Journal article, 2022)The trend of consolidating network functions from specialized hardware to software running on virtualization servers brings significant advantages for reducing costs and simplifying service deployment. However, virtualization ... -
Increasing sample efficiency in deep reinforcement learning using generative environment modelling
(Journal article; Peer reviewed, 2020) -
Indoor Space Classification Using Cascaded LSTM
(Journal article; Peer reviewed, 2020)Indoor space classification is an important part of localization that helps in precise location extraction, which has been extensively utilized in industrial and domestic domain. There are various approaches that employ ... -
Inference of Spatio-Temporal Functions Over Graphs via Multikernel Kriged Kalman Filtering
(Journal article; Peer reviewed, 2018) -
The Influence of Human Walking Activities on the Doppler Characteristics of Non-stationary Indoor Channel Models
(Chapter; Peer reviewed, 2019)This paper analyzes the time-variant (TV) Doppler power spectral density of a 3D non-stationary fixed-to-fixed indoor channel simulator after feeding it with realistic trajectories of a walking person. The trajectories of ... -
The influence of LOS components on the statistical properties of the capacity of amplify-and-forward channels
(Journal article; Peer reviewed, 2009)Amplify-and-forward channels in cooperative networks provide a promising improvement in the network coverage and system throughput. Under line-of-sight (LOS) propagation conditions in such cooperative networks, the overall ... -
The influence of severity of fading on the statistical properties of the capacity of Nakagami-m channels with MRC and EGC
(Academic article, 2010)In this article, we have studied the statistical properties of the capacity of Nakagami-m channels when spatial diversity combining, such as maximal ratio combining (MRC) and equal gain combining (EGC), is employed at the ... -
The Influence of Spatial Correlation and Severity of Fading on the Statistical Properties of the Capacity of OSTBC Nakagami-m MIMO Channels
(Vehicular Technology Conference, Journal article; Peer reviewed, 2009)This paper deals with the analysis of statistical properties of the capacity of spatially uncorrelated orthogonal space-time block coded (OSTBC) Nakagami-m multiple-input multiple-output (MIMO) channels. We have derived ... -
Information diffusion model with homogeneous continuous time Markov chain on Indonesian Twitter users
(Peer reviewed; Journal article, 2022)In this paper, a homogeneous continuous time Markov chain (CTMC) is used to model information diffusion or dissemination, also to determine influencers on Twitter dynamically. The tweeting process can be modeled with a ...