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Reviewing the Effects of Spatial Features on Price Prediction for Real Estate Market: Istanbul Case
(Institute of Electrical and Electronics Engineers Inc., 2022)
In the real estate market, spatial features play a crucial role in determining property appraisals and prices. When spatial features are considered, classification techniques have been rarely studied compared to regression, ...
İterative receiver for DS-CDMA systems in the presence of time-varying channels
(2008)
In this paper, we present an efficient iterative receiver structure of tractable complexity for joint multiuser detection and multichannel estimation (JDE) ofdirect-sequence code-division multiple-access systems operating ...
PREDICTING PATH LOSS DISTRIBUTIONS OF A WIRELESS COMMUNICATION SYSTEM FOR MULTIPLE BASE STATION ALTITUDES FROM SATELLITE IMAGES
(IEEE Computer Society, 2022)
It is expected that unmanned aerial vehicles (UAVs) will play a vital role in future communication systems. Optimum positioning of UAVs, serving as base stations, can be done through extensive field measurements or ray ...
Graph optimized locality preserving projection via heuristic optimization algorithms
(Institute of Electrical and Electronics Engineers Inc., 2019)
Dimensionality reduction has been an active research topic in hyperspectral image analysis due to complexity and nonlinearity of the hundreds of the spectral bands. Locality preserving projection (LPP) is a linear extension ...
Orthogonal frequency division multiplexing with index modulation
(2012)
In this paper, a novel orthogonal frequency division multiplexing (OFDM) scheme, which is called OFDM with index modulation (OFDM-IM), is proposed for frequency-selective fading channels. In this scheme, inspiring from the ...
Indoor positioning using federated Kalman Filter
(Institute of Electrical and Electronics Engineers Inc., 2018)
In this paper, one of the multi sensor fusion techniques, namely Federated Kalman Filter (FKF) performance is studied for Indoor Positioning problem. Kalman Filters having centralized and decentralized structures are widely ...
Block Elimination Distance
(Springer Science and Business Media Deutschland GmbH, 2021)
We introduce the parameter of block elimination distance as a measure of how close a graph is to some particular graph class. Formally, given a graph class G, the class B(G) contains all graphs whose blocks belong to G and ...
Flow structure in a mixing layer developing over flat bed at high reynolds numbers
(CRC Press/Balkema, 2016)
Results of a high resolution Detached Eddy Simulation (DES) are used to characterize the evolution of a shallow mixing layer developing between two parallel streams in a long open channel with a flat bed at a high Reynolds ...
Simple but effective GRU variants
(Institute of Electrical and Electronics Engineers Inc., 2021)
Recurrent Neural Network (RNN) is a widely used deep learning architecture applied to sequence learning problems. However, it is recognized that RNNs suffer from exploding and vanishing gradient problems that prohibit the ...
Classification of ADHD using ensemble algorithms with deep learning and hand crafted features
(Institute of Electrical and Electronics Engineers Inc., 2019)
Attention Deficit Hyperactivity (ADHD) is a common neurodevelopmental disorder that typically appears in early childhood. Methods developed for diagnosing gives different results at different times. This is a major obstacle ...