Πλοήγηση ανά Θέμα "Mean square error"
Αποτελέσματα 1-17 από 17
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A comparative analysis of Statistical and Computational Intelligence methodologies for the prediction of traffic-induced fine particulate matter and NO2
(2021)With the urbanization increase, urban mobility and transportation induce higher traffic volumes causing environmental, economic and social impacts. This is due to continuous usage of fossil fuel energy resources generating ... -
Comparison of ARIMA and Transfer Function (TF) models in Water Temperature simulation in dam - Lake Thesaurus, eastern Macedonia, Greece
(2010)In the present work, two modelling and forecasting techniques were evaluated on the basis of: a) their efficiency to forecast and b) their ability to utilize auxiliary environmental information: ARIMA and Transfer Function ... -
Cooperative Speed Estimation of an RF Jammer in Wireless Vehicular Networks
(2020)In this paper, we are concerned with the problem of estimating the speed of an RF jammer that moves towards a group/platoon of moving wireless communicating nodes. In our system model, the group of nodes receives an ... -
Data collection from resource-limited wireless sensors for cloud-based applications
(2015)We consider a wireless sensor network (WSN) where each sensor node samples a random signal, places the digitized data in a buffer, and transmits the data to an access point (AP) through a wireless packet erasure communication ... -
Distributed Estimation in Wireless Sensor Networks with an Interference Canceling Fusion Center
(2016)In this paper, we consider Distributed Estimation (DES) in a Wireless Sensor Network (WSN) and assume that the number of sensors in the WSN is larger than the available number of transmission slots. With classic DES, the ... -
Energy Use Forecasting with the Use of a Nested Structure Based on Fuzzy Cognitive Maps and Artificial Neural Networks
(2022)The aim of this paper is to present a novel approach to energy use forecasting. We propose a nested fuzzy cognitive map in which each concept at a higher level can be decomposed into another fuzzy cognitive map, multilayer ... -
Estimation of ground-level O3 using soft computing techniques: case study of Amritsar, Punjab State, India
(2022)Over the years, many organizations across the globe have conducted various studies pertaining to air pollution and its ill effects. The results of these studies substantially conclude that a plethora of people succumbs to ... -
Estimation of models for cumulative infiltration of soil using machine learning methods
(2021)Knowledge of cumulative infiltration of soil is necessary for irrigation, surface flow, groundwater recharge and many other hydrological processes. In the present study, the Support Vector Machine (SVM), artificial neural ... -
Fuzzy Guided Autonomous Nursing Robot through Wireless Beacon Network
(2022)Robotics is one of the most emerging technologies today, and are used in a variety of applications, ranging from complex rocket technology to monitoring of crops in agriculture. Robots can be exceptionally useful in a smart ... -
Hermite Kernels for slice interpolation in medical images
(2012)Univariate Hermite interpolation of the total degree (HTD) is an algebraically demanding interpolation method that utilizes information of the values of the signal to be interpolated at distinct support positions, as well ... -
Lossy transmission of correlated sources in a multiple access quasi-static fading channel
(2016)In this paper, we investigate low-complexity, receiver-driven strategies for the transmission of two correlated sources in a multiple access quasi-static fading channel. We consider two different transmission modes at the ... -
Modeling the lossy transmission of correlated sources in multiple access fading channels
(2017)In this paper, we develop accurate distortion models for the lossy transmission of two correlated sources in a multiple access Rayleigh fading channel. We focus on a class of real-life communication systems, where the ... -
A new co-learning method in spatial complex fuzzy inference systems for change detection from satellite images
(2022)The detection of spatial and temporal changes (or change detection) in remote sensing images is essential in any decision support system about natural phenomena such as extreme weather conditions, climate change, and floods. ... -
Parametric optimization of material extrusion 3D printing process: an assessment of Box-Behnken vs. full-factorial experimental approach
(2022)This work investigates the efficiency of the Box-Behnken design (BBD) in contrast with the full-factorial design (FFD) in ultimate tensile strength (UTS) of PA12 material extrusion 3D printing (ME-3DP) specimens. Three ... -
A robust methodology for optimizing the topology and the learning parameters of an ANN for accurate predictions of laser-cut edges surface roughness
(2022)The Feed-Forward and Backpropagation Artificial Neural Networks (FFBP-ANN) are generally employed for cut surfaces quality characteristics predictions. However, the determination of the neurons on the hidden layer and the ... -
Scouting of Whiteflies in Tomato Greenhouse Environment Using Deep Learning
(2022)This study shows the possibilities of how to replace tedious human labor—scouting of yellow sticky traps (YST) for whiteflies—using artificial cognitive vision, specifically the deep convolutional network (CNN), as a part ... -
Sub-Sampled Time Domain Sparse Information in Wired OFDM and STBC-OFDM Systems
(2022)A sub-sampling method developed for wired or wireless Orthogonal Frequency Division Multiplexing (OFDM) systems is presented. The proposed technique can be activated during the exchange of sparse data. The sub-sampling ...