Search Results - probable estimation ((sensor algorithm) OR (((bees algorithm) OR (based algorithm))))
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1
Proactive Traffic-Adaptive Tuning of Contention Window for Wireless Sensor Network Medium-Access Control Protocol
Published 2009“…However the Back-Off scheme of Sensor MAC (S-MAC) is based on a fixed Contention Window (CW) size. …”
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2
Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment
Published 2016“…In general, the main limitations of existing VO systems are related to computational cost and light and imaging conditions such as sunlight, shadows, image blur, and image scale variations.Fluctuations in camera height from the ground when driving on an uneven terrain can lead to variations in image scale and, in turn, affect the accuracy of vehicle position estimation. Therefore, a new technique and algorithm were developed to resolve the image scale uncertainty. …”
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3
Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…To enhance the selection of most highly ranking features, irrelevant features are ‘pruned’ based on determined boundary threshold. In order to estimate the quality of ‘pruned’ features, self-adaptive DE algorithm is proposed. …”
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4
Flash floods prediction using real time data: an implementation of ANN-PSO with less false alarm
Published 2019“…The results include flood probabilities and prediction analysis using proposed algorithm.…”
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Proceeding Paper -
5
A monocular view-invariant fall detection system for the elderly in assisted home environments
Published 2011“…Each pose model employs an expectation-maximization algorithm to estimate the probability that the given frame contains the corresponding pose. …”
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Proceeding Paper -
6
Estimation of Transformers Health Index Based on Condition Parameter Factor and Hidden Markov Model
Published 2023Conference Paper -
7
UAV-based PM₂.₅ monitoring system for small scale urban areas
Published 2018“…Observations based on UAV-based PM2.5 monitoring sensors were applied around 1.6 km² area for collecting data at low altitude. …”
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8
Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…The rank-based methods, estimating algorithms, and resampling techniques that are developed do not involve the difficulties of the existing estimating procedures. …”
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9
Tree-based contrast subspace mining method
Published 2020“…The research works involve first preparing the real world numerical and categorical data sets. Then, the tree-based method, the genetic algorithm based parameter values identification of tree-based method, and followed by the genetic algorithm based tree-based method, for numerical data sets are developed and evaluated. …”
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10
Estimation of transformers health index based on condition parameter factor and hidden Markov model
Published 2018“…Subsequently, the future states probability distribution was computed based on the HMM prediction model and viterbi algorithm was applied to find the best optimal path sequence of HI for the respective observable condition. …”
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Conference or Workshop Item -
11
Item Tracer
Published 2015“…The prototype primary consists of a small size tag for attaching on any item and a reader for computing the estimated location of the tag. A positioning algorithm is developed to analyse the behaviour of received signal strength and calculate the probability of the target location. …”
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Final Year Project -
12
Revolutionizing Perimeter Intrusion Detection: A Machine Learning-Driven Approach with Curated Dataset Generation for Enhanced Security
Published 2023“…To solve the above problem, we designed a prototype for PIDS using a DHT22 temperature and humidity sensor, vibration sensor SW- 420 Module Pinout, Mini PIR motion sensor, and Arduino UNO. …”
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Article -
13
Performance of MIMO space-time coded system and training based channel estimation for MIMO-OFDM system
Published 2006“…Firstly it has investigated the performance of MIMO-STBC system and surveyed the effect of imperfect channel estimation on performance of MIMO-OFDM system. Secondly, it has focused on training based channel estimation algorithm for MIMO-OFDM system. …”
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14
Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…Applications and improvements to the HKA algorithm suggest that optimization algorithm based on estimation principle has a huge potential in solving a wide variety of optimization problems. …”
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15
Iterative data detection and channel estimation for single-parity check-product coded MIMO wireless communications system
Published 2005“…In iterative data-detection and channel-estimation algorithms, the channel estimator and the data detector recursively exchange the information order to improve the system performance. …”
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Conference or Workshop Item -
16
Performance of iterative data detection and channel estimation for single-parity check-product coded multiple antenna wireless communications
Published 2005“…In iterative data-detection and channel-estimation algorithms, the channel estimator and the data detector recursively exchange the information order to improve the system performance. …”
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Conference or Workshop Item -
17
Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation
Published 2009“…Bayesian classification and decision making are based on probability theory and choosing the most probable or the lowest risk. …”
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18
Bayesian Network of Traffic Accidents in Malaysia
Published 2019“…By using Hill Climb (HC) and Tabu algorithms, the structure of the data was learnt and their relationship is estimated through the conditional probability based on the Bayes theorem. …”
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Article -
19
Identification of hammerstain model using stochastic perturbation simultaneous approximation
Published 2016“…A numerical example is given to illustrate that the SPSA based algorithms can give accurate parameter estimate of the Hammerstein models with high probability through detailed simulation.…”
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Undergraduates Project Papers -
20
SOFT SWITCHING SYSTEM BASED ON WEIGHTED PROBABILITIES FOR STOCHASTIC HYBRID MULTIPLE MODEL-BASED CONTROL SYSTEMS
Published 2010“…Stochastic hybrid model-based control refers to controlling uncertain systems, which are modeled as a multiple-model set with a varying variable structure and the use of interacting multiple model (IMM) estimator and generalized predictive control (GPC) algorithm as described in [1]. …”
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