Search Results - adaptive affect different ((extraction algorithm) OR (selection algorithm))
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Investigation of relaxation factor in landweber iterative algorithm for electrical capacitance tomography
Published 2020“…It is crucial to select a suitable relaxation factor in iterative image reconstruction algorithms (e.g. …”
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Published 2020“…Two main improvements were included into the original SSA algorithm to alleviate its drawbacks and adapt it for feature selection problems. …”
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Acoustic echo cancellation using adaptive filter for Quranic accent signals
Published 2024“…AP indicates 93.9% for all of the classification algorithm in used, while for LMS and RLS the results are differed varies on different pattern classification algorithm stated whereby with LMS and PPCA classification, 96.9 % for accuracy and 84.8% accuracy for LMS and KNN. …”
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Development Of Stereo-Matching Algorithm Based On Adaptive Weighted Prediction
Published 2019“…The Sum of Absolute Different (SAD) is the matching cost’s method and some threshold adjustment were used in this thesis where the SAD’s window size of 11 and threshold value of 0.8 was selected based on the experimental results. …”
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Regenerative braking strategy for electric vehicles using improved adaptive genetic algorithm
Published 2017“…There are different algorithms used as a regenerative braking strategy. …”
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An adaptive face recognition under constrained environment for smartphone database
Published 2018“…In fact, detecting the correct face boundary is insufficient to extract the correct features of the face region, particularly in the presence of occlusion, which affects the feature extraction operation and decreases the accuracy of face recognition. …”
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Short Text Classification Using An Enhanced Term Weighting Scheme And Filter-Wrapper Feature Selection
Published 2018“…In the first stage, we propose an adaptive filter-based feature selection method that is derived from the odd ratio method, used in reducing the dimensionality of feature space. …”
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Adaptive template matching of photoplethysmogram pulses to detect motion artefact
Published 2018“…Objective: The photoplethysmography (PPG) signal, commonly used in the healthcare settings, is easily affected by movement artefact leading to errors in the extracted heart rate and SpO 2 estimates. …”
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Affect classification using genetic-optimized ensembles of fuzzy ARTMAPs
Published 2015“…Training neural networks in distinguishing different emotions from physiological signals frequently involves fuzzy definitions of each affective state. …”
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A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments
Published 2013“…There are a variety of algorithms in this class with different objectives, advantages and drawbacks. …”
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Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…Second, an Optimized time sliding window packet marker (OTSWTCM) algorithm. This algorithm depends on the adaptability of the concept in the ITSWTCM, I2TSWTCM and M2I2TSWTCM algorithms for affecting the fairness and multiple protocols. …”
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Face recognition for varying illumination and different optical zoom using a combination of binary and geometric features
Published 2020“…The proposed method is evaluated on two different smartphone databases, namely as Smartphone Face Video (SFV) and MOBIO. …”
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Development of a phantom and metal artifact correction (MAC) algorithm for post-operative spine computed tomography (CT) imaging / Noor Diyana Osman
Published 2014“…The missing projection data due to metal region is detected and extracted using an improved technique of dual-step adaptive thresholding. …”
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Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed
Published 2012“…Three algorithms of Linear (PURELIN), hyperbolic tangent sigmoid (TANSIG) and logistic sigmoid (LOGSIG) activation functions were selected for output layer. …”
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An efficient CSMA-CA algorithm for IEEE 802.15.4 wireless sensor networks
Published 2012“…In this paper, we proposed an efficient and adaptive backoff algorithm (EBA) to minimize the collisions among the contending nodes. …”
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A speech enhancement framework using discrete Krawtchouk-Tchebichef Transform
Published 2018“…DKTT exhibits superior compaction and localization properties that affect noise extraction process. Second, a noise classification method is adopted to identify the types of additive noise. …”
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Data redundancy reduction scheme for data aggregation in wireless sensor network
Published 2020“…Therefore, several studies have employed some schemes to reduce data redundancy in the clustered network before data aggregation to mitigate the problems that affects the data aggregation efficiency. This research proposes Data Redundancy Reduction Scheme (DRRS) which includes three algorithms namely, Metadata Classification (MC), Selection Active Nodes (SAN) and Anomaly Detection (AD) algorithms that works before data aggregation, when multiple composite events simultaneously occur in the different locations within the cluster. …”
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Detection of hemorrhage and exudates in retinal fundus image of diabetic patients
Published 2016“…The third and the last phase is the Exudates Extraction phase. In this phase, Edge Detection, Gradient Magnitude and Region Of Interest techniques are combined to form a complete working algorithm. …”
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Undergraduates Project Papers
