Search Results - adaptive affect different ((extraction algorithm) OR (detection algorithm))
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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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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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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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Face recognition for varying illumination and different optical zoom using a combination of binary and geometric features
Published 2020“…The proposed method consists of five main stages, starting with eye area detection using the developed Viola-Jones algorithm. …”
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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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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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A resource-aware content adaptation approach for e-learning environment / Mohd Faisal Ibrahim
Published 2017“…First, a content negotiation and adaptation architecture was proposed to facilitate the process of identifying and detecting client device. …”
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Development Of Stereo-Matching Algorithm Based On Adaptive Weighted Prediction
Published 2019“…Other than that, wrong information of each pixel of disparity map which can affect the accuracy of SVDM. Therefore, to overcome the causes of effected accuracy, new Stereo Matching Algorithm (SMA) based on Adaptive Weighted Bilateral Filter (AWBF) was introduced together with characterize the SMA based on quantitative and qualitative measurements and produced SMA performance were evaluate using standard taxonomy of SM. …”
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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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Q-Learning-based detection of IPv6 intrusions: a behavioral and performance study
Published 2025“…The findings indicate that the proposed self-learning model based on Q-Learning can effectively identify network intrusions without requiring manual retraining, thereby offering a scalable and adaptive solution for real-time intrusion detection.…”
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Proceeding Paper -
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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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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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A hybrid rate control mechanism for forwarding and congestion control in named data network
Published 2020“…HRCM consists of three schemes namely Shaping Deficit Weight Round Robin (SDWRR), Queue-delay Parallel Multipath (QPM), and Explicit Control Agile-based conservative window adaptation (EC-Agile). The SDWRR scheme is scheduling different flows in router interfaces by fairly detecting and notifying the link congestion. …”
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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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WiFi-based human activity recognition through wall using deep learning
Published 2023“…The signals captured by the multi-antenna are delivered into parallel channels with different spatial signatures. An RPi 4 B is attached to an ALFA AWUS 1900 adapter utilizing Nexmon firmware monitors and extracts CSI data with flexible C-based firmware for Broadcom/ Cypress WiFi chips. …”
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