Search Results - (( developing function method algorithm ) OR ( based segmentation window algorithm ))

Modeling of Functional Electrical Stimulation (FES): Powered Knee Orthosis (PKO) assisted gait exercise in post-stroke rehabilitation / Adi Izhar Che Ani by Che Ani, Adi Izhar

“…Rehabilitation exercise has been deemed one of the most promising methods for hemiplegic regain function. Researchers have recently utilized various exercise techniques in conjunction with Functional Electrical Stimulation (FES). …”
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Enhanced local disparity map algorithm segment-side window-based cost aggregation and refinement by Kadmin, Ahmad Fauzan, Al-Asbahi, Monther Yousef Abdulwasea Mohammed, Hamzah, Rostam Affendi, A Aziz, Khairul Azha, Zainal, Nasharuddin, Jazlan, Nabil Jazli

“…This paper introduces a Segment-Side Window based (SSW) stereo matching algorithm that combines Truncated Absolute Difference (TAD), Gradient Magnitude (GM), and Census Transform (CT) to build a robust cost volume. …”
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Framework for stream clustering of trajectories based on temporal micro clustering technique by Abdulrazzaq, Musaab Riyadh

“…In the online phase, the stream clustering algorithm for trajectories based on the lifespan of the cluster is proposed (CC_TRS) to overcome the limitations of the time window technique. …”
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Jawi sub-word recognition system using window-based segmentation-free approach / Roslim Mohamad by Mohamad, Roslim

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Image enhancement and segmentation on simultaneous latent fingerprint detection by Rozita, Mohd Yusof

“…To verify the capability of the proposed segmentation algorithm, the segmentation results is evaluated in two aspects: a comparison with the ground truth foreground and matching performance based on segmented region. …”
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Blood vessel segmentation in color fundus images based on regional and Hessian features by Shah, S.A.A., Tang, T.B., Faye, I., Laude, A.

“…Purpose: To propose a new algorithm of blood vessel segmentation based on regional and Hessian features for image analysis in retinal abnormality diagnosis. …”
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CC_TRS: continuous clustering of trajectory stream data based on micro cluster life by Abdulrazzaq, Musaab Riyadh, Mustapha, Norwati, Sulaiman, Md. Nasir, Mohd Sharef, Nurfadhlina

“…In this article, an algorithm for Continuous Clustering of Trajectory Stream Data Based on Micro Cluster Life is proposed. …”
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Local Stereo Matching Algorithm Using Small-Color Census Spared Adaptive Support Weight by Nayan, M Yunus

“…To derive support weights, Manhattan distances are used for all pixels of the support window to the window’s center point. Property of adaptive support weight leads to improved segmentation results and consequently to improved disparity maps. …”
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Object tracing from synthetic fluid spray through instance segmentation by Md Refat Khan, Pathan

“…To address this, a method using two region-based R-CNN models named Mask R-CNN and BMask R-CNN and two transformer-based models named PatchDCT and FastInst has been developed to detect and segment individual droplets from synthetic liquid spray images. …”
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Direct least squares fitting of ellipses segmentation and prioritized rules classification for curve-shaped chart patterns by Lei, I. L., Teh, Phoey Lee *, Si, Yain-Whar

“…These methods are implemented based on the principles of sliding windows, turning points, and bottom-up piece wise linear approximation. …”
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Efficient management of Top-k queries over Uncertain Data Streams with dynamic Sliding Window Model by Raja Wahab, Raja Azhan Syah

“…Current research on tackling uncertainty revolves around creating specifically tailored algorithms that can operate in the presence of value uncertainty using both a count-based and a time-based approach. …”
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Disparity Refinement Based on Depth Image Layers Separation for Stereo Matching Algorithms by Abd Manap, Nurulfajar, Soraghan, John J.

“…The initial disparity depth will be used to identify the layers of disparity depth map by adapting the Depth Image Layers Separation (DILS) algorithm that separate the layers of depth based on disparity range. …”
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Local-based stereo matching algorithm using multi-cost pyramid fusion, hybrid random aggregation and hierarchical cluster-edge refinement by Kadmin, Ahmad Fauzan

“…Several issues have been challenges to researchers, especially for local methods, such as producing an accurate correspondence between pixels that lie around the boundaries due to different illumination conditions. Besides that, window-based approaches and pixel-based intensity comparison between central pixels and neighbour pixels may cause problems at incorrect disparities, while similar matching costs at low textures cannot be efficiently solved with increasing window aggregation size or implementation of global optimisation. …”
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An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection by Algriree, Waleed, Sulaiman, Nasri, Isa, Maryam, Sahbudin, Ratna K. Z., Hassan, Siti L. M., Hmood Salman, Emad, Alghrairi, Mokhalad

“…This recommended SS algorithm, based on the hybrid filter detection (HFD) method, employs the Cosine law for filtering the traffic signal, and then enables segmentation by applying the Welch algorithm. …”
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EEG-based biometric authentication modelling using incremental fuzzy-rough nearest neighbour technique by Liew, Siaw Hong, Choo, Yun Huoy, Low, Yin Fen, Zeratul I., Mohd Yusoh

“…It reshapes the personalized knowledge granulesthrough insertion and deletion of a test object, based on similarity measures. A predefined window size can be used to reducethe overall processing time. …”
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MSS-TCP: a congestion control algorithm for boosting TCP performance in mmwave cellular networks by Alramli, Omar Imhemed, Mohd Hanapi, Zurina, Othman, Mohamed, Samian, Normalia, Ahmad, Idawaty

“…This paper proposes MSS-TCP, a novel congestion control algorithm designed for mmWave networks. MSS-TCP dynamically adjusts the congestion window (cwnd) based on the maximum segment size (MSS) and round-trip time (RTT), improving bandwidth utilization and congestion adaptability. …”
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EEG-Based Biometric Authentication Modelling Using Incremental Fuzzy-Rough Nearest Neighbour Technique by Liew, Siaw Hong, Choo, Yun Huoy, Yin, Fen Low, Mohd Yusoh, Zeratul Izzah

“…It reshapes the personalized knowledge granules through insertion and deletion of a test object, based on similarity measures. A predefined window size can be used to reduce the overall processing time. …”
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High performance through wall human activity recognition using WiFi by Wong, Yan Chiew, Abuhoureyah, Fahd, Mohd Isira, Ahmad Sadhiqin, Chuah, Joon Huang

“…Second, we propose a normalized variance sliding windows algorithm to segment the time of human action from the waveforms, which can differentiate human actions' start and end times. …”
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data by Karimi, Mostafa

“…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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Detection and Severity Identification of control valve stiction in industrial loops using integrated partially retrained CNN-PCA frameworks by YAU, YONG SONG

“…Recent neural network based stiction detection methods published are only able to perform either stiction detection or quantification, which open up an area of research to propose a simplified algorithm to simultaneously detect and quantify stiction with high generalization capability. …”
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