Search Results - time estimation using ((evolution framework) OR (evaluation framework))

Impacting clinical evaluation of anterior talofibular ligament injuries through analysis of ultrasound images by Singh, V., Elamvazuthi, I., Jeoti, V., George, J., Swain, A., Kumar, D.

“…It was found that estimated computational performance of the developed framework is 12 times faster than existing Chan-Vese method. …”
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Impacting clinical evaluation of anterior talofibular ligament injuries through analysis of ultrasound images by Singh, V., Elamvazuthi, I., Jeoti, V., George, J., Swain, A., Kumar, D.

“…It was found that estimated computational performance of the developed framework is 12 times faster than existing Chan-Vese method. …”
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Construction and evaluation of panel count model for road accident data / Wan Fairos Wan Yaacob by Wan Yaacob, Wan Fairos

“…The second objective is to evaluate the effect of panel size and time dimension on the estimator of panel count model using Monte Carlo simulation. …”
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Quality of experience-oriented cross-layer downlink scheduling for heterogeneous traffic in long term evolution networks by Nasimi, Meysam

“…Along with multimedia services, the proposed framework also takes care of non-real-time traffic by ensuring a certain level of fairness. …”
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Real-time framework for image dehazing based on linear transmission and constant-time airlight estimation by Alajarmeh, A, Salam, RA, Abdulrahim, K, Marhusin, MF, Zaidan, AA, Zaidan, BB

“…To address this issue, this study proposes a framework for constant-time airlight and linear transmission estimation. …”

Estimating the date of origin of an HIV-1 circulating recombinant form by Tee, K.K., Pybus, O.G., Parker, J., Ng, K.P., Kamarulzaman, A., Takebe, Y.

“…The gag, pol and env genes were analyzed using a combined coalescent and relaxed molecular clock model, implemented in a Bayesian Markov chain Monte Carlo framework. …”
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Zero acceleration algorithm with state of motion identifier for position estimation of wheeled robot by Tan, Zhi Zhong

“…The result of the evaluation proven that the proposed framework is capable of reducing the velocity drift as well as the discrepancy between estimated position and actual measurement. …”
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Real-time framework for image dehazing based on linear transmission and constant-time airlight estimation by Alajarmeh A., Salam R.A., Abdulrahim K., Marhusin M.F., Zaidan A.A., Zaidan B.B.

Feature Selection and Classifier Parameters Estimation for EEG Signals Peak Detection Using Particle Swarm Optimization by Mohd Zaidi, Mohd Tumari, Asrul, Adam, Mohd Ibrahim, Shapiai, Mohd Saberi, Mohamad, Marizan, Mubin

“…In this study, feature selection and classifier parameters estimation based on particle swarm optimization (PSO) are proposed as a framework for peak detection on EEG signals in time domain analysis. …”
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State-of-charge estimation for lithium-ion batteries with optimized self-supervised transformer deep learning model by Dickson Neoh Tze How, Dr.

“…To overcome these limitations, this study proposes a novel DL architecture for SOC estimation using the Transformer model with the self-supervised learning (SSL) framework. …”

A real-time framework for video Dehazing using bounded transmission and controlled Gaussian filter by Alajarmeh, A, Zaidan, AA

“…To address this issue, this study proposes a framework for real-time video dehazing. This framework consists of two stages: single-image dehazing using the bounded transmission (BT) method, which is utilized to dehaze single video frame in real time with high accuracy; and transmission refinement stage using a filter we call controlled Gaussian filter (CGF), which is proposed for the linear and simplified refinement of the scene transmission. …”

Online Dynamic Optimization Studies Of Catalyzed Esterfication Of Propionic Anhydride With 2-Butanol In The Presence Of Disturbance And Uncertainty by Rohman, Fakhrony Sholahudin

“…Meanwhile, in order to determine the most effective estimator, derivative-free estimators, i.e. the scaled unscented Kalman filter (sUKF), the Divided Difference Kalman Filter (DDKF) and the Cubature Kalman Filter (CKF) have been evaluated in six different cases. …”
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A real-time framework for video Dehazing using bounded transmission and controlled Gaussian filter by Alajarmeh A., Zaidan A.A.

“…To address this issue, this study proposes a framework for real-time video dehazing. This framework consists of two stages: single-image dehazing using the bounded transmission (BT) method, which is utilized to dehaze single video frame in real time with high accuracy; and transmission refinement stage using a filter we call controlled Gaussian filter (CGF), which is proposed for the linear and simplified refinement of the scene transmission. …”

Asymmetry dynamic volatility forecast evaluations using interday and intraday data by Chin, Wen Cheong, Ng, Sew Lai, Zaidi Isa, Abu Hassan Shaari Mohd Nor

“…For forecast precision, the evaluations were conducted under three loss functions using the volatility proxies and realized volatility. …”
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Model-based viewpoint invariant human activity recognition from uncalibrated monocular video sequence by Htike@Muhammad Yusof, Zaw Zaw, Egerton, Simon, Kuang, Ye Chow

“…The proposed framework comprises two stages: 3D human pose estimation and human activity recognition. …”
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Regression analysis framework for material selection of natural fibre-reinforced polymer composites by Muhammad, Noryani

“…Three types of errors, such as mean absolute error (MAE), mean square error (MSE) and root mean squared error (RMSE) are used to evaluate the estimation process. All statistical measurements in stepwise regression are used during the screening process on material selection. …”
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Unveiling area estimation through Newton's Forward Divided Difference Method by Harun, Nurzalina, Sadikin, Zubaidah, Che Sulaiman, Che Nurul Hanna, Basri, Nur Hamiza, Salim Nasir, Mohd Agos, Rathi, Sidik

“…In this research study, a potentially novel technological interface named AppleMath will use a mathematical method called Newton's Forward Divided Difference Interpolation as a framework for area estimations. …”
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Facial age range estimation using geometric ratios and hessian-based filter wrinkle analysis by Razalli, Husniza

“…The Hessian-Based Filter is used to enhance wrinkle analysis for age range estimation method. …”
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The Application of the Water Erosion Prediction Project (WEPP) Model for the Estimation of Runoff and Sediment on a Monthly Time Resolution by Abolghasem, Akbari, Leila, Sedaei, Mehdi, Naderi, Azizan, Abu Samah, Nazila, Sedaei

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Simulated Kalman Filter algorithms for solving optimization problems by Nor Hidayati, Abdul Aziz

“…In principle, the optimization problem is regarded as a state estimation process. Each agent acts as a Kalman filter and finds solution to the optimization problem using a standard Kalman Filter framework which comprises of prediction, simulated measurement, and estimation phase that uses the best-so-far solution as a reference. …”
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