Search Results - parameter estimation using integrated framework

ACCURATE INDOOR POSITION ESTIMATION TECHNIQUE USING FINGERPRINTING AND LATERATION-BASED APPROACH IN BLUETOOTH TECHNOLOGY by SUBHAN, FAZLI

“…In summary, this thesis presents a complete framework for indoor position estimation using Bluetooth networks.…”
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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

“…The atmospheric light scattering (ALS) model is widely used to restore hazy images. In this model, two unknown parameters should be estimated: airlight and scene transmission, The quality of dehazed images depends considerably on the accuracy of both estimates. …”

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.

Control Relevant System Identification Using Orthonormal Basis Filter Models by Tufa, Lemma Dendena

“…The model parameters are easily estimated using the linear least square method. …”
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A real-time framework for video Dehazing using bounded transmission and controlled Gaussian filter by Alajarmeh, A, Zaidan, AA

Steel strips surface classification and defect detection based on multiple integrated features and classification schemes by Ashour, Mohammed W. M.

“…Finally, the surface roughness parameters for all classified images are estimated. …”
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A real-time framework for video Dehazing using bounded transmission and controlled Gaussian filter by Alajarmeh A., Zaidan A.A.

Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh by Rawaa Dawoud Hassan, Al-Dabbagh

“…ARDE algorithm makes use of JADE strategy and the MDE_pBX parameters adaptive schemes as frameworks. …”
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Inherent Safety Intervention Framework by Chan , Tuck Leong

“…This has been documented in publications which indicated the lack of an effective Inherent Safety Quantification methodology and the lack of integration between process design stages with risk and consequence estimation are hurdles to designing inherently safer process plants. …”
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Theory-guided machine learning for predicting and minimising surface settlement caused by the excavation of twin tunnels / Chia Yu Huat by Chia , Yu Huat

“…This dataset, alongside key parameters like cover-to-depth ratio, pillar width, soil stiffness, cohesion, friction angle, and overburden-to-face pressure ratio, integrates into a machine learning framework using a theory-guided approach. …”
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Electric vehicle battery state of charge estimation using metaheuristic-optimized CatBoost algorithms by Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Ahmad Salihin, Samsudin, Amir Izzani, Mohamed, Mohd Mawardi, Saari

“…A comprehensive data preprocessing pipeline was implemented, including missing value treatment, outlier removal, and feature normalization using Min-Max scaling. Three distinct metaheuristic algorithms were investigated: Barnacles Mating Optimizer (BMO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Whale Optimization Algorithm (WOA), each integrated with CatBoost to optimize critical parameters including learning rate, tree depth, regularization, and bagging temperature. …”
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Modeling of cupping suction system based on system identification method by Kavindran, Suresh

“…The transfer function model also makes use of a continuous-time transfer function. The pole-zero map is used to test the success of the suggested framework in terms of convergence curve responsiveness, output response, and model stability. …”
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Applications of the ANFIS and LR models in the prediction of shear connection in composite beams / Ali Toghroli by Ali, Toghroli

“…Afterwards, ANFIS network was used to determine which parameters are the most influential on shear strength of channel shear connectors. …”
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Operational performance of megawatt-scale grid integrated rooftop solar PV system in tropical wet and dry climates of India by Thotakura, Sandhya, Kondamudi, Sri Chandan, Xavier, J. Francis, Quanjin, Ma, Reddy, Guduru Ramakrishna, Gangwar, Pavan, Davuluri, Sri Lakshmi

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Parameter characterization of PEM fuel cell mathematical models using an orthogonal learning-based GOOSE algorithm by Manoharan P., Ravichandran S., Kavitha S., Tengku Hashim T.J., Alsoud A.R., Sin T.C.

“…This study proposed an improved parameter estimation procedure for PEMFCs by using the GOOSE algorithm, which was inspired by the adaptive behaviours found in geese during their relaxing and foraging times. …”

An innovative approach to financial market analysis: hybrid ARFIMA with Sieve and Moving Block Bootstrap by Alshaimaa Elwasify, Zaidi Isa

“…The results show that the proposed model significantly outperforms other traditional and combined models in terms of forecasting accuracy and estimation reliability. This improved performance underscores the importance of integrating advanced bootstrap techniques with traditional models to better understand the complex characteristics of financial data. …”
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A new regression modelling approach and its application in biostatistics by Eusufzai, Sumaiya Zabin

“…The integrated method used in this study is based on the principles of Bootstrap, LRM, and MLFFNN. …”
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Controlling the non-parametric modeling of Double Link Flexible Robotic Manipulator using Hybrid PID tuned by PType ILA by Annisa, Jamali, Ana Sakura, Zainal Abidin, Mat Darus, I.Z., Tokhi, M.O.

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Modelling Water Allocation for a Run-of-the-River Rice Irrigation Scheme Using GIS by Kamal, Md. Rowshon

“…The simulation model was tried with different parameters and criteria using optimal allocation policy. …”
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Uncertainty analysis of extreme hydrological events in the semi-arid Zayanderood Basin, central Iran by Mirzaei, Majid

“…The watershed was simulated for each event using Monte Carlo sampling from statistical distribution of input parameters. …”
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