Search Results - (( yield detection method algorithm ) OR ( using optimization method algorithm ))

Novel chewing cycle approach for peak detection algorithm of chew count estimation by Selamat, Nur Asmiza, Md Ali, Sawal Hamid, Ismail, Ahmad Ghadafi, Ahmad, Siti Anom, Minhad, Khairun Nisa'

“…This work proposes a novel approach to chew count estimation using particle swarm optimization (PSO) combined with a peak detection algorithm. …”
Get full text
Get full text

Novel chewing cycle approach for peak detection algorithm of chew count estimation by Selamat, Nur Asmiza, Md Ali, Sawal Hamid, Ismail, Ahmad Ghadafi, Ahmad, Siti Anom, Minhad, Khairun Nisa’

“…This work proposes a novel approach to chew count estimation using particle swarm optimization (PSO) combined with a peak detection algorithm. …”
Get full text
Get full text
Get full text

Defects identification on semiconductor wafer for yield improvement using machine learning / Pedram Tabatabaeemoshiri by Pedram , Tabatabaeemoshiri

“…The algorithm showed consistent performance across different wafer types and test configurations, outperforming traditional detection methods with improved computational efficiency. …”
Get full text
Get full text
Get full text

Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves by Lia, Kamelia

“…In the next phase, the datasets are optimized using the Salp Swarm Algorithm (SSA), which improves classification accuracy. …”
Get full text
Get full text
Get full text
Get full text

New global maximum power point tracking and modular voltage equalizer topology for partially shaded photovoltaic system / Immad Shams by Immad , Shams

“…Only one dynamic variable is used as a tuning parameter reducing the complexity of the algorithm. …”
Get full text
Get full text
Get full text

Photogrammetric low-cost unmanned aerial vehicle for pothole detection mapping / Shahrul Nizan Abd Mukti by Abd Mukti, Shahrul Nizan

“…The study set four main objectives to achieve its aim: (1) To analyse RGB and multispectral sensor calibration, (2) To evaluate the optimal flight parameters for pothole modelling production using RGB imagery, (3) To investigate various classifier algorithms and band combinations for pothole region areas using multispectral imagery and (4) To validate geometric information from the extracted pothole. …”
Get full text
Get full text

Context-driven satire detection with deep learning by Razali, Md Saifullah, Abdul Halin, Alfian, Chow, Yang-Wai, Mohd Norowi, Noris, Doraisamy, Shyamala

“…Finally, the combined feature sets undergoes the classification using well-known machine learning classification algorithms. …”
Get full text
Get full text

Modeling, Testing and Experimental Validation of Laser Machining Micro Quality Response by Artificial Neural Network by Sivarao, Subramonian

“…Experimentally observed responses were used to train, map and optimize the network algorithms before the best architecture was selected. …”
Get full text
Get full text

Optimization of coded signals based on wavelet neural network by Ahmed, Mustafa Sami

“…When compared with other existing methods, WNN yields better PSR, low Mean Square Error (MSE), less noise, range resolution ability and Doppler shift performance than the previous and some traditional algorithms like auto correlation function (ACF) algorithm.…”
Get full text
Get full text
Get full text
Get full text

Drowsiness Detection Using Ocular Indices from EEG Signal by Tarafder, S., Badruddin, N., Yahya, N., Nasution, A.H.

“…These models were further optimized to improve their performance. We were able to show that features from EEG ocular artifacts are able to classify drowsy and alert states, with the optimized ensemble-boosted trees yielding the highest accuracy of 91.10 among all classic machine learning models. …”
Get full text
Get full text

Automated underwater vision system for detection and classification of marine life using CNN YOLO-based model / Mohamed Syazwan Asyraf Rosli by Rosli, Mohamed Syazwan Asyraf

“…Recently, the integration of computer vision and machine learning has given solutions to improve the underwater detection system by using intelligent classifier algorithm in real-time computer vision to detect underwater animals with challenging environments. …”
Get full text
Get full text

Particle Swarm Optimization Algorithm Based Fuzzy Controller for Solid-State Transfer Switch Toward Fast Power Transfer and Power Quality Mitigation by Hannan M.A., Sebastian G., Al-Shetwi A.Q., Ker P.J., Rahman S.A., Mansor M., Muttaqi K.M., Uddin M.

“…The objective of this research is to propose an innovative method for improving the efficiency and productivity of fuzzy logic controllers (FLCs) under the influence of harmonics in non-linear loads, by using particle swarm optimization (PSO) for solid-state transfer switch (SSTS). …”

Radiomics analysis and supervised machine learning model for classification of cervical cancer images using diffusion weighted imaging-MRI by Ramli, Zarina

“…Additionally, the SVM algorithm was evaluated based on its performance across different DWI bvalues, aiming to optimize scanning time. …”
Get full text
Get full text
Get full text

Stochastic Modelling Of Bioethanol Fermentation By Saccharomyces Cerevisiae Grown In Oil Palm Residues by Samsudin , Mohd Dinie Muhaimin

“…Process optimization in shake flasks culture using one-factor-at-a-time (OFAT) method produced bioethanol yield of 0.428 g/g. …”
Get full text
Get full text

Optimization of Lipase Catalysed Synthesis of Sugar Alcohol Esters Using Taguchi Method and Neural Network Analysis by Adnani, Seyedeh Atena

“…In this system,similar insolvent system, three methods including one variable at a time, Taguchi method and ANN were used for optimization and prediction of percentage of conversion. …”
Get full text
Get full text

Configuration and analysis of piezoelectric-based in socket sensory system for transfemoral prosthetic Gait detection / Farahiyah Jasni by Farahiyah , Jasni

“…The finalized configuration that resulted in the best response was adopted and used to collect data for training and classifying the gait phase using pattern recognition method. …”
Get full text
Get full text
Get full text

Analysis of breast region segmentation in thermal images using U-Net deep neural network variants by Rosli, Rafhanah Shazwani, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul, Al Husaini, Mohammed Abdulla Salim

“…Reliable segmentation is essential to improve the effectiveness of computer-aided diagnosis systems. Methods: This study evaluated three segmentation models—U-Net, U-Net with Spatial Attention, and U-Net++—using five optimization algorithms (ADAM, NADAM, RMSPROP, SGDM, and ADADELTA). …”
Get full text
Get full text
Get full text
Get full text

White blood cell recognition for biomarker model using improved convolutional neural network (CNN) by Mohd Safuan, Syadia Nabilah

“…Finally, the optimal FT model will undergo series of performance testing using two public WBCs dataset which are LISC and IDB-2. …”
Get full text
Get full text
Get full text
Get full text

Effective synthesis of biodiesel from Jatropha curcas oil using betaine assisted nanoparticle heterogeneous catalyst from eggshell of Gallus domesticus by Siow, Hwa Teo, Islam, Aminul, Masoumi, Hamid Reza Fard, Yap, Yun Hin @ Md. Taufiq, Janaun, Jidon, Chan, Eng Seng, Khaleque, M.A.

“…Artificial neural network (ANN) based on the genetic algorithm (GA) was applied for optimization of varied reaction parameters. …”
Get full text
Get full text
Get full text

Cabbage disease detection system using k-NN algorithm by Mohamad Ainuddin Sahimat

“…Then, the segmented cabbage sample will use the GLCM method for feature extraction. It is a method of extracting second-order statistical texture features to detect diseases more efficiently. …”
Get full text
Get full text
Get full text