Search Results - (( developing human morphology algorithm ) OR ( java implication based algorithm ))

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

“…Due to the inherent and uncertain variability of the Harumanis features, fuzzy learning algorithm has been designed to classify these fruits similar to the ability of human experts. …”
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A hybrid chromaticity-morphological machine learning model to overcome the limit of detecting newcastle disease in experimentally infected chicken within 36 h by Bakar, Mohd Anif A.A., Ker, Pin Jern, Tang, Shirley G.H., Arman Shah, Fatin Nursyaza, Mahlia, T. M.Indra, Baharuddin, Mohd Zafri, Omar, Abdul Rahman

“…This work demonstrates a promising methodology in developing machine learning algorithm using hybrid chromaticity-morphological features for early detection of virus-infected chickens, contributing to the goal of a sustainable and healthier planet.…”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Morphology, molecular characterization and habitat preference of harmful Benthic dinoflagellate gambierdiscus (Dinophyceae) in Malaysia / Nurin Izzati Mustapa by Nurin Izzati , Mustapa

“…Morphological information and the distribution of Gambierdiscus species were used to develop a comprehensive taxonomic database of Gambierdiscus, and a 3I web-based interactive identification key for species identification is presented. …”
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Integrated face detection approach for far image application by Salka, Tanko Daniel

“…The noise reduction method in the proposed algorithm consists of a combination of a morphological filter and a rejection method. …”
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An image processing technique for mental health assessment from Electrophotonic by Janifal Alipal

“…In correlation to EPI development, this thesis is presenting an engineering approach on how the captured Kirlian effect in an image form indicates the energy level of human biofield. …”
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An image processing technique for mental health assessment from electrophotonic images by Janifal Alipal

“…In correlation to EPI development, this thesis is presenting an engineering approach on how the captured Kirlian effect in an image form indicates the energy level of human biofield. …”
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Segmentation of Magnetic Resonance Brain Images Using Watershed Algorithm by Abdurrahim, Salem Hamed

“…The proposed technique based on the watershed algorithm, which is applied to the gradient magnitude of the MRI data. …”
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Classification of Citrus (Rutaceae) by Using Image Processing by Najwa Bari'ah Mohd Tabri

“…This research will be conducted by using digital image processing approach based on the morphological features of leaf with the combination of gray level co-occurrence matrix (GLCM), Prewitt and Canny algorithm and training classification models by using support vector machine (SVM). …”
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Translating conventional wisdom on chicken comb color into automated monitoring of disease-infected chicken using chromaticity-based machine learning models by Bakar M.A.A.A., Ker P.J., Tang S.G.H., Baharuddin M.Z., Lee H.J., Omar A.R.

“…These works have shown that, despite using only the optical chromaticity of the chicken comb as the input data, the developed models (95% accuracy) have performed exceptionally well, compared to other reported results (99.469% accuracy) which utilize more sophisticated input data such as morphological and mobility features. …”

AUTOMATED MALARIA PARASITE QUANTIFICATION OF THIN BLOOD SMEAR by YEO, YEO SOCK CHUANG

“…The algorithm of this study successfully computes the parasitemia of a thin blood smear. …”
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A hybrid unsupervised approach toward EEG epileptic spikes detection by Khosropanah, Pegah, Ramli, Abdul Rahman, Abbasi, Mohammad Reza, Marhaban, Mohammad Hamiruce, Ahmedov, Anvarjon

“…The results show the efficiency of this algorithm in detecting epileptic spikes using low-resolution EEG with least computational complexity, highest sensitivity, and lesser human interaction compared to similar studies. …”
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Hand Gesture Recognition Using Artificial Neural Networks by Mustafa, Mohd Amrallah

“…A multilayer perceptron with back-propagation algorithm has been developed, thus the system is actually in-built to be used as a human machine interface. …”
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An automated pipeline for constructing 3D models of monogenean hardparts using machine learning technique for landmarks detection / Teo Bee Guan by Teo , Bee Guan

“…Hence, this study was designed to develop an alternative 3D modelling approach to build 3D models of monogenean anchors which can be used to understand these morphological structures in three dimensions. …”
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Smart Microgrid approach for Distributed power generation of renewable energy by Khushi, Farha, Motakabber, S. M. A., Ahmed Hamida, Belal, Azman, Amelia Wong, Bhattacharjee, Amit

“…The Faulty Location Detection (FLD) process is centered by wavelet trigger signal and mathematical morphology algorithm. In the method, the wavelet trigger signal caused by the equivalent current or voltage for a short time, travels to both terminals of the line are simulated to identify whether the fault occurs in the short branch using mathematical morphology algorithm. …”
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Detection of hemorrhage and exudates in retinal fundus image of diabetic patients by Siti Sarah, Ahmad Mansor

“…This natural flaws of human being can affect the diagnosis and then causing false result analysis. …”
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Retinal Fluids Segmentation Using Volumetric Deep Neural Networks on Optical Coherence Tomography Scans by Alsaih, K., Yusoff, M.Z., Tang, T.B., Faye, I., Meriaudeau, F.

“…The frequent visit of patients affected with retinal diseases raised the need for developing automatic algorithms to localize and quantity the morphological changes occurring in the retina. …”
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Translating conventional wisdom on chicken comb color into automated monitoring of disease-infected chicken using chromaticity-based machine learning models by Bakar, Mohd Anif A. A., Ker, Pin Jern, Tang, Shirley G. H., Baharuddin, Mohd Zafri, Lee, Hui Jing, Omar, Abdul Rahman

“…These works have shown that, despite using only the optical chromaticity of the chicken comb as the input data, the developed models (95 accuracy) have performed exceptionally well, compared to other reported results (99.469 accuracy) which utilize more sophisticated input data such as morphological and mobility features. …”
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Camera orientation determination based on copper wire spool shape by Farah Adiba, Azman, Mohd Razali, Daud, Amir Izzani, Mohamed, Addie Irawan, Hashim, Raja Mohd Taufika, Raja Ismail, Mohd Mawardi, Saari

“…Inspired by how human perceive an object orientation based on its shape, an algorithm is developed to determine robot orientation based on the shape of a copper wire spool relative to camera position and yaw angle. …”
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