Search Results - (( developing maturity model algorithm ) OR ( java implication based algorithm ))

Formulating Infostructure Maturity Model for Disaster Management by Latif A.A., Arshad N.H., Janom N.

Evaluations of oil palm fresh fruit bunches maturity degree using multiband spectrometer by Tuerxun, Adilijiang

“…The ROC curve area indicated an average weighted value of 77.4% for the area under the curve as indicated, which is a measure applied for the accuracy of the applied algorithm. In conclusion, the simple machine learning algorithm model evaluation is developed to classify the oil palm maturity degrees, in order to validate the human grader assessments to enhance the productivity of the oil milling industries.…”
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Relationship between psycho-maturity and performance of sepak takraw by Abdullah, Prof. Madya Dr. Mohamad Razali

“…The Louvain clustering algorithm is used to categorise the players to high, medium and low psycho-matured players based on seven fundamental psychological measures, viz. maturity status, selftalk, activation, imagery, emotion control, automaticity and goal setting. …”
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An integrated reservoir modelling and evolutionary algorithm for optimizing field development in a mature fractured reservoir by Sambo, C.H., Hematpour, H., Danaei, S., Herman, M., Ghosh, D.P., Abass, A., Elraies, K.A.

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Relationship between psycho-maturity and performance of sepak takraw by Rabiu Muazu, Musa, Anwar, P. P. Abdul Majeed, Norlaila Azura, Kosni, Mohamad Razali, Abdullah

“…The Louvain clustering algorithm is used to categorise the players to high, medium and low psycho-matured players based on seven fundamental psychological measures, viz. maturity status, selftalk, activation, imagery, emotion control, automaticity and goal setting. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Oil palm maturity classifier using spectrometer and machine learning by Goh, Jia Quan

“…The prediction was able to produce 100% accuracies by using Linear and Weighted KNN as classification testing algorithm. An application was built by using the NDVI prediction model. …”
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Sales prediction for media platforms advertising expenditure using Linear Regression / Nur Athirah Abdurahman by Abdurahman, Nur Athirah

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Diagnosis and treatment recommender system for myocardial infarction using decision tree and Support Vector Machines (SVM) / Wan Marzuqiamrin Wan Mansor by Wan Mansor, Wan Marzuqiamrin

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Identification and Grading of Manage Using Image Processing by Shukor, Syazwan

“…Automation in agriculture especially for post-harvest yield inspection has played a vital role in reducing such error and at the same time, ensuring produce such as fruits and vegetables are graded based on commercial standards. This project has developed an image processing algorithm for a systematic maturity identification of "Mangga Susu Thai Gold" mangos. …”
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Near-infrared technique for oil palm fruit grading system by Saeed, Osama Mohamed Ben

“…The mathematical model was developed to determine the real value of the reflection of specific wavelengths for the three categories of oil palm FFBs through regression analysis. …”
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Arabtalk, an implementation for Arabic TTS by Abdulhalim, Yasser Hifny, Qurany, Shady, Hamid, Salah, Rashwan, Muhsen, Atiyya, Muhammad, Ahmed Mahmoud, Ahmed Ragheb, Khallaaf, Galaal

“…In this framework, a mature phonology framework has been developed and many perfect rule based models were utilized in the process of letter to sound conversion. …”
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Toward Quantum-Resilient PKI: A Systematic Literature Review of Post-Quantum Certificates Model by Nor Azeala Mohd Yusof, A H Azni, Farida Hazwani Mohd Ridzuan, Nur Hafiza Zakaria, Sakinah Ali Pitchay, Abdul Alif Zakaria, Tasnuva Ali

Enhancing pineapple cultivar classification: a framework for image quality, feature extraction, and algorithmic refinement by Ab Jabal, Mohamad Faizal, Rozlan, Muhammad Irfan, Suhaimi, Azrina, Hasmy, Harshida

“…The study addresses two main research gaps: precise quantification of skin colour and the development of robust classification frameworks. Future work will emphasise empirical validation and the deployment of the YOLOv7 model for real-time, on-site assessment of fruit maturity in field conditions. …”
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Design and Development of a Vision System Interface for Three Degree of Freedom Agricultural Robot by Omrane, Bouketir

“…The importance of the derivation of the kinematic model arises in the development of the control strategy. …”
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Predicting the maturity and organic richness using artificial neural networks (ANNs): A case study of Montney Formation, NE British Columbia, Canada by Barham, A., Ismail, M.S., Hermana, M., Padmanabhan, E., Baashar, Y., Sabir, O.

“…This study focuses on the application of artificial neural networks (ANNs) and principal component analysis (PCA) to develop an accurate model for TOC and Tmax prediction, based on petrophysical logs of depth, sonic, natural gamma, deep resistivity, and density. …”
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Acquisition of new subscribers using analytical models in the telecommunication industry / Nik Muhammad Naim Nik Ghazali by Nik Ghazali, Nik Muhammad Naim

“…The algorithm is developed for the analytical acquisition model and the result shows that the model managed to achieve the set target mobile revenue with only a small number of subscribers. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Improve in speed and the convergence in training process for the purpose of system modeling using Hybrid Multilayer Perceptron (HMLP) neural network / Farida Karman by Karman, Farida

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Accuracy of advanced deep learning with tensorflow and keras for classifying teeth developmental stages in digital panoramic imaging by Norhasmira, Mohammad, Anuar Mikdad, Muad, Rohana, Ahmad, Mohd Yusmiaidil, Putera Mohd Yusof

“…Background: This study aims to propose the combinations of image processing and machine learning model to segment the maturity development of the mandibular premolars using a Keras-based deep learning convolutional neural networks (DCNN) model. …”
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