Search Results - (( its application learning algorithm ) OR ( model application status algorithm ))*

Classification of Citrus (Rutaceae) by Using Image Processing by Najwa Bari'ah Mohd Tabri

“…A machine learning algorithms, SVM have been used to build species identification models. …”
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Brewing perfection: real-time monitoring of arabic coffee using iot and machine learning by Abuzaraida, Mustafa Ali, A. L. gaud, Sarah, Abrahim Hneish, Hamza, Attarbashi, Zainab

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AI chatbot system for educational institutions by Tan, Hui Hui

“…The chatbot's capabilities extend to speech recognition, document uploads, and appointment management, enhancing its usability and accessibility. Users can seamlessly apply for programs, check application statuses, and schedule campus visits, all while enjoying a user-friendly experience. …”
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Deep learning-based vehicular engine health monitoring system utilising a hybrid convolutional neural network/bidirectional gated recurrent unit by Rahim, Md. Abdur, Rahman, Md Mustafizur, Islam, Md. Shofiqul, Md. Muzahid, Abu Jafar, Rahman, Md. Arafatur, D., Ramasamy

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Non-halal gelatin prediction: a comparative machine learning analysis between OPLS–DA and ANN models by Mohd Hafis Yuswan, Norazlina Ali, Syaiful Izwan Ismail, Basyirah Muda, Mohamad Habeeb Helmy Idris, Mazidah Md Nor, Nur Suhadah Nawi, Muhamad Shirwan Abdullah Sani, Lai, Kok Song

“…Gelatin is derived from animal collagen, sourced primarily from bovine or porcine, and finds widespread application within the food industry. These issues raise concern over its halal status, particularly among Muslims and Jews, as they adhere to dietary laws prohibiting the consumption of pork and its derivatives. …”
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Trust-aware authentication and authorization for IoT: a federated machine learning approach by Ahmed, Kazi Istiaque, Tahir, Mohammad, Lau, Sian Lun, Habaebi, Mohamed Hadi, Ahad, Abdul, Mughees, Amna

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Non-halal gelatin prediction: a comparative machine learning analysis between OPLS–DA and ANN models by Yuswan, Mohd Hafis, Ali, Norazlina, Ismail, Syaiful Izwan, Muda, Basyirah, Helmy Idris, Mohamad Habeeb, Md Nor, Mazidah, Nawi, Nur Suhadah, Abdullah Sani, Muhamad Shirwan, Kok Song, Lai

“…Gelatin is derived from animal collagen, sourced primarily from bovine or porcine, and finds widespread application within the food industry. These issues raise concern over its halal status, particularly among Muslims and Jews, as they adhere to dietary laws prohibiting the consumption of pork and its derivatives. …”
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Non-halal gelatin prediction: a comparative machine learning analysis between OPLS–DA and ANN modelsramalan gelatin tidak halal: perbandingan analisis pembelajaran mesin antara mod... by Yuswan, Mohd Hafis, Ali, Norazlina, Ismail, Syaiful Izwan, Muda, Basyirah, Helmy Idris, Mohamad Habeeb, Md Nor, Mazidah, Nawi, Nur Suhadah, Abdullah Sani, Muhamad Shirwan, Lai, Kok Song

“…Gelatin is derived from animal collagen, sourced primarily from bovine or porcine, and finds widespread application within the food industry. These issues raise concern over its halal status, particularly among Muslims and Jews, as they adhere to dietary laws prohibiting the consumption of pork and its derivatives. …”
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Web-based machine learning prediction of stroke rehabilitation exercise categories by Johan, Elly Johana, Md Salleh, Nurul Izah, Mat Diah, Norizan, Idrus, Zainura

“…Validation against rehabilitation specialists yielded strong agreement (Cohen’s κ = 0.82), confirming clinical reliability. The RF model was integrated into a web-based application hosted on Heroku. …”
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Development of machine learning sentiment analyzer and quality classifier (MLSAQC) and its application in analysing hospital patient satisfaction from Facebook reviews in Malaysia by A Rahim, Afiq Izzudin

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Beyond the classroom: digital language learning in the Malaysian context by Mohd Nadzrin, Nur Amelia, Md Yunus, Melor, Mohd Said, Nur Ehsan

“…This paper examines current trends and prospects of Digital Twin applications in HVAC-BMS integration for Malaysian green buildings, focusing on implementation status, climate-specific adaptations, and potential benefits. …”
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Classification models for higher learning scholarship award decisions by Wirawati Dewi Ahmad, Azuraliza Abu Bakar

“…The model that had the highest accuracy rate for ‘Not Eligible’ status of scholarship offered was NB model, whereas SVM model was the weakest model to classify ‘Not Eligible’ status. …”
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Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad by Mohammad, Norhasmira

“…Traditionally, age estimation is dependent on radiographic examinations, and its application requires human competence. Demirjian's technique is one of the most frequently used methods to establish an individual's age. …”
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Analysis of photovoltaic panels performance and power output forecasting based on optimized deep learning technique / Muhammad Naveed Akhter by Muhammad Naveed, Akhter

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Effect of chaos noise on the learning ability of back propagation algorithm in feed forward neural network by Azian Azamimi, Uwate, Yoko, Nishio, Yoshifumi

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Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

“…However, the link is directed to a webpage which displays a status that currently the webpage is under construction. …”
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A modified generalized RBF model with EM-based learning algorithm for medical applications by Ma, Li Ya, Abdul Rahman, Abdul Wahab, Quek, Chai

“…Radial Basis Function (RBF) has been widely used in different fields, due to its fast learning and interpretability of its solution. …”
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SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA by AHMED IZZELDIN, HUZAIFA TAWFEIG

“…This thesis gives a systematic investigation of various MLP learning mainly Sliding Window (SW) learning mode which is treated as the adaptation of offline algorithms into online application Consequently this thesis reviews various offline algorithms including: batch backpropagation, nonlinear conjugate gradient, limited memory and full-memory Broyden, Fletcher, Goldfarb and Shanno algorithms and different forms of the latest proposed bimary ensemble learning. …”
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection by Tubishat, Mohammad, Idris, Norisma, Shuib, Liyana, Abushariah, Mohammad A.M., Mirjalili, Seyedali

“…Two main improvements were included into the original SSA algorithm to alleviate its drawbacks and adapt it for feature selection problems. …”
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Q-learning whale optimization algorithm for test suite generation with constraints support by Hassan, Ali Abdullah, Salwani, Abdullah, Kamal Z., Zamli, Rozilawati, Razali

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