Search Results - Convolutional comes

Intelligent motion planning of a mobile robot by using convolutional neural network / Siti Asmah Abdullah by Siti Asmah, Abdullah

“…The mobile robot is being tested in three different environment maps which come with unique and different levels of difficulty. …”
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Pretrained Convolutional Neural Networks As Feature Extrator Of Eggshell Mottling Pattern For Quality Inspection by Ng, Eng Yeong

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Monkeypox disease detection using Convolutional Neural Network (CNN) / Nur Farhain Humaira Ghanami by Ghanami, Nur Farhain Humaira

“…Thus, this research project aims to develop a prototype for detecting Monkeypox Disease Detection using Convolutional Neural Network (CNN) and detect monkeypox disease, which can assist in reducing its spread and improve patient outcomes. …”
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Computationally efficient single layer transformer convolutional encoder for accurate price prediction of agriculture commodities by Bundak, Caceja Elyca, Abd Rahman, Mohd Amiruddin, Mohd Haniff, Nurin Syazwina, Afrizal, Nur Syaiful, Yusof, Khairul Adib, Abdul Karim, Muhammad Khalis, Mamat, Md Shuhazlly, Rahmat, Romi Fadillah

“…Therefore, this study introduces the single-layer Transformer Convolutional Encoder algorithm (STCE), an improved version of the traditional transformer encoder. …”
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Preliminary Result: AI-Generated Neutrophil Image using Deep Convolution GAN for Data Augmentation. by Nizam, Syafie, MD Ali, Mohd Adli

“…To accomplish this, we developed a Deep Convolution GAN (DCGAN) and trained with 3329 neutrophil images. …”
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Using convolution neural networks for improving customer requirements classification performance of autonomous vehicle by Hao, Wang, Asrul, Adam, Fengrong, Han

“…For classification purpose, the customer requirements are divided into six categories that the concept are come from the quality management system (QMS) standard. …”
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Multi-level Multi-scale Deep Feature Encoding for Chronological Age Estimation from OPG Images by Alkaabi S., Yussof S.

“…For the representation of the generated features, authors have utilized �Atrous pyramid convolution� to produce a multiscale representation. …”

Underwater Image Recognition using Machine Learning by Divya, N.K., Manjula, Sanjay Koti, Priyadarshini, S

“…It encompasses the procedure for feeding algorithms information to create the algorithms realize patterns in the data and then increase the performance of the algorithms. A Convolutional Neural Network (CNN) is a type of a deep learned an algorithm that has been created for image processing when using convolutional layers to automatically and in a hierarchical way learn features from the input images. …”
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Blockchain for Healthcare Medical Records Management System with Sharing Control by Haddad, Alaa, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul, Zabidi, Suriza Ahmad

“…This is where Blockchain technology comes into play. The Blockchain with consensus protocol ensures that information is authentic, and transactions are safe. …”
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Pineapple disease detection system using MobileNeTv2 model / Muhammad Nu’man Hakim Abdul Aziz and Iman Hazwam Abd Halim by Abdul Aziz, Muhammad Nu’man Hakim, Abd Halim, Iman Hazwam

“…Deep learning is a branch of machine learning that teaches computers to do what comes naturally to humans: learn from experience. …”
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Early detection of anxiety in social media using Convolution neural network / Mohd Tharwan Hadi Ruslan by Ruslan, Mohd Tharwan Hadi

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Automated image captioning with deep neural networks by Abdullah, Ahmad Zarir, Bashar, Saad, Ismail, Amelia Ritahani

“…The language translation model uses RNN for both encoding and decoding, whereas this model uses a Convolutional Neural Networks (CNN) for encoding and an RNN for decoding. …”
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Detection of lesion of lung cancer in CT scan images using watershed segmentation / Nur Najihah Sofia Mohd Marzuki …[et al.] by Mohd Marzuki, Nur Najihah Sofia, Sulaiman, Siti Noraini, Isa, Iza Sazanita, A.Karim, Noor Khairiah, Md Tahir, Nooritawati

“…The lung lobes and nodules or lesion in CT image are segmented using two techniques which are convolution watershed and modified watershed within two stage approaches. …”
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Face recognition using deep learning by Ooi, Zi Xen

“…The developed face recognition system exploits the pre-trained Multi-task Cascaded Convolutional Network (MTCNN) model for face detection and the standard techniques with FaceNet embeddings as feature vectors for face recognition. …”
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An Educational Android App For Identifying Animals In Zoo by Voon, Cherng Jyh

“…Zoo has been one of the favourite learning spots for children when it comes to animal study. In the outdoor learning session, teachers will often find it difficult to tutor their students while ensuring their safety. …”
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Deep learning: diabetic retinopathy detection using fundus image by Beh, Jun Yue

“…Diabetic retinopathy (DR) is one of the leading causes of blindness worldwide. DR normally come with diabetes when it affects an individual. …”
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Monkeypox and measles detection using CNN with VGG-16 Transfer Learning / M Hafidz Ariansyah, Sri Winarno and Ramadhan Rakhmat Sani by Ariansyah, M Hafidz, Winarno, Sri, Sani, Ramadhan Rakhmat

“…This virus is spread by coming into touch with infected animals or humans. …”
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Measuring student satisfaction based on analysis of physical parameters in smart classroom by Shiri, Farhad Mortezapour, Perumal, Thinagaran, Mustapha, Norwati, Mohamed, Raihani, Ahmadon, Mohd Anuaruddin, Yamaguchi, Shingo

“…The findings of this study suggest that, on the whole, deep learning models demonstrate superior performance when it comes to classifying data about this particular problem, as compared to traditional machine learning models. …”
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The effect of dataset imbalance on the performance of SCADA intrusion detection systems by Balla, Asaad, Habaebi, Mohamed Hadi, Elsheikh, Elfatih A A, Islam, Md Rafiqul, Suliman, F M

“…For binary classification, convolutional neural networks were coupled with long short-term memory (CNN-LSTM). …”
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A deep learning approach: The impact of sentiment analysis of Bangladeshi workers over the world by Tomal, Md Raihanul Islam, Kader, Tanveer, Kohbalan, Moorthy, Mazlina, Abdul Majid

“…As maximum workers usually come from rural Bangladeshi communicate they use local dialect for conversations and very popular widely used local dialect known as Pabnaia. …”
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