Search Results - "deep learning"

The rise of deep learning in cyber security: Bibliometric analysis of deep learning and malware by Nur Khairani, Kamarudin, Ahmad Firdaus, Zainal Abidin, Mohd Zamri, Osman, Alanda, Alde, Erianda, Aldo, Shahreen, Kasim, Mohd Faizal, Ab Razak

“…Deep learning is a machine learning technology that allows computational models to learn via experience, mimicking human cognitive processes. …”
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Deep Learning for Plant Phenotyping by Mori, Matteo

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Deep Learning for Coral Classification by Mahmood, A., Bennamoun, M., An, Senjian, Sohel, F., Boussaid, F., Hovey, R., Kendrick, G., Fisher, R.

“…This chapter presents a summary of the use of deep learning for underwater image analysis, in particular for coral species classification. …”
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Vehicle Detection in Deep Learning by Teoh, Per Nian

“…The objective of this project is vehicle detection with deep learning, so, vehicles data set from highway, urban road and housing area had been collected and applied to the deep learning and computer vision algorithms. …”
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Deep learning for image classification by Koi, Chin Chong

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Deep learning for emotional speech recognition by Alhamada, M. I., Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha

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Financial market predictions with deep learning by Yap, Zhong Jing, Dharini Pathmanathan

“…However, with the growing involvement of computational methods in econometrics, models built with deep learning neural networks have been more accurate in capturing the dynamics of financial market data compared to the commonly used time series models such as the ARIMA and GARCH models. …”
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Ensemble deep learning for tuberculosis detection by Ahmad Hijazi, Mohd Hanafi, Yang, Leong Qi, Alfred, Rayner, Mahdin, Hairulnizam, Yaakob, Razali

“…In this paper, an approach to detect TB, that does not require segmentation of objects of interest, based on ensemble deep learning, is presented. Evaluation on publicly available datasets show that the proposed approach produced a model that recorded the best accuracy, sensitivity and specificity of 91.0%, 89.6% and 90.7% respectively.…”
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Face recognition using deep learning by Ooi, Zi Xen

“…In this project, the real-time face recognition system is implemented using pretrained deep learning models with CCTV (Closed-Circuit Television) camera. …”
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Smart Security Camera With Deep Learning by Wong, Yee Cheng

“…Different from existing works, the designed deep learning model is deployed on a resource limited Raspberry Pi 3 B+, inference of which is handled by an accelerator called Intel Movidius Neural Compute Stick 2 (NCS2). …”
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Deep learning model for opinion mining by Lee, Hao Jie

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Deep learning for EEG data analysis by Cheah, Kit Hwa

“…While an EEG has high potential to serve in medicine (e.g. disease diagnosis, prognosis, pre-disease risk identification), psycho-physiology (e.g. mood classification, stress monitoring, alertness monitoring, sleep stage monitoring), brain-computer interface application (e.g. thought typing, prosthesis control), and many other areas, the classical design of EEG feature extraction algorithms and EEG classifiers is time-consuming and challenging to fully tap into the vast data embedded in the EEG. Deep learning (or deep neural network) which enables higher hierarchical representation of complex data has been strongly suggested by a wide range of recent research that these deep architectures of artificial neural network generally outperform the classical EEG feature extraction algorithms or classical EEG classifiers. …”
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Deep learning for environmentally robust speech recognition by Alhamada, A. I., Khalifa, Othman Omran, Abdalla, Awad H.

“…Deep learning is an emerging technology that is one of the most promising areas of artificial intelligence. …”
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Deep learning methods for facial expression recognition by Mohammad Masum Refat, Chowdhury, Zainul Azlan, Norsinnira

“…Deep learning is very popular methods for facial expression recognition (FER) and classification. …”
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Deep learning for multi-task plant phenotyping by Pound, Michael P., Atkinson, Jonathan A., Wells, Darren M., Pridmore, Tony P., French, Andrew P.

“…We then present a deep learning approach capable of accurately localising wheat spikes and spikelets, despite the varied nature of this dataset. …”
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Small Face Detection with Deep Learning Approaches by Tuli, Sabrina Hoque

“…This thesis considers small face detection in uncontrolled environments and develops robust deep learning approaches for this challenging problem. …”
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Advanced Deep Learning for Medical Image Analysis by Nugroho, Bayu Adhi

“…The application of deep learning is evolving, including in expert systems for healthcare, such as disease classification. …”
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Herbal Plant Identification Using Deep Learning by Md., Fouziya, Ch., Divija, K. Lakshmi, Priyanka, G., Swathi, N., Revathi

“…Technological advances such as deep learning have provided a way to automate this work with improved accuracy. …”
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An investigation of deep learning for image processing applications by Hou, Xianxu

Subjects: “…deep learning; image processing…”
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Deep learning for real world face alignment by Bulat, Adrian

“…In this thesis, we successfully address a series of such challenges in the area of face alignment and super-resolution, significantly pushing the state-of-the-art by proposing novel deep learning-based architectures specially tailored for fine grained recognition tasks. …”
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