Search Results - deep learning technique

Deep learning-based recommendation system: systematic review and classification by Li, Caiwen, Ishak, Iskandar, Ibrahim, Hamidah, Zolkepli, Maslina, Sidi, Fatimah, Li, Caili

“…Our review paper offers insights into the deep learning techniques used across different recommendation systems and provides suggestions for future research. …”
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Malaria parasite detection from human blood smear images using deep learning techniques by Teow, Yi Jia

“…Finally, the study discusses the potential for future research in deep learning-based malaria detection, including the use of transfer learning, ensemble models, and other deep learning techniques. …”
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Detecting head in pillow defect (HIP) by using deep learning and image processing technique by Tan, Wei Jin

“…Deep learning has very great potential of wide adoption in various industries. …”
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Deep learning applications for oil palm tree detection and counting by Kuryati, Kipli, Salleh, Osman, Annie, Joseph, Hushairi, Zen, Dayang Nur Salmi Dharmiza, Awang Salleh, Asrani, Lit, Chin, Kho Lee

“…The gaps and opportunities for research in oil palm plantations based on deep learning techniques will also be discussed.…”
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A comprehensive review of image denoising in deep learning by Jebur R.S., Zabil M.H.B.M., Hammood D.A., Cheng L.K.

Subjects: “…Deep learning…”

Various Deep Learning Methods for Hyperspectral Images by Sivaram M., Shobana S.J., Khan M., Ramakrishnan J., Goel P.M., Maseleno A.

“…Image processing; Learning systems; Remote sensing; Spectroscopy; Hyper-spectral imageries; Image processing technique; Learning methods; Learning process; Learning techniques; Models of learning; Remote sensing applications; Spectral channels; Deep learning…”

Distributed Denial of Service Attack Detection in IoT Networks using Deep Learning and Feature Fusion: A Review by Nuhu Ahmad, Abdulhafiz, Anis Farihan, Mat Raffei, Mohd Faizal, Ab Razak, Ahmad, Abubakar

“…Importantly, it highlights the current challenges and limitations of these deep learning techniques based on the literature surveyed. …”
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GMFR-CNN: An Integration of Gapped Motif Feature Representation and Deep Learning Approach for Enhancer Prediction by Yu, Shiong Wong, Nung, Kion Lee, Norshafarina, Omar

“…Breakthrough in deep learning technique certainly improves the performance in the near future.…”
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GMFR-CNN: An Integration of Gapped Motif Feature Representation and Deep Learning Approach for Enhancer Prediction by Yu, Shiong Wong, Nung, Kion Lee, Norshafarina, Omar

“…Breakthrough in deep learning technique certainly improves the performance in the near future.…”
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Advanced technology in agriculture industry by implementing image annotation technique and deep learning approach: a review by Mamat, Normaisharah, Othman, Mohd, Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Belhaouari, Samir Brahim, Mamat, Normahira, Mohd Hussein, Shamsul Faisal

“…Furthermore, this review helps to assist researchers to gain a deeper understanding and future application of deep learning in agriculture. According to all of the articles, the deep learning technique has successfully created significant accuracy and prediction in the model utilized. …”
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Distributed denial of service attack Detection in IoT networks using deep learning and feature fusion : A review by Nuhu Ahmad, Abdul hafiz, Anis Farihan, Mat Raffei, Mohd Faizal, Ab Razak, Ahmad Syafadhli, Abu Bakar

“…Importantly, it highlights the current challenges and limitations of these deep learning techniques based on the literature surveyed. …”
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Human activity recognition with smartphone and wearable sensors using deep learning techniques: a review by Ramanujam, E., Perumal, Thinagaran, Padmavathi, S.

“…The proposed techniques are categorized into conventional and hybrid deep learning models described with its uniqueness, merits, and limitations. …”
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A Comprehensive Review on Deep Learning Assisted Computer Vision Techniques for Smart Greenhouse Agriculture by Akbar, Jalal Uddin Md, Syafiq Fauzi, Kamarulzaman, Abu Jafar, Md Muzahid, Rahman, Md. Arafatur, Uddin, Mueen

“…This paper provides a focused review of recent advancements in deep learning-enabled computer vision techniques tailored specifically for greenhouse environments. …”
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Predicting COVID-19 trends: a deep dive into time-dependent SIRSD with deep learning technique / Abdul Basit ... [et al.] by Basit, Abdul, Mohamad Zain, Jasni, Jumaat, Abdul Kadir, Hamdan, Nur’Izzati, Mojahid, Hafiza Zoya

“…This model proposes a combination of deep learning techniques, specifically Feed-Forward Neural Networks (FFNN) and Recurrent Neural Networks (RNN), with an epidemiological mathematical framework. …”
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Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification by Ling, Hui Yean

“…Keywords: Civil engineering, Photographic processing, Quantitative methods, Automation, Deep Learning…”
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A comparative analysis of classical machine learning and deep learning techniques for predicting lung cancer survivability by Huang S., Arpaci I., Al-Emran M., K?l?�arslan S., Al-Sharafi M.A.

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Deep learning faster region-based convolutional neural network technique for oil palm tree counting by Xinni, Liu, Kamarul Hawari, Ghazali, Fengrong, Han, Izzeldin, I. Mohd

“…With the current development of image processing techniques, deep learning and machine learning methods have achieved tremendous performance specifically in aerial view image classification and detection. …”
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Deep learning for hate speech detection on X (Twitter) with different word embedding techniques by Thong , Wei Xin

“…This project was conducted to develop hate speech detection models using several deep learning techniques with different word embedding techniques to detect English hate speech tweets on X (Twitter) with the goal of enhancing the online communication environment and reducing the suicide rate due to cyberbullying. …”
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A review of deep learning and machine learning techniques for hydrological inflow forecasting by Latif S.D., Ahmed A.N.

“…This review paper tends to broadcast more of the intriguing interest in reservoir inflow prediction utilizing deep learning and machine learning algorithms. The AI models utilized for different hydrology sectors, as well as the most prevalent machine learning techniques, will be explored in this thorough study, which divides AI techniques into two primary categories: deep learning and machine learning. …”

MRI brain tumor medical images analysis using deep learning techniques: a systematic review by Al-Galal, Sabaa Ahmed Yahya, Alshaikhli, Imad Fakhri Taha, Abdulrazzaq, Mohammed Muayad,

“…Deep Learning (DL) techniques have been recently used for medical image analy- sis, and this paper focuses on DL in the context of analyzing Magnetic Resonance Imaging (MRI) brain medical images. …”
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