Search Results - solution ((classification techniques) OR (learning techniques))

Deep learning-based item classification for retail automation by Ling, Ji Xiang

“…This project focuses on developing a deep learning-based system for retail item classification. …”
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A survey and analysis of feature selection techniques in machine learning for IoT device classification within smart buildings by Waseem, Quadri, Wan Isni Sofiah, Wan Din, Azamuddin, Ab Rahman, Naqeeb Khan, Sundas, Busaeed, Raed Abdullah Abobakr, Fairooz, Towfeeq

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Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issues, and knowledge gaps in fundus medical images by Abdulsahib A.A., Mahmoud M.A., Mohammed M.A., Rasheed H.H., Mostafa S.A., Maashi M.S.

Student classification in adaptive hypermedia learning system using neural network by Yusob, Bariah, Ahmad, Nor Bahiah, Abd Halim, Shahliza, Yusof, Norazah, Shamsuddin, Siti Mariyam

“…Further, the data collected using both techniques will be integrated to form a user profile that will be used for classification using simple back propagation neural network.…”
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Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif by Jantan, Hamidah, Mat Yusof, Norazmah, Abdul Latif, Mohd Hanapi

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Classification technique for determining the healthiness of coconut tree / Nik Ahmad Faris Nik Effendi by Nik Effendi, Nik Ahmad Faris

“…Remote Sensing satellite image can provide user requirement data and has the ability to acquire data in narrow and contiguous spectral bands, enabling to detect the healthiness and pest infestation by using remote sensing technique. In this study, two different classification technique used to detect and classify the healthiness of coconut trees such as unsupervised classification method based on Normalized Different Vegetation Index (NDVI) value and supervised classification method based on Maximum Likelihood (ordinary method) and Support Vector Machine (machine learning). …”
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Improving Accuracy of Imbalanced Clinical Data Classification Using Synthetic Minority Over-Sampling Technique by Mumtazimah, Mohamad, Mohd, F, Abdul Jalil, M, Noora, N.M.M, Ismail, S, Yahya, W.F.F

“…Synthetic Minority Over-sampling technique (SMOTE), an over-sampling technique is used in this study for dealing the imbalanced dataset by add the number of instances of a minority class. …”
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Fighting video analysis employing computer vision technique by Foo, Wen Shun

“…This project is about analysing and classifying the fighting video from the UCF_Crimes dataset to explore solutions to detect fighting events employing computer vision technique. …”
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Mold defects detection in painting using artificial intelligence / Mohamad Hilman Nordin by Mohamad Hilman , Nordin

“…The third technique is a machine learning classification that utilizes the feature extraction strength of the DLT. …”
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BFEDroid: A Feature Selection Technique to Detect Malware in Android Apps Using Machine Learning by Chimeleze C., Jamil N., Ismail R., Lam K.-Y., Teh J.S., Samual J., Akachukwu Okeke C.

Survey on highly imbalanced multi-class data by Abdul Hamid, Mohd Hakim, Yusoff, Marina, Mohamed, Azlinah

“…Machine learning technology has a massive impact on society because it offers solutions to solve many complicated problems like classification, clustering analysis, and predictions, especially during the COVID-19 pandemic. …”
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Integrating deep learning and machine learning for ceramic artifact classification and market value prediction by Hu, Yanfeng, Wu, Siqi, Ma, Zhuoran, Cheng, Si

“…This study proposes an intelligent framework for the automated classification and valuation of ceramic artifacts, integrating deep learning and machine learning techniques. …”
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Feature and Instances Selection for Nearest Neighbor Classification via Cooperative PSO by Sharifah Sakinah, Syed Ahmad

“…The reduction method contains two techniques, namely features reduction and data reduction which are commonly applied to a classification problem. …”
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Malicious URL classification using artificial fish swarm optimization and deep learning by Mustafa Hilal, Anwer, Hassan Abdalla Hashim, Aisha, G. Mohamed, Heba, K. Nour, Mohamed, M. Asiri, Mashael, M. Al-Sharafi, Ali, Othman, Mahmoud, Motwakel, Abdelwahed

“…To attain this, AFSADL-MURLC model initially carries out data preprocessing and makes use of glove-based word embedding technique. In addition, the created vector model is then passed onto Gated Recurrent Unit (GRU) classification to recognize the malicious URLs. …”
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Transformer-Based Model for Malicious URL Classification by Do N.Q., Selamat A., Lim K.C., Krejcar O., Ghani N.A.M.

“…However, the current phishing URL detection solutions based on supervised learning use labeled data for training and classification, leading to the dependency on known attacking patterns. …”

Multi-Organ Plant Classification Based on Convolutional and Recurrent Neural Networks by Lee, Sue Han, Chan, Chee Seng, Remagnino, Paolo

“…Although additional data provide more information that might help to disambiguate between species, the variability in shape and appearance in plant organs also raises the degree of complexity of the problem. Despite promising solutions built using deep learning enable representative features to be learned for plant images, the existing approaches focus mainly on generic features for species classification, disregarding the features representing plant organs. …”
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Accelerated mine blast algorithm for ANFIS training for solving classification problems by Mohd Salleh, Mohd Najib, Hussain, Kashif

“…The proposed variant, so called Accelerated MBA (AMBA), replaces the previous best solution with the available candidate solution in IMBA. …”
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Study on crack detection using image processing techniques and deep learning – a survey by Saleem, Muhammad Asif, Senan, Norhalina, Ahmad, Rehan

“…So it very well may be done consequently by utilizing image processing. Deep learning algorithms have been used for the solution of multiple issues in the area of image classification. …”
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Applying deep learning techniques to segmentize and classify tongue regions for traditional and complementary medicine (TCM) diagnosis by Yeap, Chun Hong

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The effect of pre-processing techniques and optimal parameters on BPNN for data classification by HUSSEIN, AMEER SALEH

“…It’s data-driven, self-adaptive, and non-linear capabilities channel it for use in processing at high speed and ability to learn the solution to a problem from a set of examples. …”
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