Search Results - evolution classification techniques

Assessment of river plan change using RS and GIS technique by Mohd Khairul Amri, Kamarudin, Azman, Azid, Roslan, Umar

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Feature selection optimization using hybrid relief-f with self-adaptive differential evolution by Zainudin, Muhammad Noorazlan Shah, Sulaiman, Md. Nasir, Mustapha, Norwati, Perumal, Thinagaran, Ahmad Nazri, Azree Shahrel, Mohamed, Raihani, Abd Manaf, Syaifulnizam

“…Hence, feature selection is embedded to select the most meaningful features based on their rank. Differential evolution (DE) is one of the evolutionary algorithms that are widely used in various classification domains. …”
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A review of homogenous ensemble methods on the classification of breast cancer data by Nur Farahaina, Idris, Mohd Arfian, Ismail

“…As evolution happens, ensemble methods are being proposed to achieve better performance in classification. …”
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A review of homogenous ensemble methods on the classification of breast cancer data by Nur Farahaina, Idris, Mohd Arfian, Ismail

“…As evolution happens, ensemble methods are being proposed to achieve better performance in classification. …”
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Finding an effective classification technique to develop a software team composition model by Gilal, Abdul Rehman, Jaafar, Jafreezal, Capretz, Luiz Fernando, Omar, Mazni, Basri, Shuib, Abdul Aziz, Izzatdin

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Finding an effective classification technique to develop a software team composition model by Gilal, A.R., Jaafar, J., Capretz, L.F., Omar, M., Basri, S., Aziz, I.A.

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Finding an effective classification technique to develop a software team composition model by Gilal, A.R., Jaafar, J., Capretz, L.F., Omar, M., Basri, S., Aziz, I.A.

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Assessing the evolution of paddy cultivation in kota belud, sabah using gis and remote sensing techniques by Lindah Roziani Jamru, Mohamad Nazril Sharil, Mohamad Pirdaus Yusoh

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Email spam classification based on deep learning methods: A review by Tusher, Ekramul Haque, Mohd Arfian, Ismail, Anis Farihan, Mat Raffei

“…Deep learning has become a potent collection of techniques for addressing intricate issues such as spam classification in recent times. …”
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Analysis on target detection and classification in LTE based passive forward scattering radar by Raja Abdullah, Raja Syamsul Azmir, Abdul Aziz, Noor Hafizah, Abdul Rashid, Nur Emileen, Salah, Asem Ahmad, Hashim, Fazirulhisyam

“…By utilizing the forward scattering technique and procedure into the specific mode of PBR can provide an improvement in target detection and classification. …”
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Stock market turning points rule-based prediction / Lersak Photong … [et al.] by Photong, Lersak, Sukprasert, Anupong, Boonlua, Sutana, Ampant, Pravi

“…Results show that the best feature selection is term frequency and trimming of the feature with a frequency greater than 95%. The best news classification approach is based on Deep Learning techniques that provide the most accurate classification. …”
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Additive manufacturing cost estimation models—a classification review by Abdul Kadir, Aini Zuhra, Yusof, Yusri, Wahab, Md Saidin

“…Accordingly, the paper compiles different aspects of the cost estimation classification technique and provides definitions of some of the key terminologies. …”
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Data fusion technique using wavelet transform and taguchi methods for automatic landslide detection from airborne laser scanning data and QuickBird satellite imagery by Pradhan, Biswajeet, Jebur, Mustafa Neamah, Mohd Shafri, Helmi Zulhaidi, Tehrany, Mahyat Shafapour

“…The Taguchi technique was employed to optimize the segmentation parameters, whereas the rule-based technique was used for object-based classification. …”
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Object detection and classification using few-shot learning in smart agriculture: A scoping mini review by Nitiyaa Ragu, Jason Teo

“…Machine learning has achieved significant advances in the field of digital image processing in current years, significantly outperforming previous techniques. One of the techniques that is popular is Few-Shot Learning (FSL). …”
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Classification of Immunosignature Using Random Forests for Cancer Diagnosis by Zarzar, Mouayad, Razak, Eliza, Htike@Muhammad Yusof, Zaw Zaw, Yusof, Faridah

“…Altogether, the empirical results show that the combination of random subset reduction technique with the Random Forest classification method offers a promising tool that is masterful in the diagnosis of carcinoma. …”
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Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

“…We present another modification of fuzzy decision tree (FDT) classification techniques that aims to combine symbolic decision trees in data classification with approximate reasoning offered by fuzzy representation. …”
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Multi-tier classification based on sentiment, type, emotion and purpose for online diabetes community / Wandeep Kaur Ratan Singh by Wandeep Kaur , Ratan Singh

“…The proposed framework was able to improve overall classification accuracy within each of its tiers and using a multi-tier framework, it was able to remove posts that do not contribute towards classification within the upper layers thus contributing to a more refined dataset for classification within its lower tiers. …”
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Classification of plant health (capsicum frutescens) normalize differences vegetation index using image processing by Nurin Awanis, Mohd Rudin, Suhaimi, Puteh, Jessnor Arif, Mat Jizat, Ismail, Mohd Khairuddin, Anwar P. P., Abdul Majeed, Mohd Azraai, Mohd Razman

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Deep learning detector for pests and plant disease recognition by Ileladewa, Oluwatimilehin Adekunle

“…And developing a quick and accurate model could help in detecting pests and diseases in plants. Meanwhile, evolution in deep convolutional neural networks for image classification has rapidly improved the accuracy of object detection, classification and system recognition. …”
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Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy by Al-Dabbagh, Rawaa Dawoud, Neri, Ferrante, Idris, Norisma, Baba, Mohd Sapiyan

“…Differential evolution (DE) is a simple yet powerful population-based metaheuristic. …”
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