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Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm
المؤلفون المشاركون
Zhang, Yudong
Han, Liangxiu
Muhammad, Khan
Wang, Shui-Hua
Lv, Yiding
Sui, Yuxiu
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-01-17
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
The alcohol use disorder (AUD) is an important brain disease, which could cause the damage and alteration of brain structure.
The current diagnosis of AUD is mainly done manually by radiologists.
This study proposes a novel computer-vision-based method for automatic detection of AUD based on wavelet Renyi entropy and three-segment encoded Jaya algorithm from MRI scans.
The wavelet Renyi entropy is proposed to provide multiresolution and multiscale analysis of features, describe the complexity of the brain structure, and extract the distinctive features.
Grid search method was used to select the optimal wavelet decomposition level and Renyi order.
The classifier was constructed based on feedforward neural network and a three-segment encoded (TSE) Jaya algorithm providing parameter-free training of the weights, biases, and number of hidden neurons.
We have conducted the experimental evaluation on 235 subjects (114 are AUDs and 121 healthy).
k-fold cross validation has been used to avoid overfitting and report out-of-sample errors.
The results showed that the proposed method outperforms four state-of-the-art approaches in terms of accuracy.
The proposed TSE-Jaya provides a better performance, compared to the conventional approaches including plain Jaya, multiobjective genetic algorithm, particle swarm optimization, bee colony optimization, modified ant colony system, and real-coded biogeography-based optimization.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Shui-Hua& Muhammad, Khan& Lv, Yiding& Sui, Yuxiu& Han, Liangxiu& Zhang, Yudong. 2018. Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm. Complexity،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1133565
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Shui-Hua…[et al.]. Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm. Complexity No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1133565
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Shui-Hua& Muhammad, Khan& Lv, Yiding& Sui, Yuxiu& Han, Liangxiu& Zhang, Yudong. Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm. Complexity. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1133565
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1133565
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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