Summary of results for multi-label classification performance and model quantization for various feature engineering and dimensionality reduction experiments.

Summary of results for multi-label classification performance and model quantization for various feature engineering and dimensionality reduction experiments.

<p>Summary of results for multi-label classification performance and model quantization for various feature engineering and dimensionality reduction experiments.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Fayaz Hassan (20685406) (author)
مؤلفون آخرون:	Zafi Sherhan Syed (20685409) (author), Aftab Ahmed Memon (20685412) (author), Saad Said Alqahtany (20685415) (author), Nadeem Ahmed (10571900) (author), Mana Saleh Al Reshan (17811310) (author), Yousef Asiri (20685418) (author), Asadullah Shaikh (3095532) (author)
منشور في:	2025
الموضوعات:	Ecology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified principal component analysis intelligent transport applications low parameter count based feature selection recognizing malicious traffic malicious traffic identification smaller model size malicious traffic model size smaller number smaller dimensionality feature matrix feature engineering weights need vital aspect vehicular networks vehicular network turn means training quantization safety ensured results demonstrate proposed low one aspect iot devices intrusion detection intended use hybrid approach exponential growth easily compromised dimensionality reduction dense layers complexity models also reduces 9 kb 43 %. 09 kb
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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