کنفرانس بین المللی فناوری اطلاعات و دانش

English

صفحه اصلی / چهاردهمین کنفرانس بین المللی فناوری اطلاعات و دانش

Advanced SMS Spam Detection using Deep Complex Models and Sine-Cosine Algorithm

نویسندگان :

Sepehr Rezaei¹ Mohammadreza Shams² Mohsen Alambardar Meybodi³

1- University of Isfahan 2- University of Isfahan 3- University of Isfahan

کلمات کلیدی :

Spam Detection،Sine-Cosine Algorithm،Complex Model،Deep Learning

چکیده :

With the increasing use of mobile phones and messaging services, SMS spam has become a significant issue for users. In this paper, we propose a novel approach to tackle this problem by using Sine-Cosine Algorithm (SCA) and Complex Multi-Layer Perceptron (C-MLP). Specifically, we apply the SCA method to reduce the dimensionality of the feature space and C-MLP to improve the performance of spam detection. Also, in this paper, we investigate the effectiveness of different classification algorithms, including Support Vector Machines, Random Forests, K-nearest neighbors, Naive Bayes, bagging, and voting approaches. Our experimental results show that the proposed approach achieves high accuracy and outperforms existing methods in terms of both accuracy and F-measure. The proposed approach can be helpful in designing effective SMS spam filters and improving the overall user experience.

لیست مقالات

لیست مقالات بایگانی شده

Presentation of a New Decoder Based on Quantum Cellular Automata Technology Along with an Analysis of Energy Consumption

- - -

A Community-Based Method for Identifying Influential Nodes using Network Embedding

Nargess Vafaei - Dr Mohammad Reza Keyvanpour

Generalized Self-Attentive Spatiotemporal GCN with OPTICS Clustering for Recommendation Systems

Saba Zolfaghari - Seyed Mohammad Hossein Hasheminejad

پیش‌بینی میزان بقای بیماران مبتلا به سرطان ریه با استفاده از ترکیب کارآمد روش‌های داده‌کاوی و بهینه‌سازی رقابت استعماری

رخشان رمضانی سرچشمه - مهدی هاشم‌زاده - امین گلزاری اسکوئی

Enhancing Software Effort Estimation with an Integrated Approach of Particle Swarm Optimization and Genetic Algorithms in Analogy-based Method

Ehsan Nasr - Keyvan Mohebbi

تخلیه‌بار محاسباتی ریزدانه تحرک‌آگاه در رایانش لبه برای اینترنت اشیاء

شکوفه نوروزی - دکتر زینب موحدی شکوفه نوروزی - زینب موحدی -

Face Recognition Based on Local Statistical Features and Artificial Neural Network

Mehdi Moghimi - Dr Hadi Grailu

Architectural Insights: Comparing Weight Stationary and Output Stationary Systolic Arrays for Efficient Computation

Mahdi Kalbasi

ElectroCNN: Regressive CNN-based Energy Consumption Forecasting Leveraging Weather Data

Dharmi Patel - Mann Patel - Krisha Darji - Rajesh Gupta - Sudeep Tanwar - Jitendra Bhatia - Hossein Shahinzadeh

Combinatorial Auction Based on Social Choice in the Internet of Things

Maede Esmaeili - Faria Nassiri-Mofakham - Fatemeh Hassanvand

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.3.1