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

FiReT: A Neural Radiance Fields Framework for Wireless Field Reconstruction and Transmitter Placement

Negar Pouya - Armin Soleymani - Gholamreza Moradi - Farzaneh Abdollahi

بهبود دقت و کارایی در شبکه‌های عصبی کانولوشنی با استفاده از روش‌های محاسبات تقریبی

محمدرضا رفیعی نژاد - محمدرضا بینش مروستی - سید امیر اصغری

یک روش خوشه بندی گره ها برای شبکه های حسگر بی‌سیم با هدف بهبود متوازن سازی بار مبتنی بر تکنیک تاپسیس

راضیه حسین رضایی - فهیمه یزدان پناه

Adaptive Stopping Criteria-based A-RANSAC algorithm in Copy Move Image Forgery detection

ZAHRA HOSEINNEJAD - Dr MEHDI NASRI

Scattering Wavelet-Based Image Quality Assessment Metric for Medical Images

Sina Omidvar - Jamshid Shanbehzadeh

Short-Term Traffic Flow Prediction Based on a Recurrent Deep Neural Networks: Study in Tehran

Dr Monireh عبدوس - Taha Vajed Samei

Real-Time EEG-Based Analysis Of Stress-Inducing Stimuli

Mohsen Mahmoudi - Fattaneh Taghiyareh - Yasamin Akhavein - Elnaz Ghorbani

Aspect-Based Sentiment Analysis of After-Sales Service Quality: A Case Study of Snowa and Competitors Using Digikala Reviews

Safiyeh Samadanian - Marjan Kaedi

Improving Drug-Target Interaction Prediction Using Enhanced Feature Selection

Maryam Taheri - Mohammad Reza Keyvanpour - Mohadeseh Saadat Mousavi

A Novel Service Deployment Policy in Fog Computing Considering The Degree of Availability and Fog Landscape Utilization Using Multiobjective Evolutionary Algorithms

Maryam Eslami - Dr Mehdi Sakhaei-nia

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0