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A Comparative Study of Detecting Twitter Spam using Deep Learning
AbstractThis study addresses the escalating challenge of Twitter spam detection by leveraging the power of Convolutional Neural Networks (CNNs). With the proliferation of spam content on social media platforms, traditional machine…
Effective Ransomware Attacks Detection Using CNN Algorithm
This study identified ransomware threats in social media platforms by evaluating the performance of Assessing different machine-learning algorithms in various aspects of detecting and classifying ransomware content. The primary problem …
Improving Vehicle Detection in Challenging Datasets: YOLOv5sand Frozen Layers Analysis
Small datasets and imbalanced classes often cause problems when used as primary research material. In the case of classification and object detection, some researchers proposed Transfer Learning (TF) with several frozen layers. …
Enhancing Cardiovascular Diseases Classification using CNN Algorithm
This study focuses on using machine learning algorithms to detect cardiovascular diseases, addressing the critical need for accurate and timely diagnosis of these conditions, which are significant contributors to global morbidity and mortality. The…
Comparative Approachfor Intrusion Detection using CNN
n the realm of computer network security, the role of intrusion detection is crucial for safeguarding systems against various threats. However, with the advancement of intrusion techniques, traditional detection methods have…
Robust Stock Price PredictionusingGated Recurrent Unit (GRU)
Forecasting the direction of price movement of the stock market could yield significant profits. Traders use technical analysis, which is the study of price by scrutinizing past prices, to forecast the future price of the nickel stock price.…
IDS-GAN: Stepping up Intrusion Detection Methodusing GAN Algorithm
Many computer networkthreats causethe security aspectto becomethe most critical problem. Theintrusion detection system is a widely used practical security tool to prevent malicious traffic from penetrating networks and systems. To solve the issue, …
ConFruit: Effective Fruit Classification Using CNN Algorithm
Fruit is a type of food rich in nutrients, vitamins, and minerals, making it highly beneficial for daily consumption. However, the wide variety of available fruits can make it challenging for consumers to select and purchase the right ones. In…
Implementation of Deep Learning for Classification of MushroomUsing the CNN Algorithm
Mushroomsare a type of low-level plant that lacks chlorophyll. One of the advantages of fungiis that they are commonly utilized as food items in the community. This paper discussedthe implementation of CNN for the classification of…
FaceGAN: Robust Face Recognitionusing Generative Adversarial Networks (GAN) Algorithm
Generative Adversarial Networks (GANs)are a type of neural network that can generate synthetic images that are often indistinguishable from real ones. The article explores GAN to augment existing datasets or generate new onesfor training…