Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network
Abstract (Aim) COVID-19 is an infectious disease spreading to the world this year. In this
study, we plan to develop an artificial intelligence based tool to diagnose on chest CT …
study, we plan to develop an artificial intelligence based tool to diagnose on chest CT …
Machine learning in digital forensics: a systematic literature review
T Nayerifard, H Amintoosi, AG Bafghi… - arXiv preprint arXiv …, 2023 - arxiv.org
Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …
complexity of digital crimes. On the other hand, the growing volume of data and …
[HTML][HTML] A comprehensive analysis of the role of artificial intelligence and machine learning in modern digital forensics and incident response
In the dynamic landscape of digital forensics, the integration of Artificial Intelligence (AI) and
Machine Learning (ML) stands as a transformative technology, poised to amplify the …
Machine Learning (ML) stands as a transformative technology, poised to amplify the …
Evolutionary weighted broad learning and its application to fault diagnosis in self-organizing cellular networks
As a novel neural network-based learning framework, a broad learning system (BLS) has
attracted much attention due to its excellent performance on regression and balanced …
attracted much attention due to its excellent performance on regression and balanced …
Byte embeddings for file fragment classification
ME Haque, ME Tozal - Future Generation Computer Systems, 2022 - Elsevier
In digital forensics, file carving is the process of recovering files on a storage media in part or
in whole without any file system information. An important problem in file carving is the …
in whole without any file system information. An important problem in file carving is the …
Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds
Chest disease refers to a wide range of conditions affecting the lungs, such as COVID-19,
lung cancer (LC), consolidation lung (COL), and many more. When diagnosing chest …
lung cancer (LC), consolidation lung (COL), and many more. When diagnosing chest …
Community-based dandelion algorithm-enabled feature selection and broad learning system for traffic flow prediction
X Liu, X Qin, MC Zhou, H Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In an intelligent transportation system, accurate traffic flow prediction can provide significant
help for travel planning. Even though some methods are proposed to do so, they focus on …
help for travel planning. Even though some methods are proposed to do so, they focus on …
ByteNet: Rethinking multimedia file fragment classification through visual perspectives
Multimedia file fragment classification (MFFC) aims to identify file fragment types, eg,
image/video, audio, and text without system metadata. It is of vital importance in multimedia …
image/video, audio, and text without system metadata. It is of vital importance in multimedia …
ByteRCNN: Enhancing File Fragment Type Identification with Recurrent and Convolutional Neural Networks
K Skračić, J Petrović, P Pale - IEEE access, 2023 - ieeexplore.ieee.org
File fragment type identification is an important step in file carving and data recovery.
Machine learning techniques, especially neural networks, have been utilized for this …
Machine learning techniques, especially neural networks, have been utilized for this …
Combining raw data and engineered features for optimizing encrypted and compressed internet of things traffic classification
MM Saleh, M AlSlaiman, MI Salman, B Wang - Computers & Security, 2023 - Elsevier
Abstract The Internet of Things (IoT) is used in many fields that generate sensitive data, such
as healthcare and surveillance. The increased reliance on IoT raised serious information …
as healthcare and surveillance. The increased reliance on IoT raised serious information …