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Topic Review
The Taxonomy of Malware Analysis and Detection Approaches
The evolution of recent malicious software with the rising use of digital services has increased the probability of corrupting data, stealing information, or other cybercrimes by malware attacks. Therefore, malicious software must be detected before it impacts a large number of computers. While malware analysis is taxonomy and linked to the data types that are used with each analysis approach, malware detection is introduced with a deep taxonomy where each known detection approach is presented in subcategories and the relationship between each introduced detection subcategory and the data types that are utilized is determined. 
  • 1.5K
  • 14 Sep 2022
Topic Review
The Synergistic Relationship between AI and the Economy
Artificial intelligence (AI) is transforming various aspects of the economy, including manufacturing, healthcare, finance, and transportation. AI-powered systems are augmenting human decision-making, reducing operational costs, enhancing productivity, and creating new business models. However, the integration of AI into the economy also poses several challenges, such as job displacement, economic inequality, and ethical concerns. This research explores the complex relationship between AI and the economy, highlighting the opportunities and challenges that arise from their synergy.
  • 374
  • 18 May 2023
Topic Review
The Sims 3 Stuff Packs
Stuff packs are minor expansion packs for The Sims 3 that add new items, clothing, and furniture to the game without implementing any significant changes to gameplay.
  • 4.8K
  • 11 Nov 2022
Topic Review
The Sims 2 Stuff Packs
Stuff packs are minor expansion packs for The Sims 2 that add new items, clothing, and furniture to the game without implementing any significant changes to gameplay.
  • 4.7K
  • 17 Nov 2022
Topic Review
The Simple Function Point (SFP) Method
The Simple Function Point (SFP) method is a lightweight Functional Measurement Method. The Simple Function Point method was designed to be compliant with the ISO14143-1 standard and compatible with the International Function Points User Group (IFPUG) Function Point Analysis (FPA) method. The original method is described in a manual produced by the Simple Function Point Association: the Simple Function Point Functional Size Measurement Method Reference Manual is available under the Creatives Commons Attribution-NoDerivatives 4.0 International Public License.
  • 879
  • 27 Sep 2022
Topic Review
The Role of AI in Renewable Energy
Renewable energy sources such as solar and wind power are becoming increasingly important as we seek to reduce our reliance on fossil fuels and mitigate the effects of climate change. At the same time, artificial intelligence (AI) is rapidly advancing and finding applications in a wide range of fields, including renewable energy. The role of AI in the future of renewable energy, including its potential to optimize energy systems, improve the efficiency of renewable energy technologies, and reduce maintenance costs were described. The open challenges and future directions for the use of AI in the renewable energy sector, as well as the countries that are pioneers in this field were discussed.
  • 269
  • 22 May 2023
Topic Review
The Robustness of Machine Learning in Network Security
Utilizing machine learning (ML) based methodologies for Network Intrusion Detection Systems (NIDSs) engenders valid concerns, primarily stemming from the inherent vulnerabilities of current ML models to various security threats.
  • 349
  • 08 Nov 2023
Topic Review
The Rise of Adversarial Machine Learning
Internet of Things (IoT) technologies serve as a backbone of cutting-edge intelligent systems. Machine Learning (ML) paradigms have been adopted within IoT environments to exploit their capabilities to mine complex patterns. Despite the reported promising results, ML-based solutions exhibit several security vulnerabilities and threats. Specifically, Adversarial Machine Learning (AML) attacks can drastically impact the performance of ML models. It also represents a promising research field that typically promotes novel techniques to generate and/or defend against Adversarial Examples (AE) attacks.
  • 242
  • 29 May 2023
Topic Review
The Principles of Blockchain Technology in Healthcare
A blockchain may be seen as a distributed ledger that allows peers to exchange data. It was launched with Bitcoin and resolved a persistent issue: the double-spend problem. With Bitcoin, this is accomplished by a majority consensus of so-called mining nodes and the addition of legitimate transactions to the blockchain. Bitcoin was the first to use blockchain technology. Therefore, introducing a coin is not required to utilize blockchain and develop decentralized apps. 
  • 319
  • 26 Jul 2023
Topic Review
The Modulation Recognition Method Based on Deep Learning
Deep learning is a powerful artificial intelligence technology that can learn features from a large amount of data and fit nonlinear networks, so it is widely used in the fields of computer vision, natural language processing, and speech recognition, and has achieved tremendous success. Since mobile communication networks are able to generate large amounts of different types of data at a very fast pace, relevant researchers have applied deep learning to the field of communication, bringing opportunities for the development of communication technologies. For example, signal modulation identification in wireless communication can be done using deep learning techniques, and deep learning-based modulation identification methods have better robustness than traditional AMR methods and higher accuracy rates. There are many excellent neural networks in deep learning, such as convolutional neural network (CNN), recurrent neural network (RNN), etc. Among them, CNN is good at processing image data and RNN is good at processing sequence signals. CNN and RNN are widely used in AMR. The application of these neural networks to deep learning is discussed.
  • 1.4K
  • 08 Oct 2022
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