Topic Review
AI Advancements
Artificial intelligence (AI) has seen remarkable advancements, stretching the limits of what is possible and opening up new frontiers. Beginning with the fundamentals of AI, including traditional machine learning and the transition to data-driven approaches, the narrative progresses through core AI techniques such as reinforcement learning, generative adversarial networks, transfer learning, and neuroevolution.
  • 463
  • 28 Dec 2023
Topic Review
Network Slicing
5G networks have been experiencing challenges in handling the heterogeneity and influx of user requests brought upon by the constant emergence of various services. As such, network slicing is considered one of the critical technologies for improving the performance of 5G networks. This technology has shown great potential for enhancing network scalability and dynamic service provisioning through the effective allocation of network resources. 
  • 462
  • 07 Jul 2022
Topic Review
XSwitch
The XSwitch is an interconnect used by the XCore processor. The interconnect protocol is defined by XMOS, and is based around routing messages comprising 9-bit tokens between cores on a network. The protocol is specifically designed for on-chip and board-level communication, but using LVDS drivers it can also run over longer cables.
  • 462
  • 22 Nov 2022
Topic Review
Troubleshooting Chatbots Applied to ATM Technical Maintenance Support
The banking industry has been employing artificial intelligence (AI) technologies to enhance the quality of its services. AI algorithms, such as natural language understanding (NLU), have been integrated into chatbots to improve banking applications. 
  • 462
  • 21 Jun 2023
Topic Review
Fault-Tolerant Secure Data Aggregation Schemes in Smart Grids
Secure data aggregation is an important process that enables a smart meter to perform efficiently and accurately. However, the fault tolerance and privacy of the user data are the most serious concerns in this process. 
  • 461
  • 08 Jan 2023
Topic Review
Hierarchical Clustering Algorithms
In the field of data mining, clustering has shown to be an important technique. Hierarchical clustering algorithms are a type of clustering algorithm where data items will be divided into sections in a hierarchical form. To create a dendrogram that shows the formulated cluster’s hierarchical structure, in a top-down or bottom-up way clusters are created iteratively. 
  • 461
  • 15 May 2023
Topic Review
Deep Neural Networks
The fundamental principles and structures of deep learning (DL) are examined herein. The specific roles and functions of the diverse layers that make up deep networks are discussed, and the importance of evaluation metrics, which serve as crucial tools for gauging the effectiveness of these models, are emphasized. Commonly used architectures in medical image segmentation are also introduced.
  • 461
  • 29 Nov 2023
Topic Review
Several Complex Variables
The theory of functions of several complex variables is the branch of mathematics dealing with complex-valued functions f(z1, z2, ... zn) on the space Cn of n-tuples of complex numbers. As in complex analysis, which is the case n = 1 but of a distinct character, these are not just any functions: they are supposed to be holomorphic or complex analytic, so that locally speaking they are power series in the variables zi. Equivalently, as it turns out, they are locally uniform limits of polynomials; or local solutions to the n-dimensional Cauchy–Riemann equations.
  • 460
  • 27 Oct 2022
Topic Review
Gnash
Gnash is a media player for playing SWF files. Gnash is available both as a standalone player for desktop computers and embedded devices, as well as a plugin for the browsers still supporting NPAPI. It is part of the GNU Project and is a free and open-source alternative to Adobe Flash Player. It was developed from the gameswf project. Gnash was first announced in late 2005 by software developer John Gilmore. (As of 2011), the project's maintainer is Rob Savoye. The main developer's web site for Gnash is located on the Free Software Foundation's GNU Savannah project support server. Gnash supports most SWF v7 features and some SWF v8 and v9, however SWF v10 is not supported.
  • 460
  • 31 Oct 2022
Topic Review
July 2009 Cyberattacks
The July 2009 cyberattacks were a series of coordinated cyberattacks against major government, news media, and financial websites in South Korea and the United States . The attacks involved the activation of a botnet—a large number of hijacked computers—that maliciously accessed targeted websites with the intention of causing their servers to overload due to the influx of traffic, known as a DDoS attack. Most of the hijacked computers were located in South Korea. The estimated number of the hijacked computers varies widely; around 20,000 according to the South Korean National Intelligence Service, around 50,000 according to Symantec's Security Technology Response group, and more than 166,000 according to a Vietnamese computer security researcher who analyzed the log files of the two servers the attackers controlled. An investigation revealed that at least 39 websites were targets in the attacks based on files stored on compromised systems. The targeting and timing of the attacks—which started the same day as a North Korean short-range ballistic missile test—have led to suggestions that they may be from North Korea, although these suggestions have not been substantiated. Researchers would later find links between these cyberattacks, the DarkSeoul attacks in 2013, and other attacks attributed to the Lazarus Group. This attack is considered by some to be the beginning of a series of DDoS attacks carried about by Lazarus dubbed "Operation Troy."
  • 460
  • 11 Nov 2022
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