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Topic Review
Advanced Persistent Thread and Common Systems Behavioral Sources
The rapid proliferation of Internet of Things (IoT) networks in Colombia and various global regions has unquestionably resulted in a significant increase in cyberattacks. This rapid expansion of interconnected devices carries significant implications for individuals, organizations, and governing entities.
  • 506
  • 08 Mar 2024
Topic Review
Differentiable Vector-Valued Functions from Euclidean Space
In the mathematical discipline of functional analysis, a differentiable vector-valued function from Euclidean space is a differentiable function valued in a topological vector space (TVS) whose domains is a subset of some finite-dimensional Euclidean space. It is possible to generalize the notion of derivative to functions whose domain and codomain are subsets of arbitrary topological vector spaces (TVSs) in multiple ways. But when the domain of a TVS-valued function is a subset of a finite-dimensional Euclidean space then many of these notions become logically equivalent resulting in a much more limited number of generalizations of the derivative and additionally, differentiability is also more well-behaved compared to the general case. This article presents the theory of [math]\displaystyle{ k }[/math]-times continuously differentiable functions on an open subset [math]\displaystyle{ \Omega }[/math] of Euclidean space [math]\displaystyle{ \R^n }[/math] ([math]\displaystyle{ 1 \leq n \lt \infty }[/math]), which is an important special case of differentiation between arbitrary TVSs. This importance stems partially from the fact that every finite-dimensional vector subspace of a Hausdorff topological vector space is TVS isomorphic to Euclidean space [math]\displaystyle{ \R^n }[/math] so that, for example, this special case can be applied to any function whose domain is an arbitrary Hausdorff TVS by restricting it to finite-dimensional vector subspaces. All vector spaces will be assumed to be over the field [math]\displaystyle{ \mathbb{F}, }[/math] where [math]\displaystyle{ \mathbb{F} }[/math] is either the real numbers [math]\displaystyle{ \R }[/math] or the complex numbers [math]\displaystyle{ \Complex. }[/math]
  • 505
  • 07 Nov 2022
Topic Review
Disaster Management Systems
Disaster management is a critical area that requires efficient methods and techniques to address various challenges. An increasing number of studies have elaborated on the importance and applications of remote sensing in disaster management. A major reason for the adoption of remote sensing is that it is one of the fastest means of acquiring data for pre-disaster and post-disaster studies. It is used to provide data for damage assessment in a timely manner and to assist in evaluation and rehabilitation plans. During the pre-disaster phase, remote sensing can be applied to identify and develop adequate systems and resources before the occurrence of a disaster. Adequate systems and resources can ensure that the response to a disaster is coordinated and efficient and that the recovery time is minimal.
  • 505
  • 06 Jun 2024
Topic Review
Specifications of 5G Cell Search
5G Cell Search (CS) is the first step for user equipment (UE) to initiate communication with the 5G node B (gNB) every time it is powered ON. In cellular networks, CS is accomplished via synchronization signals (SS) broadcasted by gNB. 5G 3rd generation partnership project (3GPP) specifications offer a detailed discussion on the SS generation at gNB, but a limited understanding of their blind search and detection is available. 
  • 505
  • 10 Oct 2023
Topic Review
Artificial Intelligence-Based Support in Cardiology
Artificial Intelligence (AI)-based algorithms, in particular, Deep Neural Networks (DNNs), have recently revolutionized image creation. Precise segmentation of lesions may contribute to an efficient diagnostics process and a more effective selection of targeted therapy. For example, an AI-based algorithm for the segmentation of pigmented skin lesions has been developed, which enables diagnosis in the earlier stages of the disease, without invasive medical procedures. With flexibility and scalability, AI can be also considered an efficient tool for cancer diagnosis, particularly in the early stages of the disease.
  • 505
  • 27 Mar 2024
Topic Review
Revisiting the High-Performance Reconfigurable Computing
Modern datacenters are reinforcing the computational power and energy efficiency by assimilating field programmable gate arrays (FPGAs). The sustainability of this large-scale integration depends on enabling multi-tenant FPGAs. This requisite amplifies the importance of communication architecture and virtualization method with the required features in order to meet the high-end objective.
  • 504
  • 27 Jun 2022
Topic Review
DSMod
As the next version of Windows NT after Windows 2000, as well as the successor to Windows Me, Windows XP introduced many new features but it also removed some others.
  • 504
  • 06 Oct 2022
Topic Review
Timeline of Computing 1980–89
This article presents a detailed timeline of events in the history of computing from 1980 to 1989. For narratives explaining the overall developments, see the History of computing.
  • 504
  • 17 Oct 2022
Topic Review
Hangul (Obsolete Unicode Block)
Hangul, Hangul Supplementary-A, and Hangul Supplementary-B were character blocks that existed in Unicode 1.0 and 1.1, and ISO/IEC 10646-1:1993. These blocks encoded precomposed modern Hangul syllables. These three Unicode 1.x blocks were deleted and superseded by the new Hangul Syllables block (U+AC00–U+D7AF) in Unicode 2.0 (July 1996) and ISO/IEC 10646-1:1993 Amd. 5 (1998), and are now occupied by CJK Unified Ideographs Extension A and Yijing Hexagram Symbols. Moving or removing existing characters has been prohibited by the Unicode Stability Policy for all versions following Unicode 2.0, so the Hangul Syllables block introduced in Unicode 2.0 is immutable.
  • 504
  • 08 Nov 2022
Topic Review
Metaverse for Digital Anti-Aging Healthcare
Metaverse is the buzz technology of the moment raising attention both from academia and industry. Many stakeholders are considering an extension of their existing applications into the metaverse environment for more usability. The healthcare industry is gradually making use of the metaverse to improve quality of service and enhance living conditions. The convergence of artificial intelligence (AI), blockchain (BC), Internet of Things (IoT), immersive technologies, and digital twin in the metaverse environment presents new scopes for the healthcare industry. By leveraging these technologies, healthcare providers can improve patient outcomes, reduce healthcare costs, and create new healthcare experiences for a better life, thus facilitating the anti-aging process. AI can be used to analyze large-scale medical data and make personalized treatment plans, while blockchain can create a secure and transparent healthcare data ecosystem. 
  • 504
  • 05 May 2023
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