Subject:
All Disciplines Arts & Humanities Biology & Life Sciences Business & Economics Chemistry & Materials Science Computer Science & Mathematics Engineering Environmental & Earth Sciences Medicine & Pharmacology Physical Sciences Public Health & Healthcare Social Sciences
Sort:
Hottest Latest Alphabetical (A-Z) Alphabetical (Z-A)
Type:
All Topic Review Biography
Topic Review Peer Reviewed
Safeguarding Traditional Crafts in Europe
This entry discusses the challenge of safeguarding crafts in Europe. Safeguarding is defined herein as the systematic process of understanding, representing, preserving, and valorizing crafts following the recommendations of UNESCO and the UN-World Tourism Organization. The abovementioned challenges are discussed through a multidisciplinary prism starting from the scientific challenges in the information and communication technologies sector and expanding the discussion to ethical, legal, and policy-making measures and recommendations to safeguard crafts as a form of tangible and intangible cultural heritage but also as a source of growth and impact for the communities that practice them. To this end, the role of education and training for craft preservation is discussed, considering that the declining number of practitioners and apprentices is considered today the main threat to their preservation.
  • 453
  • 11 Oct 2023
Topic Review
Sign Language Recognition Techniques
Historically, individuals with hearing impairments have faced neglect, lacking the necessary tools to facilitate effective communication. Building a sign language recognition system using deep learning technology plays a vital role in interpreting sign language to ordinary individuals and the reverse. This system would ease the process of communication between deaf and normal people.
  • 216
  • 10 Oct 2023
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. 
  • 451
  • 10 Oct 2023
Topic Review
Classifications of Routing Protocols in Ad hoc Networks
Wireless Mobile Ad-hoc Networks (WANETs-MANETs) are one of the most in-demand networks in our day and age, being widely used in military fields, disaster environments, autonomous robots, vehicular networks, rural and urban environments, and UAV applications. This is due to the remarkable features of versatility, robustness, and self-configuration with no infrastructure. Such networks' main objective is to deliver reliable data transmission directly to nodes such routers, access points, smartphones, and vehicles with dynamically adjusting the data routes in accordance with the network conditions and GPS information. However, mobility in ad hoc networks is yet the crucial issue due to the dynamic changes of the network topology; this makes data routing a substantial challenge. To this end, choosing or design the proper routing protocol plays important role in establishing robust, secure and efficient data communication for randomly distributed and unrestricted movement of nodes.
  • 1.5K
  • 10 Oct 2023
Topic Review
AMC Using Residual Learning and Squeeze–Excitation Blocks
Automatic modulation classification (AMC) is a vital process in wireless communication systems that is fundamentally a classification problem. It is employed to automatically determine the type of modulation of a received signal. Deep learning (DL) methods have gained popularity in addressing the problem of modulation classification, as they automatically learn the features without needing technical expertise.
  • 236
  • 10 Oct 2023
Topic Review
Carbonate Reservoirs Permeability Prediction
Permeability is a crucial property that can be used to indicate whether a material can hold fluids or not. Predicting the permeability of carbonate reservoirs is always a challenging and expensive task while using traditional techniques. Traditional methods often demand a significant amount of time, resources, and manpower, which are sometimes beyond the limitations of under developing countries.
  • 300
  • 10 Oct 2023
Topic Review
Platform Supply Chain Coordination Considering Fresh-Keeping Service
With changes in demand and the emergence of new distribution channels, consumer-centric buyer’s markets for many products have been formed. The platform supply chain has been continuously optimized and upgraded. Supply chain leaders have moved downstream to the end of the supply chain. The operational value has been further enhanced. The corresponding systematic construction of the platform supply chain has become an important driving force for future development. 
  • 223
  • 09 Oct 2023
Topic Review
Open-Source Diffusion Using Government–Platform–User Evolutionary Game
Technological innovations, including the Internet of Things (IoT) and machine learning, have facilitated the emergence of autonomous systems, promoting triple bottom line (TBL) sustainability. However, the prevalent triopoly of Android, iOS, and Windows introduces substantial obstacles for smart device manufacturers in pursuit of independent innovation. Utilizing evolutionary game theory,  the interplay among governments, platforms, and users in championing open-source diffusion can be scrutinized. 
  • 198
  • 09 Oct 2023
Topic Review
Multi-Domain Feature Alignment for Face Anti-Spoofing
Face anti-spoofing is critical for enhancing the robustness of face recognition systems against presentation attacks. Existing methods predominantly rely on binary classification tasks. An adversarial learning process is designed to narrow the differences between domains, achieving the effect of aligning the features of multiple sources, thus resulting in multi-domain alignment.
  • 197
  • 07 Oct 2023
Topic Review
Deep Learning and Neural Networks in Decision Making
The term “deep learning” encompasses the challenge of adjusting the link weights within a deep neural network to achieve a desired input–output mapping. Deep neural networks are computational systems comprising units that resemble neurons and are connected through synapse-like connections. These units transmit scalar values akin to spike rates, which are determined by the total of their inputs or the activity of preceding units multiplied by the strength of the transmitting synapse. One of the formidable challenges faced by scholars and professionals is making decisions based on massive data while considering multiple criteria. The integration of deep learning algorithms into current approaches for handling large datasets has enabled the development of more intelligent decision support systems.
  • 138
  • 07 Oct 2023
  • Page
  • of
  • 371
Featured Entry Collections
>>

Featured Books

>>
Encyclopedia of Social Sciences
Encyclopedia of COVID-19
Encyclopedia of Fungi
Encyclopedia of Digital Society, Industry 5.0 and Smart City
Video Production Service
Feedback