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Topic Review
Biography
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.
1.4K
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.
216
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.
281
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.
196
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.
189
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.
187
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.
127
07 Oct 2023
Topic Review
Artificial Intelligence Techniques in Concrete
Due to the speed of artificial intelligence (AI) techniques in solving engineering problems, there has been a tendency to use these techniques in various fields of civil engineering, including designing construction materials (concrete mixtures for example) or estimating their properties. As it is hard to predict the compressive strength of concrete due to the different nonlinearities inherent in the mixture designs, various concrete companies are continuously looking to use new methods and technologies to predict the compressive strength. Such methods include numerical modelling and artificial intelligence due to their advantages.
254
07 Oct 2023
Topic Review
Automated Stuttering Classification
Speech disfluency, particularly stuttering, can have a significant impact on effective communication. Stuttering is a speech disorder characterized by repetitions, prolongations, and blocks in the flow of speech, which can result in communication difficulties, social isolation, and low self-esteem. Stuttering can also lead to negative reactions from listeners, such as impatience or frustration, which can further exacerbate communication difficulties.
311
07 Oct 2023
Topic Review
Validated Questionnaires in Flow Theory
Psychological flow has been measured in several areas to analyse to what extent users are engaged in particular tasks, and is relevant in the design of products like software, videogames, and eLearning courses.
269
07 Oct 2023
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