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Topic Review
Swarm Exploration and Communications
Swarm exploration by multi-agent systems relies on stable inter-agent communication. However, so far both exploration and communication have been mainly considered separately despite their strong inter-dependency in such systems. By a semantic communication design, communication efficiency in terms of latency, required data rate, energy, and complexity may be improved. 
  • 239
  • 28 Jul 2023
Topic Review
Real-Time Intelligent Detection System for Illegal Wearing
Ensuring personal safety and preventing accidents are critical aspects of power construction safety supervision. However, current monitoring methods are inefficient and unreliable as most of them rely on manual monitoring and transmission, which results in slow detection and delayed warnings regarding violations.
  • 188
  • 27 Jul 2023
Topic Review
Cyber-Physical Systems with Process-Oriented Paradigm
Process Oriented Programming (POP) is a programming paradigm based on the concept of "processes" that determine the response (outputs) of a reactive system based on events (states of internal and external variables, timeouts). A process-oriented program is a set of interacting processes that can change their behavior (reaction to events), start and stop other processes, and be executed in parallel. The languages created within the framework of POP (e.g. Reflex, IndustrialC, poST) fit very well for specification various control algorithms, which can consist of hundreds and thousands of processes. In addition to the fact that process-oriented programs structurally and conceptually correspond to the technological description of the plant under control, they also have the following remarkable property. In process-oriented algorithms, the use of data is usually local, limited to one or more processes.
  • 263
  • 27 Jul 2023
Topic Review
Feature Extracted Deep Neural Collaborative Filtering
The electronic publication market is growing along with the electronic commerce market. Electronic publishing companies use recommendation systems to increase sales to recommend various services to consumers. However, due to data sparsity, the recommendation systems have low accuracy. Also, previous deep neural collaborative filtering models utilize various variables of datasets such as user information, author information, and book information, and these models have the disadvantage of requiring significant computing resources and training time for their training.
  • 254
  • 27 Jul 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. 
  • 330
  • 26 Jul 2023
Topic Review
Transformer Architecture and Attention Mechanisms in Genome Data
The emergence and rapid development of deep learning, specifically transformer-based architectures and attention mechanisms, have had transformative implications across several domains, including bioinformatics and genome data analysis. The analogous nature of genome sequences to language texts has enabled the application of techniques that have exhibited success in fields ranging from natural language processing to genomic data. 
  • 378
  • 26 Jul 2023
Topic Review
Deep Learning Methods in Plant Taxonomy
Plant taxonomy is the scientific study of the classification and naming of various plant species. It is a branch of biology that aims to categorize and organize the diverse variety of plant life on earth. Traditionally, plant taxonomy has been performed using morphological and anatomical characteristics, such as leaf shape, flower structure, and seed and fruit characters. Artificial intelligence (AI), machine learning, and especially deep learning can also play an instrumental role in plant taxonomy by automating the process of categorizing plant species based on the available features.
  • 354
  • 26 Jul 2023
Topic Review
Determination of the Live Weight of Farm Animals
In cattle breeding, regularly taking the animals to the scale and recording their weight is important for both the performance of the enterprise and the health of the animals. This process, which must be carried out in businesses, is a difficult task. Due to the drawbacks of direct measurement approaches, a variety of indirect measurement approaches have been proposed.
  • 707
  • 26 Jul 2023
Topic Review
Anonymizing Transaction Data with Set Values
The definition of anonymity emphasizes the fact that the attacker can identify a person based on some of the sensitive set values about which the attacker has prior knowledge of in the set value data.
  • 337
  • 26 Jul 2023
Topic Review
Hybrid Evolutionary Approaches for Feature Selection
The efficiency and the effectiveness of a machine learning (ML) model are greatly influenced by feature selection (FS), a crucial preprocessing step in machine learning that seeks out the ideal set of characteristics with the maximum accuracy possible. Due to their dominance over traditional optimization techniques, researchers are concentrating on a variety of metaheuristic (or evolutionary) algorithms and trying to suggest cutting-edge hybrid techniques to handle FS issues. The use of hybrid metaheuristic approaches for FS has thus been the subject of numerous research works.
  • 231
  • 26 Jul 2023
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