Named Entity Recognition (NER) is essential in the biomedical domain, particularly in mental health studies focused on disorders like depression. It helps extract structured information from unstructured text, enablin...
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Aiming at the problems of difficult deployment, high latency, and serious performance loss of current network moving target defense, this paper designs a network moving target defense system based on deep reinforcemen...
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To address the problem that it is difficult to obtain a good quality and uniformly distributed Pareto optimal solution set for a complex biobjective system model, this paper proposes a teaching-learning-based Bi-objec...
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ISBN:
(纸本)9781450387477
To address the problem that it is difficult to obtain a good quality and uniformly distributed Pareto optimal solution set for a complex biobjective system model, this paper proposes a teaching-learning-based Bi-objective Lion Swarm Optimization algorithm (TLBLSO) for solving the bi-objective system uniform Pareto solution set problem. The idea and mechanism of teaching and learning optimization algorithm are introduced into the Lion Swarm algorithm. That is, the knowledge level of the whole group is improved by the way of individual teachers imparting knowledge and students exchanging knowledge, which effectively improves the spatial searching ability of the lion swarm. By comparing with other optimization algorithms, the experimental results show that the proposed TLBLSO can obtain well-distributed optimization solutions, which verifies the superiority of the proposed algorithm in this paper.
This research addresses the critical challenge of ransomware detection through the use of deep learning and machine learning methods. Because ransomware is a serious threat to cybersecurity, it is imperative that adva...
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Smartphones are increasingly vital to people on a daily basis. Telephones are utilized in all aspects of life, ranging from personal to professional, due to technological advancements. It serves a function beyond maki...
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computing education (CE) is a growing, but well-established field of research. However, relatively little is known about the research profiles of CE researchers: whether they tend to publish more educational or non-ed...
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Advancements in facial recognition technology have sparked significant interest in enhancing the precision of age and gender classification, crucial for applications ranging from personalized advertising to security s...
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With the emergence of the fifth-generation (5G) net-work, numerous revolutionary applications are enabled, including low-latency and machine-type communications. This great in-crease creates a broader security threat ...
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This work inspects the mobile robot path planning and provides an approach for single robot path planning using algorithms that are inspired by nature. Among various nature inspired algorithms PSO is widely adopted by...
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With learning through network has become an important way of autonomous learning. In the continuous improvement of College Students' English level, the traditional English teaching model cannot adapt to modern col...
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