Search
Search Results
-
Analytical solution for ginzburg–landau equation in discrete solitons laser arrays lattices via non-perturbation methods
The Ginzburg–Landau equation (GLE) plays an important role in discrete solitons laser array lattices. In this manuscript, the analytical solution for...
-
Event-triggered distributed optimization for model-free multi-agent systems
In this paper, the distributed optimization problem is investigated for a class of general nonlinear model-free multi-agent systems. The dynamical...
-
Learning Internal Semantics with Expanded Categories for Generative Zero-Shot Learning
In recent years, generative Zero-Shot Learning (ZSL) has attracted much attention due to its better performance than traditional embedding methods....
-
Secure Deduplication
Data privacy and confidentiality become concerns for encrypted deduplication storage systems. The attackers intend to obtain the secret information...
-
Competitive Learning and Dynamic Genetic Algorithms for Robust Layout Designs Under Uncertainties
Machine layout design is a crucial part of company’s operations and commonly aimed at maximising the effectiveness of resource utilisation within the...
-
Artificial intelligence self-efficacy: Scale development and validation
With the development of artificial intelligence (AI) applications, it has become critical for scholars, educators and practitioners to understand an...
-
Convergent approach to synthesis of the information learning environment for higher education
The article considers a convergent approach to the synthesis of the information learning environment for higher education, which includes tools for...
-
Multi-strategy improved sparrow search algorithm for job shop scheduling problem
As a new swarm intelligence algorithm, sparrow search algorithm (SSA) has the advantages of fewer parameters, simplicity, strong global and local...
-
Simulation and Shape Optimization of the Bleeding Pipe in Aero-Engine Internal Air System to Improve Mass Flow Measurement Accuracy
Accurate measured mass flow of the bleeding pipe is essential to confirm the behavior of internal air system during design and verification of an...
-
Modulus-based block triangular splitting iteration method for solving the generalized absolute value equations
In this paper, we focus on solving the generalized absolute value equations (GAVE). We present a new method named as modulus-based block triangular...
-
Reinforcement Learning-Based Policy Selection of Multi-sensor Cyber Physical Systems Under DoS Attacks
This paper focuses on the problem of optimal policy selection for sensors and attackers in cyber-physical system (CPS) with multiple sensors under...
-
A modified whale optimization algorithm with multi-strategy mechanism for global optimization problems
Whale Optimization Algorithm (WOA) is an outstanding nature-inspired algorithm widely used to solve many complex engineering optimization problems....
-
Fuzzy Deduplication Scheme Supporting Pre-verification of Label Consistency
Efficiently and securely removing encrypted redundant data with cross-user in the cloud is challenging. Convergent Encryption (CE) is difficult to...
-
Equivalent convolution strategy for the evolution computation in parametric active contour model
Parametric active contour model is an efficient approach for image segmentation. However, the high cost of evolution computation has restricted their...
-
RETRACTED ARTICLE: Development and application of a digital curation system to promote total creative personality based on multimedia
This study aims to develop a teaching and learning model and curation system based on multimedia. This curation system is a model for fostering...
-
Alfa: active learning for graph neural network-based semantic schema alignment
Semantic schema alignment aims to match elements across a pair of schemas based on their semantic representation. It is a key primitive for data...
-
Pilot study on the digitalization of the national qualification exam for Korean engineers
The Human Resources Development Service of Korea developed a digital exam for five representative engineering categories and conducted a pilot study...
-
A family of hybrid iterative approximation methods for fitting blending curves
Data fitting is a fundamental research problem in many scientific fields. The progressive iterative approximation for least-squares fitting is an...
-
Classifying Evaluation Method of Innovative Teachers’ Teaching Ability Based on Multi Source Data Fusion
Massive teaching ability data leads to a large difference between the evaluation index and the actual index. Therefore, a classification evaluation...
-
A survey study of chinese teachers’ continuous intentions to teach artificial intelligence
As the world is increasingly infused with artificial intelligence (AI), school teachers are beginning to acquire AI literacy and to integrate...
