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Black Widow Spider Algorithm Based on Differential Evolution and Random Disturbance
Aiming at the problems of unbalanced exploitation and exploration and falling into local optimization in black widow algorithm. In this paper,...
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An Auto Disturbance Rejection Control Method for Four Rotor UAV Flight Operation
The four rotor unmanned aerial vehicle (UAV) can carry out all-round and efficient inspection of power equipment. At present, the four rotor UAV has...
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Study on the Random Factor of Firefly Algorithm
The firefly algorithm (FA) is a swarm intelligence algorithm that mimics the swarm behaviour of the firefly in nature. The idea is simple, and FA is...
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Modeling Landscape Level Forest Disturbance-Conservation Implications
Increasingly forest land is diverted to different land uses leading to various levels of disturbances in a landscape. Any disturbance could affect...
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Model predictive control with input disturbance and guaranteed Lyapunov stability for controller approximation
An approximation method that can lower the computational complexity is presented to reduce the processing time of model predictive control (MPC). The...
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Equivalent input disturbance-based load frequency control for smart grid with air conditioning loads
Integrating intermittent wind power into power systems results in low or zero inertia, threatening their frequency stability. To accommodate...
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Adaptive Deep Disturbance-Disentangled Learning for Facial Expression Recognition
In this paper, we propose a novel adaptive deep disturbance-disentangled learning (ADDL) method for effective facial expression recognition (FER)....
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Using a half cheetah habitat for random augmentation computing
Reinforcement learning algorithms that depend on physical models are thought to provide more substantial outcomes in comparison to model-free...
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Disturbance rejection and high dynamic quadrotor control based on reinforcement learning and supervised learning
In this paper, we design and train a neural network controller for quadrotor attitude control to expand the application of quadrotors in more complex...
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CCM-PRNG: Pseudo-random bit generator based on cross-over chaotic map and its application in image encryption
Random numbers are the critical components of most security algorithms. Generating random numbers from a natural source or any deterministic...
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Exponential Stability of Stochastic Time-Delay Neural Networks with Random Delayed Impulses
The mean square exponential stability of stochastic time-delay neural networks (STDNNs) with random delayed impulses (RDIs) is addressed in this...
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Hierarchical framework integrating rapidly-exploring random tree with deep reinforcement learning for autonomous vehicle
This paper proposes a systematic driving framework where the decision making module of reinforcement learning (RL) is integrated with...
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A compensation method for gyroscope random drift based on unscented Kalman filter and support vector regression optimized by adaptive beetle antennae search algorithm
The random error of fiber optic gyroscope (FOG) is an important factor affecting its performance. In this paper, a novel and efficient compensation...
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BWA: Research on Adversarial Disturbance Space Based on Blind Watermarking and Color Space
Effective generation of adversarial examples can help to improve the training of neural models to avoid adversarial example attacks. Watermark-based...
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A novel Jarratt butterfly Ebola optimization-based attentional random forest for data anonymization in cloud environment
Privacy and security are the most essential barriers preventing widespread public cloud adaptation. The data that is distributed within the cloud...
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Power Quality Disturbance Classification Using Transformer Network
The quality of power supplies has become an increasingly important subject in ensuring smooth operations of advanced instruments, especially in smart...
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A meta-heuristic feature selection algorithm combining random sampling accelerator and ensemble using data perturbation
Meta-heuristic algorithms have been extensively utilized in feature selection tasks because they can obtain the global optimal solution. However, the...
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Software Defect Prediction Method Based on Cost-Sensitive Random Forest
In this paper, a new method was proposed to reduce the misclassification cost of software defect prediction under the condition of imbalanced...
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Forecasting Model for the Number of Breeding Sows Based on Pig’s Months of Age Transfer and Improved Flower Pollination Algorithm-Back Propagation Neural Network
Regulating the number of breeding sows (NBS) is crucial for pork supply–demand balance. Current forecasting methods for NBS fail to consider the...
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CGFSSO: the co-operative guidance factor based Salp Swarm Optimization algorithm for MPPT under partial shading conditions in photovoltaic systems
The increasing adoption of solar photovoltaic (PV) power generation stems from its renewable and eco-friendly attributes. However, conventional...
