Containers have been commonly used in recent years for application deployment in many fields of computing, including the Internet of Things (IoT). Thus, there is an opportunity for the use of WebAssembly (WASM) to imp...
详细信息
This section covers ML and automated assistance systems for crowd control. ML-based artificial intelligence (AI) lets software programmes enhance prediction accuracy without being designed to. ML techniques forecast c...
详细信息
Aiming at the problems of less integrated learning research and many redundant data in dynamic risk early warning monitoring, this paper proposes a dynamic risk prediction regression algorithm based on KPCA-LightGBM. ...
Aiming at the problems of less integrated learning research and many redundant data in dynamic risk early warning monitoring, this paper proposes a dynamic risk prediction regression algorithm based on KPCA-LightGBM. Firstly, the dynamic monitoring case data is collected, and the KPCA method is used to reduce the dimension of the case ***, the LightGBM method is used to iterate the data after dimensionality reduction, and the importance ranking of influencing factors and the optimal parameter set of the algorithm are obtained to realize the effective prediction of dynamic *** results show that in the risk early warning monitoring, the KPCA-LightGBM method has higher accuracy than the traditional KPCA and LightGBM methods. At the same time, the method can better identify the feature indicators and improve the monitoring effect of various risks, which further expands the algorithm library for the dynamic monitoring algorithm.
Information security is related to personal interests, enterprise survival, social stability, state secrets, etc., and is closely related to my country's economic security, social security and national security. T...
详细信息
With the wide application of computer vision technology in sports field, how to analyze sports video efficiently and accurately has become an important research direction. Fuzzy clustering algorithm as a nonlinear dat...
详细信息
This study is dedicated to architecting a data management and analysis platform, integrating advanced computer technologies and machine learning algorithms. Traditional approaches often fall short in handling and anal...
详细信息
This study addresses challenges in traditional denture polishing processes, such as color matching, motion planning, and degree of freedom optimization. An intelligent digital denture polishing system is proposed, bas...
This study addresses challenges in traditional denture polishing processes, such as color matching, motion planning, and degree of freedom optimization. An intelligent digital denture polishing system is proposed, based on an improved Rapidly-exploring Random Tree (RRT) path optimization algorithm. The system integrates the HSI color model, color calibration using structured light, and the improved RRT path optimization algorithm. A bio-inspired digital polishing robotic arm with seven degrees of freedom is developed, and a color matching approach based on a tooth enamel color database is introduced. Through this system, precise tooth color matching, efficient and accurate robotic arm motion planning, and unprecedented progress and potential are achieved in the field of dental restoration.
Advertising and publicity work in public places is essential for product promotion, but there is a lack of efficient automatic methods for evaluating the effectiveness of advertising and publicity. Therefore, in respo...
详细信息
This scholarly investigation delves into the influence of contemporary computerscience trends on commercial enterprises. By conducting an examination of the amalgamation of advanced technology in the business world, ...
详细信息
An intelligent ChatGPT based Transformer neural network architecture is proposed. It not only has the function of understanding the text, but also has the function of creating the text. The system correlates large dat...
An intelligent ChatGPT based Transformer neural network architecture is proposed. It not only has the function of understanding the text, but also has the function of creating the text. The system correlates large data sets. The algorithm in this paper can strengthen the mining of semantic information at sentence level, improve the understanding of specific text information and the learning of text information. It effectively reduces the overall computational complexity of the model. This method can improve the universality of the model under the actual distribution. The convergence rate in the parameter space can be accelerated. Use Rotowire's public data to verify method validity. Experimental results show that the proposed method performs better than the existing data-to-text generation model. The algorithm can be used to automatically convert structured data into continuous text automatically generated.
暂无评论