Titlebook: Soft Computing in Data Science; 7th International Co Marina Yusoff,Tao Hai,Eisuke Kita Conference proceedings 2023 The Editor(s) (if applic

encyclopedia

新鲜

Carbon-Energy Composite Flow for Transferred Multi-searcher Q-Learning Algorithm with Reactive Powerheory of carbon emission flow, the grid side and the user side are the primary producers of carbon emissions and must carry the majority of the obligation. To minimize carbon dioxide emissions, it is required to apply the carbon emission flow analysis approach to move the carbon footprint from the p

Morose

Multi-source Heterogeneous Data Fusion Algorithm Based on Federated Learninga traffic, continues to increase, making it difficult for the centralized processing mode centered on cloud computing to efficiently process the data generated by edge devices. Moreover, multimodal data is abundant due to the diversity of edge network devices and the ongoing improvement of data repr

gimmick

Dynamic Micro-cluster-Based Streaming Data Clustering Method for Anomaly Detections able to quickly detect the concept drift of streaming data is required because the constant arrival of massive amounts of streaming data with changing characteristics makes real-time and efficient anomaly detection a difficult task. This is because of the nature of the data itself, which is consta

ALIEN

Ingenuity

Performance Comparison of Feature Selection Methods for Prediction in Medical Dataed quickly. Medical databases commonly contain a lot of information about the medical histories of the patients and patient’s conditions, in addition, it is challenging to identify and extract the information that will be relevant and meaningful for machine learning modelling. Not to mention, the ef

陈腐的人

An Improved Mask R-CNN Algorithm for High Object Detection Speed and Accuracyks. This research is significant for the robot to grasp tasks in complex environments, such as the disorderly placement of multi-target objects and partial occlusion objects. This paper analyzes the structure and principle of the algorithm in depth based on the Mask-R-CNN target detection algorithm.

耕种

Federated Learning with Class Balanced Loss Optimized by Implicit Stochastic Gradient Descentthe optimal global model. System and data heterogeneity are now the two largest impediments to federated learning. This work suggests a federated learning strategy based on stochastic gradient descent optimization as a solution to the problem of heterogeneity-induced slow convergence, or even non-co

COW

Electricity Energy Monitoring System for Home Appliances Using Raspberry Pi and Node-Rednd measures the reading of the electricity meter manually. Electricity bill is only submitted once a month in Malaysia. The main concern of the project is to design an Electricity Energy Monitoring System for Home Appliances using Raspberry Pi and Node-RED; consequently, to generate real-time bill.

LUT