Based on SRI, we propose a search algorithm called SR-KNN that can rapidly calculate a final region with a filter-and-refine strategy to enhance the efficiency of process k-NN queries, rather than iteratively enlarging the search space like the grid-index-based approaches. Finally, we conduct...
The worldwide popularity score of various types of ML algorithms (supervised, unsupervised, semi-supervised, and reinforcement) in a range of 0 (min) to 100 (max) over time where x-axis represents the timestamp information and y-axis represents the corresponding score Full size image Artificial...
component analysis (PCA) and convolutional neural network (CNN). We use and compare the performance of the algorithms K-nearest neighbor (KNN), decision tree, random forest, and CNN. The recognition is done by applying these techniques to the dataset with more than 40K acquired real-time image...
The You Only Look Once (YOLO) object detection, an example of a CNN model, holds promise for real-time detection. This study proposes a real-time crime detection system based on the YOLO model and transfer learning. An algorithm was formulated based on YOLOv5 architecture and was implemented...
Due to the ubiquity of time series data, time series classification has important applications in a wide range of practical scenarios. In this paper, we propose a novel ensemble approach which combines two state-of-the-art classifisers: KMeans-DBA-KNN (K-D-K) and Long Short-Term Memory ...
We used a modified version of Kalman filtering algorithm to manage the variability of the time difference between consecutive frames. The equation of state is therefore the following: xt|s=xs|s+(t−s).vs|svt|s=vs|s where x is person’s position, v is person’s velocity, t is current...
The herein provided algorithm can be applied to various rehabilitation devices like BWS systems/exoskeletons. In this work, first, the design and implementation of an EtherCAT interface for wireless data acquisition is presented that transfers data from IMUs via Bluetooth protocol into the real-time ...
Computational burden is measured and compared with other methods to ensure that the developed method can be implemented in real time. 展开 关键词: SVM Arrhythmia Premature Ventricular Contraction Discrete Wavelet Transform KNN DOI: 10.1109/PAHCE.2013.6568330 被引量: 10 ...
FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regions Continuous glucose monitoring (CGM) devices provide real-time glucose monitoring and timely alerts for glycemic excursions, improving glycemic control amon... D Dave,K Vyas,...
Then, this dataset is used for the training phase of a pattern recognition algorithm. Several noise types impact the signals in radio channels, and RSS values are corrupted correspondingly. These noises can be mitigated by averaging the RSS samples. In real-time applications, the users cannot ...