Results 21 to 30 of about 515,088 (168)
Fingerprint Feature Extraction for Indoor Localization
This paper proposes a fingerprint-based indoor localization method, named FPFE (fingerprint feature extraction), to locate a target device (TD) whose location is unknown. Bluetooth low energy (BLE) beacon nodes (BNs) are deployed in the localization area
Jehn-Ruey Jiang +2 more
doaj +1 more source
An Algebra for Feature Extraction [PDF]
Though feature extraction is a necessary first step in statistical NLP, it is often seen as a mere preprocessing step. Yet, it can dominate computation time, both during training, and especially at deployment. In this paper, we formalize feature extraction from an algebraic perspective.
openaire +1 more source
The development of low-cost and high-stability solution-processed perovskite technology provides a viable pathway for the mass production of efficient and durable solar cells, which is essential for reducing fossil fuel dependence and mitigating carbon ...
Wanli Ma +6 more
doaj +1 more source
Text feature extraction based on deep learning: a review
Selection of text feature item is a basic and important matter for text mining and information retrieval. Traditional methods of feature extraction require handcrafted features. To hand-design, an effective feature is a lengthy process, but aiming at new
Hong Liang +3 more
doaj +1 more source
Triple-Type Feature Extraction for Palmprint Recognition
Palmprint recognition has received tremendous research interests due to its outstanding user-friendliness such as non-invasive and good hygiene properties.
Lian Wu +5 more
doaj +1 more source
We take various information from the outside world into our brain by moving our eyes in every direction and sounds EEG contain basic rhythms of the brain, such as alpha waves, and components, such as myoelectric potentials. The results of the simulation indicated that the use of multiple windows would raise the accuracy in the detection of time delays ...
Ichiro Hamamoto +3 more
openaire +2 more sources
Relational autoencoder for feature extraction [PDF]
Feature extraction becomes increasingly important as data grows high dimensional. Autoencoder as a neural network based feature extraction method achieves great success in generating abstract features of high dimensional data. However, it fails to consider the relationships of data samples which may affect experimental results of using original and new
Qinxue Meng +3 more
openaire +2 more sources
LV-FeatEx: Large Viewpoint-Image Feature Extraction
Maintaining stable image feature extraction under viewpoint changes is challenging, particularly when the angle between the camera’s reverse direction and the object’s surface normal exceeds 40 degrees.
Yukai Wang +5 more
doaj +1 more source
UAT: Universal Attention Transformer for Video Captioning
Video captioning via encoder–decoder structures is a successful sentence generation method. In addition, using various feature extraction networks for extracting multiple features to obtain multiple kinds of visual features in the encoding process is a ...
Heeju Im, Yong-Suk Choi
doaj +1 more source
Cervical cancer remains a significant global public health challenge, affecting over half a million women annually, with a mortality rate of approximately 60%, especially in resource-limited regions.
Muhammad Amjad Raza +6 more
doaj +1 more source

