KNN

Time-Frequency Analysis of EEG Signals for Depth of Anesthesia Monitoring

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Time-Frequency Analysis of EEG Signals for Depth of Anesthesia Monitoring

Click the “blue words” to follow for more exciting content! Monitoring the depth of anesthesia (DoA) during surgery is crucial, particularly non-invasive monitoring techniques. This article proposes a new approach for monitoring DoA, which utilizes time-frequency analysis of electroencephalogram (EEG) signals and extracts features from the gray level co-occurrence matrix (GLCM). First, the time-frequency map … Read more

Outlier Detection Using PyOD

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Outlier Detection Using PyOD

Source: DeepHub IMBA This article is approximately 1200 words long and is recommended for a 5-minute read. In this article, we will introduce the PyOD package and provide detailed code examples. Outlier detection is a key task in various fields. PyOD, which stands for Python Outlier Detection, simplifies the process of identifying outliers in multivariate … Read more

Daily Pain Prediction Using Smartphone Speech Recordings

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Daily Pain Prediction Using Smartphone Speech Recordings

Click the “blue words” to follow for more exciting content! Background: In neurosurgical practice, pain assessment is largely subjective, but the emergence of machine learning offers the possibility of objective pain assessment. Objective: To predict daily pain levels using smartphone voice recordings from a group of patients diagnosed with neuropathic spine diseases. Methods: With the … Read more

Introduction to Achievements of the National Key Laboratory of Powder Metallurgy at Central South University – Issue 1

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Introduction to Achievements of the National Key Laboratory of Powder Metallurgy at Central South University - Issue 1

Piezoelectric ceramics are functional ceramic materials capable of converting mechanical energy and electrical energy into each other, widely applied in devices such as piezoelectric sensors, actuators, transducers, and filters. Their application spans numerous fields including aerospace, military, information electronics, industrial machinery, medical, and automotive. The development of new environmentally friendly lead-free piezoelectric ceramics has become … Read more

Structure And Properties Of KNN-Based Lead-Free Piezoceramics

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Structure And Properties Of KNN-Based Lead-Free Piezoceramics

Huan Yu:2016 Tsinghua University Excellent Doctoral Dissertation Second Prize Winner Structure and properties of KNN-based lead-free piezoceramics near polymorphic phase transition boundary Author:Huan Yu Supervisor:Xiaohui Wang Professor Department:Materials Science and Engineering Discipline:Materials Science and Engineering PhD Experience:Being a PhD is1%inspiration and99%sweat. Research Background/Significance/Value Piezoceramics are widely used in actuators, sensors, and transducers. To protect the … Read more

Emotion Recognition from EEG Signals Based on Weighted KNN Algorithm

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Emotion Recognition from EEG Signals Based on Weighted KNN Algorithm

Authors: Cai Jing, Yuan Shouguo, Li Rui, Xu Menghui Affiliations: 1. Jilin University, School of Instrument Science and Electrical Engineering, Changchun, Jilin 130061. Abstract: Emotions are closely related to human behavior, family, and society. Emotions not only reflect various feelings, thoughts, and behaviors of humans but also represent psychological and physiological responses generated by various … Read more

KNN: The K-Nearest Neighbors Classification Algorithm

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Hello, friends! This is the Information Engineering College Knowledge Lecture, and it’s our first meeting with you. Without further ado, let’s dive straight into the segment where we bring you some computer knowledge! This week’s “Weekly Lesson” is presented by Sun Rongyue from the 2021 Class of Computer Science and Technology 2. He will explain … Read more

Innovative Diffusion-Type PPB Interface in KNN Piezoelectric Ceramics

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Innovative Diffusion-Type PPB Interface in KNN Piezoelectric Ceramics

In recent years, inspired by the high piezoelectric response at the MPB interface in lead-containing PZT-based ceramics, researchers have successfully constructed a polycrystalline phase boundary (PPB) in KNN-based ceramics, significantly improving the piezoelectric coefficient of KNN-based piezoelectric ceramics. However, KNN-based ceramics developed using the PPB phase boundary strategy often exhibit instability in the d33 temperature. … Read more

Improving Chinese Text Classification Algorithm Using Word Vectors and kNN

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Improving Chinese Text Classification Algorithm Using Word Vectors and kNN

Ding Zhengsheng， Ma Chunjie （Xi’an University of Science and Technology， Shanxi Xi’an 710600） Abstract: In order to improve the efficiency and accuracy of Chinese text classification, a Chinese text classification algorithm based on deep learning is established in response to the characteristics of Chinese characters and the dramatic increase in data volume in the big … Read more

KNN-Based Lead-Free Ferroelectric Energy Storage Ceramics

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KNN-Based Lead-Free Ferroelectric Energy Storage Ceramics

Research Background In recent years, the energy density and efficiency of dielectric energy storage ceramics with high operating voltage, fast charge-discharge capability, and good high-temperature stability have been continuously improved, showing great application potential in fields such as high-energy pulse power. Particularly, the development of relaxor ferroelectrics has further accelerated the application progress of dielectric … Read more