Three novel cost-sensitive machine learning models for urban growth modelling
This article addresses the class imbalance problem in urban gain modelling (UGM) of Tabriz
and Isfahan megacities in Iran by proposing novel cost-sensitive machine learning models …
and Isfahan megacities in Iran by proposing novel cost-sensitive machine learning models …
Design and verification of use case generation algorithm based on multiple combination tests
G Zheng - International Journal of Bio-Inspired …, 2024 - inderscienceonline.com
To solve the problem of low accuracy of interface test cases, an AdaBoost+ SVM use case
generation algorithm based on multiple combination tests is proposed. Multiple SVM …
generation algorithm based on multiple combination tests is proposed. Multiple SVM …
Voice EHR: Introducing Multimodal Audio Data for Health
J Anibal, H Huth, M Li, L Hazen, YM Lam… - arXiv preprint arXiv …, 2024 - arxiv.org
Large AI models trained on audio data may have the potential to rapidly classify patients,
enhancing medical decision-making and potentially improving outcomes through early …
enhancing medical decision-making and potentially improving outcomes through early …
Voice-Based Classification of Parkinson's Disease Using Machine Learning: An Extensive Study
SFK Pattan, S Mynampati, D Girishkanna… - … Conference on Recent …, 2023 - Springer
Parkinson's Disease (PD) is a condition observed with neural loss, primarily distinguished
by its impact on motor function. In our research, the usage of voice datasets of PD patients …
by its impact on motor function. In our research, the usage of voice datasets of PD patients …
A Semi-Supervised Clustering-Based Approach for Sensing and Classifying Unknown Attacks in Power Systems
Y Li, Z Shao, T Zhang, Y Ma - 2023 7th Asian Conference on …, 2023 - ieeexplore.ieee.org
To solve the problem of perceiving and classifying unknown attacks in power systems, the
study proposes a method for perceiving and classifying unknown attacks in power systems …
study proposes a method for perceiving and classifying unknown attacks in power systems …
Research on the Prediction Model of Civic Education Achievement Based on the Combination of Artificial Intelligence Features
B Wang - 2023 7th Asian Conference on Artificial Intelligence …, 2023 - ieeexplore.ieee.org
Under the situation of continuous expansion of opening up to the outside world, the
ideological and political education work in China's colleges and universities is facing new …
ideological and political education work in China's colleges and universities is facing new …
Prediction Method of Mortar Compressive Strength Based on Feature Analysis and Deep Learning
X Ni, H Wang, M Lin, R Hu - 2023 7th Asian Conference on …, 2023 - ieeexplore.ieee.org
In order to improve the prediction accuracy of concrete compressive strength, a prediction
model of mortar concrete compressive strength based on convolutional neural network is …
model of mortar concrete compressive strength based on convolutional neural network is …
Research on Oral Language Evaluation Method of Business English Based on Speech Recognition
Z Zhang - 2023 7th Asian Conference on Artificial Intelligence …, 2023 - ieeexplore.ieee.org
In order to meet the demand of people for second language learning, this paper proposes a
business English oral evaluation and correction method. Specifically, based on the …
business English oral evaluation and correction method. Specifically, based on the …
BP-based Evaluation Paradigm of Automobile Marketing Professional Information Teaching Practise
J Sun - 2023 International Symposium on Intelligent Robotics …, 2023 - ieeexplore.ieee.org
This topic builds a BP based practise teaching evaluation index system of automobile
marketing major based on the characteristics of automobile marketing major in light of the …
marketing major based on the characteristics of automobile marketing major in light of the …