Application of Remote Sensing Techniques in Enhancement, Detection, and Slicing of Koopan Lateralized Ultrabasics (South of Bavanat, Fars Province) by Maryam Zurmand, Ahmad Ahmadi Khalaji, Kamal Noori Khankahdani, Zahra Tahmasbi

“…The current study has used Landsat 8 images for RS processing. This study indicated that the RGB=532 color composite in Landsat 8 image has the best contrast for enhancing and detecting peridotite and serpentinite units. …”
Get full text

A wearable obstacle avoidance device for visually impaired individuals with cross-modal learning by Yun Gao, Dan Wu, Jie Song, Xueyi Zhang, Bangbang Hou, Hengfa Liu, Junqi Liao, Liang Zhou

“…This module not only adaptively compresses video data to reduce transmission delay to the smartphone, but also operates on a customized FPGA board featuring a multi float-point vector unit streaming processing architecture, thereby facilitating responsive and energy-efficient obstacle detection. …”
Get full text

Substation Modelling and Network Security Monitoring Based on Scene Replication Technology by Xiaohu WANG, Guangxin Guo, Jiahan DONG, Lei WANG, Can CAO

“…For power equipment objects, the local geometric dominant subspace of point cloud data is extracted to realize fast data processing, improve the data quality and estimate the point cloud normal vector. …”
Get full text

Research on Tool Wear Monitoring Based on ET-GD and K-nearest Neighbor Algorithm by QIN Yiyuan, LIU Xianli, YUE Caixu, GUO Bin, DING Mingna

“…Aiming at the problem of tool wear monitoring in milling process , a tool wear monitoring method based on extreme random tree and Gaussian distribution and K-nearest neighbor is proposed. …”
Get full text

Potential analysis and energy prediction of photovoltaic power plants using satellite-based remote sensing and artificial intelligence techniques by Hadis Ghaedrahmati, Saeed Talebi, Amirmohammad Moradi, Aref Eskandari, Parviz Parvin, Mohammadreza Aghaei, Mohammadreza Aghaei

“…We utilize GIS and the Analytic Hierarchy Process (AHP) in ArcGIS software to evaluate suitable sites for PV systems. …”
Get full text

CIVILIZATIONAL DEVELOPMENT AS A PREREQUISITE FOR PROGRESS IN ACHIEVING THE GOALS OF SUSTAINABLE DEVELOPMENT by Viktoriia Rudevska, Natalia Shvetz, Viktoria Tanase

“…This analysis allowed the authors to formulate their vision, emphasizing the tri-vector structure of sustainable development and its dependence on the level of civilization development in society. …”
Get full text

High temperature absorption properties of SiOC ceramic matrix composite reinforced by continuous microwave- absorbing SiC fibers by SHI Qiaoying, LI Jingdan, GAN Nianyu, LI Siwei

“…The SiC-BN/SiOC ceramic matrix composites are prepared through the precursor infiltration pyrolysis（PIP） process， using wave-absorbing SiC fibers with in-situ BN coatings as reinforcements and SiOC ceramic as the matrix. …”
Get full text

Cognitive Load Identification of Pilots Based on Physiological-Psychological Characteristics in Complex Environments by Haibo Wang, Naiqi Jiang, Ting Pan, Haiqing Si, Yao Li, Wenjing Zou

“…Cognitive load is generated by pilots in the process of information cognition about aircraft control, and it is closely related to flight safety. …”
Get full text

Mode-Voltage Constrained Control for Adaptive Optics System by Ruitao Wang, Youming Guo, Nanfei Yan, Ying Yang, Lanqiang Zhang, Qiong Tu, Lingxiao Li, Changhui Rao

“…Simulation results demonstrate that this algorithm outperforms both the traditional vector project-constraint algorithm and the projection-based decoupling algorithm. …”
Get full text

Machine Learning Techniques in Chronic Kidney Diseases: A Comparative Study of Classification Model Performance by Nguyen Dong Phuong, Nguyen Trung Tuyen, Vu Thi Thai Linh, Nghi N Nguyen, Thanh Q Nguyen

“…Then, we utilized feature-based stratified splitting with K-means and implemented 6 machine learning algorithms (Random Forest, Support Vector Machine [SVM], Naive Bayes, Logistic Regression, K-Nearest Neighbor [KNN], and XGBoost) to compare their performance based on accuracy. …”
Get full text

Robust Line Feature Matching via Point–Line Invariants and Geometric Constraints by Chenyang Zhang, Yunfei Xiang, Qiyuan Wang, Shuo Gu, Jianghua Deng, Rongchun Zhang

“…Line feature matching is a crucial aspect of computer vision and image processing tasks, attracting significant research attention. …”
Get full text

Numerical and Experimental Investigation on the Structural Behaviour of a Horizontal Stabilizer under Critical Aerodynamic Loading Conditions by R. Sepe, R. Citarella, A. De Luca, E. Armentani

“…The structural components of such stabilizer are made of composite sandwich panels (HTA 5131/RTM 6) with honeycomb core (HRH-10-1/8-4.0); the sandwich skins have been made by means of Resin Transfer Moulding (RTM) process. In order to assess the mechanical strength of this stabilizer, experimental tests have been performed. …”
Get full text

A Hybrid Transfer Learning Approach to Teeth Diagnosis Using Orthopantomogram Radiographs by Ahmed Alabd-Aljabar, Zain Raisan, Mohammed Adnan, Salam Dhou

“…The rise in the emphasis on oral diseases has elevated the need to automate the diagnostic process of such diseases. Fortunately, the availability of modern computing devices has made the automated diagnosis of teeth readily possible using deep learning. …”
Get full text

Low-Complexity Receiver Using Undersampling for Guard-Band SSB-DDO-OFDM by Ming Chen, Qinghui Chen, Hui Zhou, Zhiwei Zheng, Jing He, Lin Chen

“…When the quantization noise is not dominant, the simulations show that the proposed low-complexity guard-band SSB-DDO-OFDM has similar error vector magnitude performances with the conventional one over different bias voltages and single-mode fiber links.…”
Get full text

Maize Seed Variety Classification Based on Hyperspectral Imaging and a CNN-LSTM Learning Framework by Shuxiang Fan, Quancheng Liu, Didi Ma, Yanqiu Zhu, Liyuan Zhang, Aichen Wang, Qingzhen Zhu

“…Spectral data were acquired by hyperspectral imaging technology from five maize varieties and processed using Savitzky–Golay (SG) smoothing, along with standard normal variate (SNV) preprocessing. …”
Get full text

A correlation-based binary particle swarm optimization method for feature selection in human activity recognition by Huaijun Wang, Ruomeng Ke, Junhuai Li, Yang An, Kan Wang, Lei Yu

“…Effective feature selection determines the efficiency and accuracy of a learning process, which is essential in human activity recognition. …”
Get full text

Classification Prediction of Jujube Variety Based on Hyperspectral Imaging: A Comparative Study of Intelligent Optimization Algorithms by Quancheng Liu, Jun Zhou, Zhaoyi Wu, Didi Ma, Yuxuan Ma, Shuxiang Fan, Lei Yan

“…This study integrates hyperspectral imaging with intelligent optimization algorithms—Zebra Optimization Algorithm (ZOA), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Grey Wolf Optimization (GWO)—and a Support Vector Machine (SVM) model to classify jujube varieties. …”
Get full text

Travel Time Prediction in a Multimodal Freight Transport Relation Using Machine Learning Algorithms by Nikolaos Servos, Xiaodi Liu, Michael Teucke, Michael Freitag

“…We apply the ML algorithms extremely randomized trees (ExtraTrees), adaptive boosting (AdaBoost), and support vector regression (SVR) to this problem because of their ability to deal with low data volumes and their low processing times. …”
Get full text

Prediction of coronary heart disease based on klotho levels using machine learning by Yuan Yao, Ying Zhao, Haifeng Li, Yanlin Han, Yue Wu, Renwei Guo, Mingfeng Ma, Lixia Bu

“…We evaluated the ability of five models constructed using logistic regression, neural networks, random forest, support vector machine, and eXtreme Gradient Boosting to predict CHD. …”
Get full text

PEaF-Production Environment Analyzer Framework: Assisting Continuous Deployment of 5G Workloads Using AI/ML by Karthikeyan Subramaniam, Senthil Kumar, Asutosh Mishra, Ayush Bhandari, Jamsheed Manja Ppallan, Ganesh Chandrasekaran

“…These scores serve as features for training Support Vector Machine (SVM) and Random Forest (RF) classifiers to classify hardware health status. …”
Get full text