Enhanced framework for credit card fraud detection using robust feature selection and a stacking ensemble model approach by Rahul Kumar Gupta, Asmaul Hassan, Samir Kumar Majhi, Nikhat Parveen, Abu Taha Zamani, Raju Anitha, Binayak Ojha, Abhinav Kumar Singh, Debendra Muduli

“…This study introduces an innovative machine learning-based fraud detection framework that incorporates sophisticated preprocessing methods like SMOTE-ENN for class imbalance mitigation, autoencoder for dimensionality reduction, and TOPSIS for optimal feature selection. …”
Get full text

Transformations of Optimal Control Problems by A. Tsirlin

“…Among these techniques are methods of the dimensionality reduction by a transition from an original argument to a new one, by a detection of a variable staying unchanged through equations of the system (invariant), by extension of the original problem and a transition from it to a simpler problem that gives an estimate solution of the original one. …”
Get full text

Adaptive zero velocity correction method for fiber optic inertial navigation system in coal mining roadheader by Qinghua MAO, Qing ZHOU, Jianquan CHAI, Yanzhang CHEN, Wenjuan YANG, Xusheng XUE

“…Therefore, an adaptive zero-speed correction method for fiber-optic inertial navigation of coal mine roadheader based on zero-speed detection and extended Kalman filter is proposed.Aiming at the problem of inaccurate zero-speed detection of traditional threshold method for roadheader fiber-optic inertial navigation, a zero-speed detection method based on PCA−SCSO−SVM ( Principal Component Analysis PCA, Sand Cat Swarm Optimization SCSO, Support Vector Machine SVM ) is proposed. …”
Get full text

Development and application of a highly sensitive quadruple droplet digital PCR method for simultaneous quantification of sulfonamide resistance genes by Xirong Yin, Jiayuan Nie, Huifang Tian, Huifang Tian, Lihong Duan, Lixia Wu, Xiangdong Xu, Yumei Guo, Yumei Guo, Ke Wang, Ke Wang

“…Correspondingly, the primers and probes of sul genes were meticulously designed and rigorously validated, and the critical parameters for ddPCR such as annealing temperature, concentrations of primers and probes were systematically optimized. As a results, the quadruple ddPCR method demonstrates excellent sensitivity with limits of detection (LOD) ranging from 3.98 to 6.16 copies/reaction, and good repeatability (coefficient of variation <25%), adequately meeting the requirement for accurate sul genes quantification. …”
Get full text

Advanced smart assistance with enhancing social interaction and daily activities for visually impaired individuals using deep learning with modified seagull optimization by Sana Alazwari, Hussah Nasser AlEisa, Mohammed Rizwanullah, Radwa Marzouk

“…This study proposes an Automated Damage Detection using a Modified Seagull Optimizer with Ensemble Learning (ADD-MSGOEL) method for visually impaired people. …”
Get full text

YOLOv8-BS: An integrated method for identifying stationary and moving behaviors of cattle with a newly developed datasetarchive.org by Md Ishtiaq Ahmed, Huiping Cao, Andrés Ricardo Perea, Mehmet Emin Bakir, Huiying Chen, Santiago A. Utsumi

Get full text

A multi-objective evolutionary algorithm for detecting protein complexes in PPI networks using gene ontology by Mustafa N. Abbas, David Broneske, Gunter Saake

“…Moreover, the findings emphasize the substantial advantages of incorporating our heuristic perturbation operator, which significantly improves the quality of the detected complexes over other evolutionary algorithm-based methods.…”
Get full text

Optimized predictive maintenance for streaming data in industrial IoT networks using deep reinforcement learning and ensemble techniques by K. Varalakshmi, J. Kumar

“…Extensive simulations, evaluated using accuracy, precision, recall, F1-score, and latency, demonstrate superior performance over traditional methods, minimizing false positives and enhancing fault detection reliability. …”
Get full text

Analysis of the optimal patterns of serum alpha fetoprotein (AFP), AFP-L3% and protein induced by vitamin K absence or antagonist-II (PIVKA-II) detection in the diagnosis of liver... by Ling Luo, Xiaochen Wang, Xujian Peng, Runqiang Zhong, Xuejing Xuan, Haixiong Lin, Xianghua Lin, Chaohui Duan

“…In recent years, many HCC diagnostic models using the combined detection of serum AFP, AFP-L3% and PIVKA-II have been established. …”
Get full text

Detection of Water Surface Using Canny and Otsu Threshold Methods with Machine Learning Algorithms on Google Earth Engine: A Case Study of Lake Van by Pinar Karakus

“…This study is a case study demonstrating the successful application of machine learning with Canny edge detection and the Otsu water surfaces thresholding method.…”
Get full text

Non-Destructive Detection of Silage pH Based on Colorimetric Sensor Array Using Extended Color Components and Novel Sensitive Dye Screening Method by Kai Zhao, Haiqing Tian, Jue Zhang, Yang Yu, Lina Guo, Jianying Sun, Haijun Li

“…Non-destructive detection of maize silage quality is essential. The aim is to propose a fast and non-destructive silage pH detection method based on a colorimetric sensor array (CSA). …”
Get full text

Establishment and application of a loop-mediated isothermal amplification method based on MetAP2 gene for the detection of Nosema bombycis in silkworms (Bombyx mori) by Izhar Hyder Qazi, Ting Yuan, Sijia Yang, Christiana Angel, Christiana Angel, Christiana Angel, Jiping Liu

Get full text

Early Detection of Slight Bruises in Yellow Peaches (<i>Amygdalus persica</i>) Using Multispectral Structured-Illumination Reflectance Imaging and an Improved Ostu Method by Jian Wu, Chenlin Liu, Aiguo Ouyang, Bin Li, Nan Chen, Jing Wang, Yande Liu

“…As a comparison, the global thresholding method and the Otsu method were also applied to the segmentation of the bruised region in all samples. …”
Get full text

Deep Learning-Based Detection of Aflatoxin B1 Contamination in Almonds Using Hyperspectral Imaging: A Focus on Optimized 3D Inception–ResNet Model by Md. Ahasan Kabir, Ivan Lee, Sang-Heon Lee

Get full text

Deep attention model for arrhythmia signal classification based on multi-objective crayfish optimization algorithmic variational mode decomposition by Yihang Zhang, Hang Zhao

“…A multi-objective optimization method based on non-dominated sorting was incorporated into the crayfish optimization algorithm to optimize the key parameters in VMD, then a variational mode decomposition technique for ECG signal processing based on a multi-objective crayfish optimization algorithm (MOCOA-VMD) was proposed, wherein the spectral kurtosis and KL divergence were determined as the indicators for decomposition. …”
Get full text

An Optimized Transformer–GAN–AE for Intrusion Detection in Edge and IIoT Systems: Experimental Insights from WUSTL-IIoT-2021, EdgeIIoTset, and TON_IoT Datasets by Ahmad Salehiyan, Pardis Sadatian Moghaddam, Masoud Kaveh

“…The proposed method is evaluated using three recent and comprehensive benchmark datasets, WUSTL-IIoT-2021, EdgeIIoTset, and TON_IoT, widely recognized as standard testbeds for IIoT intrusion detection research. …”
Get full text

Improving Soil Heavy Metal Lead Inversion Through Combined Band Selection Methods: A Case Study in Gejiu City, China by Ping He, Xianfeng Cheng, Xingping Wen, Yi Cao, Yu Chen

Get full text

Research Progress on Dual Function Radar and Communication Signal Design and its Application in Typical Detection Scenarios by Yaping HE, Longfei SHI, Dong WANG, Jianglan TANG, Junxian CHEN, Jiazhi MA, Jialei LIU

“…This paper focuses on using the signal design method to optimize radar detection performance by effectively adjusting the trade-off between detection and communication in multi-domain resource utilization by guaranteeing a minimum communication performance. …”
Get full text

Exposed conductor detection of 10 kV distribution line based on improved YOLOv8 by Qiwen JING, Sipeng HAO, Siyuan LI

Get full text

Acoustic Identification Method of Partial Discharge in GIS Based on Improved MFCC and DBO-RF by Xueqiong Zhu, Chengbo Hu, Jinggang Yang, Ziquan Liu, Zhen Wang, Zheng Liu, Yiming Zang

“…To accurately identify partial discharge in GIS, this paper proposes an acoustic identification method based on improved mel frequency cepstral coefficients (MFCC) and dung beetle algorithm optimized random forest (DBO-RF) based on the ultrasonic detection method. …”
Get full text