A Differential Biomarker Based on Recurrence Quantification Analysis of EEG Signal and Genetic Algorithm for Epilepsy Diagnosis by Vanithamani Palanisamy, A Ranichitra, Radhamani Ellapparaj

“…In this study, RQA was used to distinguish between ictal and normal EEGs, utilizing a combination of Bayesian classifiers and genetic algorithms to select optimal RQA features. Recurrence plots were generated using five different distance norms (Mahalanobis, maximum, minimum, and Manhattan) and 10 threshold levels (εmin = 0.1, εmax = 1, ∆ε = 0.1) for each signal category, totaling one hundred samples. …”
Get full text

Kinematic Constrained RRT Algorithm with Post Waypoint Shift for the Shortest Path Planning of Wheeled Mobile Robots by Sisi Liu, Zhan Zhao, Jun Wei, Qianqian Zhou

“…This paper presents a rapidly exploring random tree (RRT) algorithm with an effective post waypoint shift, which is suitable for the path planning of a wheeled mobile robot under kinematic constraints. …”
Get full text

Development of Decline Curve Analysis Parameters for Tight Oil Wells Using a Machine Learning Algorithm by Weirong Li, Zhenzhen Dong, John W. Lee, Xianlin Ma, Shihao Qian

Get full text

Multi-decadal change detection of coastal dune landscapes using different supervised image classification algorithms by Ryan Theodore BENADE, Aune KAMOSHO, Lutobohile Ivonne MAKANDO, Oluibukun Gbenga AJAYI

“…Virtual rasters were generated, and training samples were used to classify dune features and surrounding land cover types. …”
Get full text

Algorithm-Based Real-Time Analysis of Training Phases in Competitive Canoeing: An Automated Approach for Performance Monitoring by Sergio Amat, Sonia Busquier, Carlos D. Gómez-Carmona, Manuel Gómez-López, José Pino-Ortega

“…The custom-developed algorithm processed velocity–time data through polynomial fitting and phase detection methods. …”
Get full text

Animation Pose Generation Model Based on Kinect Depth Image and Occlusion-Robust Pose-Maps Algorithm by Zhenxi Yu, Ting Wang, Peng Tian, Xuejie Li

“…Aiming at the problem of low efficiency and difficulty in adapting to complex interactive scenes in traditional animation pose generation methods, a dynamic pose generation model based on Kinect depth image and an occlusion robust pose map algorithm is proposed. A three-dimensional skeleton sequence is constructed through spatiotemporal sparse sampling, and the missing areas in the depth data are effectively repaired using matrix filling techniques. …”
Get full text

Path planning of intelligent tennis ball picking robot integrating twin network target tracking algorithm by Zegang Wang

“…In path planning, the improved bidirectional rapidly-exploring random tree algorithm is enhanced through sector constraint sampling to improve search efficiency. …”
Get full text

RACER: A Lightweight Distributed Consensus Algorithm for the IoT with Peer-Assisted Latency-Aware Traffic Optimisation by Zachary Auhl, Harsha Moraliyage, Naveen Chilamkurti, Damminda Alahakoon

“…To address these challenges, this paper introduces a novel consensus mechanism called Randomised Asynchronous Consensus with Efficient Real-time Sampling (RACER). The RACER framework eliminates the need for synchronised networks and clocks by implementing the Sequenced Probabilistic Double Echo (SPDE) algorithm, which operates asynchronously without timing assumptions. …”
Get full text

Random Reflectance: A New Hyperspectral Data Preprocessing Method for Improving the Accuracy of Machine Learning Algorithms by Pavel A. Dmitriev, Anastasiya A. Dmitrieva, Boris L. Kozlovsky

“…The GB algorithm exhibited a similar trend: 6.5% in 2021, 13.2% in 2022, 16.5% in 2023 and 17.4% in 2024. …”
Get full text

Mapping the Conformation Space of Wildtype and Mutant H-Ras with a Memetic, Cellular, and Multiscale Evolutionary Algorithm. by Rudy Clausen, Buyong Ma, Ruth Nussinov, Amarda Shehu

“…SIfTER is a data-driven evolutionary algorithm, leveraging experimentally-available structures of wildtype and variant sequences of a protein to define a reduced search space from where to efficiently draw samples corresponding to novel structures not directly observed in the wet laboratory. …”
Get full text

Synthesis of Algorithms and Procedures for Real-Time Internal Calibration of Receiving Channels in Digital Phased Antenna Arrays by V. H. Tran, M. Th. Hoang, V. B. Nguyen, B. N. Phung

“…With the purpose of improving the method, we propose an algorithm for estimating the phase and amplitude parameters of each receiving channel on the basis of continuous phase correlation accumulation of CalSig samples.Aim. …”
Get full text

Reconstruction of porous media pore structure and simulation effect analysis of multi-index based on SNESIM algorithm by Qing Xie, Jiaqi Gao, Xiaochuang Ye, Jia Li, Yifei Song, Siwen Hu

“…By analyzing performance parameters such as porosity, pore throat ratio, average grain radius, coordination number, and permeability, the study shows that the reconstructed images(RI) from most samples maintain a trend similar to that of the training images(TI), demonstrating the good applicability and reliability of the SNESIM algorithm in pore structure reconstruction. …”
Get full text

An efficient surface electromyography-based gesture recognition algorithm based on multiscale fusion convolution and channel attention by Bin Jiang, Hao Wu, Qingling Xia, Hanguang Xiao, Bo Peng, Li Wang, Yun Zhao

“…It uses fast dimensionality reduction, asymmetric convolution decomposition, and pooling to suppress the accumulation of parameters, then reducing the algorithmic complexity; The ECA is adopted to reweight the output features of Inception in different channels, enabling the RIE model to focus on information that is more relevant to gestures. 52-, 49-, and 52-class gesture recognition experiments are conducted on NinaPro DB1, DB3, and DB4 datasets, which contain 14,040, 3234, and 3120 gesture samples, respectively. …”
Get full text

Estimation of Suspended Particulate Matter Using Landsat 9 Imagery: Generating Algorithms and Spatio-Temporal Distributions by Lilik Maslukah, M. Firouz Dimas Sadewo, Baskoro Rochaddi, Sugeng Widada, Anindya Wirasatriya, Ulung Jantama Wisha

“…This study aims to build the SPM algorithm and estimate its temporal variability. The algorithm model in this study is based on an empirical formula between field data and reflectance data with the same acquisition. …”
Get full text

Fine Resolution Mapping of Forest Soil Organic Carbon Based on Feature Selection and Machine Learning Algorithm by Yanan Li, Jing Li, Jun Tan, Tianyue Ma, Xingguang Yan, Zongyang Chen, Kunheng Li

“…The results showed that CatBoost performed best among the six algorithms in predicting the SOC content (R² = 0.70). …”
Get full text

Remaining useful life prediction of Lithium-ion batteries based on data preprocessing and CNN-LSSVR algorithm by Ti Dong, Yiming Sun, Jia Liu, Qiang Gao, Chunrong Zhao, Wenjiong Cao

“…Eventually, the CNN-LSSVR algorithm and mutant particle swarm optimisation algorithm are utilised to solve the mapping regression and hyper-parameter optimisation problems, respectively, to achieve a complete prediction of RUL. …”
Get full text

Prediction of stunting and its socioeconomic determinants among adolescent girls in Ethiopia using machine learning algorithms. by Alemu Birara Zemariam, Biruk Beletew Abate, Addis Wondmagegn Alamaw, Eyob Shitie Lake, Gizachew Yilak, Mulat Ayele, Befkad Derese Tilahun, Habtamu Setegn Ngusie

“…Eight machine learning algorithms were included for consideration of model building and comparison. …”
Get full text

Leveraging Machine Learning Regression Algorithms to Predict Mechanical Properties of Evaporitic Rocks From Their Physical Attributes by Ayham Zaitouny, Hasan Arman, Anusuya Krishnan, Alaa Ahmed, Ahmed Gad

“…In this study, machine learning (ML) regression algorithms were applied to predict four key mechanical parameters, namely, uniaxial compressive strength (UCS), point load index (PLI), indirect tensile strength (ITS), and Schmidt hardness value (SHV), based on the physical attributes of evaporitic rocks. …”
Get full text

Study on the mechanical properties of stratified rock mass based on 3D printing technology and FDEM algorithm by Yongchao Tian, Kaifang Ren, Fan He, Yong Liu, Penghai Deng, Jiaqi Guo, Feiyue Sun, Xin Huang, Jun Zhang

“…The research findings would lay a crucial theoretical foundation for deformation control and stability analysis in engineering practice associated with stratified rock mass and provide reference for the application of 3D printing technology and FDEM algorithm to rock mechanics.…”
Get full text

Using UAV-based multispectral images and CGS-YOLO algorithm to distinguish maize seeding from weed by Boyi Tang, Jingping Zhou, Chunjiang Zhao, Yuchun Pan, Yao Lu, Chang Liu, Kai Ma, Xuguang Sun, Ruifang Zhang, Xiaohe Gu

“…Thirdly, the global attention mechanism (GAM) was employed to capture the features of maize seedlings using the dual attention mechanism of spatial and channel information. The CGS-YOLO algorithm was constructed and formed. Finally, we compared the performance of the improved algorithm with a series of deep learning algorithms, including YOLO v3, v5, v6 and v8. …”
Get full text