Three-dimensional visualization and navigation for micro-noninvasive uterine fibroid surgery based on MRI and ultrasound image fusion by Ting Wang, Yingang Wen, Zhibiao Wang, Zhibiao Wang, Xi Li

“…The nnU-Net algorithm was used for preoperative segmentation and 3D reconstruction of MRI images to provide detailed visualization of fibroid morphology. …”
Get full text

Efficient Trans-Dimensional Bayesian Inversion of C-Response Data from Geomagnetic Observatory and Satellite Magnetic Data by Rongwen Guo, Shengqi Tian, Jianxin Liu, Yi-an Cui, Chuanghua Cao

“…In trans-D Bayesian inversion, the posterior probability density (PPD) represents a complete inversion solution, based on which useful inversion inferences about the model can be made with the requirement of high-dimensional integration of PPD. This is realized by an efficient reversible-jump Markov-chain Monte Carlo (rjMcMC) sampling algorithm based on the birth/death scheme. …”
Get full text

Short-term Wind Power Forecasting Based on BWO‒VMD and TCN‒BiGRU by LU Jing, ZHANG Yanru, WANG Rui

“…Compared to other optimization algorithms such as genetic algorithm (GA) and whale optimization algorithm (WOA), the BWO algorithm demonstrates significant per-formance, with faster running speed, stronger stability, and greater robustness. …”
Get full text

VSG-FC: A Combined Virtual Sample Generation and Feature Construction Model for Effective Prediction of Surface Roughness in Polishing Processes by Dapeng Yang, Shenggao Ding, Lifang Pan, Yong Xu

“…To address this issue, a novel surface roughness prediction model, named VSG-FC, is proposed in this paper that integrates Genetic Algorithm-driven Virtual Sample Generation (GA-VSG) and Genetic Programming-driven Feature Construction (GP-FC) to overcome data scarcity. …”
Get full text

A Hybrid Method for SOC Estimation of Power Battery by Jiliang Yi, Xuechun Zhou, Jin Zhang, Zhongqi Li

“…Simulation results show that the estimated SOC error of the proposed algorithm is less than 1.6% and the convergence time is within 70 s. …”
Get full text

DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

Get full text

Acoustic Tomography of the Atmosphere: A Large-Eddy Simulation Sensitivity Study by Emina Maric, Bumseok Lee, Regis Thedin, Eliot Quon, Nicholas Hamilton

“…Acoustic tomography (AT) offers a promising approach that utilizes sound travel times between an array of transducers to reconstruct turbulence fields. This study presents a systematic evaluation of the time-dependent stochastic inversion (TDSI) algorithm for AT using synthetic travel-time measurements derived from large-eddy simulation (LES) fields under both neutral and convective atmospheric boundary-layer conditions. …”
Get full text

Development and Deployment of THEIA: A Compact Underwater Multispectral Imaging System by S. Spanos, C. Antoniou, V. Ntouskos, V. Ntouskos, A. Mallios, P. Nomikou, K. Karantzalos

“…This enables detailed spectral mapping and 3D reconstructions of underwater scenes. High resolution multispectral images are obtained via a Deep Image Prior-based demosaicing algorithm that enhances the multispectral data resolution without relying on external training. …”
Get full text

An in vivo microscopy dataset for the characterization of leukocyte death by Alain Pulfer, Diego Ulisse Pizzagalli, Miguel Palomino Segura, Nina Germic, Tommaso Virgilio, Mauro Di Pilato, Pau Carrillo Barbera, Elisa Palladino, Paola Antonello, Marcus Thelen, Hans-Uwe Simon, Rolf Krause, Santiago F. Gonzalez

“…However, the limited throughput of this technology, together with a lack of openly accessible datasets, affects the development of algorithms for the automatic detection and characterization of cell death, which in turn require the integration of extensive and curated datasets. …”
Get full text

Physics-Informed Decoupled Calibration for Fourier Ptychographic Microscopy by Mingdi Liu, Junzhao Liang, Yanxiong Wu, Zicong Luo, Rui Xie, Jiaxiong Luo, Lisong Yan

“…To address this, we propose a physically decoupled correction framework integrating convolutional neural network (CNN), simulated annealing (SA) algorithms, and GPU parallel acceleration. …”
Get full text

Transformers deep learning models for missing data imputation: an application of the ReMasker model on a psychometric scale by Monica Casella, Nicola Milano, Pasquale Dolce, Davide Marocco

“…A psychometric dataset from the COVID distress repository was used, with imputation performance assessed through the Root Mean Squared Error (RMSE) between the original and imputed data matrices.ResultsResults indicate that machine learning techniques, particularly ReMasker, achieve superior performance in terms of reconstruction error compared to conventional imputation techniques across all tested scenarios.DiscussionThis finding underscores the potential of transformer-based models to provide robust imputation in psychometric research, enhancing data integrity and generalizability.…”
Get full text

RIS-assisted anti-spatial aliasing direct localization in NLOS scenarios via spatio-temporal-frequency information fusion by Jingjing Li, Jianhui Wang, Lihao Liu, Weijia Cui, Chunxiao Jian

“…The STFIF framework integrates three key components: (1) sparse signal reconstruction via semi-definite programming for spatial domain parameter estimation, (2)frequency difference processing to suppress spatial aliasing and artifact targets, and (3) temporal-domain information exploitation through RIS’s time-varying configurations. …”
Get full text

Finite Volume Incompressible Lattice Boltzmann Framework for Non-Newtonian Flow Simulations in Complex Geometries by Akshay Dongre, John Ryan Murdock, Song-Lin Yang

“…To address these issues, we developed an incompressible LBM scheme that recovers the incompressible Navier–Stokes equations (NSEs) and integrated it into a finite volume (FV) framework to handle unstructured meshes while retaining the simplicity of the LBM algorithm. …”
Get full text

3D Human Motion Capture Method Based on Computer Vision by A. D. Obukhov, D. L. Dedov, E. O. Surkova, I. L. Korobova

“…Based on the skeletal points obtained from the neural network, a three-dimensional reconstruction of the human body model was carried out using various triangulation algorithms.Results. …”
Get full text

Robust Low-Overlap Point Cloud Registration via Displacement-Corrected Geometric Consistency for Enhanced 3D Sensing by Xin Wang, Qingguang Li

“…Experimental results demonstrate that our method outperformed existing approaches in the aspects of registration recall, rotation error, and algorithm robustness under low-overlap conditions. …”
Get full text

Deciphering plant transcriptomes: Leveraging machine learning for deeper insights by Bahman Panahi, Rasmieh Hamid, Hossein Mohammad Zadeh Jalaly

“…This review addresses the integration of machine learning (ML) techniques in plant transcriptomics and emphasizes their potential to transform data analysis and interpretation. …”
Get full text

A reversible and robust hybrid image steganography framework using radon transform and integer lifting wavelet transform by B. M. El-den, Walid Raslan

“…High Normalized Correlation Coefficient (NCC) values close to 1 further confirm the algorithm’s reversibility and integrity, even under common attacks such as Gaussian Noise, Poisson Noise, Blurring, and Cropping. …”
Get full text

Large-Scale Point Cloud Semantic Segmentation with Density-Based Grid Decimation by Liangcun Jiang, Jiacheng Ma, Han Zhou, Boyi Shangguan, Hongyu Xiao, Zeqiang Chen

“…To address these issues, this paper proposes <i>RT-Net</i>, a novel framework that incorporates a density-based grid decimation algorithm for efficient preprocessing of outdoor point clouds. …”
Get full text

Population-Level Cell Trajectory Inference Based on Gaussian Distributions by Xiang Chen, Yibing Ma, Yongle Shi, Yuhan Fu, Mengdi Nan, Qing Ren, Jie Gao

“…CPvGTI utilizes a Gaussian mixture model, optimized by the Expectation–Maximization algorithm, to construct new cell populations in the original data space. …”
Get full text

Corrosion Monitoring in Automotive Lap Joints Based on Imaging Methods of Lamb Waves by Yunmeng Ran, Cheng Qian, Xiangfen Wang, Weifang Zhang, Rongqiao Wang

“…Second, based on the identified bolt positions, the weighted Reconstruction Algorithm for Probabilistic Inspection of Damage (RAPID) is applied to the Lamb wave signals acquired before and after corrosion, enabling precise imaging of the actual positions of the corroded bolts. …”
Get full text