Exact Nonlinear Spectral Analysis of Nonsmooth WENO-JS Solutions by Tamer H. M. A. Kasem

“…The overdamping of the combination of WENO-JS with the popular third-order total variation diminishing Runge-Kutta method is discovered. …”
Get full text

Deep generative model for the inverse design of Van der Waals heterostructures by Shikun Gao, Qinyuan Huang, Chen Huang, Cheng Li, Kaihao Liu, Baisheng Sa, Yadong Yu, Dezhen Xue, Zhe Liu, Mengyan Dai

“…To address the challenges of traditional experimental methods relying on trial-and-error and existing models struggling to incorporate target property constraints, this work achieves breakthroughs through three innovative stages: (1) introduce the SE(3)-equivariant graph neural network EquiformerV2 as the encoder-decoder within the CDVAE framework to enhance the generation quality of the model; (2) design a module integrating Low-rank Multimodal Fusion and Generative Adversarial Networks to map properties and structures into a joint latent space; and (3) for the first time propose a generative model for the vdW heterostructures, by conducting experimental validation on the dataset constructed from Janus III–VI vdW heterostructures. …”
Get full text

Artificial Intelligence for Fault Detection of Automotive Electric Motors by Federico Soresini, Dario Barri, Ivan Cazzaniga, Federico Maria Ballo, Gianpiero Mastinu, Massimiliano Gobbi

“…The 1D CNN AE outperformed the other networks in fault detection, showing high accuracy, stability and computational efficiency. The model is integrated into an algorithm for semi-real-time fault monitoring. …”
Get full text

A data-driven reduced-order model for fast prediction of resonant acoustic flow under vertical vibration based on secondary decomposition by Yuqi Gao, Ning Ma, Shifu Zhu, Pengchao Zhang, Hongxing Liu, Zhongyuan Xie

“…By integrating secondary decomposition techniques commonly used in time series prediction with ROM technology, this paper presents a non-intrusive flow field prediction method. …”
Get full text

BuDDI: Bulk Deconvolution with Domain Invariance to predict cell-type-specific perturbations from bulk. by Natalie R Davidson, Fan Zhang, Casey S Greene

“…BuDDI utilizes domain adaptation techniques to effectively integrate available corpora of case-control bulk and reference scRNA-seq observations to infer cell-type-specific perturbation effects. …”
Get full text

A Survey on Extremal Problems of Eigenvalues by Ping Yan, Meirong Zhang

“…To solve these extremal problems, we will reveal some deep results on the dependence of eigenvalues on potentials. Moreover, the variational method for the approximating extremal problems on the balls of the spaces Lα([0,1],ℝ), 1<α<∞ will be used. …”
Get full text

Reformulating polarized radiative transfer for astrophysical applications (I). A formalism allowing non-local Magnus solutions by Edgar S. Carlin, Sergio Blanes, Fernando Casas

“…A key challenge in multidimensional NLTE diagnosis is to integrate the radiative transfer equation (RTE) efficiently, but current methods are local, limited to constant propagation matrices. …”
Get full text

Generation driven understanding of localized 3D scenes with 3D diffusion model by Hao Sun, Junping Qin, Zheng Liu, Xinglong Jia, Kai Yan, Lei Wang, Zhiqiang Liu, Shaofei Gong

“…In addition to accurately predicting the distribution of the noise tensor, the framework significantly enhances the understanding of localized scenes by effectively integrating spatial context information. Specifically, 3D-UDDPM combines Markov chain Monte Carlo (MCMC) sampling and variational inference methods to reconstruct clear structural details in a stepwise backward inference manner, thereby driving the generation and understanding of local 3D scenes by internalizing geometric features as a priori knowledge. …”
Get full text

Generative AI-Enhanced Cybersecurity Framework for Enterprise Data Privacy Management by Geeta Sandeep Nadella, Santosh Reddy Addula, Akhila Reddy Yadulla, Guna Sekhar Sajja, Mohan Meesala, Mohan Harish Maturi, Karthik Meduri, Hari Gonaygunta

“…By leveraging Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and traditional anomaly detection methods, the framework generates synthetic datasets that mimic real-world data, ensuring privacy and regulatory compliance. …”
Get full text

Identification of Exposed Submarine Cable Status based on Optimized VMD-GAF-MCNN for Multi Sensor Fusion by WANG Wei, WANG Wendong, YOU Peng, XIAO Zexin, AN Bowen, CUI Guiyan

“…【Methods】The optimized VMD-GAF-MCNN method proposed in this paper integrates signal processing and deep learning techniques. …”
Get full text

Multi-Modal Deep Embedded Clustering (MM-DEC): A Novel Framework for Mineral Detection Using Hyperspectral Imagery by Priyanka Nair, Devesh Kumar Srivastava, Roheet Bhatnagar

“…To this end, we propose Multi-Modal Deep Embedded Clustering (MM-DEC) approach, an innovative unsupervised learning framework that integrates Convolutional Autoencoders(CAEs), Variational Autoencoders (VAEs), and Gray Level Co-occurrence Matrix (GLCM) based texture extraction that is able to exploit the spatial, spectral, and texture features of mineral in consideration We demonstrate the MM-DEC potential to identify hematite prospects in the mineralized Kiriburu area of Jharkhand, India using EO-1 Hyperion hyperspectral data. …”
Get full text

A Transductive Zero-Shot Learning Framework for Ransomware Detection Using Malware Knowledge Graphs by Ping Wang, Hao-Cyuan Li, Hsiao-Chung Lin, Wen-Hui Lin, Nian-Zu Xie

“…This study proposes a Transductive Zero-Shot Learning (TZSL) model based on the Vector Quantized Variational Autoencoder (VQ-VAE) architecture, integrated with a malware knowledge graph constructed from sandbox behavioral analysis of ransomware families. …”
Get full text

Dataset Construction Using Item Response Theory for Educational Machine Learning Competitions by Takeaki Sakabe, Yuko Sakurai, Emiko Tsutsumi, Satoshi Oyama

“…Machine learning has been integrated into numerous applications and has emerged as one of the most transformative technologies in our daily lives. …”
Get full text

Latent Space Search-Based Adaptive Template Generation for Enhanced Object Detection in Bin-Picking Applications by Songtao Liu, Yaonan Zhu, Tadayoshi Aoyama, Masayuki Nakaya, Yasuhisa Hasegawa

“…Furthermore, we integrated our proposed method with YOLO, and the experimental results indicate that our method effectively improves YOLO’s detection performance.…”
Get full text

Artificial intelligence utilization in cancer screening program across ASEAN: a scoping review by Hein Minn Tun, Hanif Abdul Rahman, Lin Naing, Owais Ahmed Malik

“…Purpose This study aims to identify and evaluate different cancer screening programs across ASEAN, with a focus on assessing the integration and impact of AI in these programs. Methods A scoping review was conducted using PRISMA-ScR guidelines to provide a comprehensive overview of cancer screening programs and AI usage across ASEAN. …”
Get full text

Perceptions of Competency-Based Medical Education (CBME) Curriculum Among Indian Medical Students: A Cross-Sectional Analysis from ANIIMS, Port Blair by Mudit Sharma, Amit Kumar Kamboj, Rashmi Ramanathan, Vivin Vincent, Jeevithan Shanmugam

“…A structured questionnaire was used to gather students' feedback on various CBME components, including foundational courses, learning strategies, integration, ethics, and assessment methods. Descriptive and inferential statistical analyses were performed, with Chi-square tests and ANOVA to examine the association between student responses and their year of joining. …”
Get full text

Effects of sleep deprivation on heart rate variability: a systematic review and meta-analysis by Suling Zhang, Xiaodan Niu, Jinke Ma, Jinke Ma, Xin Wei, Xin Wei, Jun Zhang, Jun Zhang, Weiping Du

Get full text

Enhanced Noise Suppression in Partial Discharge Signals via SVD and VMD with Wavelet Thresholding by Hailong Wang, Yongliang Yao, Guangdong Zhang, Jidong Pan, Longlong Gao, Hai Jin, Chuang Wang

“…This article introduces an advanced denoising algorithm integrating SVD, variational mode decomposition (VMD), and wavelet thresholding to effectively address mixed noise in on-site power transformer assessments. …”
Get full text

Effects of Crack on Vibration Characteristics of Mistuned Rotated Blades by Hailong Xu, Zhongsheng Chen, Yongmin Yang, Limin Tao, Xuefeng Chen

Get full text

Using Structured Observation and Content Analysis to Explore the Presence of Older People in Public Fora in Developing Countries by Geraldine Nosowska, Kevin McKee, Lena Dahlberg

“…This exploratory study used structured observation and content analysis to examine the presence of older people in public fora and considered the methods’ potential for understanding older people’s social integration and inclusion. …”
Get full text