Deep representation learning using layer-wise VICReg losses by Joy Datta, Rawhatur Rabbi, Puja Saha, Aniqua Nusrat Zereen, M. Abdullah-Al-Wadud, Jia Uddin

“…The architecture of the model is selected to be pyramidal, enabling effective feature extraction. …”
Get full text

Robust Fault Detection in Industrial Machines Using Hybrid Transformer-DNN With Visualization via a Humanoid-Based Telepresence Robot by Amir R. Ali, Hossam Kamal

“…These results demonstrate the model’s superior performance and robust fault identification across diverse datasets compared to other models. …”
Get full text

The data dimensionality reduction and bad data detection in the process of smart grid reconstruction through machine learning. by Bo Yu, Zheng Wang, Shangke Liu, Xiaomin Liu, Ruixin Gou

“…The FDIAs detection algorithm model based on CNN-GRU shows good detection effects under high attack intensity, with an accuracy rate of more than 95%, and its performance is better than other traditional detection algorithms. …”
Get full text

Evaluation of machine learning and deep learning algorithms for fire prediction in Southeast Asia by Aditya Eaturu, Krishna Prasad Vadrevu

“…Conversely, the ConvLSTM excels in countries with complex spatiotemporal dynamics, like Laos, Myanmar, and Vietnam. The CNN-LSTM hybrid model also performed well in Cambodia, suggesting a need for a balanced approach in areas requiring both spatial and temporal feature extraction. …”
Get full text

PO08 | Efficacy and safety of thromboprophylaxis in hospitalized hematological patients: a monocenter retrospective study

“…Survival analyses were performed using Kaplan-Meier estimates, Cox proportional hazards regression, and Random Forest Survival modeling. …”
Get full text

Influence of Emergent Vegetation Layout on Flow Pattern in a Rectangular Shallow Basin by Junnan LYU, Yuxuan JIANG, Zhidong YAO, Chen YE, Xufeng YAN

“…Experimental data from existing literature, specifically velocity distributions, are initially utilized for model validation. In addition, the study examines the independence of results from grid size to ensure modeling consistency.Based on the validation of the velocity profile from flume tests, the two-dimensional shallow water model can reliably simulate flow within shallow pools and successfully capture the flow patterns of circulations where the main stream adheres to one sidewall while developing asymmetrically on both sides. …”
Get full text

Deep Reinforcement Learning-Based Motion Control Optimization for Defect Detection System by Yuhuan Cai, Liye Zhao, Xingyu Chen, Zhenjun Li

“…To address these challenges, this study proposes a deep reinforcement learning-based control scheme, leveraging DRL’s capabilities to optimize system performance. Specifically, the TD3 algorithm, featuring a dual-critic structure, is employed to enhance control precision within predefined state and action spaces. …”
Get full text

Development of a Compliant Pediatric Upper-Limb Training Robot Using Series Elastic Actuators by Jhon Rodriguez-Torres, Paola Niño-Suarez, Mauricio Mauledoux

“…This study explores the role of SEAs as a central component for imparting compliance and backdrivability in robotic systems designed for upper-limb training. A dynamic model is proposed, incorporating interaction with the user’s limb, along with a computed torque control strategy featuring integral action. …”
Get full text

Satellite Remote Sensing Grayscale Image Colorization Based on Denoising Generative Adversarial Network by Qing Fu, Siyuan Xia, Yifei Kang, Mingwei Sun, Kai Tan

“…Aiming to solve the challenges of difficult training, mode collapse in current generative adversarial networks (GANs), and the efficiency issue of requiring multiple samples for Denoising Diffusion Probabilistic Models (DDPM), this paper proposes a satellite remote sensing grayscale image colorization method using a denoising GAN. …”
Get full text

Adaptive Video Anomaly Detection by Attention-Based Relational Knowledge Distillation by Burcak Asal, Ahmet Burak Can

“…We adapted our knowledge distillation methods to two state-of-the-art models designed for anomaly detection task. Our extensive experiments on two public datasets show that not only our best version model achieves robust performance with a frame-level AUC of 80.22 on UCF-Crime and video-level AUC of 78.20 on RWF-2000 datasets but also the proposed distillation methods improve the performance while reducing catastrophic forgetting problem.…”
Get full text

LimeSoDa: A dataset collection for benchmarking of machine learning regressors in digital soil mapping by Jonas Schmidinger, Sebastian Vogel, Viacheslav Barkov, Anh-Duy Pham, Robin Gebbers, Hamed Tavakoli, Jose Correa, Tiago R. Tavares, Patrick Filippi, Edward J. Jones, Vojtech Lukas, Eric Boenecke, Joerg Ruehlmann, Ingmar Schroeter, Eckart Kramer, Stefan Paetzold, Masakazu Kodaira, Alexandre M.J.-C. Wadoux, Luca Bragazza, Konrad Metzger, Jingyi Huang, Domingos S.M. Valente, Jose L. Safanelli, Eduardo L. Bottega, Ricardo S.D. Dalmolin, Csilla Farkas, Alexander Steiger, Taciara Z. Horst, Leonardo Ramirez-Lopez, Thomas Scholten, Felix Stumpf, Pablo Rosso, Marcelo M. Costa, Rodrigo S. Zandonadi, Johanna Wetterlind, Martin Atzmueller

“…In contrast, CatBoost and RF exhibited considerably better performances when applied to datasets with a moderate number (<20) of features. …”
Get full text

Hyperspectral Imaging and Machine Learning for Diagnosing Rice Bacterial Blight Symptoms Caused by <i>Xanthomonas oryzae</i> pv. <i>oryzae</i>, <i>Pantoea ananatis</i> and <i>Enter... by Meng Zhang, Shuqi Tang, Chenjie Lin, Zichao Lin, Liping Zhang, Wei Dong, Nan Zhong

“…One-dimensional convolutional neural networks (1DCNNs) were employed to construct a classification model, integrating various spectral preprocessing techniques and feature selection algorithms for comparison. …”
Get full text

Truck and Unmanned Vehicle Routing Problem with Time Windows: A Satellite Synchronization Perspective by Hongqi Li, Jiamin Zhao, Zhuopeng Zhan

“…Based on generated instances and benchmark instances, computational experiments are conducted to evaluate the performance of the intersatellite synchronization, the performance of the developed formulation, and the applicability of the hybrid algorithm.…”
Get full text

Nursing Value Analysis and Risk Assessment of Acute Gastrointestinal Bleeding Using Multiagent Reinforcement Learning Algorithm by Fang Liu, Xiaoli Liu, Changyou Yin, Hongrong Wang

“…Classification is performed using a fuzzy support vector machine (FSVM) classifier. …”
Get full text

Reduction of losses in dual‐permanent‐magnet‐excited Vernier machine by segmented stator for electric aircraft by Jinghua Ji, Chen Jia, Wenxiang Zhao, Zhijian Ling, Yu Zeng, Zongwang Li

“…The stator topology features and losses of both the original and segmented DPMEV machines are comparatively investigated. …”
Get full text

SwinTCS: A Swin Transformer Approach to Compressive Sensing with Non-Local Denoising by Xiuying Li, Haoze Li, Hongwei Liao, Zhufeng Suo, Xuesong Chen, Jiameng Han

“…Leveraging the Swin Transformer architecture, SwinTCS integrates a hierarchical feature representation strategy to enhance global contextual modeling while maintaining computational efficiency. …”
Get full text

Biomechanical justification of the choice of optimum mode for passing the individual pursuit race by A.N. Kolumbet, L.Y. Dudorova, N.A. Babina, S.G. Natroshvili, S.M. Chernovsky

“…The mode B should be considered as a model of passing a distance in preliminary races of individual pursuit. …”
Get full text

Shear wave velocity prediction using Long Short-Term Memory Network with generative adversarial mechanism. by Xingan Fu, Youhua Wei, Yun Su, Haixia Hu, Ji Zhang, Quan Wang

“…This synergistic architecture not only preserves sequential correlations but also enhances cross-domain adaptability through adversarial feature alignment. We validate the model's efficacy using logging data from two vertical wells in the South China Sea. …”
Get full text

DMformer: a transformer with denoising and multi-modal data fusion for enhancing BEV perception by Xuefeng Bao, Feng Liu, Yunli Chen, Yong Li, Rui Tian

“…This study introduces DMFormer, an innovative multi-modal BEV perception framework that employs Transformer architecture and a diffusion denoising model to tackle key challenges, including sensor noise, efficient fusion of multi-modal data, and modeling dynamic scenes. …”
Get full text

A Survey on Android Malware Detection Techniques Using Supervised Machine Learning by Safa J. Altaha, Ahmed Aljughaiman, Sonia Gul

“…The findings reveal that the existing researches utilize different ML models, features, and detection techniques, including static, dynamic, and hybrid approaches. …”
Get full text