Divide and Conquer: Automatic Detection of the Thalamus to Empower DBS Physiological Navigation to the Subthalamic Region by Stefanie Glowinsky, Zvi Israel, Sami Heymann, Hagai Bergman

“…The performance of both algorithms was compared to the commercially available HaGuide STN-detection algorithm. …”
Get full text

PathNetDRP: a novel biomarker discovery framework using pathway and protein–protein interaction networks for immune checkpoint inhibitor response prediction by Dohee Lee, Jaegyoon Ahn, Jonghwan Choi

“…Conclusion The biomarkers identified by PathNetDRP demonstrated robust predictive performance across cross-validation and independent validation datasets, suggesting their potential utility in clinical applications. …”
Get full text

Monitoring Gypsiferous Soils by Leveraging Advanced Spaceborne Hyperspectral Imagery via Spectral Indices and a Machine Learning Approach by Najmeh Rasooli, Saham Mirzaei, Stefano Pignatti

“…This study evaluates the performance of PRISMA (PRecursore IperSpettrale della Missione Applicativa) and EnMAP (Environmental Mapping and Analysis Program) satellites in estimating soil gypsum content and compares models trained on satellite imagery versus lab data. …”
Get full text

Privacy-Preserving Hierarchical Reinforcement Learning Framework for Task Offloading in Low-Altitude Vehicular Fog Computing by Zhiwei Wei, Jingxin Mao, Bing Li, Rongqing Zhang

“…The framework consists of two levels: the local level provides Deep Reinforcement Learning (DRL) models for task vehicles and UAVs, and the cross-regional contextual level for coordinating the local experiences. …”
Get full text

Extended reality technology for emergency medical service training: systematic review by Zhan Zhang, Maryam Moeini Meybodi, Aishwarya Ingale, Liza Karimova, Margarita Vinnikov

“…The studies primarily assessed four aspects of the implemented immersive technologies: technical feasibility, training effectiveness (e.g., clinical performance, knowledge acquisition), cost-effectiveness (e.g., cost savings, business models), and user experience (e.g., immersion, presence, cognitive load, usability, acceptance). …”
Get full text

Millimeter waves in communication systems as a prospect for the development and application of robotic means and complexes by Vladislav R. Skrynskij

“…These factors emphasize the need for in-depth study of the features and advantages of millimeter-wave band application in radio communications. …”
Get full text

Learning to Be a Transformer to Pinpoint Anomalies by Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti, Luigi Di Stefano

“…Evaluating our method also by these metrics reveals its neatly superior performance.…”
Get full text

Short-Term Photovoltaic Power Forecasting Using PV Data and Sky Images in an Auto Cross Modal Correlation Attention Multimodal Framework by Chen Pan, Yuqiao Liu, Yeonjae Oh, Changgyoon Lim

“…To this end, this paper proposes an end-to-end innovative deep learning framework for data fusion based on multimodal learning, which utilizes a new auto cross modal correlation attention (ACMCA) mechanism designed in this paper for feature extraction and fusion by combining historical PV power generation time-series data and sky image data, thereby enhancing the model’s prediction performance under complex weather conditions. …”
Get full text

Optimising the Selection of Input Variables to Increase the Predicting Accuracy of Shear Strength for Deep Beams by Mohammed Majeed Hameed, Faidhalrahman Khaleel, Mohamed Khalid AlOmar, Siti Fatin Mohd Razali, Mohammed Abdulhakim AlSaadi

“…The LWLR-GAITH model showed 29.15% to 47.88% higher performance accuracy in terms of root mean square error (RMSE) than the other hybrid models during the test phase. …”
Get full text

Enhancing Flow Direction in Geothermal Fields Using Sentinel-1 Data for Sustainability Water Management by Utama Widya, Anjasmara Ira Mutiara, Handayani Hepi Hapsari, Indriani Rista Fitri

“…Model evaluation, conducted through a confusion matrix, reveals high performance, with average Overall Accuracy, Kappa Accuracy, User Accuracy, Sensitivity, and Specificity all at 0.98 or above. …”
Get full text

OBTPN: A Vision-Based Network for UAV Geo-Localization in Multi-Altitude Environments by Nanxing Chen, Jiqi Fan, Jiayu Yuan, Enhui Zheng

“…Subsequently, we devised a feature fusion head, which enhanced the model’s capacity to process multi-scale information. …”
Get full text

RETINA: Reconstruction-based pre-trained enhanced TransUNet for electron microscopy segmentation on the CEM500K dataset. by Cheng Xing, Ronald Xie, Gary D Bader

“…Current approaches usually use either convolutional or transformer-based neural networks for image feature extraction. We developed the RETINA method, which combines pre-training on the large, unlabeled CEM500K EM image dataset with a hybrid neural-network model architecture that integrates both local (convolutional layer) and global (transformer layer) image processing to learn from manual image annotations. …”
Get full text

Hybrid Graph Representation and Learning Framework for High-Level Synthesis Design Space Exploration by Pouya Taghipour, Eric Granger, Yves Blaquiere

“…Experimental results show that our framework can attain a higher level of performance than the state-of-the-art baseline models over unseen designs, with an average relative improvement of 47.4 % and 16.0 % for resource utilization and performance metrics, respectively. …”
Get full text

Vehicle Motion Sickness Profiling Through Interpretable Gradient Boosting: A Framework for Advanced Driver Assistance Systems by Jon Ander Ruiz Colmenares, Estibaliz Asua

“…CatBoost also demonstrates superior interpretability by providing balanced and meaningful feature importance distributions. The combination of advanced performance and interpretability allowed the model to accurately detect diverse motion sickness-inducing scenarios and uncover critical risk patterns.…”
Get full text

Modulation recognition method based on multiscale convolutional fusion coding networks by LI Guojun, ZHU Siyuan, ZHENG Jianzhong, WANG Jie, YE Changrong

“…Experimental results demonstrated the model's robust stability and generalization capability, showing minimal performance variation under different test batch sizes with fixed training batches. …”
Get full text

Clustering analysis of Yue opera character tone trends based on quantum particle swarm optimization for fuzzy C-means. by Yuhang Zhang, Xiaofeng Wu, Jiawei Xu, Zihao Ning, Xiao Han

“…Linear interpolation is applied to process the time series data of vocal melodies, addressing inconsistent feature dimensions. The second-order difference method extracts tonal trend features. …”
Get full text

Innovation indicators based on firm websites-Which website characteristics predict firm-level innovation activity? by Janna Axenbeck, Patrick Breithaupt

“…Website characteristics are measured by several data mining methods and are used as features in different Random Forest classification models that are compared against each other. …”
Get full text

Voxel-level radiomics and deep learning for predicting pathologic complete response in esophageal squamous cell carcinoma after neoadjuvant immunotherapy and chemotherapy by Inigo Bermejo, Jian Zheng, Zhen Zhang, Jian Zeng, Min Fang, Leonard Wee, Andre Dekker, Tianchen Luo, Meng Yan, Haixia Shen, Kaiyi Tao, Jingping Yuan, Dirk De Ruysscher, Wencheng Zhang, Youhua Jiang, Yongling Ji

“…Model performance was evaluated using accuracy, area under the curve (AUC), sensitivity, specificity, and prognostic stratification capabilities. …”
Get full text

Kinematics Analysis of a Parallel Mixing Machine and Its Scale Optimal Design by Chen Jing, Guo Qian, Zhu Wei

“…A forward motion solution model of the mechanism was established by using the topological feature motion modeling method based on the coupling degree and verified through simulation models. …”
Get full text

Optimized hybrid SVM-RF multi-biometric framework for enhanced authentication using fingerprint, iris, and face recognition by Sonal, Ajit Singh, Chander Kant

“…Additionally, integrating feature-level fusion and utilizing methods such as Gabor filters for feature extraction enhances overall performance of the model. …”
Get full text