Effect of Time-of-Flight and Regularized Reconstructions on Quantitative Measurements and Qualitative Assessments in Newly Diagnosed Prostate Cancer With F-Fluorocholine Dual Time... by Spencer C. Behr MD, Brett J. Mollard MD, Jaewon Yang PhD, Robert R. Flavell MD, PhD, Randall A. Hawkins MD, PhD, Youngho Seo PhD

“…The lesion to background ratio was not improved by TOF reconstruction, while RIR improved the lesion to background ratio significantly ( P < .05). …”
Get full text

Automatic Analysis of Ultrasound Images to Estimate Subcutaneous and Visceral Fat and Muscle Tissue in Patients with Suspected Malnutrition by Antonio Cuesta-Vargas, José María Arjona-Caballero, Gabriel Olveira, Daniel de Luis Román, Diego Bellido-Guerrero, Jose Manuel García-Almeida

“…<b data-eusoft-scrollable-element="1">Conclusions:</b> These findings highlight the system’s potential for clinical use while emphasizing the need for further algorithmic refinements to improve precision in area calculations.…”
Get full text

C2L3-Fusion: An Integrated 3D Object Detection Method for Autonomous Vehicles by Thanh Binh Ngo, Long Ngo, Anh Vu Phi, Trung Thị Hoa Trang Nguyen, Andy Nguyen, Jason Brown, Asanka Perera

“…Successfully implemented on the Nvidia Jetson AGX Xavier embedded platform, <b>C2L3-Fusion</b> maintains real-time performance while enhancing robustness, making it highly suitable for self-driving vehicles. …”
Get full text

RGB-T Object Detection With Failure Scenarios by Qingwang Wang, Yuxuan Sun, Yongke Chi, Tao Shen

“…Currently, RGB-thermal (RGB-T) object detection algorithms have demonstrated excellent performance, but issues such as modality failure caused by fog, strong light, sensor damage, and other conditions can significantly impact the detector&#x0027;s performance. …”
Get full text

A review of deep learning in blink detection by Jianbin Xiong, Weikun Dai, Qi Wang, Xiangjun Dong, Baoyu Ye, Jianxiang Yang

“…By overcoming the challenges identified in this study, the application prospects of deep learning-based blink detection algorithms will be significantly enhanced.…”
Get full text

Different oscillatory mechanisms of dementia-related diseases with cognitive impairment in closed-eye state by Talifu Zikereya, Yuchen Lin, Zhizhen Zhang, Ignacio Taguas, Kaixuan Shi, Chuanliang Han

“…Moreover, our analysis revealed that the relative theta power was significantly and negatively correlated with the Mini Mental State Examination (MMSE) scores, while the relative alpha and beta power showed a significant positive correlation. …”
Get full text

White Blood Cell Detection Based on FBDM-YOLOv8s by Borui Sun, Xiangsuo Fan, Jie Meng, Jinfeng Wang, Huajin Chen, Lei Liu

“…Additionally, to attain diversified feature extraction, this article introduces the DBBNCSPELAN4 module, which can perform diversified feature extraction in a multi-branch manner while lightweighting the model, reducing the number of parameters, and speeding up computation. …”
Get full text

Fiber Sensing in the 6G Era: Vision Transformers for <i>ϕ</i>-OTDR-Based Road-Traffic Monitoring by Robson A. Colares, Leticia Rittner, Evandro Conforti, Darli A. A. Mello

“…Backscattered traces are consolidated into space–time matrices, illustrating traffic patterns and enabling analysis through image processing algorithms. The ground truth is established by traffic parameters obtained by processing video camera images monitoring the same street using the YOLOv8 model. …”
Get full text

Chlormethine Gel for Treatment of Patients with Mycosis Fungoides: Best Practices and Guidance to Clinicians by Larisa Geskin, Christiane Querfeld, Emmilia Hodak, Neda Nikbakht, Evangelia Papadavid, Marco Ardigò, Ulrike Wehkamp, Martine Bagot

“…Abstract Background Mycosis fungoides (MF) is the most common form of cutaneous T cell lymphoma. While multiple guidelines provide treatment recommendations, there are currently no clear treatment algorithms for MF. …”
Get full text

Integrating IT and OT for Cybersecurity: A Stochastic Optimization Approach via Attack Graphs by Gonzalo Martinez Medina, Krystel K. Castillo-Villar, Tanveer Hossain Bhuiyan

“…A hybrid solution approach that integrates the Sample Average Approximation (SAA) and Benders Decomposition (BD) algorithms is used to efficiently solve the resulting large-scale problem. …”
Get full text

Volcano activity classification from synergy of EO data and machine learning: an application to Mount Etna volcano (Italy) by C. Petrucci, G. Romoli, A. Pignatelli, E. Trasatti, F. Zuccarello, F. Greco, M. Dozzo, G. Bilotta, F. Spina, G. Ganci

“…These findings are one of the first attempts of integrating satellite data with Artificial Intelligence (AI) to enhance the accuracy of volcanic state predictions and mitigate risks associated with eruptions, while emphasizing the need for rigorous validation against well-documented case studies.…”
Get full text

Small Target Ewe Behavior Recognition Based on ELFN-YOLO by Jianglin Wu, Shufeng Li, Baoqin Wen, Jing Nie, Na Liu, Honglei Cen, Jingbin Li, Shuangyin Liu

“…ELFN strengthens multiple layers with fewer parameters, while the attention mechanism further emphasizes the channel information interaction based on ELFN. …”
Get full text

On the Synergy of IoMT Devices and Ceiling-Mounted Systems for Advanced Medical Data Analytics by Andreas Andreou, Constandinos X. Mavromoustakis, Evangelos K. Markakis, Athina Bourdena, George Mastorakis

“…Specifically, Twin-Delayed Deep Deterministic Policy Gradients (TD3) and Soft Actor-Critic (SAC) algorithms are adopted to optimize task scheduling and system decisions in dynamic, resource-constrained settings. …”
Get full text

Impact of tertiary lymphoid structure-associated biomarkers on pancreatic cancer via a dual-disease analysis of psoriasis and pancreatic cancer by Hao Yu, Quan Yuan, Liu-Xing Feng, Jia-Huan Xu, Shen-Yuan Zhan, Zhi-min Li, Shuang-Jia Wang

“…GBP2 was linked to poor prognosis, while ZNF814 was associated with favorable outcomes. …”
Get full text

Prediction of Voice Therapy Outcomes Using Machine Learning Approaches and SHAP Analysis: A K-VRQOL-Based Analysis by Ji Hye Park, Ah Ra Jung, Ji-Na Lee, Ji-Yeoun Lee

“…LightGBM demonstrates the best overall performance, particularly in the total domain (R² = 32.54%), while GB excels in the physical domain. The emotional domain shows relatively low predictive power across the models. …”
Get full text

Differentiable Deep Learning Surrogate Models Applied to the Optimization of the IFMIF-DONES Facility by Galo Gallardo Romero, Guillermo Rodríguez-Llorente, Lucas Magariños Rodríguez, Rodrigo Morant Navascués, Nikita Khvatkin Petrovsky, Rubén Lorenzo Ortega, Roberto Gómez-Espinosa Martín

“…This approach has resulted in models that are able of approximating complex simulations with high accuracy (less than 17% percentage error for the worst case) and significantly reduced inference time (ranging from 2 to 6 orders of magnitude) while being differentiable. The substantial speed-up factors enable the application of online reinforcement learning algorithms, and the differentiable nature of the models allows for seamless integration with differentiable programming techniques, facilitating the solving of inverse problems to find the optimal parameters for a given objective. …”
Get full text

A novel hybrid deep learning approach for super-resolution and objects detection in remote sensing by Muhammad Asif, Mohammad Abrar, Faizan Ullah, Abdu Salam, Farhan Amin, Isabel de la Torre, Mónica Gracia Villar, Helena Garay, Gyu Sang Choi

“…Advanced StyleGAN enhances image resolution, facilitating the detection of small and occluded objects, while Swin Transformer employs hierarchical attention mechanisms for effective feature extraction. …”
Get full text

Design of a Full-Range Capacitive Sensor Extensometer Using a High-Precision Ultrasonic Motor by Chen Dou, Wenbo Wang, Hong Li, Yunkai Dong, Weiwei Zhan, Liheng Wu, Jiaxin Chen

“…The system integrates an ultrasonic motor with high-sensitivity capacitive sensors, enhanced by a grating scale and PID control algorithms. By enabling real-time signal processing and adaptive correction, the proposed design ensures a wide measurement range while significantly improving the measurement stability and accuracy. …”
Get full text

Investigation and Implementation of Multi-Stereo Camera System Integration for Robust Localization in Urban Environments by A. Rai, E. Mounier, E. Mounier, P. R. M. de Araujo, A. Noureldin, A. Noureldin, K. Jain

“…This approach offers a cost-effective alternative to LiDAR-based systems while ensuring adequate accuracy.…”
Get full text

Beyond Precision and Recall: Measuring Search Engine Consistency Using Rank Stability by Krishnan Batri, Rajermani Thinakaran, S. Lakshmi, R. Sowrirajan, Sivaram Murugan

“…Traditional information retrieval metrics assess document relevance but neglect ranking stability&#x2014;a critical factor in today&#x2019;s dynamic web environments where search algorithms constantly evolve. We present Rmeasure, a comprehensive framework that quantifies search engine consistency by analyzing both overlapping and non-overlapping results through the lens of psychophysical principles, particularly the Weber-Fechner Law. …”
Get full text