Effectiveness of Individualized Health Education Interventions on Middle-aged and Elderly Patients with Chronic Diseases in the Community: a Cluster Randomized Controlled Trial by LI Xiaoze, SUN Guoqiang, SHEN Qiang, SONG Yan, WANG Hufeng

Get full text

Large-area urban TomoSAR method with limited a priori knowledge and a complex deep learning model by Haoxuan Duan, Yuzhou Liu, Hong Zhang, Peifeng Ma, Zhongqi Shi, Zihuan Guo, Yixian Tang, Fan Wu, Chao Wang

Get full text

A human visual cognitive mechanism based network for surface defect detection(基于人类视觉认知机制的表面缺陷检测) by 崔丽莎(CUI Lisha), 代润鹏(DAI Runpeng), 姜晓恒(JIANG Xiaoheng), 李飞蝶(LI Feidie), 陈恩庆(CHEN Enqing), 徐明亮(XU Mingliang)

“…提出了一种基于人类视觉认知机制的表面缺陷检测网络（HVCM-Net）。在宏观层面，模拟视网膜上中央凹和中央凹外区域的工作原理，提出了中央视觉分支和外周视觉分支并行的骨干网络，分别负责学习缺陷图像的高空间频率局部细节信息和低空间频率全局语义信息。…”
Get full text

Genetic insight into lung neuroendocrine tumors: Notch and Wnt signaling pathways as potential targets by Giulia Pecora, Camilla Mancini, Rossella Mazzilli, Virginia Zamponi, Stefano Telese, Stefano Scalera, Marcello Maugeri-Saccà, Ludovica Ciuffreda, Francesca De Nicola, Maurizio Fanciulli, Anna La Salvia, Massimiliano Mancini, Andrea Vecchione, Alessandra Siciliani, Mohsen Ibrahim, Diana Bellavia, Andrea Marcello Isidori, Antongiulio Faggiano, Rita Mancini, Claudia De Vitis

“…Significant clinical heterogeneity of these malignancies has been highlighted among poorly differentiated histotypes and within the subgroup of well-differentiated neuroendocrine tumors (NET). Currently, the main prognostic factors of lung NET include stage, histotype, grade, peripheral location, and demographic parameters. …”
Get full text

Integration of quantum key distribution and high-throughput classical communications in field-deployed multi-core fibers by Qi Wu, Domenico Ribezzo, Giammarco Di Sciullo, Sebastiano Cocchi, Divya Ann Shaji, Lucas Alves Zischler, Ruben Luis, Paolo Serena, Chiara Lasagni, Alberto Bononi, Tetsuya Hayashi, Alessandro Gagliano, Paolo Martelli, Alberto Gatto, Paola Parolari, Pierpaolo Boffi, Davide Bacco, Alessandro Zavatta, Yixiao Zhu, Weisheng Hu, Zhaopeng Xu, Mark Shtaif, Andrea Marotta, Fabio Graziosi, Antonio Mecozzi, Cristian Antonelli

Get full text

Automated recognition of deep-sea benthic megafauna in polymetallic nodule mining areas based on deep learning by Guofan Long, Wei Song, Xiangchun Liu, Ziyao Fang, Jinqi An, Kun Liu, Yaqin Huang, Xuebao He

Get full text

Link-State-Aware Proactive Data Delivery in Integrated Satellite–Terrestrial Networks for Multi-Modal Remote Sensing by Ranshu Peng, Chunjiang Bian, Shi Chen, Min Wu

Get full text

AAMS-YOLO: enhanced farmland parcel detection for high-resolution remote sensing images by Binyao Wang, Ya’nan Zhou, Weiwei Zhu, Li Feng, Jinke He, Tianjun Wu, Jiancheng Luo, Xin Zhang

Get full text

Truth be told: a multimodal ensemble approach for enhanced fake news detection in textual and visual media by Rami Mohawesh, Islam Obaidat, Ahmed Abdallah AlQarni, Ali Abdulaziz Aljubailan, Moy’awiah A. Al-Shannaq, Haythem Bany Salameh, Ali Al-Yousef, Ahmad A. Saifan, Suboh M. Alkhushayni, Sumbal Maqsood

“…Specifically, uses the SBERT and DeBERT models, both widely-used and pre-trained language representation models, to convert the textual news information into word vector representations. Similarly, uses the ResNet model, a deep convolutional neural network known for its efficacy in image feature extraction and recognition, to derive a feature vector from the image(s) in the new article. then combines these generated vectors using a weighted fusion strategy to obtain a unified feature representation capturing nuances from both textual and visual data. …”
Get full text

Interpretations of Ontologies for Breast Cancer by Srinandan Dasmahapatra, Kieron O’Hara

“…There are increasing efforts directed at providing formal frameworks to consolidate the widening net of terms and relations used in medical practice. …”
Get full text

MONITORING OF CYBER RISKS IN THE FINANCIAL SECTOR OF THE ECONOMY by Юлія Білявська, Валентин Білявський, Ярослав Шестак, Наталія Дєєва, Максим Колесник, Андрій Тривайло

Get full text

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis by Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni

Get full text

Transparent and reliable construction cost prediction using advanced machine learning and explainable AI by Lifei Chen, Changyong Xu, Wei Hong Lim, Abhishek Sharma, Sew Sun Tiang, Kim Soon Chong, El-Sayed M. El-kenawy, Amel Ali Alhussan, Marwa M. Eid, Doaa Sami Khafaga

Get full text

Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders by Muhammad Sajid, Kaleem Razzaq Malik, Ateeq Ur Rehman, Tauqeer Safdar Malik, Masoud Alajmi, Ali Haider Khan, Amir Haider, Seada Hussen

“…We employ the adept 2D information to direct a 3D masking-based autoencoder, which uses an encoder-decoder architecture to rebuild the masked point tokens through self-supervised pre-training. …”
Get full text

A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions by Oumayma Jouini, Kaouthar Sethom, Abdallah Namoun, Nasser Aljohani, Meshari Huwaytim Alanazi, Mohammad N. Alanazi

“…Both traditional machine learning (e.g., random forest, logistic regression) and deep learning methods (e.g., ResNet-50, YOLOv4, LSTM) are deployed on devices, distributed edge, and distributed cloud computing. …”
Get full text

Influences of Global Warming and Upwelling on the Acidification in the Beaufort Sea by Meibing Jin, Zijie Chen, Xia Lin, Chenglong Li, Di Qi

Get full text

Research on Enhanced Dynamic Pig Counting Based on YOLOv8n and Deep SORT by Peng Shen, Keyu Mei, Haori Xue, Tenglong Li, Guoqing Zhang, Yongxiang Zhao, Wei Luo, Liang Mao

Get full text

Validity of prenatal AUDIT screening for alcohol disorders – a Nationwide Swedish register study by Susanne Hesselman, Joline Asp, Ulrika Pellas, Susanne Lager, Anna Wikman

Get full text

Image Classification Model Based on Contrastive Learning With Dynamic Adaptive Loss by Quandeng Gou, Jingxuan Zhou, Zi Li, Fangrui Zhang, Yuheng Ren

“…However, the convolutional operation of CNN relies on local receptive fields, which limits its ability to capture global information about the image. The Transformer typically partitions the image into equal-sized and non-overlapping image patches, which may destroy the continuity of the edges of the image patches, leading to the loss of critical information. …”
Get full text

Predicting Solar Flares Using a Convolutional Neural Network with Extreme-ultraviolet Images by Yun Yang, Yi Wei Ni, P. F. Chen, Xue Shang Feng

“…The main advantage of this model lies in that it can effectively leverage the historical and spatial information of the source active regions as well as the interaction information from the surrounding active regions or other structures. …”
Get full text