Distributed Collaborative Learning with Representative Knowledge Sharing by Joseph Casey, Qianjiao Chen, Mengchen Fan, Baocheng Geng, Roman Shterenberg, Zhong Chen, Keren Li

“…By leveraging Energy Coefficients to quantify node similarity, CTL dynamically selects optimal collaborators and refines local models through knowledge distillation on shared representative datasets. …”
Get full text

Review of Masked Face Recognition Based on Deep Learning by Bilal Saoud, Abdul Hakim H. M. Mohamed, Ibraheem Shayea, Ayman A. El-Saleh, Abdulaziz Alashbi

“…We focus on DL-based methods due to their superior performance in real-world scenarios, discussing key architectures, feature extraction strategies, datasets, and evaluation metrics. …”
Get full text

The impact of the COVID-19 pandemic on melanoma diagnosis: a systematic review and meta-analysis of global evidence by Seyed Mostafa Mostafavi Zadeh, Elahe Noroozi, Elmira Gheytanchi, Fatemeh Tajik, Zahra Madjd, Davoud Ahmadvand

“…Method We performed a systematic review and meta-analysis following PRISMA guidelines. …”
Get full text

Quantification of FDG in the spinal cord using PET/MRI by Eve Lennie, Steven Sourbron, Nigel Hoggard, Nigel Hoggard, Thomas Jenkins, Thomas Jenkins, Charalampos Tsoumpas

“…BackgroundIn this study, we investigate the impact of MR-derived attenuation maps and limited detector resolution on the quantification of positron emission tomography (PET) activity uptake in the spinal cord during PET/MRI. This was performed by simulating [18F]FDG PET data in the neck and thorax and then modifying the attenuation map to remove bone features. …”
Get full text

A Method for the 3D Reconstruction of Landscape Trees in the Leafless Stage by Jiaqi Li, Qingqing Huang, Xin Wang, Benye Xi, Jie Duan, Hang Yin, Lingya Li

“…With the advancement of Computer Vision (CV) and laser remote sensing technology, forestry researchers can use images and point cloud data to perform digital modeling. However, modeling leafless tree models that conform to tree growth rules and have effective branching remains a major challenge. …”
Get full text

Aviation Fuel Pump Fault Diagnosis Based on Conditional Variational Self-Encoder Adaptive Synthetic Less Data Enhancement by Tiejun Liu, Yaoping Zhang, Xiaojing Yin, Weidong He

“…The CVAE generates semantically consistent and feature-diverse minority-class samples under class-conditional constraints, thereby enhancing the overall representational capacity of the dataset. …”
Get full text

Cross-Project Multiclass Classification of EARS-Based Functional Requirements Utilizing Natural Language Processing, Machine Learning, and Deep Learning by Touseef Tahir, Hamid Jahankhani, Kinza Tasleem, Bilal Hassan

“…Among the trained models, the convolutional neural network achieved the highest performance, with an accuracy of 93, followed by the long short-term memory network with an accuracy of 92, outperforming traditional decision-tree-based methods. …”
Get full text

Machine learning-based prediction of FeNi nanoparticle magnetization by Federico Williamson, Nadhir Naciff, Carlos Catania, Gonzalo dos Santos, Nicolás Amigo, Eduardo M. Bringa

“…Several machine-learning algorithms, including Random Forest (RF), Elastic Net, Support Vector Regression (SVR), and Gradient Boosting Regression (CatBoost), were applied to predict the average magnetic moment per atom of these NPs. The best-performing models, CatBoost and RF, achieved R2 scores of up to 0.86, demonstrating their accuracy in predicting NP magnetization. …”
Get full text

Hypoxia Dependent Inhibition of Glioblastoma Cell Proliferation, Invasion, and Metabolism by the Choline-Kinase Inhibitor JAS239 by Claire Louise Kelly, Martyna Wydrzynska, Marie M. Phelan, Sofya Osharovich, Edward J. Delikatny, Violaine Sée, Harish Poptani

“…NMR metabolomic measurements and analyses were performed to evaluate the signaling pathways involved. …”
Get full text

Effect of aspirin in takotsubo syndrome: protocol of a systematic review and meta-analysis by Jinhai Lin, Bingxin Wu, Luoqi Lin, Yining Ding, Biying Zhong, Zhiwei Huang, Miaoyang Lin, Dan-Ping Xu

“…If available, the effects of aspirin on the above outcomes for patients with TTS will be evaluated using random-effect modelling with relative risk at 95% CIs. Subgroup analysis and sensitivity analysis will also be performed when possible.Ethics and dissemination Ethics approval was not required due to the retrospective nature of the study. …”
Get full text

The application of machine learning approaches to classify and predict fertility rate in Ethiopia  by Ewunate Assaye Kassaw, Biruk Beletew Abate, Bekele Mulat Enyew, Ashenafi Kibret Sendekie

“…Phyton programming language was used to develop these models. Predictors of fertility rate were determined using the feature important techniques. …”
Get full text

Cloud information system «Redactor.Online» for the create of periodic scientific-educational editions by E. V. Golubev, A. G. Marakhtanov, O. Yu. Nasadkina

“…The aim of the research is the development of concepts, models, patterns, architecture of such a system, the choice of software implementation. …”
Get full text

Value-based healthcare in Latin America: a survey of 70 healthcare provider organisations from Argentina, Brazil, Chile, Colombia and Mexico by Pedro Ramos, Marcia Makdisse, Daniel Malheiro, Marcelo Katz, Luisa Novoa, Miguel Cendoroglo Neto, Jose Henrique Germann Ferreira, Sidney Klajner

“…Qualitative analysis was performed using NVivo QSR International, 1.6.1 (4830). …”
Get full text

The Prevalence and Predictors of Digital Proxy Behavior in the United States: Cross-Sectional Survey Study by Pin Sym Foong, Camellia Zakaria, Pavithren Pakianathan, Andrew Ian-Hong Phua, Gerald CH Koh

“…Policymakers and system designers should aim to promote secure, user-friendly proxy features and balance access with monitoring mechanisms that balance usability, privacy, and abuse prevention.…”
Get full text

Novel insights from comprehensive analysis: The role of cuproptosis and peripheral immune infiltration in Alzheimer's disease. by Jing Wang, Zi-Wen Yu, Qi Liu, Jing-Xun Wu, Yi-Dan Zhang, Hui-Juan Wan, Min Bi, Nai-An Xiao, Kun-Mu Zheng, Bin Jiang

“…Then, four machine-learning models were used to screen hub-genes from the DECAGs. …”
Get full text

Assessing Credit Risk in the Sphere of Commercial Lending to Organizations of the Kemerovo Region by Chernichenko S., Kotov R.

“…The theoretic section of this publication identifies the design features of a commercial loan and the specific credit risks. …”
Get full text

Activity-based mindfulness: large-scale assessment of an online program on perceived stress and mindfulness by Eliane Timm, Yobina Melanie Ko, Theodor Hundhammer, Ilana Berlowitz, Ursula Wolf

“…Linear-mixed models were used for data analysis.ResultsA total of 830 individuals took part in the study, of which 53.5% filled in at least 2 surveys. …”
Get full text

Full grading detection method of earth-rock materials by combining preliminary screening and video image recognition by Huawei Zhou, Liang Zhu, Yihong Zhou, Dongfeng Li, Tao Fang, Chunju Zhao, Zhipeng Liang, Fang Wang, Lei Lei

“…Second, an extraction model for the effective frame is constructed, along with a mathematical model for full gradation conversion that takes into account the slip velocity of earth-rock particles, based on the image preprocessing and particle contour feature extraction method for earth-rock materials. …”
Get full text

Personalized treatment strategies for breast adenoid cystic carcinoma: A machine learning approach by Sakhr Alshwayyat, Mahmoud Bashar Abu Al Hawa, Mustafa Alshwayyat, Tala Abdulsalam Alshwayyat, Siya sawan, Ghaith Heilat, Hanan M. Hammouri, Sara Mheid, Batool Al Shweiat, Hamdah Hanifa

“…Positive estrogen receptor (ER) status and younger age were associated with better survival outcomes. ML models identified key predictive features for survival, including age, nodal status, and ER status. …”
Get full text

Polarization-Enhanced Multi-Target Underwater Salient Object Detection by Jiayi Song, Peikai Zhao, Jiangtao Li, Liming Zhu, Khian-Hooi Chew, Rui-Pin Chen

“…The experimental results confirm that the proposed method achieves substantial performance improvements in multi-target underwater SOD tasks, outperforming state-of-the-art models of salient object detection in detection accuracy.…”
Get full text