A longitudinal bottom-up analysis of staff travel patterns (2018–2023) at a research-intensive university hospital by N. Gebhardt, O. A. Kern, L. Schwaab, H.-C. Friederich, C. Nikendei

Get full text

IMPROVING PREDICTION ACCURACY OF DEEP LEARNING FOR BRAIN CANCER DIAGNOSIS USING POLYAK-RUPPERT OPTIMIZATION by M Muthulekshmi, Azath Mubarakali, Y M Blessy

“…Experimental results demonstrate that VGG and ResNet models employing the PRO technique outperform the conventional architectures such as VGG and ResNet in classification metrics such as accuracy, sensitivity, and specificity. …”
Get full text

Prostate Cancer Detection from MRI Using Efficient Feature Extraction with Transfer Learning by Rafiqul Islam, Al Imran, Md. Fazle Rabbi

“…It emphasizes utilizing deep learning models, namely VGG16, VGG19, ResNet50, and ResNet50V2, to extract relevant features. …”
Get full text

Cow Hoof Slippage Detecting Method Based on Enhanced DeepLabCut Model by NIAN Yue, ZHAO Kaixuan, JI Jiangtao

“…To enhance the model's generalization ability and robustness, the CBAM attention mechanism was embedded into the first convolution layer and the last convolution layer of the ResNet-50 network structure. …”
Get full text

A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection by Hessa Alfraihi, Muhammad Swaileh A. Alzaidi, Hamed Alqahtani, Abdulbasit A. Darem, Ali M. Al-Sharafi, Ahmad A. Alzahrani, Menwa Alshammeri, Abdulwhab Alkharashi

“…Next, the ECMVFD-FTLTDO technique employs a fusion-based transfer learning (TL) process comprising three models: ResNet50, MobileNetV3, and EfficientNetB7 to capture diverse spatial features across various scales, thereby enhancing the capability of the model to distinguish authentic content from tampered regions. …”
Get full text

A benchmark of deep learning approaches to predict lung cancer risk using national lung screening trial cohort by Yifan Jiang, Leyla Ebrahimpour, Philippe Després, Venkata SK. Manem

“…We evaluated ten 3D and eleven 2D SOTA deep learning models, which were pretrained on large-scale general-purpose datasets (Kinetics and ImageNet) and radiological datasets (3DSeg-8, nnUnet and RadImageNet), for their lung cancer risk prediction performance. …”
Get full text

Developing a clinical prediction model to modify empirical antibiotics for non-typhoidal Salmonella bloodstream infection in children under-five in the Democratic Republic of Congo by Bieke Tack, Daniel Vita, Jules Mbuyamba, Emmanuel Ntangu, Hornela Vuvu, Immaculée Kahindo, Japhet Ngina, Aimée Luyindula, Naomie Nama, Tito Mputu, Justin Im, Hyonjin Jeon, Florian Marks, Jaan Toelen, Octavie Lunguya, Jan Jacobs, Ben Van Calster

Get full text

Explore human parsing modality for action recognition by Jinfu Liu, Runwei Ding, Yuhang Wen, Nan Dai, Fanyang Meng, Fang‐Lue Zhang, Shen Zhao, Mengyuan Liu

Get full text

Tensile strength of multi-material bolted double lap joints under static loading by Saoussane Bachi Bensaad, Mohamed Mazari, Otmane Lahlali

“…Also, double bolt joints with wider plates (increased width) can beneficially shift the failure mode from net-tension to bearing. The geometric parameters were found to play an important role in controlling the failure mode so that catastrophic failure modes of net-tension and shear-out can be prevented in bolted joint. …”
Get full text

Ammonium oxidation by bacteria and archaea have functional implications for nitrification across a forested landscape by Jennifer Wen, Rima Upchurch, Donald R. Zak

“…Using high‐throughput sequencing, we identified the amoA of AOA and AOB from northern forest stands that occur across a natural gradient of nitrification, soil pH, and net N mineralization (i.e., NH4+ availability). …”
Get full text

Fine-grained point cloud classification based on hierarchical feature enhancement. Journal of Zhejiang University (Science Edition),2025,52(1):70⁃80(基于层次特征增强的细粒度点云分类)... by 白静(BAI Jing), 刘路(LIU Lu), 郑虎(ZHENG Hu), 蒋金哲(JIANG Jinzhe)

“…Aiming at the problem of insufficient local feature extraction of general point cloud classification methods in fine-grained classification tasks, we propose a point cloud-oriented 3D model classification framework, HFE-Net. …”
Get full text

Dual-stream disentangled model for microvascular extraction in five datasets from multiple OCTA instruments by Xiaoyang Hu, Xiaoyang Hu, Jinkui Hao, Quanyong Yi, Yitian Zhao, Jiong Zhang

“…In addition, we validated the performance of D2Net on four OCTA datasets (OCTA-500, ROSE-O, ROSE-Z, and ROSE-H) acquired using different instruments, demonstrating its robustness and generalization capabilities in retinal vessel segmentation compared to other state-of-the-art methods.…”
Get full text

A new Bayesian method for the estimation of emergency nurses’ thresholds and agreement in the context of telephone triage by Michele Vicovaro, Giuseppe Mignemi, Massimo Nucci, Luigi Bolognani, Sara Iannattone, Giovanni Bruno, Giovanni Bruno, Andrea Spoto

Get full text

On the Safe-Haven Ability of Bitcoin, Gold, and Commodities for International Stock Markets: Evidence from Spillover Index Analysis by Qian Wang, Yu Wei, Yao Wang, Yuntong Liu

“…Thirdly, among international stock and safe-haven asset markets, the world and the developed stock markets act as the net spillover transmitters, while bitcoin, gold, and commodities are the net recipients. …”
Get full text

Automated classification of elongated styloid processes using deep learning models-an artificial intelligence diagnostics by Anuradha Ganesan, N. Gautham Kumar, Prabhu Manickam Natarajan, Jeevitha Gauthaman

“…Pre-processing included median filtering and resizing, with data augmentation applied to improve generalization. EfficientNetB5 and InceptionV3 models, utilized as feature extractors, captured unique styloid characteristics. …”
Get full text

MODEL OF SYMBIOTIC INFORMAL BUSINESS NETWORK BASED ON SERVICES OF FUNCTIONALLY DEPENDENT BUSINESS UNITS by O. Gabdrakhmanov

“…The essence of informal business net-works is analysed in the context of the theoretical and methodological approach to the more general concept of the informal economy, which has been in considerable demand in research in recent years. …”
Get full text

Semantic segmentation of 3D point cloud based on contextual attention CNN by Jun YANG, Jisheng DANG

“…Aiming at the under-segmentation of 3D point cloud semantic segmentation caused by the lack of contextual fine-grained information of the point cloud,an algorithm based on contextual attention CNN was proposed for 3D point cloud semantic segmentation.Firstly,the fine-grained features in local area of the point cloud were mined through the attention coding mechanism.Secondly,the contextual features between multi-scale local areas were captured by the contextual recurrent neural network coding mechanism and compensated with the fine-grained local features.Finally,the multi-head mechanism was used to enhance the generalization ability of the network.Experiments show that the mIoU of the proposed algorithm on the three standard datasets of ShapeNet Parts,S3DIS and vKITTI are 85.4%,56.7% and 38.1% respectively,which has good segmentation performance and good generalization ability.…”
Get full text

PUBLIC AWARENESS OF DEPOSIT INSURANCE AND INVESTOR COMPENSATION SCHEMES IN BULGARIA by Irina Kazandzhieva, Elena Ralinska

“… The purpose of deposit insurance and investor compensation schemes is to protect the clients of banks and investment intermediaries by providing compensation in the case of unavailability of clients’ deposits or assets. Generally, knowledge about the activities of both schemes is rather limited by the public. …”
Get full text

Evaluation of Different Few-Shot Learning Methods in the Plant Disease Classification Domain by Alexander Uzhinskiy

“…This study evaluates different loss functions used in similarity learning, including Contrastive, Triplet, Quadruplet, SphereFace, CosFace, and ArcFace, alongside various backbone networks, such as MobileNet, EfficientNet, ConvNeXt, and ResNeXt. Custom datasets of real-life images, comprising over 4000 samples across 68 classes of plant diseases, pests, and their effects, were utilized. …”
Get full text

Universal slip detection of robotic hand with tactile sensing by Chuangri Zhao, Yang Yu, Zeqi Ye, Ziyang Tian, Yifan Zhang, Ling-Li Zeng

“…By combining frequency with time domain features, the network achieves a computation time of only 1.26 ms and an average accuracy of over 97% on both the validation and test datasets, demonstrating strong generalization capabilities. Furthermore, we validated the proposed USDConvNet-DG in real-time grasp force adjustment in real-world scenarios, showing that it can effectively improve the stability and reliability of robotic manipulation.…”
Get full text