CrackNet: A Hybrid Model for Crack Segmentation with Dynamic Loss Function by Yawen Fan, Zhengkai Hu, Qinxin Li, Yang Sun, Jianxin Chen, Quan Zhou

“…To address these challenges, this research proposes a novel hybrid network, named CrackNet, which leverages the strengths of both CNN and transformer. …”
Get full text

EGD-Net: Eigenimage Guided Diffusion Network for Hyperspectral Mixed Noise Removal by Zhicheng Wang, Lina Zhuang, Joseph R. Michalski, Michael K. Ng

Get full text

Advanced fault detection in photovoltaic panels using enhanced U-Net architectures by Khalfalla Awedat, Gurcan Comert, Mustafa Ayad, Abdulmajid Mrebit

Get full text

Improved FraSegNet-Based Rock Nodule Identification Method and Application by Yanbo Zhang, Guanghan Zhang, Qun Li, Xulong Yao, Hao Zhou

“…The primary improvements are as follows: (1) Multi-scale feature extraction: Leveraging the ResNet101 architecture for the effective extraction of detailed information from nodal images. (2) Better attention mechanisms: The SE module focuses on nodal regions, resulting in clearer and more refined feature representations. (3) Dynamic learning strategies: I incorporation of cosine annealing and warm-up techniques to optimize training efficiency. …”
Get full text

An experimental study of U-net variants on liver segmentation from CT scans by Halder Akash, Sau Arup, Majumder Surya, Kaplun Dmitrii, Sarkar Ram

“…We have conducted this research on computed tomography scan images from three standard datasets, namely, 3DIRCADb, CHAOS, and LiTS datasets. The U-Net architecture has become a mainstay in contemporary research on medical picture segmentation due to its success in preserving contextual information and capturing fine features. …”
Get full text

General Information and Academic Regulations by Kabale University

Get full text

Noise Robust Underwater Fishing Net Recognition Based on Range Gated Imaging by Zhensong Xu, Xinwei Wang, Liang Sun, Bo Song, Yue Zhang, Pingshun Lei, Jianan Chen, Jun He, Yan Zhou, Yuliang Liu

“…The proposed SFNR-Net introduces an auxiliary semantic segmentation module (ASSM) to introduce extra semantic information and enhance feature representation under noisy conditions. …”
Get full text

SwinD-Net: a lightweight segmentation network for laparoscopic liver segmentation by Shuiming Ouyang, Baochun He, Huoling Luo, Fucang Jia

“…We propose a novel network SwinD-Net based on Skip connections, incorporating Depthwise separable convolutions and Swin Transformer Blocks. …”
Get full text

MEViT: Generalization of Deepfake Detection With Meta-Learning EfficientNet Vision Transformer by Van-Nhan Tran, Hoanh-Su Le, Piljoo Choi, Suk-Hwan Lee, Ki-Ryong Kwon

Get full text

Application of ASP-NET technology based on B/S architecture in teacher management system by Ming Dong, Rui Pan

“…Abstract It is the realistic choice and inevitable trend of modern education development to change the traditional education mode through information technology and then promote the modernization of education with education informatization. …”
Get full text

The influence of different environmental factors toward Vietnam's net-zero emissions goal by Asif Raihan, Mohammad Ridwan, Tapan Sarker, Filiz Guneysu Atasoy, Grzegorz Zimon, ABM Mainul Bari, Md Shoaibur Rahman, Hayat Khan, Babla Mohajan

Get full text

Employing Huber and TAP Losses to Improve Inter-SubNet in Speech Enhancement by Jeih-Weih Hung, Pin-Chen Huang, Li-Yin Li

“…Inter-SubNet is a single-channel speech enhancement framework that enhances the sub-band spectral model by integrating global spectral information, such as cross-band relationships and patterns. …”
Get full text

StomachNet: Optimal Deep Learning Features Fusion for Stomach Abnormalities Classification by Muhammad Attique Khan, Muhammad Shahzad Sarfraz, Majed Alhaisoni, Abdulaziz A. Albesher, Shuihua Wang, Imran Ashraf

“…The resultant fusion images are then passed to ResNet101 pre-trained model and trained once again using deep transfer learning. …”
Get full text

An Improved U-Net-Based Framework for Estimating River Surface Flow Velocity by 周继威, 安国成, 王根一

“…MethodsMethods A dual-output branch structure was designed within an improved U-Net architecture to simultaneously supervise velocity distribution and pixel displacement values, enhancing feature representation and model robustness. …”
Get full text

Surface Defect Detection of Frozen Dumplings Based on Improved RetinaNet Model by Zhigen FEI, Xing GUO, Xiaoxiao SONG, Hao LU, Xinchang ZHAO

“…By adding the path aggregation network (PAN) structure behind the feature pyramid networks (FPN) structure to form a bidirectional feature fusion module, the fusion ability of target multi-scale feature information could be improved. Results: The online detection accuracy of the GX-RetinaNet network for surface defects of quick-frozen dumplings under industrial field conditions was better than that of several mainstream target detection networks. …”
Get full text

EmotionNet-X: An Optimized CNN Architecture for Robust Facial Emotion Analysis by Syed Muhammad Aqleem Abbas, Qaisar Abbas, Syed Muhammad Naqi

Get full text

Deep Learning Innovations: ResNet Applied to SAR and Sentinel-2 Imagery by Giuliana Bilotta, Luigi Bibbò, Giuseppe M. Meduri, Emanuela Genovese, Vincenzo Barrile

“…The findings indicate substantial enhancements compared to current classification methods, such as U-Net, Vision Transformer (ViT), and OBIA, underscoring ResNet’s transformative capacity to elevate the precision of land use classification.…”
Get full text

BenthicNet: A global compilation of seafloor images for deep learning applications by Scott C. Lowe, Benjamin Misiuk, Isaac Xu, Shakhboz Abdulazizov, Amit R. Baroi, Alex C. Bastos, Merlin Best, Vicki Ferrini, Ariell Friedman, Deborah Hart, Ove Hoegh-Guldberg, Daniel Ierodiaconou, Julia Mackin-McLaughlin, Kathryn Markey, Pedro S. Menandro, Jacquomo Monk, Shreya Nemani, John O’Brien, Elizabeth Oh, Luba Y. Reshitnyk, Katleen Robert, Chris M. Roelfsema, Jessica A. Sameoto, Alexandre C. G. Schimel, Jordan A. Thomson, Brittany R. Wilson, Melisa C. Wong, Craig J. Brown, Thomas Trappenberg

“…Here we present BenthicNet: a global compilation of seafloor imagery designed to support the training and evaluation of large-scale image recognition models. …”
Get full text

Construction and Application of Monitoring System for Green Tarpaulin Cover Net in Mega Cities by Yang SUN, Dawei GAO, Haoye JIANG, Wanguang DU

“…There is still a gap in research in this field both domestically and internationally, and there is an urgent need for a scientific and systematic monitoring system to support the effective promotion of the special work of “net uncovering for greening”.MethodsTaking the special work of “net uncovering for greening” in Beijing as an example, this research combines the technical means of remote sensing interpretation and deep learning with the U-Net model to train the samples of tarpaulin cover. …”
Get full text

Health information ties: preliminary findings on the health information seeking behaviour of an African-American community by Ophelia T. Morey

Get full text