RoBERTaNET: Enhanced RoBERTa Transformer Based Model for Cyberbullying Detection With GloVe Features by Arwa A. Jamjoom, Hanen Karamti, Muhammad Umer, Shtwai Alsubai, Tai-Hoon Kim, Imran Ashraf

Get full text

HDTFF-Net: Hierarchical Deep Texture Features Fusion Network for High-Resolution Remote Sensing Scene Classification by Wanying Song, Yifan Cong, Shiru Zhang, Yan Wu, Peng Zhang

“…The proposed HDTFF-Net can effectively combine the shallow texture information from manual features and the deep texture information by convolutional neural networks (CNNs). …”
Get full text

SLG-Net: Small-Large-Global Feature-Based Multilevel Feature Extraction Network for Ultrasound Image Segmentation by Xinya Fan, Jianwen Hu, Kai Hu

“…The SLG-Net is parallel dual-encoder architecture which consists of a CNN encoder and a transformer encoder. …”
Get full text

HarSoNet: a two-stage point cloud registration method integrating soft and hard matching by Qiongdan Huang, Jiapeng Wang, Jiejing Han, Shilin Kang

Get full text

CoGraphNet for enhanced text classification using word-sentence heterogeneous graph representations and improved interpretability by Pengyi Li, Xueying Fu, Juntao Chen, Junyi Hu

“…To overcome information loss, we construct separate heterogeneous graphs for words and sentences, capturing multi-tiered contextual information. …”
Get full text

LCD-Net: A Lightweight Remote Sensing Change Detection Network Combining Feature Fusion and Gating Mechanism by Wenyu Liu, Jindong Li, Haoji Wang, Run Tan, Yali Fu, Qichuan Tian

Get full text

A 3D lightweight network with Roberts edge enhancement model (LR-Net) for brain tumor segmentation by Qingxu Meng, Weijiang Wang, Hang Qi, Hua Dang, Minli Jia, Xiaohua Wang

“…To address this issue, We propose a Lightweight Network with Roberts edge enhancement (LR-Net) for brain tumor segmentation that achieves an optimal balance between parameters and diagnostic accuracy. …”
Get full text

DSS-MobileNetV3: An Efficient Dynamic-State-Space- Enhanced Network for Concrete Crack Segmentation by Haibo Li, Yong Cheng, Qian Zhang, Lingkun Chen

Get full text

Deep learning-driven ultrasound-assisted diagnosis: optimizing GallScopeNet for precise identification of biliary atresia by Yupeng Niu, Yupeng Niu, Jingze Li, Xiyuan Xu, Pu Luo, Pu Luo, Pingchuan Liu, Pingchuan Liu, Jian Wang, Jian Wang, Jiong Mu, Jiong Mu

Get full text

A Gaze Estimation Method Based on Spatial and Channel Reconstructed ResNet Combined with Multi-Clue Fusion by Zhaoyu Shou, Yanjun Lin, Jianwen Mo, Ziyong Wu

Get full text

Singular Value Decomposition-Based Adaptive Sampling Approximate Message Passing Net for Sparse-View CT Reconstruction by Zhenhua Wu, Jiafei Xu, Lixia Yang

Get full text

DDAM-Net: A Difference-Directed Multi-Scale Attention Mechanism Network for Cultivated Land Change Detection by Junbiao Feng, Haikun Yu, Xiaoping Lu, Xiaoran Lv, Junli Zhou

Get full text

KronNet a lightweight Kronecker enhanced feed forward neural network for efficient IoT intrusion detection by Saeed Ullah, Junsheng Wu, Mian Muhammad Kamal, Abdul Khader Jilani Saudagar

Get full text

SAFH-Net: A Hybrid Network With Shuffle Attention and Adaptive Feature Fusion for Enhanced Retinal Vessel Segmentation by Yang Zhou Ling Ou, Joon Huang Chuah, Hua Nong Ting, Shier Nee Saw, Jun Zhao

“…Additionally, cross-channel and cross-spatial shuffle operations enhance the interaction between local details and global information efficiency while suppressing redundant information. …”
Get full text

MT-SiamNet: A Multi-Scale Attention Network for Reducing Missed Detections in Farmland Change Detection by Jiangqing Wang, Juanjuan Tian, Lu Zheng, Jin Xie, Meng Xia, Shuangyang Li, Pingting Chen

“…Traditional CNN-based models are limited in extracting global contextual information. To address this, we propose a CNN-Transformer-based Multi-Scale Attention Siamese Network (MT-SiamNet), with a focus on reducing missed detections. …”
Get full text

Analysis of Academic Information System Using Information System Success Model and System Quality Model Case Study of Institut Teknologi Nasional Malang by Kurnia Dwi setyowati, Totok Chamidy, Muhammad Faisal

“…Based on the research results, all hypotheses are accepted, indicating that Information Quality (IQ), System Quality (SQ), and Service Quality (SeQ) significantly influence Intention to Use (IU), User Satisfaction (US), and Net Benefit (NB) in the Use of SIAKAD at the National Institute of Technology Malang. …”
Get full text

Transforming Brain Tumor Detection Empowering Multi-Class Classification With Vision Transformers and EfficientNetV2 by Anees Tariq, Muhammad Munwar Iqbal, Muhammad Javed Iqbal, and Iftikhar Ahmad

“…EfficientNetV2, known for its optimized convolutional architecture, achieves high accuracy while maintaining computational efficiency, whereas ViT, a transformer-based model, effectively captures global contextual information in medical images. …”
Get full text

DualPlaqueNet with dual-branch structure and attention mechanism for carotid plaque semantic segmentation and size prediction by Lili Deng, Xingyu Duan, Yongxiang Sun, Yunling Wang, Dongmei Song, Xiaokai Duan

“…However, ultrasound images suffer from high noise, low contrast, and blurred edges, making it difficult for traditional image processing methods to accurately extract plaque information.ObjectiveTo establish a deep learning-based DualPlaqueNet model for semantic segmentation and size prediction of plaques in carotid ultrasound images, thereby providing comprehensive and accurate auxiliary information for clinical risk assessment and personalized diagnosis and treatment.MethodsDualPlaqueNet uses a dual-branch architecture combined with attention mechanisms and joint loss functions to optimize segmentation and regression. …”
Get full text

LULC-SegNet: Enhancing Land Use and Land Cover Semantic Segmentation with Denoising Diffusion Feature Fusion by Zongwen Shi, Junfu Fan, Yujie Du, Yuke Zhou, Yi Zhang

“…Deep convolutional networks often encounter information bottlenecks when extracting land object features, resulting in critical geometric information loss, which impedes semantic segmentation capabilities in complex geospatial backgrounds. …”
Get full text

Simplifying Multiproject Scheduling Problem Based on Design Structure Matrix and Its Solution by an Improved aiNet Algorithm by Chunhua Ju, Tinggui Chen

Get full text