Results 21 to 30 of about 4,775 (181)

Guiding the AI revolution in periodontology and implant dentistry: Concepts, ethics, accountability, and a roadmap for sustainable adoption

Periodontology 2000, EarlyView.
Abstract Background Artificial intelligence (AI) is increasingly gaining attention in the field of periodontology and implant dentistry. Currently developed models can support diagnosis, treatment planning, and maintenance monitoring. However, most of the available literature is based on retrospective and often single‐modality data sets.
Aminollah Khormali, Negin Soghli, Patricia A. Miguez   +2 more
wiley   +1 more source

DSS-Mamba: Deformable Spatial–Spectral State-Space Model for Hyperspectral Land Cover Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
State-space models, particularly Mamba, have garnered significant attention from researchers owing to their efficient balance between computational efficiency and model performance, and they also provide a performance breakthrough for accurate land cover
Dehua Huo, Weida Zhan, Yueyi Han, Jinxin Guo, Depeng Zhu, Yu Chen, YiChun Jiang, Deng Han   +7 more
doaj   +1 more source

ET-Mamba: A Mamba Model for Encrypted Traffic Classification

Information
With the widespread use of encryption protocols on network data, fast and effective encryption traffic classification can improve the efficiency of traffic analysis. A resampling method combining Wasserstein GAN and random selection is proposed for solving the dataset imbalance problem, and it uses Wasserstein GAN for oversampling and random selection ...
Jian Xu, Liangbing Chen, Wenqian Xu, Longxuan Dai, Chenxi Wang, Lei Hu 0009   +5 more
openaire   +3 more sources

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, Volume 20, Issue 10, Page 2410-2423, October 2026.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

ms-mamba: Multi-scale mamba for time-series forecasting

Neurocomputing
The problem of Time-series Forecasting is generally addressed by recurrent, Transformer-based and the recently proposed Mamba-based architectures. However, existing architectures generally process their input at a single temporal scale, which may be sub-optimal for many tasks where information changes over multiple time scales.
Yusuf Meriç Karadağ, Talaz, Ismail, Kalkan, Sinan, Gursel Dino, Ipek   +3 more
openaire   +6 more sources

Assessing Haitian Consumers' Willingness to Pay a Premium for Aflatoxin‐Compliant Peanut Butter in the Informal Market

Agribusiness, Volume 42, Issue 4, Page 2415-2424, Autumn 2026.
ABSTRACT Market‐based solutions are increasingly tested to address aflatoxin issues in peanuts in developing countries. Although previous studies have found that Haitian grocery store shoppers are willing to pay a 21% premium for peanut butter with levels of aflatoxin that meet international standards, no information is available for the much larger ...
Phendy Jacques, Stevens Azima, Maurice Doyon   +2 more
wiley   +1 more source

FCD-Mamba: A Frequency-Enhanced and Center-Pixel-Guided Dual-Branch Mamba Network for Hyperspectral Image Classification

Remote Sensing
Hyperspectral image classification is an important task in remote sensing image interpretation. However, existing Mamba-based methods remain limited in exploiting shallow frequency information, preserving neighborhood continuity during spatial ...
Yulin Cao, Jiaxin Li, Dong Li, Siqi Lu, Qiaolin Ye, Wen Lu, Le Sun   +6 more
doaj   +1 more source

Mamba-SEUNet: Mamba UNet for Monaural Speech Enhancement

ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
In recent speech enhancement (SE) research, transformer and its variants have emerged as the predominant methodologies. However, the quadratic complexity of the self-attention mechanism imposes certain limitations on practical deployment. Mamba, as a novel state-space model (SSM), has gained widespread application in natural language processing and ...
Junyu Wang, Zizhen Lin, Tianrui Wang, Meng Ge, Longbiao Wang, Jianwu Dang 0001   +5 more
openaire   +4 more sources

Attention‐Enhanced SegFormer for Pixel‐Level Concrete Crack Detection Under Complex Crack Conditions

Applied Research, Volume 5, Issue 5, October 2026.
AF‐SegFormer integrates a CBAM‐based channel–spatial attention mechanism into the SegFormer decoder for pixel‐level concrete crack detection. The model enhances crack‐related feature fusion and improves the detection of denser crack regions while maintaining relatively low computational cost compared with the CNN‐based comparative models.
Zhang Jing, Hong Qi
wiley   +1 more source

Los-mamba: A low-rank recursive mamba framework for mitigating stationary bias in trajectory prediction

Journal of King Saud University: Computer and Information Sciences
Trajectory prediction plays a key role in autonomous driving and intelligent transportation systems. Mamba performs well in modeling long sequences but struggles with short-term static or local motion features.
Yang Cui, Dong Guo, Lirui Liu, Yi Han
doaj   +1 more source