IEEE

Encoder-Decoder Based Deep Reinforcement Learning for Multi-AUV Assisted Data Collection in UWSNs

Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...
ArchDaily

How Can Hidden Niches Transform Walls into Functional Architecture?

Today, the modern home is shaped by different pressures. Urban densification and shrinking interiors have made every centimeter significant, while design culture values visual calm, uninterrupted ...
Frontiers

Detection of leptomeningeal angiomas in brain MRI of Sturge-Weber syndrome using multi-scale multi-scan Mamba

Objectives: Sturge-Weber syndrome (SWS) is a congenital neurological disorder occurring in the early childhood. Timely diagnosis of SWS is essential for proper medical intervention that prevents the ...
GEN

ChatGPT-Like AI Model Details 1,300 Regions/Subregions in Mouse Brain Map

In a powerful fusion of AI and neuroscience, researchers at the University of California, San Francisco (UCSF) and at the Allen Institute have created one of the most detailed maps of the mouse brain ...
Frontiers

CoastVisionNet: transformer with integrated spatial-channel attention for coastal land cover classification

1 School of Integrated Circuits, Guangdong University of Technology, Guangzhou, China 2 School of Computer Science, Xi'an University of Technology, Xi'an, China Introduction: The rapid advancement of ...
Scientific Research Publishing

From U-Net to Swin-Unet Transformers: The Next-Generation Advances in Brain Tumor Segmentation with Deep Learning ()

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...
GitHub

Multimodal deep learning integration of cryo-EM and AlphaFold3 for high-accuracy protein structure determination

Cryo-electron microscopy (cryo-EM) is a key technology for determining the structures of proteins, particularly large protein complexes. However, automatically building high-accuracy protein ...
IEEE

DRL-ED-TSPP: A Deep Reinforcement Learning Model With Encoder-Decoder for Solving the Traveling Salesman Problem With Profits

Abstract: The rapid growth of smart cultural tourism necessitates intelligent path planning solutions that harmonize diverse stakeholder interests, including tourist satisfaction, attraction ...
World Bank

Historic Investment in Education to Transform Early Learning for Over 375,000 Children in Papua New Guinea

PORT MORESBY, May 30, 2025 – More than 375,000 children in some of the most underserved communities in Papua New Guinea (PNG) will benefit from a new landmark education project that will improve ...
ascopubs.org

Next-generation U-Net Encoder: Decoder for accurate, automated CTC detection from images of peripheral blood nucleated cells stained with EPCAM and DAPI.

Beyond tumor-shed markers: AI driven tumor-educated polymorphonuclear granulocytes monitoring for multi-cancer early detection. Clinical outcomes of a prospective multicenter study evaluating a ...