Computational models predict neural activity for re-establishing connectivity after stroke or injury

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel ...
AZoOptics

Deep Learning in Optical Microscopy: Advancements and Applications

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
IEEE

Clustering Guided Residual Neural Networks for Multi-Tx Localization in Molecular Communications

Abstract: Transmitter (Tx) localization in Molecular Communication via Diffusion is a critical topic with many applications. However, accurate localization of multiple transmitters is a challenging ...
Scientific Research Publishing

Alom, M.Z., Hasan, M., Yakopcic, C., Taha, T.M. and Asari, V.K. (2018) Recurrent Residual Convolutional Neural Network Based on U-Net (R2U-Net) for Medical Image Segmentation ...

ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...
IEEE

Neural Network based Attention-Guided Residual Interpolation for Division of Focal Plane Polarization Imaging

Abstract: The increasing demand for high-resolution imaging across diverse applications has catalyzed the development of advanced image interpolation techniques. Traditional interpolation methods ...
Frontiers

TFANet: a temporal fusion attention neural network for motor imagery decoding

Introduction: In the field of brain-computer interfaces (BCI), motor imagery (MI) classification is a critically important task, with the primary objective of decoding an individual's MI intentions ...
C&EN

RTK_RAG: Leveraging Retrieval Augmented Generation with Multi-Window Convolutional Neural Networks for Superior ATP Binding Site Prediction in Receptor Tyrosine Kinases

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Receptor tyrosine kinases (RTKs) are key regulators of cellular signaling and are ...
marktechpost

Model Compression Without Compromise: Loop-Residual Neural Networks Show Comparable Results to Larger GPT-2 Variants Using Iterative Refinement

The transformer architecture has revolutionized natural language processing, enabling models like GPT to predict the next token in a sequence efficiently. However, these models suffer from a ...
Frontiers

Protein structure prediction via deep learning: an in-depth review

The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...