Results 161 to 170 of about 5,581 (264)

Learning stable radiation boundaries for wave simulations via passive neural state-space models. [PDF]

iScience
Li A, Wang X, Wang Y, Wang S.
europepmc   +1 more source

Functional characterization of 42 CK2α de novo variants associated with Okur‐Chung neurodevelopmental syndrome

The FEBS Journal, EarlyView.
Okur‐Chung neurodevelopmental syndrome (OCNDS) is a neurodevelopmental disorder associated with mutations in the gene coding for Protein kinase CK2α. In this work, 42 variants of CK2α associated with OCNDS were characterized in vitro. This included determination of catalytic activity and CK2α/CK2β‐interaction as well as an assessment of evolutionary ...
Alexander Gast, Christian Werner, Karsten Niefind, Joachim Jose   +3 more
wiley   +1 more source

GroupMamba: Parameter-Efficient and Accurate Group Visual State Space Model

Recent advancements in state-space models (SSMs) have showcased effective performance in modeling long-range dependencies with subquadratic complexity.
Gall, Juergen, Wasim, Syed Talal, Khan, Salman, Shaker, Abdelrahman, Khan, Fahad Shahbaz   +4 more
core  

SSM extensions: network layer support for multiple senders

, 2003
— Source Specific Multicast (SSM) provides native support for single sender multicast applications. Current proposals for supporting multiple sender applications on top of SSM includes using multiple SSM channels or using an application layer relay ...
Kevin C. Almeroth, Pavan Namburi, Kamil Sarac   +2 more
core  

Mamba‐Based Deep Learning Model for Automated Periapical Index Classification Using Periapical Radiographs and Clinical Metadata

International Endodontic Journal, EarlyView.
ABSTRACT Aim Apical periodontitis (AP) diagnosis primarily relies on periapical radiographs (PRs) and the Periapical Index (PAI) scoring system. However, existing automated approaches often simplify PAI into binary categories or ignore essential clinical metadata, limiting diagnostic performance and applicability.
Jiyun Lee, Yudam Park, Sunil Kim, Ikbeom Jang   +3 more
wiley   +1 more source

FSSM-DDI: Fusion State Space Model for predicting drug-drug interaction using social-media and drug descriptions. [PDF]

BMC Biol
Zhang S, Zhang T, Wang D, Zhang X.
europepmc   +1 more source

MemoryMamba: Memory-Augmented State Space Model for Defect Recognition

As automation advances in manufacturing, the demand for precise and sophisticated defect detection technologies grows. Existing vision models for defect recognition methods are insufficient for handling the complexities and variations of defects in ...
Wang, Qianning, Zhou, Yucheng, Hu, He
core  

MaskViM: Domain Generalized Semantic Segmentation with State Space Models

Domain Generalized Semantic Segmentation (DGSS) aims to utilize segmentation model training on known source domains to make predictions on unknown target domains. Currently, there are two network architectures: one based on Convolutional Neural Networks (
Li, Jiahao, Xie, Yuan, Lu, Yang, Qu, Yanyun   +3 more
core   +1 more source

Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation

Journal of Integrative Plant Biology, EarlyView.
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu, Shouzhi Zheng, Longjiang Fan, Xiaoming Zheng, Qian Qian   +4 more
wiley   +1 more source

StateSpaceDynamics.jl: A Julia package for probabilistic state space models (SSMs)

Journal of Open Source Software
Ryan Senne, Zachary Loschinskey, James Fourie, Carson Loughridge, Brian D. DePasquale   +4 more
openaire   +1 more source