Results 141 to 150 of about 5,581 (264)

Integrating multiple surveys using state–space models improves inference of population trends for Illinois furbearers

Wildlife Biology, EarlyView.
Long‐term population monitoring is fundamental to wildlife population management. Furbearer populations are often surveyed using multiple methods, but many estimates of their abundance, especially abundance indices, do not account for detection error, and lead to conflicting interpretations of population trends.
Lauren C. Scopel, Maximilian L. Allen, Thomas J. Benson, Craig A. Miller, Kirk W. Stodola   +4 more
wiley   +1 more source

SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces

Accepted as a workshop paper at ICLR ...
Oshima, Yuta, Taniguchi, Shohei, Suzuki, Masahiro, Matsuo, Yutaka   +3 more
openaire   +2 more sources

Online Gaussian Process State-Space Model: Learning and Planning for Partially Observable Dynamical Systems

, 2020
This paper proposes an online learning method of Gaussian process state-space model (GP-SSM). GP-SSM is a probabilistic representation learning scheme that represents unknown state transition and/or measurement models as Gaussian processes (GPs).
Park, Young-Jin, Choi, Han-Lim, Min, Youngjae, Park, Soon-Seo   +3 more
core  

Nocturnal neighbors: exploring residents' perceptions of urban wildlife related to animal traits identified by camera traps and literature

Wildlife Biology, EarlyView.
Wildlife in urban areas is often a source of conflict, yet relatively few efforts have been directed toward fostering coexistence in these human‐dominated landscapes. While previous research has focused on socio‐demographic factors influencing perceptions of wildlife, the role of specific animal traits in shaping acceptance remains underexplored.
Simon S. Moesch, Marufa Sultana, Geva Peerenboom, Ilse Storch   +3 more
wiley   +1 more source

Effects of environmental factors on arsenic accumulation in rice under field conditions using a Bayesian state space model

Scientific Reports
Rice (Oryza sativa L.) is a major dietary source of arsenic (As) for humans. Understanding the mechanisms of As accumulation in rice is essential for mitigating human exposure. However, the effects of environmental factors on As accumulation in rice have
Kochi Ishito, Ikuko Akahane, Shigeki Kishi, Koji Baba, Noriko Yamaguchi, Keisuke Ono, Ken Nakamura, Satoru Ishikawa   +7 more
doaj   +1 more source

State Space Model for New-Generation Network Alternative to Transformers: A Survey

In the post-deep learning era, the Transformer architecture has demonstrated its powerful performance across pre-trained big models and various downstream tasks.
Yang, Haoxiang, Rong, Yao, Tang, Jin, Jiang, Bo, Wang, Yaowei, Li, Chenglong, Kong, Weizhe, Ding, Yuhe, Li, Yuehang, Li, Shihao, Wang, Shiao, Huang, Ju, Tian, Yonghong, Wang, Ziwen, Wu, Wentao, Wang, Xiao   +15 more
core  

The Problem With Efficiency as a Pervasive Principle in Business School Academia, and What a Sufficiency‐Based Approach Can Do Better

British Journal of Management, EarlyView.
Abstract Efficiency is a pervasive yet insufficiently challenged managerial principle and an integral part of business school academia. However, while there is compelling evidence that efficiency gains can have severe undesirable social and ecological consequences that reduce overall welfare both in terms of well‐being and natural resources, business ...
Stephan M. Schaefer, Christopher Wickert
wiley   +1 more source

MambaLoc: Efficient Camera Localisation via State Space Model

Location information is pivotal for the automation and intelligence of terminal devices and edge-cloud IoT systems, such as autonomous vehicles and augmented reality.
Zhou, Kaichen, Trigoni, Niki, Wang, Jialu, Markham, Andrew   +3 more
core  

Relationships between human tibia diaphysis shape and experimental injury outcomes

Journal of Forensic Sciences, EarlyView.
Abstract Interpretation is central to skeletal trauma analysis; however, the influence of intrinsic skeletal variation, such as long bone shape, on injury is not fully understood. While previous studies have emphasized extrinsic variables such as loading rate, direction, and number of impacts, this study investigates whether diaphyseal shape variation ...
Christopher M. Goden, Amanda M. Agnew, Angela L. Harden   +2 more
wiley   +1 more source

PointABM:Integrating Bidirectional State Space Model with Multi-Head Self-Attention for Point Cloud Analysis

Mamba, based on state space model (SSM) with its linear complexity and great success in classification provide its superiority in 3D point cloud analysis.
Chen, Jia-wei, Gao, Yong-bin, Xiong, Yu-jie   +2 more
core