Results 81 to 90 of about 1,153,224 (274)

On the Stochastic Stability of Deep Markov Models [PDF]

arXiv, 2021
Deep Markov models (DMM) are generative models that are scalable and expressive generalization of Markov models for representation, learning, and inference problems. However, the fundamental stochastic stability guarantees of such models have not been thoroughly investigated. In this paper, we provide sufficient conditions of DMM's stochastic stability
arxiv  

Recent Advances in Single‐Atom Catalyst for Solar Energy Conversion: A Comprehensive Review and Future Outlook

Advanced Functional Materials, EarlyView.
This review highlights the potential of single‐atom catalysts in three key photocatalytic reactions: the hydrogen evolution reaction (HER), nitrogen reduction reaction for ammonia synthesis, and carbon dioxide reduction reaction (CO2RR) for chemical fuels.
Saad Mehmood, Saddam Sk, B. Moses Abraham, Mohsen Ahmadipour, Ujjwal Pal, Joydeep Dutta   +5 more
wiley   +1 more source

Optimal Control Based on Reinforcement Learning for Flexible High-Rise Buildings with Time-Varying Actuator Failures and Asymmetric State Constraints

Buildings
This study centers on the vibration suppression of high-rise building systems under extreme conditions, exploring a reinforcement learning (RL)-based vibration control strategy for flexible building systems with time-varying faults and asymmetric state ...
Min Li, Rui Xie
doaj   +1 more source

Comparisons of different deep learning-based methods on fault diagnosis for geared system

International Journal of Distributed Sensor Networks, 2019
The running state of a geared transmission system affects the stability and reliability of the whole mechanical system. It will greatly reduce the maintenance cost of a mechanical system to identify the faulty state of the geared transmission system ...
Bing Han, Xiaohui Yang, Yafeng Ren, Wanggui Lan   +3 more
doaj   +1 more source

Stability revisited: new generalisation bounds for the Leave-one-Out [PDF]

arXiv, 2016
The present paper provides a new generic strategy leading to non-asymptotic theoretical guarantees on the Leave-one-Out procedure applied to a broad class of learning algorithms. This strategy relies on two main ingredients: the new notion of $L^q$ stability, and the strong use of moment inequalities.
arxiv  

Chiral Engineered Biomaterials: New Frontiers in Cellular Fate Regulation for Regenerative Medicine

Advanced Functional Materials, EarlyView.
Chiral engineered biomaterials can selectively influence cell behaviors in regenerative medicine. This review covers chiral engineered biomaterials in terms of their fabrication methods, cellular response mechanisms, and applications in directing stem cell differentiation and tissue function.
Yuwen Wang, Xin Zhang, Denghui Xie, Chunying Chen, Zhifeng Huang, Zhong Alan Li   +5 more
wiley   +1 more source

Introduction: Investigating Written Dyadic Interaction through a Complex Dynamic Systems Theory Perspective

Studies in Applied Linguistics & TESOL, 2017
Since its inception in the late 1960’s, the field of Second Language Acquisition (SLA) has undergone many transformations. As pre-existing theories have been expanded upon and new theories introduced, researchers and practitioners have come to a deeper ...
Shafinaz Ahmed, Anna Ciriani Dean
doaj   +1 more source

Advances in Radiative Heat Transfer: Bridging Far‐Field Fundamentals and Emerging Near‐Field Innovations

Advanced Functional Materials, EarlyView.
This review synthesizes the evolution of radiative heat transfer, emphasizing the transition from far‐field to near‐field regimes. Traditional frameworks, such as Planck's law, are revisited alongside modern innovations like fluctuational electrodynamics. Applications span nanoscale thermal management, energy harvesting, and thermophotovoltaic systems.
Ambali Alade Odebowale, Andergachew Berhe, Rasheed T. Ogundare, Salah Abdo, Amer Abdulghani, Haroldo T. Hattori, Andrey E. Miroshnichenko   +6 more
wiley   +1 more source

Method of Motion Planning for Digital Twin Navigation and Cutting of Shearer

Sensors
To further enhance the intelligence level of coal mining faces and achieve the autonomous derivation, learning, and optimization of shearer navigation cutting, this paper proposes the methods of shearer digital twin navigation cutting motion planning ...
Bing Miao, Shirong Ge, Yunwang Li, Yinan Guo   +3 more
doaj   +1 more source

Making Photoresponsive Metal–Organic Frameworks an Effective Class of Heterogeneous Photocatalyst

Advanced Functional Materials, EarlyView.
This review summarizes photoresponsive MOFs for photocatalytic applications, focusing on their capacity to enhance light harvesting, charge transfer, and surface reactions. While existing studies provide foundational insights, emerging characterization techniques enable a deeper understanding of photoresponsive MOFs.
Rui Liu, Hao Wu, Hoi Ying Chung, Yun Hau Ng   +3 more
wiley   +1 more source