Results 61 to 70 of about 19,009 (219)
An application of a semi-hidden Markov model in wireless communication systems
Stochastic processes are approved presentation of real systems which its development in space or time can be supposed as random. A semi-hidden Markov model as a type of stochastic processes is a modification of hidden Markov models with states that are ...
Shaghayegh Kordnoori +2 more
doaj +1 more source
A self‐sustainable vehicular vibration and indoor environment monitoring IoT platform is developed which integrates a hybrid spring‐coupled broadband energy harvester with a machine learning‐assisted PAN‐CuSCN nanofiber triboelectric vibration sensor for subtle‐to‐wide‐range vibration detection and road/speed classification.
Trilochan Bhatta +6 more
wiley +1 more source
In this paper, we revisit the notion of the “minus logarithm of stationary probability” as a generalized potential in nonequilibrium systems and attempt to illustrate its central role in an axiomatic approach to stochastic nonequilibrium thermodynamics ...
Lowell F. Thompson, Hong Qian
doaj +1 more source
From Artificial to Embodied and Physical Intelligence in Smart Manufacturing
Smart manufacturing is reframed through complementary artificial, embodied, and physical intelligence, spanning computational reasoning, perception‐action coupling, and material‐level adaptation. Their integration across design, fabrication, operation, and maintenance reveals how intelligence can be co‐designed across algorithms, embodied agents, and ...
Kang Wang +9 more
wiley +1 more source
Degradation Modeling Using Stochastic Filtering for Systems under Imperfect Maintenance
Wiener process with a linear drift has been extensively studied in degradation modeling, mainly due to the existence of an analytical expression of the first hitting time distribution which permits feasible mathematical developments.
M. Zhang, M. Xie
doaj +1 more source
STRIDE: A Sequencing Depth Robust Metric for Sparse Chromosome Conformation Capture Data Comparison
A mean first passage time (MFPT)‐based representation transforms sparse Hi‐C contact maps into robust topological representations, preserving biologically meaningful chromatin features and facilitating robust analysis of TADs, chromatin loops, differential chromatin contacts, and sparse single‐cell Hi‐C data.
Bingxiang Xu +4 more
wiley +1 more source
ReLink: Reliable Deep Learning for Microscopic Motion Tracking
ReLink enables reliable trajectory linking in single‐particle tracking by integrating physics‐informed motion statistics with confidence‐based adaptive filtering. Across diverse simulated and experimental conditions, ReLink robustly reconstructs trajectories and preserves the fidelity of downstream analyses, enabling accurate characterization of ...
Yuan Jiang +7 more
wiley +1 more source
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar +9 more
wiley +1 more source
Does a Specialized Niche Market Vegetable Processor Enjoy Bargaining Power?
ABSTRACT Agribusiness companies may achieve competitive advantage through specialization within niche markets. One such niche is the fresh‐cut fruit and vegetable market, which has been steadily growing in Germany. This study examines whether the specialization of a German fresh‐cut producer grants it with market power within this niche market.
Nikolas Bublik +3 more
wiley +1 more source
LÉVY-BASED ERROR PREDICTION IN CIRCULAR SYSTEMATIC SAMPLING
In the present paper, Lévy-based error prediction in circular systematic sampling is developed. A model-based statistical setting as in Hobolth and Jensen (2002) is used, but the assumption that the measurement function is Gaussian is relaxed.
Kristjana Ýr Jónsdóttir +1 more
doaj +1 more source

