Results 81 to 90 of about 10,493 (262)

Mazus dabieshanensis sp. nov. (Mazaceae) from eastern China

Nordic Journal of Botany, EarlyView.
Mazus dabieshanensis, a newly described species endemic to the Dabieshan Mountains in eastern China, is illustrated and described. Molecular phylogenetic analyses based on nuclear and chloroplast DNA sequences consistently demonstrate that this new species forms a stable clade with other Mazus species characterized by a pubescent ovary. Morphologically,
Rui Tong, Zhuo‐Min Shen, Peng‐Rui Luo, Tao Deng   +3 more
wiley   +1 more source

Bridging Human and Plant Adaptations for Climate Resilience

PLANTS, PEOPLE, PLANET, EarlyView.
Climate change is transforming agriculture through both gradual shifts and increasingly unpredictable extremes, challenging farmers' ability to protect crops and livelihoods. This study brings together farmer experiences and plant adaptation strategies to explore how people and plants respond to similar climate pressures.
Nicola Favretto, Heng Lim Tan, Gemma Brain, Daphne Ezer   +3 more
wiley   +1 more source

Description and analysis of non-stationary signals by nested semi-Markov processes

Journal of Measurement Science and Instrumentation, 2014
The possibility of describing the time-dependent processes of scattering by underlying surfaces and the clear sky,as well as the seasonal behaviour of the refractive index of troposphere by using nested semi-Markov processes has been considered.
V F Kravchenko, V I Lutsenko, I V Lutsenko, D O Popov   +3 more
doaj  

Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 540-550, March 2025.
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou, Anne Auperin, Jôel Guigay, Sébastien Salas, Sebastien Benzekry   +4 more
wiley   +1 more source

A new approach and software support to reliability analysis of repairable complex systems [PDF]

Computer Science Journal of Moldova, 1995
A new method of reliability analysis of complex systems and software supporting is suggested. It is based on modelling of their evolution by means of semi- Markov processes.
A. Corlat, S. Corlat
doaj  

Clarification of basic factorization identity is for the almost semi-continuous latticed Poisson processes on the Markov chain

Karpatsʹkì Matematičnì Publìkacìï, 2013
Let $\{\xi(t), x(t)\}$ be a homogeneous semi-continuous lattice Poisson process on the Markov chain. The jumps of one sign are geometrically distributed, and jumps of the opposite sign are arbitrary latticed distribution.
M. S. Gerich
doaj   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

Journal of Field Robotics, EarlyView.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi, Alberto Topini, Alessandro Bucci, Alessandro Ridolfi   +3 more
wiley   +1 more source

Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel, Xavier Boulanger, Vegard Arneson   +2 more
wiley   +1 more source

Proper account of auto-correlations improves decoding performances of state-space (semi) Markov models

Peer Community Journal
State-space models are widely used in ecology to infer hidden behaviors. This study develops an extensive numerical simulation-estimation experiment to evaluate the state decoding accuracy of four simple state-space models.
Bez, Nicolas, Gloaguen, Pierre, Etienne, Marie-Pierre, Lanco, Sophie, Joo, Rocío, Rivot, Etienne, Walker, Emily, Woillez, Mathieu, Mahévas, Stéphanie   +8 more
doaj   +1 more source

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

SmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo, Rodrigo S. Jamisola Jr., Molaletsa Namoshe   +2 more
wiley   +1 more source