Results 41 to 50 of about 13,577 (270)

Constrained optimality problem of Markov decision processes with Borel spaces and varying discount factors [PDF]

, 2021
summary:This paper focuses on the constrained optimality of discrete-time Markov decision processes (DTMDPs) with state-dependent discount factors, Borel state and compact Borel action spaces, and possibly unbounded costs.
Wu, Xiao, Tang, Yanqiu
core   +1 more source

Stochastic-based pavement performance and deterioration models: A review of techniques and applications

Alexandria Engineering Journal
Infrastructure assets, such as pavements, naturally deteriorate over time due to traffic loads, environmental conditions, and other external factors. Traditionally, deterministic models have been employed to predict performance, aiding in work planning ...
Che Shobry Shahid, Zulhilmi Amir Zainal, Nur Izzi Md Yusoff, Noraziah Mohammad, Zamira Hasanah Zamzuri, Iswandaru Widyatmoko   +5 more
doaj   +1 more source

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature

Advanced Science, EarlyView.
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo, Yangyang Zhang, Yongcheng Jin, Siwei Deng, Yongqi Chen, Zheng Feng, Hao Wen, Liu Wang, Yilin Li, Fanghong Ou, Yong Shen, Haiming Li, Tianyao Zhou, Xingzhu Ju, Xiaohua Wu   +14 more
wiley   +1 more source

Enhanced Antibacterial Properties of Lyotropic Liquid Crystalline Nanoparticles via Curvature Modulation

Advanced Science, EarlyView.
Lipid nanostructured particles with increasing negative Gaussian curvature progress from vesicles to P‐cubosomes and D‐cubosomes. This curvature hierarchy enhances interaction with bacterial membranes, promotes membrane remodeling and leakage, and potentiates daptomycin activity against MRSA.
Xiangfeng Lai, Shuhong Wang, Chenguang Ding, Xenia Kostoulias, Anton P. Le Brun, Hsien‐Yi Hsu, Jhih‐Hang Jiang, Yajun Wang, Richard A. Strugnell, Anton Y. Peleg, Hsin‐Hui Shen   +10 more
wiley   +1 more source

Checking LTL Properties of Recursive Markov Chains [PDF]

, 2005
We present algorithms for the qualitative and quantitative model checking of Linear Temporal Logic (LTL) properties for Recursive Markov Chains (RMCs). Recursive Markov Chains are a natural abstract model of procedural probabilistic programs and related ...
M. Yannakakis, Yannakakis, Mihalis, Etessami, Kousha; id_orcid, K. Etessami   +3 more
core   +1 more source

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

Solving Hidden-Semi-Markov-Mode Markov Decision Problems [PDF]

, 2014
International audienceHidden-Mode Markov Decision Processes (HM-MDPs) were proposed to represent sequential decision-making problems in non-stationary environments that evolve according to a Markov chain.
Hadoux, Emmanuel, Beynier, Aurélie, Weng, Paul, Aurélie Beynier, Emmanuel Hadoux, Paul Weng   +5 more
core   +1 more source

Redistributive land reforms, agricultural productivity, and structural change: New cross‐national evidence

American Journal of Agricultural Economics, EarlyView.
Abstract Large‐scale land reforms constitute a substantial redistribution of wealth and reallocation of agricultural land, which is a major form of asset and production input in developing countries. While land redistribution (from the rich to the poor) remains a highly controversial issue, extensive evidence on its effect is limited.
Devashish Mitra, Abdulaziz B. Shifa, Lan Anh Tong, Mehmet A. Ulubasoglu   +3 more
wiley   +1 more source

Undiscounted Semi-Markov Decision Processes with Countably Infinite Action Spaces

Algorithms
In this article, we study semi-Markov decision processes (SMDPs) under the limiting ratio average (undiscounted) pay-off criterion, where the state space is finite and the action space of the decision maker is possibly countably infinite.
Kushal Guha Bakshi, Sagnik Sinha, Ramakant Bhardwaj, Purvee Bhardwaj, Satyendra Narayan   +4 more
doaj   +1 more source

Quantum Phenomena in Molecular and Biological Systems: A Decoherence‐Based Decision Framework With Falsifiable Predictions and a Failure‐Mode Taxonomy

Advanced Physics Research, EarlyView.
A physics‐grounded framework based on decoherence timescales (τ_dec vs τ_func), Markovian validity, and falsifiability criteria is applied across molecular systems to distinguish where quantum effects are necessary, marginal, or irrelevant. The analysis integrates quantum chemistry, biological quantum mechanisms, and quantum computing under a unified ...
Sarfaraz K. Niazi
wiley   +1 more source