Results 111 to 120 of about 6,497 (242)

Cooperation Spectrum Sensing Detecting Algorithm Based on Featured Belief Points in Cognitive Radio Network

Dianxin kexue, 2013
In order to solve the dilemma of the tradeoff between spectrum sensing performance and spectrum sensing efficiency in cognitive radio network，a nove1 ED/FD cooperation spectrum sensing algorithm based on featured belief points was proposed.
Hongyan Zheng, Bo Wu, Yanpeng Feng, Xianjun Meng   +3 more
doaj  

Accelerating virtual patient generation with a Bayesian optimization and machine learning surrogate model

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 486-494, March 2025.
Abstract The pharmaceutical industry has increasingly adopted model‐informed drug discovery and development (MID3) to enhance productivity in drug discovery and development. Quantitative systems pharmacology (QSP), which integrates drug action mechanisms and disease complexities to predict clinical endpoints and biomarkers is central to MID3.
Hiroaki Iwata, Ryuta Saito
wiley   +1 more source

Impact of Packaging and Recycling Systems on Material Recirculation: A Stage‐Decomposition Model

Packaging Technology and Science, EarlyView.
A system‐level view emerges from decomposing recycling into four stages (participation, collection, sorting and process yield), diagnosing constraints and targeting interventions. Cumulative equivalent uses (CEUs) quantify long‐term retention, revealing marginal improvements at high baselines generate disproportionately larger gains than low‐baseline ...
Diogo Figueirinhas, Daniel Hellström, Henrik Pålsson, Yulia Vakulenko   +3 more
wiley   +1 more source

Multi‐Objective Bayesian Co‐Optimization of Parameterized Moving Horizon Estimation and Model Predictive Control

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper proposes a Machine Learning (ML)‐enabled estimator‐controller design framework, in which a parameterized Model Predictive Controller (MPC) and a parameterized Moving Horizon Estimator (MHE) are jointly refined using Bayesian Optimization (BO).
Hossein Nejatbakhsh Esfahani, Javad Mohammadpour Velni   +1 more
wiley   +1 more source

Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling, Maxwell Hogan, Abdulla Tammam, Nabil Aouf   +3 more
wiley   +1 more source

Temporal Dynamics of Tourism Sustainability: Economic and Environmental Evidence From Greece

Sustainable Development, EarlyView.
ABSTRACT Tourism is a resource‐intensive sector that generates substantial economic benefits while exerting long‐term pressure on energy systems and the environment. This study examines the sustainability of tourism in Greece by analyzing how tourism growth affects economic performance, energy consumption, and carbon emissions across different time ...
Stylianou Tasos
wiley   +1 more source

Safety-Constrained Reinforcement Learning for Energy-Aware Transmission Scheduling in Seismic Wireless Sensor Networks. [PDF]

Sensors (Basel)
Nazamdin I, Reid A.
europepmc   +1 more source

From Resilience to “Susilience”: Toward Further Theoretical Perspectives in Sustainable Supply Chains

Sustainable Development, EarlyView.
ABSTRACT The increasing exposure of global supply chains to environmental, social, and operational disruptions has intensified scholarly interest in sustainability and resilience. While these concepts are widely discussed, existing research often addresses them separately, preventing understanding of their combined role in supply chain management.
Mahmut Mollaoglu, Bükra Doganer
wiley   +1 more source

Dynamic Brain State Alterations in Narcolepsy: A Hidden Markov Model Approach to Thalamocortical Instability and Symptom-Specific Neural Correlates. [PDF]

Brain Behav
Li W, Jia L, Wang X, Zhao Y, Li Z, Geng Z.   +5 more
europepmc   +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