Results 71 to 80 of about 656,852 (216)
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source
Ultimate Boundedness Control of Uncertain Robotic Systems
We present a state feedback control law for uncertain robotic systems such that the error between the generalized coordinates and the trajectory of a reference model is uniformly ultimately bounded with respect to any arbitrarily small set of ultimate ...
Singh, Sahjendra N.
core
A scalable distributed observer framework for LiDAR sensor networks is presented for robust tracking and pose estimation of mobile robots. By combining adaptable 3D detection, clustering‐based communication reduction, and intermittent inertial fusion, accurate and efficient estimation is achieved under occlusions and sensing constraints, with formally ...
Isabella Luppi, Ehsan Hashemi
wiley +1 more source
Ultimate boundedness and robust stabilization of bilinear discrete-time systems
In this paper nonlinear time-varying and bilinear discrete-time systems with additive bounded disturbances are considered. First, conditions guaranteeing uniform ultimate boundedness for time-varying nonlinear systems are established.
Nikolaos Athanasopoulos +5 more
core +1 more source
Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley +1 more source
Exponential Boundedness of Nonlinear and Time-Varying Feedback Systems
This correspondence considers a system with a linear time-invariant part and a nonlinearity or time-varying gain in a feedback loop, and obtains conditions for the exponential boundedness of the signals, utilizing the passive operator technique. It turns
Thathachar, MAL, Ranganath, HS
core
ABSTRACT Hybrid nanofluids have emerged as next‐generation working fluids for advanced engineering application due to their superior heat transport capability in relation to the conventional nanofluids. Motivated by the rising demand for accurate prediction of transport phenomena under realistic operating situations, the present study examines the ...
B. Prabhakar Reddy +3 more
wiley +1 more source
LSPR biosensing enables rapid, sensitive, and low‐sample‐volume detection of biomarkers, with broad applications in diagnosing cancer, infectious, and chronic diseases. Advances in nanostructure design, micro/nanofabrication, and microfluidic integration have expanded the potential of LSPR sensors in biomedical diagnostics.
Zhaoxin Geng +4 more
wiley +1 more source
ABSTRACT The growing focus on environmental, social, and governance (ESG) issues has prompted organizations to explore innovative ways to manage their businesses. It has become imperative for organizations to adopt ESG reporting. The applications of federated learning help to enhance the scalability and credibility of ESG reporting in contemporary ...
Naveen Virmani +3 more
wiley +1 more source
Investigation of ultimate boundedness conditions of mechanical systems via decomposition
A mechanical system with linear velocity forces and nonlinear homogeneous positional ones is studied. It is required to obtain conditions for the ultimate boundedness of motions of this system.
Zhan, Jingyuan +1 more
core +1 more source

