An adaptive, energy-efficient and secure routing protocol for zone-related mobile Ad-hoc networks using reinforcement learning. [PDF]
Singh SB +5 more
europepmc +1 more source
Customer service and engineering costs — impact of overhead allocations
openaire +1 more source
Some aspects of overhead transmission lines lightning performance estimation in engineering practice
Mladen S. Banjanin, Milan S. Savić
openaire +1 more source
Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed +4 more
wiley +1 more source
Optimal cluster-based energy efficient routing scheme for QoS aware IoT-enabled wireless body area network. [PDF]
Irine Shyja V +4 more
europepmc +1 more source
A trust‐region funnel algorithm for gray‐box optimization
Abstract Gray‐box optimization, where parts of optimization problems are represented by algebraic models while others are treated as black‐box models lacking analytic derivatives, remains a challenge. Trust‐region (TR) methods provide a robust framework for gray‐box problems through local reduced models (RMs) for black‐box components, but they are ...
Gul Hameed +4 more
wiley +1 more source
A secure group-based authentication protocol for IoVT in 5G-enabled smart transportation and road safety systems. [PDF]
Singh G +3 more
europepmc +1 more source
Graph‐based imitation and reinforcement learning for efficient Benders decomposition
Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman +3 more
wiley +1 more source
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
Anonymous and Efficient Chaotic Map-Based Authentication Protocol for Industrial Internet of Things. [PDF]
Zeng D +6 more
europepmc +1 more source

