Abstract Objective There are several clinical and research applications for determining the amount of brain tissue resected after epilepsy surgery; however, manual segmentation of postoperative magnetic resonance imaging (MRI) is imprecise and time‐consuming.
Raphael Fernandes Casseb +12 more
wiley +1 more source
A Lightweight Hybrid Authentication and Key Agreement Protocol for Decentralized Device-to-Device Communication with Post-Quantum Confidentiality. [PDF]
Savón-Berenguer A +3 more
europepmc +1 more source
Abstract Objective Detection of focal cortical dysplasia (FCD) remains a major challenge in presurgical epilepsy diagnostics. Magnetic resonance imaging (MRI) morphometry increasingly improves lesion detection and postsurgical outcomes. The volume‐based Morphometric Analysis Program, version 2018 (MAP18) with integrated artificial neural network and ...
Lara Bücheler +17 more
wiley +1 more source
LLM-Conductor: A Closed-Loop Resource-Adaptive Architecture for Secure LLM Deployment in Industrial Sensor Networks and IIoT Systems. [PDF]
Xu K, Zhang D, Wang X.
europepmc +1 more source
Graph Neural Network‐Based Prediction of Building Energy Consumption
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti +4 more
wiley +1 more source
ESPiezometer: ESP32-based field tool for installation and validation of piezometric sensors for groundwater level monitoring. [PDF]
Blanco-Jáquez AD +4 more
europepmc +1 more source
Subspace Acceleration for Efficient Nonlinear Water Wave Simulation
We introduce an exponentially weighted subspace acceleration technique to reduce GMRES iterations for solving the Poisson equation with time‐dependent coefficients in nonlinear, dispersive free‐surface flows governed by the incompressible Navier‐Stokes equations. The method significantly reduces memory requirements and computational complexity compared
Rasmus Kleist Hørlyck Sørensen +3 more
wiley +1 more source
Deep learning enabled pseudonymization for preserving data privacy of financial identifiers in public documents in India. [PDF]
Roopalakshmi R, Kailas S, Sreelatha R.
europepmc +1 more source
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu +3 more
wiley +1 more source
An adaptive cryptographic fusion framework for secure and efficient medical image encryption. [PDF]
Jeno Jasmine J +3 more
europepmc +1 more source

