Results 221 to 230 of about 167,419 (271)

NetworkGuard: An Edge-Based Virtual Network Sensing Architecture for Real-Time Security Monitoring in Smart Home Environments. [PDF]

Sensors (Basel)
El Khaled D, AlOtaibi R, Novas N, Gazquez JA.   +3 more
europepmc   +1 more source

i‐Tac: Inverse Design of 3D‐Printed Tactile Elastomers with Tuneable Optical and Mechanical Properties

Advanced Intelligent Systems, EarlyView.
Inspired by the multi‐tissue architecture of the human fingertip dermis (A), this work introduces a mixture design using three PolyJet materials (AC/TM/GM) to expand the achievable elastomer property space (B). An inverse design pipeline (i‐Tac) is developed to map target optical/mechanical requirements to optimal material compositions (C), enabling ...
Wen Fan, Dandan Zhang
wiley   +1 more source

Energy-Efficient 3D Trajectory Optimization and Resource Allocation for UAV-Enabled ISAC Systems. [PDF]

Entropy (Basel)
Jing L, Wang H, Qin Z, Zhao Y, Zhu Y, Zhao W.   +5 more
europepmc   +1 more source

A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks

Advanced Intelligent Systems, EarlyView.
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan, Oliver Artner, Paul‐Philipp Manea, Sebastian Siegel, Susanne Hoffmann‐Eifert, Regina Dittmann, John Paul Strachan   +6 more
wiley   +1 more source

SOLVE: A structured orthogonal latent variable framework for disentangling confounding in matrix data. [PDF]

Biol Methods Protoc
She J, Alterovitz G.
europepmc   +1 more source

“It Is Much Safer to Be Sparse than Connected”: Safe Control of Robotic Swarm Density Dynamics with PDE Optimization with State Constraints

Advanced Intelligent Systems, EarlyView.
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley   +1 more source

A well-defined local continuum damage model with softening via convexification and entropic regularization

Lauff C, Schlichting A, Böhlke T, Schneider M.   +3 more
europepmc   +1 more source

On the mathematical structure and numerical solution of discrete-continuous optimization problems in DDCM. [PDF]

Z Angew Math Phys
Gebhardt CG, Lange S, Steinbach MC.
europepmc   +1 more source

Dosimetric applicator characterization in hyperthermia: an automated quality assurance procedure based on relative specific absorption rate measurements. [PDF]

Strahlenther Onkol
Herrera TD, Zweije R, Kok HP, Crezee J.
europepmc   +1 more source