Results 71 to 80 of about 83,923 (261)
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov +3 more
wiley +1 more source
The optimal integration of redundant actuators in an overactuated vehicle may be found by considering energy efficiency in the actuator allocation strategy.
Daniel Klein +4 more
doaj +1 more source
Optimal Power Allocation for Channel-Based Physical Layer Authentication in Dual-Hop Wireless Networks. [PDF]
Fan N, Sang J, Heng Y, Lei X, Tao T.
europepmc +1 more source
Auto‐Routing Fluidic Printed Circuit Boards
This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre +3 more
wiley +1 more source
Channel Estimation and Optimal Power Allocation for a Multiple-Antenna OFDM System
We propose combining channel estimation and optimal power allocation approaches for a multiple-antenna orthogonal frequency division multiplexing (OFDM) system in high-speed transmission applications.
Yao Kung, Tung Tai-Lai
doaj +1 more source
Energy-Efficient Power Allocation for MIMO-SVD Systems
In this paper, we address the problem of energy-efficient power allocation in MIMO systems. In fact, the widely adopted water-filling power allocation does not ensure the maximization of the energy efficiency (EE).
Lokman Sboui +2 more
doaj +1 more source
The Optimal Power Allocation for Sum Rate and Energy Efficiency of Full-Duplex Two-Way Communication Network. [PDF]
Ye H, Chen Z, Jia Y, Chen S.
europepmc +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Dynamic resource allocation in massive MIMO systems faces severe challenges such as high dimensionality, non-convexity, multiple constraints, and rapid time-varying channel states.
Dan Ma, Ze-Hui Sun
doaj +1 more source
In this paper, we study the energy efficiency of bidirectional wireless information and power transfer in cooperative sensor networks, where the relay node can decode and forward information from the sensor node (SN) to base station (BS), and assist the ...
Ruirui Chen +5 more
doaj +1 more source

