A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces
A data‐efficient inverse design framework automates the optimization of magnetic soft millirobots for confined‐space navigation. Integrating a physics‐based Cosserat rod model with Bayesian optimization efficiently identifies high‐performance geometries.
Ziyu Ren +5 more
wiley +1 more source
MultiNet-IDS: an ensemble of DRL and LSTM for improved intrusion detection in wireless sensor networks. [PDF]
Hussain S +6 more
europepmc +1 more source
This work presents a programmable multimodal information encryption device that harnesses the dynamic wetting behavior of liquid metal to achieve secure, reconfigurable, and high‐precision encryption and decryption of diverse data types, including text and images.
Xuedong Qiang +10 more
wiley +1 more source
Energy-efficient priority encoding strategies using machine learning based hybrid MAC protocol for wireless sensor networks. [PDF]
Albalawi NS +4 more
europepmc +1 more source
We report a fully wireless, circuit‐free neural stimulator built on a millimetric magneto‐mechano‐electric (MME) cantilever transducer (3 × 10 × 5 mm) with a barium titanate (BTO) piezoelectric ceramic core. Under low‐frequency alternating magnetic fields, the MME cantilever mechanically oscillates, inducing stress on the BTO element and thereby ...
Yijing Wang +7 more
wiley +1 more source
Adaptive and scalable energy aware clustering for mobile wireless sensor networks using a density driven approach. [PDF]
Guo H, Zhang J, Omidizadeh H.
europepmc +1 more source
Inspired by biological ion transport, this work introduces self‐powered multifunctional sensors utilizing tailored hydrogel stacks. Optimizing ionic migration with MXenes and carbon nanotubes achieves high‐performance energy harvesting and unique logic circuit functionality.
Haoran Chen +9 more
wiley +1 more source
Security in Wireless Sensor Networks Using OMNET++: Literature Review. [PDF]
Shaik M, Kim SW.
europepmc +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
A novel swarm intelligence optimization method for efficient task allocation in industrial wireless sensor networks. [PDF]
Wang C, Yu F, Cao Q, Pan Y.
europepmc +1 more source

