Results 191 to 200 of about 765,915 (346)

Forensic identification using siamese, transfer learning and custom deep learning models. [PDF]

Sci Rep
Sevinc O, Mehrubeoglu M, Yılmaz AA, Derrick S.   +3 more
europepmc   +1 more source

Super‐Robust Telecommunications Enabled by Topological Half‐Supermodes

Advanced Science, EarlyView.
Through topological half‐supermode engineering, we realize a valley‐ridge gap waveguide that is directly compatible with conventional waveguides and features topological protection. This design halves the lateral size via a PEC boundary, enabling direct TE₁₀‐mode matching and robust bend‐immune transmission.
Rui Zhou, Xintong Shi, Hai Lin, Yan Ren, Hang Liu, Zihao Yu, Jing Jin, Zhihao Lan, Menglin L. N. Chen   +8 more
wiley   +1 more source

In-situ physical adjoint computing in multiple-scattering electromagnetic environments for wave control. [PDF]

Nat Commun
Guillamon J, Wang CZ, Lin Z, Kottos T.
europepmc   +1 more source

How Do the Evolution and Innovation of Social Network Analysis Matter to Computer Science and Communications?

, 2013
Romana Xerez
openalex   +2 more sources

Multi‐Dimensional Acoustic Cascaded Holographic Encryption with Instantaneous Visual Decryption via Particle Manipulation

Advanced Science, EarlyView.
Acoustic holograms act as key tools for information encryption, yet current schemes limit encryption dimensionality/security and require time‐consuming decryption. A compact device integrates multi‐dimensional cascaded acoustic holography with particle manipulation, employs extra secret keys, enables rapid decryption, and is validated via 1D/2D/3D ...
Qin Lin, Feiyan Cai, Yunqing Liu, Zejiao Zhou, Jiayang Li, Rujun Zhang, Hongpeng Chen, Hairong Zheng, Huailing Zhang   +8 more
wiley   +1 more source

Efficient subcarrier allocation for smart grid communications in neighborhood area networks. [PDF]

PLoS One
Ikram M, Zhiwen P, Nan L, Ahmed H.
europepmc   +1 more source

Assessment of the Results from Conducted Experimental Training in Computer Networks and Communications in the Laboratory Exercises [PDF]

, 2017
Gencho Stoitsov
openalex   +1 more source

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

Advanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu, Penglei Wang, Gaoyuan Xu, Jitao Lu, Qinke Peng, Danyang Wu, Hequan Sun   +6 more
wiley   +1 more source

Enhancing reliable and energy-efficient UAV communications with RIS and deep reinforcement learning. [PDF]

PeerJ Comput Sci
Ahmad W, Islam U, Abdulkadhem AA, Shah B, Moreira F, Abbas A.   +5 more
europepmc   +1 more source

Some issues related to simulation of the tracking and communications computer network

, 1989
Robert C. Lacovara
openalex   +1 more source