Results 131 to 140 of about 2,067 (261)

Optical Skyrmions with Tunable or Reconfigurable Topology Using Spin‐Decoupled Metaoptics

Laser &Photonics Reviews, EarlyView.
The work introduces advanced optical elements capable of generating and dynamically reconfiguring complex light patterns known as optical skyrmions. By precisely shaping light polarization at the nanoscale, a single engineered metasurface can generate and manipulate robust and tunable polarization textures in an efficient and scalable way.
Andrea Vogliardi, Daniele Bonaldo, Simone Dal Zilio, Vittorio Apolloni, Filippo Romanato, Gianluca Ruffato   +5 more
wiley   +1 more source

Roadmap on singular optics and its applications. [PDF]

Appl Phys B
Balasubramaniam GM, Allam SR, Anand V, Ansari MH, Arockiaraj FG, Arnon S, Badavath PS, Baliyan M, Bouchal P, Bouchal Z, Choudhary S, Dorrah AH, Duan Y, Everts K, Forbes A, Foreman MR, Gailevičius D, Gautam A, Gbur G, Gopinath S, Joshi N, Juodkazis S, Korotkova O, Kukli K, Kupferman J, Kumar P, Kumar R, Kumar V, Manavalan G, Mehra A, Nishchal NK, Omatsu T, Peters C, Reddy ANK, Reddy SG, Rodríguez-Fajardo V, Rosales-Guzmán C, Rosen J, Sarita, Shikder A, Singh RK, Su X, Tamm A, Velagala G, Viewegh P, Vilardell EP, Willner AE, Xavier API, Yadav A, Zhou H.   +49 more
europepmc   +1 more source

Fractional Moment Theory for Anomalous Transport: A Unified Framework for Lévy Flights, Fractals, and Complex Dynamical Systems

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT We develop a unified mathematical framework extending classical moment theory from discrete integer orders to a continuous spectrum of real orders f>0$$ f>0 $$, providing a systematic statistical characterization of complex systems exhibiting power‐law behavior.
Farrukh A. Chishtie
wiley   +1 more source

Convolutional neural network and wavelet composite against geometric attacks a watermarking approach. [PDF]

Sci Rep
Lakshmi C, Nithya C, Sivaraman R, Sridevi A, Santhiyadevi R, Ravichandran D, Banu SA, Mahalingam H, Meikandan PV, Amirtharajan R.   +9 more
europepmc   +1 more source

Active Electromagnetic Interference Suppression for MRI and Proton Resonance Frequency Shift Thermometry During MRI‐Guided Microwave Ablation

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a software‐based active electromagnetic interference (EMI) suppression (AES) framework on whole‐body multi‐channel MRI systems for reliable MRI and MR thermometry during MRI‐guided microwave ablation (MWA). Methods In addition to primary imaging coils, an unloaded standard body array coil was positioned outside the imaging ...
Qing Dai, Jason Chiang, Shu‐Fu Shih, Wenqi Zhou, David S. K. Lu, Holden H. Wu   +5 more
wiley   +1 more source

RFGLNet for adverse weather domain-generalized semantic segmentation with frequency low-rank enhancement. [PDF]

Sci Rep
Ye X, Shi X, Li Y.
europepmc   +1 more source

Where were all the trees? Computer vision meets landscape history to unlock the potential of historical Ordnance Survey maps

People and Nature, EarlyView.
Abstract The first edition of the Ordnance Survey's 1:2500 County Series is marked with treed areas, such as woodlands and orchards, and, remarkably, freestanding trees. Consequently, it is an unparalleled source of information on the distribution of trees across Britain in the mid‐late nineteenth century, when the maps were first surveyed. In order to
Toby Pillatt, William A. P. Smith
wiley   +1 more source

Fault diagnosis of rolling bearing failures using a multi-stage e-CNN-GRU-SAM network. [PDF]

Sci Rep
Bisoyi S, Rathi AK, Mahato S.
europepmc   +1 more source

Data‐Driven Prediction of Block Copolymer Morphology Using Coarse‐Grained Modeling and Machine Learning

Journal of Polymer Science, EarlyView.
An integrated framework combining high‐throughput CG‐MD simulations, automated image‐based feature extraction, and supervised machine learning enables efficient, interpretable, and data‐driven prediction of block copolymer morphological behaviors.
Lan Xu, Zhaofan Li, Wenjie Xia
wiley   +1 more source

Grammar error diagnosis using graph convolutional networks with knowledge graph integration. [PDF]

Sci Rep
Zhang J, Ma Y.
europepmc   +1 more source