Results 231 to 240 of about 110,085 (292)

Trap‐Modified Inverted Organic Photodetectors via Layer‐by‐Layer Processing with Poly(N‐vinylcarbazole) Additives

Advanced Functional Materials, EarlyView.
Trap state engineering in inverted organic photodetectors (OPDs) is achieved via combined layer‐by‐layer (LbL) processing and poly(N‐vinylcarbazole) (PVK) incorporation. LbL reduces the trap density while PVK additives gradually shift trap states from shallow band‐edge to deep mid‐gap levels, tailoring the energy distribution.
Jingwei Yi, Yi Yang, Yusen Pei, Apurva Gadikar, Vahid Mahdikhah, Myratgeldi Kotyrov, Seung Hyun Kim, Kenan Gundogdu, Wei You, Harald Ade, Franky So   +10 more
wiley   +1 more source

A Lightweight Modified Adaptive UNet for Nucleus Segmentation. [PDF]

Sensors (Basel)
Kader Khan MR, Mohaidat T, Khalil K.
europepmc   +1 more source

Deepfake defense: Combining spatial and temporal cues with CNN-BiLSTM-transformer architecture. [PDF]

PLoS One
Yadav S, Mangalampalli SS.
europepmc   +1 more source

Multi-wavelength diffractive optical neural network integrated with 2D photonic crystals for joint optical classification. [PDF]

Nanophotonics
Zhang Y, Zhang K, Hu P, Li D, Feng S.
europepmc   +1 more source

A chaotic parallel hash engine with dynamic stochastic diffusion for blockchain and cloud security. [PDF]

Sci Rep
Wang Q, Yang Y, Zhao M, Wan H, Li B, Yan X.   +5 more
europepmc   +1 more source

Quantum-enhanced hybrid deep reinforcement learning for real-time volleyball tactical decision making. [PDF]

Sci Rep
Cai N, Zhao M, Ke Y, Liu X.
europepmc   +1 more source

Modular Adaptive Processing Infrastructure (MAPI): a blueprint for interconnecting generic workflows with modern interfaces. [PDF]

J Synchrotron Radiat
Hafner A, Kourousias G, De Simone M, Pugliese R.   +3 more
europepmc   +1 more source

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Parallel architectures for image processing

Electronics & Communication Engineering Journal, 1998
Image processing is often considered a good candidate for the application of parallel processing because of the large volumes of data and the complex algorithms commonly encountered. This paper presents a tutorial introduction to the field of parallel image processing. After introducing the classes of parallel processing a brief review of architectures
A. Downton, D. Crookes
openaire   +1 more source

Parallel Image Processing with the Block Data Parallel Architecture

IBM Journal of Research and Development, 1996
Many digital signal and image processing algorithms can be speeded up by executing them in parallel on multiple processors. The speed of parallel execution is limited by the need for communication and synchronization between processors. In this paper, we present a paradigm for parallel processing that we call the block data flow paradigm (BDFP).
W.E. Alexander, D.S. Reeves, C.S. Gloster   +2 more
openaire   +1 more source