Complex conjugate removal in optical coherence tomography using phase aware generative adversarial network. [PDF]
Bellemo V +5 more
europepmc +1 more source
ABSTRACT This article explores the management adaptation strategies non‐governmental organizations (NGOs) managers employ in order to operate in repressive political environments. It answers the question: how do NGO managers initiate, manage and sustain internal change when the political/regulatory environment changes?
Charles Kaye‐Essien +2 more
wiley +1 more source
Unsupervised non-small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity-based discriminator. [PDF]
Fang C, Li X, Yang Y.
europepmc +1 more source
Abstract Managing wildfire risk requires consideration of complex and uncertain scientific evidence as well as trade‐offs between different values and goals. Conflicting perspectives on what values and goals are most important, what ought to be done and what trade‐offs are acceptable complicate those decisions.
Pele J. Cannon, Sarah Clement
wiley +1 more source
Pix2Pix generative-adversarial network in improving the quality of T2-weighted prostate magnetic resonance imaging: a multi-reader study. [PDF]
Başar Y +11 more
europepmc +1 more source
Advancing Extracellular Vesicle Research: A Review of Systems Biology and Multiomics Perspectives
ABSTRACT Extracellular vesicles (EVs) are membrane‐bound vesicles secreted by various cell types into the extracellular space and play a role in intercellular communication. Their molecular cargo varies depending on the cell of origin and its functional state.
Gloria Kemunto +2 more
wiley +1 more source
Fish species identification on low resolution-a study with enhanced super-resolution generative adversarial network (ESRGAN), YOLO and VGG-16. [PDF]
Adhikary S +3 more
europepmc +1 more source
Long-Term Industrial Electricity Forecasting Using Generative Adversarial Networks and Deep Learning
Truong Ngoc Cuong, Duy Anh Nguyễn
openalex +1 more source
Flowchart the Convolutional Graph Neural Network framework for predicting critical impact velocity in heterogeneous PBX‐9501: A) Initial configurations of three PBX 9501 samples with varying pore structure. B) Generated graph representation for each sample, with nodes positioned at each pore and edges connecting all pores.
Roberto Perera +4 more
wiley +1 more source
High resolution photoacoustic vascular image reconstruction through the fast residual dense generative adversarial network. [PDF]
Zhang Y +7 more
europepmc +1 more source

