Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). DICAM: Deep Inception and Channel-wise Attention Modules for underwater image enhancement. Retrieved May 24, 2026, from https://4ort.xyz/entity/dicam-deep-inception-and-channel-wise-attention-modules-for-underwater-image-enhancement
MLA“DICAM: Deep Inception and Channel-wise Attention Modules for underwater image enhancement.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dicam-deep-inception-and-channel-wise-attention-modules-for-underwater-image-enhancement.
BibTeX@misc{4ortxyz_dicam-deep-inception-and-channel-wise-attention-modules-for-underwater-image-enhancement_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DICAM: Deep Inception and Channel-wise Attention Modules for underwater image enhancement}}, year = {2026}, url = {https://4ort.xyz/entity/dicam-deep-inception-and-channel-wise-attention-modules-for-underwater-image-enhancement}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DICAM: Deep Inception and Channel-wise Attention Modules for underwater image enhancement — https://4ort.xyz/entity/dicam-deep-inception-and-channel-wise-attention-modules-for-underwater-image-enhancement (retrieved 2026-05-24)
