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). HyAdamC: A New Adam-Based Hybrid Optimization Algorithm for Convolution Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/hyadamc-a-new-adam-based-hybrid-optimization-algorithm-for-convolution-neural-networks
MLA“HyAdamC: A New Adam-Based Hybrid Optimization Algorithm for Convolution Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hyadamc-a-new-adam-based-hybrid-optimization-algorithm-for-convolution-neural-networks.
BibTeX@misc{4ortxyz_hyadamc-a-new-adam-based-hybrid-optimization-algorithm-for-convolution-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{HyAdamC: A New Adam-Based Hybrid Optimization Algorithm for Convolution Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/hyadamc-a-new-adam-based-hybrid-optimization-algorithm-for-convolution-neural-networks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): HyAdamC: A New Adam-Based Hybrid Optimization Algorithm for Convolution Neural Networks — https://4ort.xyz/entity/hyadamc-a-new-adam-based-hybrid-optimization-algorithm-for-convolution-neural-networks (retrieved 2026-05-24)
