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NCAA 2021: International Conference on Neural Computing for Advanced Applications

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Día de Entrega:
2021-04-05 Extended
Fecha de Notificación:
2021-05-16
Fecha de conferencia:
2021-08-27
Ubicación:
Guangzhou, China
Vistas: 14701   Seguidores: 1   Asistentes: 0

Índice Conference Partner (CP-I)

43,0 / 100
Puesto n.º 3.762 de 5.682 congresos · 67% superior

N.º 478 de 739 en Inteligencia artificial y aprendizaje automático

Evidencia limitada: este congreso no figura en CCF / ICORE / QUALIS y no consta su tasa de aceptación, así que la mayor parte de la puntuación recae en la línea base neutra.
Reconocimiento académico (35%) Sin datos: se puntúa con la línea base neutra de 50
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50
Ediciones celebradas (20%) Sin datos: se puntúa con la línea base neutra de 50
Atención de la comunidad (10%)
17
Integridad del registro público (15%)
25

Datos utilizados: Investigadores que lo siguen aquí: 1 · Investigadores que abrieron esta página en los últimos 24 meses: 3

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Ediciones anteriores (+3,0) · Premios al mejor artículo (+2,3)
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Confianza 25 %: la parte de la puntuación respaldada por datos observados y no por la línea base neutra. Cómo se calcula esta puntuación · Ver la clasificación · Versión del algoritmo 1.1 · Calculado el 2026-09-19

Solicitud de Artículos

NCAA 2021 (International Conference on Neural Computing for Advanced Applications) is an academic conference held in Guangzhou, China on 2021-08-27. The paper submission deadline is 2021-04-05 (extended). Acceptance notifications are sent on 2021-05-16.

NCAA is an annual international neural computing conference, which showcases state-of-the-art R&D activities in neural computing systems and their industrial and engineering applications. It provides a forum for technical presentations and discussions among neural computing researchers, developers and users from academia, business and industry. The 2021 NCAA will be held in Guangzhou, China on July 2-5, 2021. China, a country which has a long history of 5000 years, is the perfect venue for addressing contemporary neural computing issues as new AI-related technical trends have been arising out of China’s top-notch IT infrastructure and cultural dynamicity. Guangzhou, also known as Canton and formerly romanized as Kwangchow, is the capital and most populous city of the province of Guangdong in southern China. On the Pearl River about 120 km (75 mi) north-northwest of Hong Kong and 145 km (90 mi) north of Macau, Guangzhou has a history of over 2,200 years and was a major terminus of the maritime Silk Road, and continues to serve as a major port and transportation hub, as well as one of China’s three largest cities. Due to a high urban population and large volumes of port traffic, Guangzhou is a Large-Port Megacity, the largest type of port-city in the world. For up-to-date information on NCAA2021, visit its homepage: https://dl2link.com/ncaa2021 For more information about Guangzhou, see https://dl2link.com/ncaa2021/travel/aboutGuangzhou TOPICS of interest are relevant to building practical systems are within its scope, including but not limited to: applicable neural networks theory applied statistics artificial intelligence computer vision control theory and systems data mining data security and privacy protection evolutionary computing fuzzy logic fault diagnosis hardware implementations hybrid intelligent systems image processing and understanding intelligent agents intelligent forecasting machine learning natural language processing neural networks neuro-fuzzy systems nn-based industrial applications pattern recognition self-learning systems software simulations supervised and unsupervised learning methods system engineering and integration
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