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Applied Intelligence is a peer-reviewed journal that publishes original and innovative research on artificial intelligence and neural networks. It covers real and complex problems that require unconventional approaches and solutions.
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Applied Intelligence is a scholarly journal focused on...
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Volumes and issues - Home | Applied Intelligence - Springer
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Submission Guidelines - Home | Applied Intelligence -...
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The international journal of Applied Intelligence provides a...
- Volume 52, Issue 15
The International Journal of Research on Intelligent Systems...
- Volume 53, Issue 22
Volume 53, Issue 22 - Home | Applied Intelligence - Springer
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Author Service enquiries. For any general pre-submission...
- Volume 53, Issue 15
A novel automated robust dual-channel EEG-based sleep...
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Applied Intelligence is a peer-reviewed journal that publishes original research on intelligent systems for real life complex problems. Browse the latest articles on topics such as deep learning, optimization, computer vision, natural language processing, and more.
Applied Intelligence is a hybrid journal that publishes original research on intelligent systems for real life complex problems. Browse the volumes and issues to find articles on topics such as artificial intelligence, data science, COVID-19, and more.
Learn to navigate the technology-driven intelligence landscape with a degree from Georgetown University. Choose from four key sectors: homeland security, cyber intelligence, law enforcement, and competitive business intelligence.
With a focus on research in artificial intelligence and neural networks, this journal addresses issues involving solutions of real-life manufacturing, defense, management, government and industrial problems which are too complex to be solved through conventional approaches and require the simulation of intelligent thought processes, heuristics ...
Learn how Accenture combines AI, analytics and automation to solve complex problems for clients in any industry, function and sector. See examples of Applied Intelligence in action and how it creates value and impact.
Robust Fisher-regularized extreme learning machine with asymmetric Welsch-induced loss function for classification. Zhenxia Xue, Chongning Zhao, Shuqing Wei, Jun Ma, Shouhe Lin. July 2024pp 7352-7376 https://doi.org/10.1007/s10489-024-05528-5. research-article.
