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Record Nr. |
UNINA9911054606703321 |
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Autore |
Pedrycz Witold |
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Titolo |
Advances in Information, Computing and Technology : Proceedings of the International Conference on Information, Computing and Technology (ICICT2025), Volume 1 / / edited by Witold Pedrycz, John Wang, Jianqi Li |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (700 pages) |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1734 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Engineering - Data processing |
Computational Intelligence |
Artificial Intelligence |
Data Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Research on Quantum State Monitoring Model for Automated Business Processing Combined with Computerization -- Analysis of Snow Brush Hair Movement Trajectory Based on MATLAB Simulation -- Performance Evaluation of Advanced Machine Learning Algorithms for Surface Defect Detection -- Studies on Signal Processing and Visual Computing Applications of Deep Learning. |
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Sommario/riassunto |
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This book delivers a practical, forward-looking guide to cutting-edge developments at the intersection of information science, computing, and technology, equipping readers to bridge theoretical advancements with real-world application. By prioritizing actionable insights over abstract theory, it addresses the gap between rapid tech evolution and the need for accessible, applicable knowledge for professionals and learners alike. Rather than organizing content by traditional subdisciplines, this book adopts an interdisciplinary, problem-centric approach This novelty ensures readers grasp how technologies interact to solve complex challenges, a perspective often missing in more siloed |
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texts. Intended for a broad audience, it serves as a go-to resource for tech professionals seeking to update their skills, upper-level undergraduate/graduate students in related fields, and researchers needing a concise overview of cross-domain progress. |
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