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Journal Photo for Advances in Intelligent and Soft Computing
Peer reviewed only Open Access

Advances in Intelligent and Soft Computing (AISC)

Publisher : Springer Nature
Artificial Intelligence (AI) Soft Computing techniques Fuzzy logic systems
e-ISSN 1867-5670
p-ISSN 1867-5662
Issue Frequency Continuously
Est. Year 2009
Mobile 4962214870
DOI YES
Language English
APC YES
Email kacprzyk@ibspan.waw.pl

Journal Descriptions

Advances in Intelligent and Soft Computing (AISC) is a Springer book series that publishes high-quality research in the fields of artificial intelligence and soft computing. Launched in 2009, the series serves as a platform for disseminating recent developments in computational intelligence, including fuzzy logic, neural networks, evolutionary algorithms, probabilistic reasoning, and hybrid intelligent systems. Unlike traditional journals, AISC primarily consists of edited volumes and conference proceedings, which compile selected peer-reviewed papers from international conferences, workshops, and symposiums. This structure allows for rapid dissemination of emerging research trends in intelligent computing and related disciplines. The series covers both theoretical foundations and practical applications of soft computing techniques in areas such as data analysis, pattern recognition, optimization, intelligent control systems, robotics, and decision-making systems. It is widely used by researchers in computer science, engineering, and applied mathematics. AISC volumes are indexed in major scientific databases such as Scopus and are widely cited in the field of computational intelligence. Over the years, it has contributed significantly to advancing research in AI-driven systems and adaptive computing models. Its interdisciplinary nature makes it a valuable resource for researchers working on intelligent systems and real-world AI applications.

Advances in Intelligent and Soft Computing (AISC) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Artificial Intelligence (AI), Soft Computing techniques, Fuzzy logic systems, Neural networks, Evolutionary computation, Genetic algorithms, Machine learning methods, Probabilistic reasoning, Hybrid intelligent systems, Data mining and optimization, Intelligent control systems, fuzzy logic, neural networks, evolutionary algorithms, probabilistic reasoning, hybrid intelligent systems , Online or Print , Continuously Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1867-5662, E-ISSN: 1867-5670, Established: 2009,
  • Provides Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE