The coupling of an electron to an electromagnetic field is usually described by U(1) gauge fields in the Hamiltonian, whose gradient and curvature yield the electric and magnetic fields, respectively. We apply this ga...
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We report 24-30 nm spherical barium ferrite (S-BaFe) particles having extremely narrow size distribution without any superparamagnetic phase. We have converted spherical magnetite (S-Mag) nanoparticles to S-BaFe nanop...
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This third edition presents an expanded and updated treatment of convex analysis methods, incorporating many new results that have emerged in recent years. These additions are essential for grasping the practical appl...
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ISBN:
(数字)9783031719677
ISBN:
(纸本)9783031719660;9783031719691
This third edition presents an expanded and updated treatment of convex analysis methods, incorporating many new results that have emerged in recent years. These additions are essential for grasping the practical applications of convex function theory in solving contemporary real-world problems.
To reflect these advancements, the material has been meticulously reorganized, with a greater emphasis on topics relevant to current research. Additionally, great care has been taken to ensure that the text remains accessible to a broad audience, including both students and researchers focused on the application of mathematics.
Ideal for undergraduate courses, graduate seminars, or as a comprehensive reference, this book is an indispensable resource for those seeking to understand the extensive potential of convex function theory.
The two-volume set LNAI 7267 and 7268 (together with LNCS 7269 ) constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, ...
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ISBN:
(数字)9783642293504
ISBN:
(纸本)9783642293498
The two-volume set LNAI 7267 and 7268 (together with LNCS 7269 ) constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, Poland in April/ May 2012.
The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The papers are organized in topical sections on neural networks and their applications, computer vision, image and speech analysis, data mining, hardware implementation, bioinformatics, biometrics and medical applications, concurrent parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation, various problems od artificial intelligence.
This year, Brazil celebrates its 500 years of discovery. To mark this great event, the Brazilian Arti cial Intelligence (AI) community organized a special int- national joint conference putting together SBIA 2000 (the...
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ISBN:
(数字)9783540443995
ISBN:
(纸本)9783540412762
This year, Brazil celebrates its 500 years of discovery. To mark this great event, the Brazilian Arti cial Intelligence (AI) community organized a special int- national joint conference putting together SBIA 2000 (the Brazilian AI Sym- sium) and IBERAMIA 2000 (the Ibero-American AI Conference). SBIA 2000 is the 15th conference of the SBIA conference series, which is the leading conference in Brazil for presentation of research and applications in Arti cial Intelligence. Since 1995, SBIA has become an international conference, with papers written in English, an international program committee, and p- ceedings published in Springer-Verlag’s Lecture Notes in Arti cial Intelligence (LNAI) series. IBERAMIA 2000 is the 7th conference of the IBERAMIA conference series, which has been one of the most suitable forums for ibero-american AI rese- chers (from South and Central America, Mexico, Spain, and Portugal) to present their results. Following the SBIA and EPIA (Portuguese conference on AI) ex- riences, from IBERAMIA’98 on, it has also become an international conference, with proceedings published in Springer-Verlag’s LNAI series.
Single-cell RNA sequencing (scRNA-seq) has provided a high-dimensional catalog of millions of cells across species and diseases. These data have spurred the development of hundreds of computational tools to derive nov...
Single-cell RNA sequencing (scRNA-seq) has provided a high-dimensional catalog of millions of cells across species and diseases. These data have spurred the development of hundreds of computational tools to derive novel biological insights. Here, we outline the components of scRNA-seq analytical pipelines and the computational methods that underlie these steps. We describe available methods, highlight well-executed benchmarking studies, and identify opportunities for additional benchmarking studies and computational methods. As the biochemical approaches for single-cell omics advance, we propose coupled development of robust analytical pipelines suited for the challenges that new data present and principled selection of analytical methods that are suited for the biological questions to be addressed.
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