This open access proceedings volume brings selected, peer-reviewed contributions presented at the Third Stochastic Transport in Upper Ocean Dynamics (STUOD) 2022 Workshop, held virtually and in person at the Imperial College London, UK, September 26–29, 2022. The STUOD project is supported by an ERC Synergy Grant, and led by Imperial College London, the National Institute for Research in Comp…
The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks. A cross-section of popular demand forecasting algorithms from statistics, machine learning and mathematics is presented, followed by extreme value theory techniques with examples. In order to achieve carbon targets, good forecasts of peaks…
Buku akses terbuka ini membahas pertanyaan-pertanyaan berikut: bagaimana polarisasi sebuah partikel, yaitu keadaan momentum sudut di mana ia diproduksi, mewujudkan dirinya di alam? Apa saja konsep dan alat yang diperlukan untuk melakukan pengukuran yang ketat memberikan informasi fisik yang lengkap dan tidak ambigu. Pengukuran polarisasi penting karena mereka mencerminkan sifat dan sifat pasang…
Selama lebih dari 10 tahun, dari tahun 1989 hingga 2000, akselerator LEP dan empat eksperimen LEP, ALEPH, DELPHI, L3, dan OPAL, telah mengambil data untuk sejumlah besar pengukuran di perbatasan fisika partikel. Hasil utamanya adalah pengujian yang menyeluruh dan sukses dari Model Standar interaksi electroweak. Massa dan lebar boson Z dan W diukur dengan tepat, begitu juga dengan kopling Z dan …
Dengan buku primer tingkat pascasarjana ini, prinsip-prinsip model standar fisika partikel menerima eksposisi khusus yang terampil, pribadi, dan abadi oleh salah satu kontributor hebat di bidang ini. Pada tahun 2013 almarhum Prof: Penemuan boson Higgs dan tidak teramatinya partikel-partikel baru atau fenomena eksotis telah membuat langkah besar untuk menyelesaikan konfirmasi eksperimental dari …
This open access book discusses the theory and methods of hypergraph computation. Many underlying relationships among data can be represented using graphs, for example in the areas including computer vision, molecular chemistry, molecular biology, etc. In the last decade, methods like graph-based learning and neural network methods have been developed to process such data, they are particula…
This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as…
This open Access book constitutes the refereed proceedings of the First International Workshop on AI in Drug Discovery, AIDD 2024, held as a part of the 33rd International Conference on Artificial Neural Networks, ICANN 2024, in Lugano, Switzerland, on September 19, 2024. The 12 papers presented here were carefully reviewed and selected for these open access proceedings. These papers focus o…
This Open Access book constitutes the refereed proceedings of the First International Workshop on Natural Scientific Language Processing and Research Knowledge Graphs, NSLP 2024, held in Hersonissos, Crete, Greece, on May 27, 2024. The 10 full papers and 11 short papers included in this volume were carefully reviewed and selected from a total of 26 submissions. The proceedings aims to bring …
This open access book constitutes the proceedings of the First International Conference on Robust Argumentation Machines, RATIO 2024, which took place in Bielefeld, Germany, during June 5-7, 2024. The 20 full papers and 1 short paper included in the proceedings were carefully reviewed and selected from 24 submissions. They were organized in topical sections as follows: Argument Mining; Deba…