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Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications. Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation systems. The book also provides extensive coverage of machine learning tricks, issues involved in handling various forms of data, model enhancements, and current challenges and methods for analysis and visualization. Summaries of the current research in the field make this a state-of-the-art textbook for undergraduate and graduate classes, as well as an essential reference for researchers and developers interested in other applications of neural methods in the broader field of human language processing.
The ninth edition of the Italian Conference on Computational Linguistics (CLiC-it 2023) was held from 30th November to 2nd December 2023 at Ca' Foscari University of Venice, in the beautiful venue of the Auditorium Santa Margherita - Emanuele Severino. After the edition of 2020, which was organized in fully virtual mode due to the health emergency related to Covid-19, and CLiC-it 2021, which was held in hybrid mode, with CLiC-it 2023 we are back to a fully in-presence conference. Overall, almost 210 participants registered to the conference, confirming that the community is eager to meet in person and to enjoy both the scientific and social events together with the colleagues.
Advanced Algorithms for Mineral and Hydrocarbon Exploration Using Synthetic Aperture Radar is a research- and practically-based reference that bridges the gap between the remote sensing industry and the mineral and hydrocarbon exploration industry. In this context, the book explains how to commercialize the applications of synthetic aperture radar and quantum interferometry synthetic aperture radar (QInSAR) for mineral and hydrocarbon exploration. This multidisciplinary reference is useful for oil and gas companies, the mining industry, geoscientists, and coastal and petroleum engineers. - Presents both theoretical and practical applications of various types of remote sensing for hydrocarbon and mineral exploration - Covers specific problems for exploration professionals and provides applications for solving each problem - Includes more than 100 images and figures to help explain the concepts and applications described in the book
The nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
This book provides practical and theoretical aspects for automotive antenna measurements. It comprehensively covers all the information you need to design, develop, place, and use antennas and antenna systems in automotive applications. Special chapters are devoted to some of the most advanced topics in this area, including OTA measurements for Vehicle to Everything (V2X) applications, emulation of virtual drive testing, and specific topics for measurements of automotive RADAR systems. You will understand the various measurement techniques specifically for automotive antennas, including chamber design, absorbers, near-to-far field transformation, and some of the newest techniques such as the use of drones. The book presents both well accepted and standard practices and includes innovative methods that help you quickly adapt to the rapidly evolving field of automotive antenna testing today. This is an excellent reference for antenna engineers, automotive system designers, and anyone who measures and designs antennas for automotive applications.
This book showcases the state of the art in the field of electronics, as presented by researchers and engineers at the 54th Annual Meeting of the Italian Electronics Society (SIE), held in Noto (SR), Italy, on September 6–8, 2023. It covers a broad range of aspects, including: integrated circuits and systems, micro- and nano-electronic devices, microwave electronics, sensors and microsystems, optoelectronics and photonics, power electronics, electronic systems and applications.
This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019. The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named: Part I: best ranked papers; machine learning; pattern recognition; image processing and representation. Part II: biometrics; handwriting and document analysis; other applications.
The three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019. The 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The third volume, LNCS 11955, is organized in topical sections on semantic and graph based approaches; spiking neuron and related models; text computing using neural techniques; time-series and related models; and unsupervised neural models.
This volume LNCS 14163 constitutes the refereed proceedings of 14th International Conference of the CLEF Association, CLEF 2023, in Thessaloniki, Greece, during September 18–21, 2023. The 10 full papers and one short paper included in this book were carefully reviewed and selected from 35 submissions. The conference focuses on authorship attribution, fake news detection and news tracking, noise-detection in automatically transferred relevance judgments, impact of online education on children’s conversational search behavior, analysis of multi-modal social media content, knowledge graphs for sensitivity identification, a fusion of deep learning and logic rules for sentiment analysis, medical concept normalization and domain-specific information extraction. In addition to this, the volume presents 7 “Best of the labs” papers which were reviewed as full paper submissions with the same review criteria. 13 lab overview papers were accepted and represent scientific challenges based on new datasets and real world problems in multimodal and multilingual information access.