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Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from ADCIS 2022, Volume 1 (Lecture Notes in Networks and Systems #698)
by Swagatam Das Jagdish Chand Bansal Carlos A. Coello Coello Snehanshu SahaThe volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.
Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from ADCIS 2023, Volume 1 (Lecture Notes in Networks and Systems #891)
by Swagatam Das Carlos A. Coello Coello Jagdish C. Bansal Snehanshu SahaThis book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K K Birla Goa Campus, Goa, India, during September 21–23, 2023. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.
Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from ADCIS 2023, Volume 2 (Lecture Notes in Networks and Systems #892)
by Swagatam Das Carlos A. Coello Coello Jagdish C. Bansal Snehanshu SahaThis book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K. K. Birla Goa Campus, Goa, India, during September 21–23, 2023. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.
Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from ADCIS 2023, Volume 3 (Lecture Notes in Networks and Systems #893)
by Swagatam Das Carlos A. Coello Coello Jagdish C. Bansal Snehanshu SahaThis book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K. K. Birla Goa Campus, Goa, India, during September 21–23, 2023. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.
Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from ADCIS 2023, Volume 4 (Lecture Notes in Networks and Systems #890)
by Swagatam Das Jagdish Chand Bansal Carlos A. Coello Coello Snehanshu Saha Hemant RathoreThe volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 21 – 23 September 2023. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.
Advances in Data-driven Computing and Intelligent Systems: Selected Papers from ADCIS 2022, Volume 2 (Lecture Notes in Networks and Systems #653)
by Swagatam Das Jagdish Chand Bansal Carlos A. Coello Coello Snehanshu SahaThe volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.
Advances in Databases and Information Systems: 19th East European Conference, ADBIS 2015, Poitiers, France, September 8-11, 2015, Proceedings (Lecture Notes in Computer Science #9282)
by Ladjel Bellatreche Morzy Tadeusz Patrick ValduriezThis book constitutes the thoroughly refereed proceedings of the 19th East European Conference on Advances in Databases and Information Systems, ADBIS 2015, held in Poitiers, France, in September 2015. The 31 full papers and 18 short papers presented were carefully selected and reviewed from 135 submissions. The papers are organized in topical sections such as database theory and access methods; user requirements and database evolution; multidimensional modeling and OLAP; ETL; transformation, extraction and archiving; modeling and ontologies; time series processing; performance and tuning; advanced query processing; approximation and skyline; confidentiality and trust.
Advances in Databases and Information Systems: 20th East European Conference, ADBIS 2016, Prague, Czech Republic, August 28-31, 2016, Proceedings (Lecture Notes in Computer Science #9809)
by Jaroslav Pokorný Mirjana Ivanović Bernhard Thalheim Petr ŠalounThis volume contains the best papers presented at the 14th East-European C- ference on Advances in Databases and Information Systems (ADBIS 2010), held during September 20-24, 2010, in Novi Sad, Serbia. ADBIS 2010 continued the ADBIS series held in St. Petersburg (1997), Poznan (1998), Maribor (1999), Prague (2000), Vilnius (2001), Bratislava (2002), Dresden (2003), Budapest (2004), Tallinn (2005), Thessaloniki (2006), Varna (2007), Pori (2008), and Riga (2009). The main objective of the ADBIS series of conferences is to provide a forum for the dissemination of research acc- plishments and to promote interaction and collaboration between the database and information systems research communities from Central and East European countries and the rest of the world. The ADBIS conferences provide an inter- tional platform for the presentation of research on database theory, development of advanced DBMS technologies, and their advanced applications. ADBIS 2010 spans a wide area of interests, covering all major aspects related to theory and applications of database technology and information systems. Two di?erent submission lines were considered for ADBIS 2010, one within the classic track and another one within a special track organisation. ADBIS comprised ?ve tracks: 1. Conceptual Modeling in Systems Engineering (CMSE) 2. Data Mining and Information Extraction (DMIE) 3. Business Processes in E-Commerce Systems (e-commerce) 4. Personal Identi?able Information: Privacy, Ethics, and Security (PIIPES) 5.
Advances in Databases and Information Systems: 21st European Conference, ADBIS 2017, Nicosia, Cyprus, September 24-27, 2017, Proceedings (Lecture Notes in Computer Science #10509)
by Mārīte Kirikova, Kjetil Nørvåg and George A. PapadopoulosThis book constitutes the proceedings of the 21st European Conference on Advances in Databases and Information Systems, ADBIS 2017, held in Nicosia, Cyprus, in September 2017.The 26 regular papers presented together with one keynote paper and one keynote abstract were carefully selected and reviewed from numerous submissions. The papers are organized in topical sections such as conceptual modeling and human factors; subsequence matching and streaming data; OLAP; graph databases; spatial data management; parallel and distributed data processing; query optimization, recovery, and databases on modern hardware; semantic data processing; and additional database and information systems topics.
Advances in Databases and Information Systems: 22nd European Conference, ADBIS 2018, Budapest, Hungary, September 2–5, 2018, Proceedings (Lecture Notes in Computer Science #11019)
by Bernhard Thalheim András Benczúr Tomáš HorváthThis book constitutes the proceedings of the 22nd European Conference on Advances in Databases and Information Systems, ADBIS 2018, held in Budapest, Hungary, in September 2018.The 17 regular papers presented together with two invited papers were carefully selected and reviewed from numerous submissions. The papers are organized in topical sections such as information extraction and integration; data mining and knowledge discovery; indexing, query processing and optimization; data quality and data cleansing; distributed data platforms, including cloud data systems, key-value stores, and big data systems; and streaming data analysis; web, XML and semi-structured databases.
Advances in Databases and Information Systems: 23rd European Conference, ADBIS 2019, Bled, Slovenia, September 8–11, 2019, Proceedings (Lecture Notes in Computer Science #11695)
by Tatjana Welzer Johann Eder Vili Podgorelec Aida Kamišalić LatifićThis book constitutes the proceedings of the 23rd European Conference on Advances in Databases and Information Systems, ADBIS 2019, held in Bled, Slovenia, in September 2019.The 27 full papers presented were carefully reviewed and selected from 103 submissions. The papers cover a wide range of topics from different areas of research in database and information systems technologies and their advanced applications from theoretical foundations to optimizing index structures. They focus on data mining and machine learning, data warehouses and big data technologies, semantic data processing, and data modeling. They are organized in the following topical sections: data mining; machine learning; document and text databases; big data; novel applications; ontologies and knowledge management; process mining and stream processing; data quality; optimization; theoretical foundation and new requirements; and data warehouses.
Advances in Databases and Information Systems: 24th European Conference, ADBIS 2020, Lyon, France, August 25–27, 2020, Proceedings (Lecture Notes in Computer Science #12245)
by Robert Wrembel Jérôme Darmont Boris NovikovThis book constitutes the proceedings of the 24th European Conference on Advances in Databases and Information Systems, ADBIS 2020, held in Lyon, France, in August 2020.* The 13 full papers presented were carefully reviewed and selected from 82 submissions. The papers cover a wide range of topics from different areas of research in database and information systems technologies and their advanced applications from theoretical foundations to optimizing index structures. They are organized in the following topical sections: keynote extended abstracts; data access and database performance; machine learning; semantic web; data processing; and data analytics. * The conference was held virtually due to the COVID-19 pandemic.
Advances in Databases and Information Systems: 25th European Conference, ADBIS 2021, Tartu, Estonia, August 24–26, 2021, Proceedings (Lecture Notes in Computer Science #12843)
by Ladjel Bellatreche Raimundas Matulevičius Marlon Dumas Panagiotis KarrasThis book constitutes the proceedings of the 25th European Conference on Advances in Databases and Information Systems, ADBIS 2021, held in Tartu, Estonia, in August 2021. The 18 full papers presented together with 3 keynotes were carefully reviewed and selected from 70 submissions. The selected papers span a wide spectrum of topics in databases and related technologies, tackling challenging problems and presenting inventive and efficient solutions. They are organized in 5 sessions: patterns and events, social media and text mining, indexes, queries and constraints, high-dimensional data and data streams, and data integration.
Advances in Databases and Information Systems: 26th European Conference, ADBIS 2022, Turin, Italy, September 5–8, 2022, Proceedings (Lecture Notes in Computer Science #13389)
by Tania Cerquitelli Robert Wrembel Silvia ChiusanoThis book constitutes the proceedings of the 26th European Conference on Advances in Databases and Information Systems, ADBIS 2022, held in Turin, Italy, in September 2022.The 23 full papers presented together with 5 keynote and tutorial papers were carefully reviewed and selected from 90 submissions. The papers are organized in the following topical sections: keynote talk and tutorials; graph processing; time series and data streams; on line analytical processing; advanced querying; performance; machine learning; data science methods.
Advances in Databases and Information Systems: 27th European Conference, ADBIS 2023, Barcelona, Spain, September 4–7, 2023, Proceedings (Lecture Notes in Computer Science #13985)
by Alberto Abelló Robert Wrembel Oscar Romero Panos VassiliadisThis book constitutes the proceedings of the 27th European Conference on Advances in Databases and Information Systems, ADBIS 2023, held in Barcelona, Spain, during September 4–7, 2023. The 11 full papers presented in this book together with 3 keynotes and tutorials were carefully reviewed and selected from 77 submissions. The papers are organized in the following topical sections: keynote talk and tutorials; query processing and data exploration, data science and fairness and Data and Metadata Quality
Advances in Databases and Information Systems: 28th European Conference, ADBIS 2024, Bayonne, France, August 28–31, 2024, Proceedings (Lecture Notes in Computer Science #14918)
by Richard Chbeir Yannis Manolopoulos Johann Gamper Joe TekliThis volume LNCS 14918 constitutes the refereed proceedings of 28th European Conference, ADBIS 2024, held in Bayonne, France, during August 28-31, 2024. The 15 full papers presented were carefully reviewed and selected from 43 submissions. The conference focuses on Algebra, Models, Schemata, Discovery and Data Analysis, Algorithms and Optimization, Access Methods and Query Processing, Advanced Architectures, Machine Learning, Large Language Models.
Advances in Debris-flow Science and Practice (Geoenvironmental Disaster Reduction)
by Matthias Jakob Scott McDougall Paul SantiThis book provides a summary of the state of the art of all facets of debris-flow science and practice and is designed to be a comprehensive technical reference for practitioners and a state-of-the-art research overview for scientists. It is richly illustrated with equations, graphs, photos, and tables. The book allows students, practitioners, and regulators to get a sense of the current state of the art in this science. Currently, there are 2 to 3 papers published every week on some aspects of debris-flow science. This creates a bewildering amount of literature that cannot be captured by a single individual. This book provides a comprehensive overview of all facets to date, including initial hazard assessments, detailed quantitative risk assessments, debris-flow warning systems, debris-flow mitigation structure designs, and failures of mitigation works, as well as new topics such as climate change effects on debris flows.
Advances in Decision Science and Management: Proceedings of Third International Conference on Decision Science and Management (ICDSM 2021) (Advances in Intelligent Systems and Computing #1391)
by Madjid Tavana Srikanta Patnaik Andrew W. H. Ip Taosheng WangThis book discusses an emerging area in computer science, IT, and management, i.e., decision sciences and management. It includes studies that employ various computing techniques like machine learning to generate insights from huge amounts of available data; and which explore decision making for cross-platforms that contain heterogeneous data associated with complex assets; leadership; and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the Third International Conference on Decision Science and Management 2021 (ICDSM 2021), held at Hang Seng University of Hong Kong in China.
Advances in Decision Sciences, Image Processing, Security and Computer Vision: International Conference on Emerging Trends in Engineering (ICETE), Vol. 1 (Learning and Analytics in Intelligent Systems #3)
by Margarita N. Favorskaya Suresh Chandra Satapathy K. Srujan Raju K. Shyamala D. Rama KrishnaThis book constitutes the proceedings of the First International Conference on Emerging Trends in Engineering (ICETE), held at University College of Engineering and organised by the Alumni Association, University College of Engineering, Osmania University, in Hyderabad, India on 22–23 March 2019.The proceedings of the ICETE are published in three volumes, covering seven areas: Biomedical, Civil, Computer Science, Electrical & Electronics, Electronics & Communication, Mechanical, and Mining Engineering. The 215 peer-reviewed papers from around the globe present the latest state-of-the-art research, and are useful to postgraduate students, researchers, academics and industry engineers working in the respective fields. Volume 1 presents papers on the theme “Advances in Decision Sciences, Image Processing, Security and Computer Vision – International Conference on Emerging Trends in Engineering (ICETE)”. It includes state-of-the-art technical contributions in the area of biomedical and computer science engineering, discussing sustainable developments in the field, such as instrumentation and innovation, signal and image processing, Internet of Things, cryptography and network security, data mining and machine learning.
Advances in Decision Sciences, Image Processing, Security and Computer Vision: International Conference on Emerging Trends in Engineering (ICETE), Vol. 2 (Learning and Analytics in Intelligent Systems #4)
by Margarita N. Favorskaya Suresh Chandra Satapathy K. Srujan Raju K. Shyamala D. Rama KrishnaThis book constitutes the proceedings of the First International Conference on Emerging Trends in Engineering (ICETE), held at University College of Engineering and organised by the Alumni Association, University College of Engineering, Osmania University, in Hyderabad, India on 22–23 March 2019. The proceedings of the ICETE are published in three volumes, covering seven areas: Biomedical, Civil, Computer Science, Electrical & Electronics, Electronics & Communication, Mechanical, and Mining Engineering. The 215 peer-reviewed papers from around the globe present the latest state-of-the-art research, and are useful to postgraduate students, researchers, academics and industry engineers working in the respective fields. Volume 2 presents papers on the theme “Advances in Decision Sciences, Image Processing, Security and Computer Vision – International Conference on Emerging Trends in Engineering (ICETE)”. It includes state-of-the-art technical contributions in the areas of electronics and communication engineering and electrical and electronics engineering, discussing the latest sustainable developments in fields such as signal processing and communications; GNSS and VLSI; microwaves and antennas; signal, speech and image processing; power systems; and power electronics.
Advances in Deep Foundations: International Workshop on Recent Advances of Deep Foundations (IWDPF07) 1-2 February 2007, Port and Airport Research Institute, Yokosuka, Japan
by Jun Otani Yoshiaki Kikuchi Makoto KimuraCivil Engineering has recently seen enormous progress in the core field of the construction of deep foundations. This book is the result of the International Workshop on Recent Advances in Deep Foundations (IWDPF07), which was held in Yokosuka, Japan from the 1st to the 2nd of February, 2007. Topics under discussion in this book include recent rese
Advances in Deep Generative Models for Medical Artificial Intelligence (Studies in Computational Intelligence #1124)
by Mubashir Husain Rehmani Hazrat Ali Zubair ShahGenerative Artificial Intelligence is rapidly advancing with many state-of-the-art performances on computer vision, speech processing, and natural language processing tasks. Generative adversarial networks and neural diffusion models can generate high-quality synthetic images of human faces, artworks, and coherent essays on different topics. Generative models are also transforming Medical Artificial Intelligence, given their potential to learn complex features from medical imaging and healthcare data. Hence, computer-aided diagnosis and healthcare are benefiting from Medical Artificial Intelligence and Generative Artificial Intelligence. This book presents the recent advances in generative models for Medical Artificial Intelligence. It covers many applications of generative models for medical image data, including volumetric medical image segmentation, data augmentation, MRI reconstruction, and modeling of spatiotemporal medical data. This book highlights the recent advancements in Generative Artificial Intelligence for medical and healthcare applications, using medical imaging and clinical and electronic health records data. Furthermore, the book comprehensively presents the concepts and applications of deep learning-based artificial intelligence methods, such as generative adversarial networks, convolutional neural networks, and vision transformers. It also presents a quantitative and qualitative analysis of data augmentation and synthesis performances of Generative Artificial Intelligence models. This book is the result of the collaborative efforts and hard work of many minds who contributed to it and illuminated the vast landscape of Medical Artificial Intelligence. The book is suitable for reading by computer science researchers, medical professionals, healthcare informatics, and medical imaging researchers interested in understanding the potential of artificial intelligence in healthcare. It serves as a compass for navigating the artificial intelligence-driven healthcare landscape.
Advances in Deep Learning (Studies in Big Data #57)
by M. Arif Wani Farooq Ahmad Bhat Saduf Afzal Asif Iqbal KhanThis book introduces readers to both basic and advanced concepts in deep network models. It covers state-of-the-art deep architectures that many researchers are currently using to overcome the limitations of the traditional artificial neural networks. Various deep architecture models and their components are discussed in detail, and subsequently illustrated by algorithms and selected applications. In addition, the book explains in detail the transfer learning approach for faster training of deep models; the approach is also demonstrated on large volumes of fingerprint and face image datasets. In closing, it discusses the unique set of problems and challenges associated with these models.
Advances in Deep Learning for Medical Image Analysis
by Archana MireThis reference text introduces the classical probabilistic model, deep learning, and big data techniques for improving medical imaging and detecting various diseases. The text addresses a wide variety of application areas in medical imaging where deep learning techniques provide solutions with lesser human intervention and reduced time. It comprehensively covers important machine learning for signal analysis, deep learning techniques for cancer detection, diabetic cases, skin image analysis, Alzheimer’s disease detection, coronary disease detection, medical image forensic, fetal anomaly detection, and plant phytology. The text will serve as a useful text for graduate students and academic researchers in the fields of electronics engineering, computer science, biomedical engineering, and electrical engineering.
Advances in Deep Learning, Artificial Intelligence and Robotics: Proceedings of the 2nd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2020 (Lecture Notes in Networks and Systems #249)
by Alfredo Vaccaro Roberto Tagliaferri Luigi Troiano Nishtha Kesswani Irene Díaz Rodriguez Imene Brigui Domenico ParenteThis book of Advances in Deep Learning, Artificial Intelligence and Robotics (proceedings of ICDLAIR 2020) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of modern artificial intelligence and robotics. Deep Learning, AI and robotics represent key ingredients for the 4th Industrial Revolution. Their extensive application is dramatically changing products and services, with a large impact on labour, economy and society at all. The research and reports of new technologies and applications in DL, AI and robotics like biometric recognition systems, medical diagnosis, industries, telecommunications, AI petri nets model-based diagnosis, gaming, stock trading, intelligent aerospace systems, robot control and web intelligence aim to bridge the gap between these non-coherent disciplines of knowledge and fosters unified development in next-generation computational models for machine intelligence.