Ki 2018 Advances In Artificial Intelligence
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| Author | : Frank Trollmann |
| Publisher | : Springer |
| Total Pages | : 422 |
| Release | : 2018-09-17 |
| Genre | : Computers |
| ISBN | : 3030001113 |
This book constitutes the refereed proceedings of the 41st German Conference on Artificial Intelligence, KI 2018, held in Berlin, Germany, in September 2018. The 20 full and 14 short papers presented in this volume were carefully reviewed and selected from 65 submissions. The book also contains one keynote talk in full paper length. The papers were organized in topical sections named: reasoning; multi-agent systems; robotics; learning; planning; neural networks; search; belief revision; context aware systems; and cognitive approach.
| Author | : Stefan Edelkamp |
| Publisher | : Springer Nature |
| Total Pages | : 389 |
| Release | : 2021-09-29 |
| Genre | : Computers |
| ISBN | : 3030876268 |
This book constitutes the refereed proceedings of the 44th German Conference on Artificial Intelligence, KI 2021, held in September/October 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 full and 4 short papers with one extended abstract were carefully reviewed and selected from 59 submissions. As well-established annual conference series KI is dedicated to research on theory and applications across all methods and topic areas of AI research.
| Author | : Ute Schmid |
| Publisher | : Springer Nature |
| Total Pages | : 367 |
| Release | : 2020-09-08 |
| Genre | : Computers |
| ISBN | : 303058285X |
This book constitutes the refereed proceedings of the 43rd German Conference on Artificial Intelligence, KI 2020, held in Bamberg, Germany, in September 2020. The 16 full and 12 short papers presented together with 6 extended abstracts in this volume were carefully reviewed and selected from 62 submissions. As well-established annual conference series KI is dedicated to research on theory and applications across all methods and topic areas of AI research. KI 2020 had a special focus on human-centered AI with highlights on AI and education and explainable machine learning. Due to the Corona pandemic KI 2020 was held as a virtual event.
| Author | : Adam Bohr |
| Publisher | : Academic Press |
| Total Pages | : 385 |
| Release | : 2020-06-21 |
| Genre | : Computers |
| ISBN | : 0128184396 |
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
| Author | : Dietmar Seipel |
| Publisher | : Springer Nature |
| Total Pages | : 288 |
| Release | : 2023-09-17 |
| Genre | : Computers |
| ISBN | : 3031426088 |
This book constitutes the refereed proceedings of the 46th German Conference on Artificial Intelligence, KI 2023, which took place in Berlin, Germany, in September 2023.The 14 full and 5 short papers presented were carefully reviewed and selected from 78 submissions. The papers deal with research on theory and applications across all methods and topic areas of AI research.
| Author | : Kunal Pal |
| Publisher | : Elsevier |
| Total Pages | : 632 |
| Release | : 2024-05-21 |
| Genre | : Science |
| ISBN | : 0443153922 |
Artificial Intelligence in health care has become one of the best assisting techniques for clinicians in proper diagnosis and surgery. In biomedical applications, artificial intelligence algorithms are explored for bio-signals such as electrocardiogram (ECG/ EKG), electrooculogram (EOG), electromyogram (EMG), electroencephalogram (EEG), blood pressure, heart rate, nerve conduction, etc., and for bio-imaging modalities, such as Computed Tomography (CT), Cone-Beam Computed Tomography (CBCT), MRI (Magnetic Resonance Imaging), etc. Advancements in Artificial intelligence and big data has increased the development of innovative medical devices in health care applications. Recent Advances in Artificial Intelligence: Medical Applications provides an overview of artificial intelligence in biomedical applications including both bio-signals and bio-imaging modalities. The chapters contain a mathematical formulation of algorithms and their applications in biomedical field including case studies. Biomedical engineers, advanced students, and researchers can use this book to apply their knowledge in artificial intelligence-based processes to biological signals, implement mathematical models and advanced algorithms, as well as develop AI-based medical devices. - Covers the recent advancements of artificial intelligence in healthcare, including case studies on how this technology can be used - Provides an understanding of the design of experiments to validate the developed algorithms - Presents an understanding of the versatile application of artificial intelligence in bio-signal and bio-image processing techniques
| Author | : Agostino Dovier |
| Publisher | : Springer Nature |
| Total Pages | : 504 |
| Release | : 2023-03-10 |
| Genre | : Computers |
| ISBN | : 3031271815 |
This book constitutes the refereed proceedings of the XXIst International Conference of the Italian Association for Artificial Intelligence on AIxIA 2022 – Advances in Artificial Intelligence, which was held in Udine, Italy, during November 28–December 2, 2022. The 33 full papers and 1 invited paper presented in this volume were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: Hybrid Approaches; Graphs and Networks; Multiagent Systems; Automated Planning and Scheduling; AI Applications; Miscellany; Natural Language Processing; and Keynote talk.
| Author | : Brandon K. K. Fields |
| Publisher | : Frontiers Media SA |
| Total Pages | : 119 |
| Release | : 2024-11-07 |
| Genre | : Medical |
| ISBN | : 2832556418 |
Increasing interest in the development and validation of quantitative imaging biomarkers for oncologic imaging has in recent years inspired a surge in the field of artificial intelligence and machine learning. Initial results showed promise in identifying potential markers of treatment response, malignant potential, and prognostic predictors, among others; however, while many of these early algorithms showed the optimistic ability to separate pathologic states on “in-house” datasets, it was often the case that these classifiers generalized poorly on external validation sets and thus were of limited utility in the clinical setting. This issue was additionally compounded by the frequent use of data filtering and feature selection techniques in many studies to further bolster the machine learning results in limited case scenarios, thereby biasing the overall fit and further reducing generalizability.
| Author | : Mohammed Ali Alvi |
| Publisher | : Frontiers Media SA |
| Total Pages | : 138 |
| Release | : 2024-03-18 |
| Genre | : Science |
| ISBN | : 2832546455 |
| Author | : Subhendu Kumar Pani |
| Publisher | : CRC Press |
| Total Pages | : 279 |
| Release | : 2023-06-23 |
| Genre | : Education |
| ISBN | : 1000608808 |
With a need to find alternatives to the traditional face-to-face teaching and learning during the pandemic, this topical volume discusses the best use of technologies in higher education, addressing the growing role of AI in the digital transformation of higher education systems. With chapters from eminent professors, researchers, and others involved in higher education from a selection of different countries, the volume looks at blockchain and IoT technologies to create smart universities now and for the future.
