Suggested Topics within your search.
Suggested Topics within your search.
- Educational equipment & technology, computer-aided learning (CAL) 177
- Education 72
- Medicine 71
- History of engineering & technology 69
- Politics & government 67
- Technology: general issues 58
- Artificial intelligence 56
- Software Engineering 51
- Development studies 50
- History 44
- Higher & further education, tertiary education 42
- Humanities 42
- Research & information: general 38
- Media studies 36
- Biography & True Stories 34
- Teaching skills & techniques 34
- International relations 33
- Development economics & emerging economies 32
- Sociology 32
- Gender studies, gender groups 31
- Public health & preventive medicine 30
- Physics 27
- Impact of science & technology on society 26
- Regional studies 24
- Social & cultural anthropology, ethnography 24
- Biology, life sciences 22
- Computer science 22
- European history 21
- 20th century history: c 1900 to c 2000 20
- Economics 20
-
1521
-
1522
-
1523
-
1524
-
1525
-
1526
Interdisciplinarity in the Scholarly Life Cycle Learning by Example in Humanities and Social Science Research /
Published 2023Table of Contents: “…Freeing the Frog in the Well: Borrowing from History to Understand Contemporary Japanese Development Aid to Ethiopia -- 8. Examining Personal and Cultural Narratives of Aging: Literary Gerontology Revisited -- 9. …”
Link to Metadata
Electronic eBook -
1527
-
1528
-
1529
-
1530
-
1531
-
1532
-
1533
-
1534
-
1535
-
1536
-
1537
Machine Learning for Brain Disorders
Published 2023Table of Contents: “…A Non-Technical Introduction to Machine Learning -- Classic Machine Learning Methods -- Deep Learning: Basics and Convolutional Neural Networks (CNN) -- Recurrent Neural Networks (RNN) - Architectures, Training Tricks, and Introduction to Influential Research -- Generative Adversarial Networks and Other Generative Models -- Transformers and Visual Transformers -- Clinical Assessment of Brain Disorders -- Neuroimaging in Machine Learning for Brain Disorders -- Electroencephalography and Magnetoencephalography -- Working with Omics Data, An Interdisciplinary Challenge at the Crossroads of Biology and Computer Science -- Electronic Health Records as Source of Research Data -- Mobile Devices, Connected Objects, and Sensors -- Medical Image Segmentation using Deep Learning -- Image Registration: Fundamentals and Recent Advances Based on Deep Learning -- Computer-Aided Diagnosis and Prediction in Brain Disorders -- Subtyping Brain Diseases from Imaging Data -- Data-Driven Disease Progression Modelling -- Computational Pathology for Brain Disorders -- Integration of Multimodal Data -- Evaluating Machine Learning Models and their Diagnostic Value -- Reproducibility in Machine Learning for Medical Imaging -- Interpretability of Machine Learning Methods Applied to Neuroimaging -- A Regulatory Science Perspective on Performance Assessment of Machine Learning Algorithms in Imaging -- Main Existing Datasets for Open Brain Research on Humans -- Machine Learning for Alzheimer's Disease and Related Dementias -- Machine Learning for Parkinson's Disease and Related Disorders -- Machine Learning in Neuroimaging of Epilepsy -- Machine Learning in Multiple Sclerosis -- Machine Learning for Cerebrovascular Disorders -- The Role of Artificial Intelligence in Neuro-Oncology Imaging -- Machine Learning for Neurodevelopmental Disorders -- Machine Learning and BrainImaging for Psychiatric Disorders: New Perspectives.…”
Link to Metadata
Electronic eBook -
1538
Moonshots and the New Industrial Policy Questioning the Mission Economy /
Published 2024Table of Contents: “…You Can't Develop What You Don't Know: The Realities and Limitations of Foreign Aid Missions -- 12. A Public Choice Perspective on Mission-Oriented Innovation Policies and the Behavior of Government Agencies -- 13. …”
Link to Metadata
Electronic eBook -
1539
-
1540