2.035 hasil untuk machine learning
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Artificial Intelligence for Medical Image Analysis of NeuroImaging Data
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from…
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Intelligent Systems for Genome Functional Annotations
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from…
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Development and Evaluation of Coded Aperture Reconstruction Methods for Intraoperative Gamma Cameras
Intraoperative Gamma Cameras are becoming increasingly common for radio-guided surgery. Coded Aperture Imaging has been proposed as a collimation technique, because it offers a better trade-off between sensitivity and spatial resolution, but requires image reconstruction. Therefore, a Convolutional…
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Projection-Based Clustering through Self-Organization and Swarm Intelligence: Combining Cluster Analysis with the Visualization of High-Dimensional Data
Cluster Analysis; Dimensionality Reduction; Swarm Intelligence; Visualization; Unsupervised Machine Learning; Data Science; Knowledge Discovery; 3D Printing; Self-Organization; Emergence; Game Theory; Advanced Analytics; High-Dimensional Data; Multivariate Data; Analysis of Structured Data
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Optimal Water Management and Sustainability in Irrigated Agriculture
As the global demand for food continues to rise, it is crucial to ensure that our agricultural practices are sustainable and efficient, especially when it comes to water management in irrigated agriculture. The sustainability of irrigated agriculture requires the efficient management of the…
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Sensors Fault Diagnosis Trends and Applications
Fault diagnosis has always been a concern for industry. In general, diagnosis in complex systems requires the acquisition of information from sensors and the processing and extracting of required features for the classification or identification of faults. Therefore, fault diagnosis of sensors is…
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Advanced Signal Processing in Wearable Sensors for Health Monitoring
…transformation and decomposition, feature extraction and, most recently, machine learning-based methods.
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Understanding and mitigating cyberfraud in Africa
The book covers the overview of cyberfraud and the associated global statistics. It demonstrates practicable techniques that financial institutions can employ to make effective decisions geared towards cyberfraud mitigation. Furthermore, the book contains some emerging technologies, such as…
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Multiscale Cohort Modeling of Atrial Electrophysiology
…for improving automated atrial fibrillation risk stratification with machine learning techniques and thus, reduces the risk of stroke in affected patients.
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Climate Changes and the Impacts on Power and Energy Systems
…electricity demand, buildings, power grids, and innovative solutions like machine learning, among others.
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Boosting
An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many…
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A Next-Generation of Biomonitoring to Detect Global Ecosystem Change
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from…
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LoRa Communication Technology for IoT Applications
…mobile scenarios or situations where devices are deployed in a wide area; Machine learning techniques for the configuration and management of LoRa-based communications; Novel physical layer design and optimization for LoRa; Novel link layer and network layer design and implementation for LoRa…
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Intelligent Computing for Big Data
Recent advances in artificial intelligence have the potential to further develop current big data research. The Special Issue on ‘Intelligent Computing for Big Data’ highlighted a number of recent studies related to the use of intelligent computing techniques in the processing of big data for text…
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AI Empowered Sentiment Analysis
…which is crucial for all industries. Recently, the development of deep learning and computing power have made it possible to handle complex data. However, there are still some including (but are not limited to): (1) How can we construct a multi-modal sentiment analysis framework? (2) How can we…
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Revealing Media Bias in News Articles
This open access book presents an interdisciplinary approach to reveal biases in English news articles reporting on a given political event. The approach named person-oriented framing analysis identifies the coverage’s different perspectives on the event by assessing how articles portray the…
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Foundation Models for Natural Language Processing
…problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models. After a brief introduction to basic NLP models the main pre-trained language models BERT…
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Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2023
This open access book presents a good overview of the current research landscape of assembly, handling and industrial robotics. The objective of MHI Colloquium is the successful networking at both academic and management levels. Thereby, the colloquium focuses an academic exchange at a high level…
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Wearable Sensors for Supporting Diagnosis, Prognosis, and Monitoring of Neurodegenerative Diseases
…articles that propose wearable solutions and explore signal processing, machine learning, and deep learning approaches for the computerized diagnosis and monitoring of NDs. Topics covered include using wearable technology to measure blood pressure, movement, sleep patterns, and brain activity, and…
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AI for Marine, Ocean and Climate Change Monitoring
…challenges, there is a growing interest in using advanced statistical, machine learning, and AI techniques to observe and model these ocean processes from space. This approach holds immense potential for identifying and predicting these intricate mechanisms, providing valuable insights into the…
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