2.035 hasil untuk machine learning
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Thinking with AI
…of study, the essays explore how concepts from artificial intelligence, machine learning, and data science can provide ways to rethink core humanistic questions of meaning, representation, and culture. Critical AI Studies typically focuses on AI’s societal implications—its role in surveillance…
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Resourceful ageing
…describes an award-winning project that combined design experimentation, machine learning, and ethnographic fieldwork to create and prototype designs that could support older people in everyday practices of resourcefulness. The results offer the reader a categorized set of strategies for supporting…
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Managing Cybersecurity Threats and Increasing Organizational Resilience
Cybersecurity attacks are increasing in sophistication and intensity and are known to have a disruptive effect on organizations and society. This reprint contains a range of papers that address various issues relating to the problem, and insights are provided into how cybersecurity awareness can be…
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Special Protein Molecules Computational Identification
It is time consuming and costly to detect new molecules of some special proteins. These special proteins include cytokines, enzymes, cell-penetrating peptides, anticancer peptides, cancer lectins, G-protein-coupled receptors, etc. Researchers often employ computer programs to list some candidates…
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Deep Fusion of Camera and LIDAR
Fusing camera and LIDAR data in autonomous driving poses challenges such as accurate calibration, differing data representations, and extensive training data requirements. This dissertation addresses these by three contributions: a deep neural network for LIDAR-to-camera calibration, two depth…
Juga tersedia di: DOAB
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Regularized System Identification
This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine…
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Infections and Sepsis Development
Infection is a common clinical condition that may cause local inflammation but, in some cases, can lead to systemic inflammation, with sepsis and organ dysfunction. Septic shock is a condition of inadequate tissue perfusion and cellular use of oxygen due to the cytotoxic action of bacterial toxins…
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Advances in Explainable Artificial Intelligence
Machine Learning (ML)-based Artificial Intelligence (AI) algorithms have the capability to learn from known examples, creating various abstract representations and models. When applied to unfamiliar examples, these algorithms can perform a range of tasks, including classification, regression, and…
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Scheduling Theory and Algorithms for Sustainable Manufacturing
This reprint of a Special Issue of Algorithms presents recent research on the applications of planning and scheduling models and algorithms to production systems and logistics, with the objective to increase production systems' sustainability. In the eleven research papers, several advanced models…
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Breast Imaging
This book watches out for the issues on making moves for chest radiology in carcinoma of the chest. It focuses on all parts of radiological approaches to manage the breast illness, be it light (optical), sound (ultrasound), interest, microwave, electrical impedance, blend of these modalities, and a…
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Applications of Mobile Robots
…systems, artificial intelligence algorithms, which include deep learning applications, systems where a Kalman filter estimator is extended for visual odometry, and finally the design of an on-chip system for the execution of cognitive agents. Additionally, the development of different ideas in…
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Personalised body counter calibration using anthropometric parameters
This book describes the development of a new method for personalisation of efficiency factors in partial body counting. Its achieved goal is the quantification of uncertainties in those factors due to variation in anatomy of the measured persons, and their reduction by correlation with…
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Adaptive Robust Control Systems
…H-infinity, model-predictive control, fuzzy logic, neural networks, machine learning, and so on. The control objects are very abundant, from cranes, aircrafts, and wind turbines to automobile, medical and sport machines, combustion engines, and electrical machines.
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Current Progress and Future Directions of Spine Surgery
…The Reprint categorizes articles by subject in the following order: 1) machine learning and artificial intelligence; 2) recent advancements in deformity surgery; 3) osteo-biology; and 4) minimally invasive surgery.
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Optimales Energiemanagement mild elektrifizierter Antriebe unter realen Betriebsbedingungen mittels Prädiktionsalgorithmen aus dem Bereich des Maschinellen Lernens
This study explores energy management for hybrid electric vehicles. It analyzes strategies for system design and vehicle implementation. Focus is on ECMS, DP, and PMP. Predictive energy management and data-driven methods like Markov Chains, FFNN, and RNN are discussed. Online-ECMS shows significant…
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Radiotherapy
Radiotherapy plays a key role in the treatment of many cancer types. This book is intended to bring forward the recent advancements in the field of radiation oncology. It presents the experience of several researchers who dedicate many hours a day to not only treat patients but also assess the…
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Extracorporeal Membrane Oxygenation Support Therapy
Extracorporeal membrane oxygenation (ECMO) is very quickly becoming a mainstream therapy for patients experiencing acute, severe, and often medically refractory cardiopulmonary failure. Over the years, the technology has improved and the guidelines, protocols, and indications for therapy have been…
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Probabilistische Vorhersage von Fahrstreifenwechseln für hochautomatisiertes Fahren auf Autobahnen
A concept for time-related forecasts of lane change maneuvers in highway scenarios is presented within the present work. Automated driving systems rely on understanding the driving environment to fulfill their driving task transparently and safely. This involves the perception of the driving…
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Generative AI and Its Transformative Potential
…models are reshaping content creation, product design, and human–machine interaction. Leading experts offer insights into generative AI architectures, domain-specific applications, and practical implementations across multiple fields. The papers are organized into three thematic clusters…
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