2.035 hasil untuk machine learning
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Chapter Smart Factory, dignità del lavoratore ed intelligenza artificiale come forma di autoapprendimento
This article analyzes the impact of machine learning in the smart factory on the worker’s safety, freedom and dignity. First, the worker's enhancement is investigated starting from the evaluation of the psychological and moral impact of these devices. Therefore, cobots and automatic systems are…
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Climate Change Impacts and Adaptation
…Studies employ a range of methodologies including remote sensing, machine learning, statistical modeling, and participatory approaches to assess climate impacts and evaluate adaptive measures from local to global scales. The volume underscores the urgency of interdisciplinary collaboration in…
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Entropy Measures for Data Analysis: Theory, Algorithms and Applications
…along with the utilization of entropy measures as features in automatic learning and classification. Various real data applications are given.
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Ubiquitous Technologies for Emotion Recognition
Emotions play a very important role in how we think and behave. As such, the emotions we feel every day can compel us to act and influence the decisions and plans we make about our lives. Being able to measure, analyze, and better comprehend how or why our emotions may change is thus of much…
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Akustische Phonetik und ihre multidisziplinären Aspekte
Ziel dieses Buches ist es, die multidisziplinäre Arbeit von Doz. Dr. Sylvia Moosmüller (†) im Bereich der akustischen Phonetik zu würdigen. Die Aufsätze in diesem Band sind in der Soziophonetik, Sprachdiagnostik, Dialektologie und Sprachtechnologie angesiedelt. Sie stellen damit exemplarisch die…
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Perceptron
…the Perceptron. The Perceptron was the first widely publicized and used machine learning device and the origin of much contemporary neural network technology. Rosenblatt was a psychologist, a computer engineer, a musician, an amateur astronomer, a sailor, and a poet. The Perceptron was born from an…
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Emerging Trends in Energy Economics
…emerging and innovative methodological approaches from the areas of machine learning, artificial intelligence, econometrics, and statistics aimed to model, describe or forecast the energy markets at all levels. Additionally, the volume also presents a bibliographical review, summarizes and compares…
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Gefühle Vermessen
Seit Anfang der 2010er Jahre beschäftigt sich das Affective Computing mit der Entwicklung von digitalen Technologien zur automatischen Erfassung menschlicher Gefühle. Das sogenannte emotion detection operiert auf Grundlage des Facial Action Coding System (FACS), einem Klassifikationssystem für…
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5G Enabling Technologies and Wireless Networking
The ongoing deployment of 5G networks is a key enabler for realizing upcoming services at scale, including the massive deployment of the Internet of Things, providing communications to support autonomous vehicles, and supporting the realization of smart cities. However, as the limitations of…
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Advances in Medical Image Processing, Segmentation and Classification
…X-ray, and ultrasound scans. Artificial intelligence (AI), especially machine learning and deep learning, has further advanced CAD by enabling automated, accurate disease detection. Yet, the success of such models depends on large, annotated datasets and expertise in preprocessing, modeling, and…
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Digital Pathology
Digital pathology workflow implementation remains challenging. In laboratories worldwide, there are growing examples of successful implementation and pathologists acknowledging the advantages of this new model of practicing pathology. This Special Issue of Diagnostics is a collection of records of…
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Marine Drug Discovery through Computer-Aided Approaches
Computer-Aided Ligand- and Structure-based methodologies are an evolving field in the discovery of Marine Drugs. Computational approaches, chemistry simulation methods using bioinformatics and chemoinformatics tools and databases can be successfully used in the discovery, design and development of…
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Artificial Intelligence in Cancer Diagnosis and Therapy
…cancer diagnosis and therapy, in which Artificial Intelligence (AI) and Machine Learning are significant. This reprint is also a collection of forty different complex and challenging problems arranged in five groups: AI in prognosis, grading, and prediction, AI in clinical image analysis, AI models…
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Automated Suspicion Algorithms
Ist automatisierte Verdachtsgewinnung an der Schnittstelle von Privatsektor und Strafverfolgung die Zukunft der Verbrechensbekämpfung? Die Autorin untersucht das Spannungsverhältnis zwischen dem Einsatz von KI in der Strafverfolgung, der Wahrung von Betroffenenrechten sowie von rechtsstaatlichen…
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INTELLIGENT CYBER DEFENCE SYSTEMS: DETECTION OF RANSOMWARE AND PROTECTION OF WIRELESS NETWORKS BASED ON ARTIFICIAL INTELLIGENCE TECHNOLOGIES
…and countering ransomware viruses in real time using eBPF technology and machine learning models. An innovative model of an integrated data collection system is presented, combining monitoring of system calls, file and cryptographic activity with network traffic analysis. A comprehensive…
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Wearable computing applications in eHealth
Non-communicable diseases are the leading cause of death and disability worldwide. Almost two thirds of them are linked to the following risk factors: physical inactivity, unhealthy diets, tobacco use, and harmful use of alcohol. At the same time, everyone is surrounded increasingly with wearables…
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Human Activity Recognition in Daily Life and Sports Using Inertial Sensors
…this thesis, algorithms for HAR are introduced and evaluated which apply machine learning techniques to inertial sensor data. Daily as well as sport-specific activities are considered including sitting, washing dishes, climbing stairs, and kicking in soccer. Besides the development and…
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Kernel Methods and Hybrid Evolutionary Algorithms in Energy Forecasting
The development of kernel methods and hybrid evolutionary algorithms (HEAs) to support experts in energy forecasting is of great importance to improving the accuracy of the actions derived from an energy decision maker, and it is crucial that they are theoretically sound. In addition, more accurate…
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The Coevolution
Should digital technology be viewed as a new life form, sharing our ecosystem and coevolving with us?Are humans defining technology, or is technology defining humans? In this book, Edward Ashford Lee considers the case that we are less in control of the trajectory of technology than we think. It…
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ChatGPT und andere »Quatschmaschinen«
Die Veröffentlichung von ChatGPT im Herbst 2022 heizte die Kontroverse um Künstliche Intelligenz an und führte zu einer seitdem unaufhörlichen Fragelust - verstärkt dadurch, dass dieselben Prompts schon kürzeste Zeit später andere Outputs generieren. In einem experimentellen Format präsentieren die…
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