Nach 60 Jahren Entwicklung von Biofeedback für Gehirnwellen, grundlegender und angewandter Forschung, Therapie und dem Bau verschiedener Geräte gibt es eine gut definierte Reihe von Anwendungen sowohl in Gesundheit als auch in Krankheit. Während …

Elektroenzephalographie-Signale (EEG-Signale) werden weit verbreitet für die Prognose und Diagnose mehrerer Störungen verwendet, wie zum Beispiel Epilepsie, Schizophrenie, Parkinson-Krankheit usw. Es wurde in der Literatur gezeigt, dass …

Die Trennung von Artificial Intelligence, Machine Learning und Deep Learning als unabhängige Techniken ist eine Voraussetzung für das Data Management. Die Geschichte der künstlichen Intelligenz ist wichtig, um sie in Bezug auf das Data Management …

Im Bausektor bietet Building Information Modeling (BIM) in Kombination mit künstlicher Intelligenz als Querschnittstechnologie verschiedenste Anwendungsszenarien im gesamten Lebenszyklus eines Bauwerks. Besonders in der Ausführungs- und …

So before understanding about deep learning, we should also look at Artificial Intelligence (AI) and Machine Learning (ML). The purpose of AI is to train machines in such a way that they can function like the human mind. The field of AI includes …

Graph layout technique is the cornerstone for graph visualization, which has wide applications in various fields such as social networks, bioinformatics and chemical engineering. Node-link diagram is most generally used in past decades, through …

The rapid advancement of deep learning techniques has led to their widespread application in various domains, including the field of education. The primary focus of the study is a comprehensive exploration of employing deep learning models to …

With the rise of Industrial Internet of Things (IIoT) and other aspects of the digitalization of production more and more time series (TS) data is generated. This data can help to train deep learning models with higher cognitive capabilities and …

In the current digital landscape, network security has become a critical concern due to the widespread use of computer networks in various domains and applications. The Internet and Intranet have revolutionized people’s lives and work, providing …

Automatic gender classification is an important task in facial analysis. Recently, deep learning has achieved remarkable progress in extracting deep features for face image analysis, particularly in gender classification. Gender classification …

Deepfakes, synthetic media created through advanced learning techniques, are rapidly advancing, empowering users to craft deceptive videos via voice manipulation, realistic lip-syncing, and seamless face replacements. From sophisticated methods to …

Obfuscation techniques (e.g., blurring) are employed to protect sensitive information (SI) in images such as individuals’ faces. Recent works demonstrated that adversaries can perform deep learning-assisted (DL) attacks to re-identify obfuscated …

Alternate to word based communication, the human face communicates a lot of information visually. In order to interact with humans and computers, facial expression recognition is necessary. Automated visual recognition systems are useful for …

Two rare genetic eye disorders, known as Retinitis Pigmentosa (RP) and Stargardt Disease (STGD), both falling under the classification of Inherited Retinal Diseases (IRDs), have emerged as focal points of investigation in the pursuit of potential …

Deep learning-based image classification represents a significant advancement in enabling computers to identify the content of images. This process involves a component known as the feature extractor, which extracts vital features from images …

Predicting stock market trends is challenging due to the uncertainty and multiple factors that influence stock prices. This project uses deep learning and machine learning techniques to predict stock market trends. Based on stock market data from …

A system that can forecast how many LPG gas cylinders are being delivered on a truck is the goal of this research study. By using multiple gas cylinders, it would be simpler to keep track of the cylinders and help prevent the illegal sale of these …

The development of financial technology has led to the emergence of a brand-new kind of asset known as cryptocurrency. In general, several cryptocurrencies are present all around the world, but Bitcoin (BTC), Litecoin (LTC), and Ethereum (ETH) are …

A medical illness known as polycystic ovary syndrome (PCOS) af fects hormones in women who are fertile. A delayed or nonexistent menstrual cycle is caused by hormonal imbalance. Women who have PCOS typically struggle with significant symptoms …