This video offers a concise exploration of the distinctions between Data Science, AI, Machine Learning, and Deep Learning. Starting with the foundational role of Data Science, it navigates through the various machine learning categories and touches upon the capabilities and constraints of Deep Learning. …

This final installment in our e-learning series offers a comprehensive look at the current impact and future potential of data science across industries. Using real-world examples like medical image analysis and operational efficiencies at Rotterdam The Hague Airport, we showcase data science’s transformative …

Here, we delve into Demand Forecasting via Machine Learning, dissecting how to predict future demand using time-sensitive data. Westveer highlights key forecasting models, from the basic Simple Exponential Smoothing to the advanced SARIMA, applied to an electricity production dataset. The session, encapsulating …

With the proliferation of misinformation on the web, automatic methods for detecting misinformation are becoming an increasingly important subject of study. If automatic misinformation detection is applied in a real-world setting, it is necessary to validate the methods being used. Large language models …

The paper introduced an automatic score detection model using object detection techniques. The performance of sevenmodels belonging to two different architectural setups was compared. Models like YOLOv8n, YOLOv8s, YOLOv8m, RetinaNet-50, and RetinaNet-101 are single-shot detectors, while Faster RCNN-50 …

(ca. 61 aanmeldingen, 38 personen geweest, afmeldingen op dag zelf diverse redenen.) Netwerkbijeenkomst Industrie 5.0 georganiseerd door de HAN, Saxion, TNO en Universiteit Twente. Momenteel zien we veel veranderingen in de maakindustrie op het gebied van technologische innovatie, veranderende beroepsbevolking …

This paper presents a Decision Support System (DSS) that helps companies with corporate reputation (CR) estimates of their respective brands by collecting provided feedbacks on their products and services and deriving state-of-the-art key performance indicators. A Sentiment Analysis Engine (SAE) is at …

Er zijn verschillen tussen wijken en dus ook tussen passende maatregelen per wijk, bijvoorbeeld rond klimaatadaptatie. De Hogeschool van Amsterdam maakte met machine learning wijktypenkaarten op postcode- en op wijkniveau en vergeleek die met de indelingen van experts. Met een nauwkeurigheid van 86 procent …

Het aantal kinderen dat slachtoffer is van kindermishandeling en huiselijk geweld is hoog en al jaren constant. Met de komst van moderne digitale technologieën wordt voorzichtig verkend of er oplossingsrichtingen liggen ten aanzien van dit probleem. Hoewel technologieën zoals big data en machine learning …

Data-driven condition-based maintenance (CBM) and predictive maintenance (PdM) strategies have emerged over recent years and aim at minimizing the aviation maintenance costs and environmental impact by the diagnosis and prognosis of aircraft systems. As the use of data and relevant algorithms is essential …