Search Results - subject:"Convolutional Neural Network"

Categorical classification of skin cancer using a weighted ensemble of transfer learning with test time augmentation

Ibrahim, Aliyu Tetengi; Abdullahi, Mohammed; Kana, … - In: Data science and management : DSM 8 (2025) 2, pp. 174-184

convolutional neural network (CNN) approach was used for skin cancer diagnosis. However, the CNN model requires a significant number …

Persistent link: https://www.econbiz.de/10015455583

Erforschung von Satelliten- und weiteren Fernerkundungsdaten zur Ermittlung von Gebäudeangaben

Hennig, Florian; Köhlmann, Maren; Weißmann, Julius; … - In: Wirtschaft und Statistik : WISTA (2025) 4, pp. 70-82

Das Statistische Bundesamt hat gemeinsam mit dem Deutschen Zentrum für Luft- und Raumfahrt und dem Bundesamt für Kartographie und Geodäsie das Forschungsprojekt "Satelliten- und andere Fernerkundungsdaten für das Gebäude- und Wohnungsregister" (Sat4GWR) durchgeführt. Darin untersuchten sie...

Persistent link: https://www.econbiz.de/10015445230

Capturing complex electricity load patterns : a hybrid deep learning approach with proposed external-convolution attention

Zare, Mohammad Sadegh; Nikoo, Mohammad Reza; Chen, Mingjie - In: Energy strategy reviews 57 (2025), pp. 1-15

Convolutional Neural Network, Temporal Convolutional Network, and Bidirectional Long Short-Term Memory with a proposed attention …

Persistent link: https://www.econbiz.de/10015432128

A data-driven approach for predicting remaining intra-surgical time and enhancing operating room efficiency

Ramadan, Saleem; Abu-Shams, Mohammad; Al-Dahidi, Sameer; … - In: Journal of industrial engineering and management : JIEM 18 (2025) 1, pp. 145-166

Purpose: Efficient scheduling in Operating Rooms (ORs) is essential for optimizing corresponding costs and enhancing customer satisfaction in healthcare systems.Design/methodology/approach: Conventional static scheduling methods rely on fixed historical surgery times and often lead to...

Persistent link: https://www.econbiz.de/10015414982

A predictive analytics framework for forecasting soccer match outcomes using machine learning models

Wong, Albert; Li, Eugene; Le, Huan; Bhangu, Gurbir; … - 2025

Predicting the outcome of a sports game is a favourite pastime for sports fans and researchers. The interest has intensified in recent years due to data availability, the development and successful implementation of machine learning algorithms, and the proliferation of internet gaming. This...

Persistent link: https://www.econbiz.de/10015420113

A novel subject-independent deep learning approach for user behavior prediction in electronic markets based on electroencephalographic data

Penava, Pascal; Buettner, Ricardo - In: Electronic Markets 35 (2025) 1

Based on the work by Buettner (2017) showing a personality-based recommender system for electronic markets using social media data, we extend the work by proposing a novel deep learning-based engine to predict the user’s personality just based on electroencephalographic brain data. As...

Persistent link: https://www.econbiz.de/10015437989

Valuation of American options using machine learning: Beyond Longstaff-Schwartz and hybrid models

Vivas-Redondo, Maria; Coronado-Vaca, María; … - In: Journal of Derivatives and Quantitative Studies: … 33 (2025) 3, pp. 170-188

-Nearest Neighbors (KNN), Random Forest (RF), Multi-Layer Perceptron (MLP) and Convolutional Neural Network (CNN) are employed using …

Persistent link: https://www.econbiz.de/10015607498

Valuation of American options using machine learning : beyond Longstaff-Schwartz and hybrid models

Vivas-Redondo, Maria; Coronado-Vaca, María; … - In: Journal of derivatives and quantitative studies : … 33 (2025) 3, pp. 170-188

-Nearest Neighbors (KNN), Random Forest (RF), Multi-Layer Perceptron (MLP) and Convolutional Neural Network (CNN) are employed using …

Persistent link: https://www.econbiz.de/10015549107

Erforschung von Satelliten- und weiteren Fernerkundungsdaten zur Ermittlung von Gebäudeangaben

Hennig, Florian; Köhlmann, Maren; Weißmann, Julius; … - In: WISTA - Wirtschaft und Statistik 77 (2025) 4, pp. 70-82

Persistent link: https://www.econbiz.de/10015446820

Food products pricing theory with application of machine learning and game theory approach

Mamoudan, Mobina Mousapour; Mohammadnazari, Zahra; … - In: International journal of production research 62 (2024) 15, pp. 5489-5509

Persistent link: https://www.econbiz.de/10015053701