Search Results - subject:"Convolutional Neural Network"

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

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

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/10015446820

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

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

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

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

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

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

CT-HiffNet: A contour-texture hierarchical feature fusion network for cropland field parcel extraction from high-resolution remote sensing images

Wu, Hao; Xie, Junyang; Deng, Weihao; Lin, Anqi; Mohamed … - In: Computers and Electronics in Agriculture 239, Part B (2025)

Automatically extracting cropland field parcels from remote sensing images is crucial for developing smart agriculture. However, notable spatio-spectral differences captured by multiple remote sensing sensors at different times led to the uncertain contour and texture features among large-scale...

Persistent link: https://www.econbiz.de/10015461195

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

An artificial intelligence multitier system with lightweight classifier for automated helmetless biker detection

Fahad, Nur Mohammad; Sakib, Sadman; Ratul, Md. Ibrahim; … - 2024

the dataset images. The primary goal of this study is to develop a computationally efficient convolutional neural network …

Persistent link: https://www.econbiz.de/10015419358