Prediction of heat transfer to supercritical CO₂ flowing upward in a uniformly heated vertical tube: Master thesis

Procedural Tree Generation: How to efficiently predict branching structures from foliage?

An Experimental Assessment of the Stability of Graph Contrastive Learning

Sparse Temporal Convolutional Neural Networks for Keyword Spotting

Guest Editorial: Advances in AI-assisted radar sensing applications

Identification and Suppression of Multicomponent Noise in Audio Magnetotelluric Data Based on Convolutional Block Attention Module

Damage Classification of a Bolted Connection using Guided Waves and Explainable Artificial Intelligence

Fuel consumption prediction for pre-departure flights using attention-based multi-modal fusion

Interference Mitigation for Automotive FMCW Radar Based on Contrastive Learning With Dilated Convolution

Explainable artificial intelligence for intrusion detection in IoT networks: A deep learning based approach

Modular Neural Network Navigation for Autonomous Nano Drone Racing

A Novel Onboard Georeferencing System for Small Satellites: Enabling Real-Time Localized Insights

Scale Learning in Scale-Equivariant Convolutional networks

Meta-learning for few-shot on-chip sequence classification

Data-efficient resolution transfer with Continuous Kernel Convolutional Neural Networks

Augment it Maybe?: Improving Deep Vision Models with Adversarial Scene Text Augmentation

Microtubule Detection and Instance Segmentation using Deep Convolutional Neural Networks

Simplicial Unrolling ElasticNet for Edge Flow Signal Reconstruction

Design and Interpretation of a Convolutional Neural Network Architecture for Imaging Mass Spectrometry Data

Low-Power Gesture Recognition Using Convolutional Neural Networks and Ambient Lighting