Study of the effectiveness of Tantalum-Ruthenium as a hydrogen sensing mateial

Hyperparameter Tuning for Artificial Neural Network Pre­ dicting Concrete Compressive Strength

Are BERT-based fact-checking models robust against adversarial attack?

Illumination normalization for Industry 4.0: Specular reflection removal from non-dielectrics

System Design of LED-to-Rolling-Shutter-Camera Communication using Color Shift Keying

The effect of a corrupt program on virtualized P4 programs in HyperVDP

Improving security and efficiency in IoT data management using BC based solutions

Iron oxide nanoparticles as carriers for the Dy-166/Ho-166 in vivo generator: A study into the characteristics and retention of Dy and Ho in iron oxide nanoparticles

Evaluating the Performance of Different Models for Children’s Book Recommendations

Blockchain-empowered federated learning based solutions for Internet of Things security, privacy, and performance

Improving accuracy of sound reflection estimation using neural networks

Trait Analysis to Facilitate Children’s Books Recommender Systems: Extracting perspective and sentiment traits from book fulltext and descriptions

Optimal decision tree using dynamic programming: for the algorithm selection problem

Metadata, the undiscovered treasure box for book recommender systems for children: What traits can be inferred from book’s descriptive and structural metadata which could support the designers of books recommender systems for children?

Low-frequency sea-level variability along the Dutch coast: The relation between non-tidal mechanisms and low-frequency variability in sea-level

Sustainable and smart distribution networks: Machine Learning and Forecasting

Exoplanet surface mapping for Fresnel light curves

Three-dimensional breast cancer spheroids for preclinical assessment: Physical characterization of breast cancer spheroids using GrowDex as scaffolds

Construction of a satellite-imagery-based geomorphological maps of the Uyuni salt flat, Altiplano Basin, Bolivia

Short-term Earthquake Prediction with Deep Neural Networks: Finding the optimal time prior to earthquake strikes to use in predictions