Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai Conference proceedings 2024 The Editor(s) (if applicable) and The Aut

Robust

,Low Cost Machine Vision for?Insect Classification, the same as well as different genus, family and order. We demonstrate that standard CNN-architectures like ResNet50 (pretrained on iNaturalist data) or MobileNet perform very well for the prediction task after re-training. Smaller custom made CNNs also lead to promising results. Classification accu

Delectable

不出名

Shared Intentionality Before Birth: Emulating a Model of Mother-Fetus Communication for Developing lity that relies on the mother‘s heart pulsed electromagnetic field (PEMF) impact on the adenosine receptors in both organisms. The study creates the concept design for future research to provide evidence of the mother-fetus communication model and establish human-computer connectivity.

啞劇

Virtualization of the Paint Mixing Process Using the Hardware in the Loop Technique,ee Sharp7 library. By means of data blocks, the TIA Portal programming will be related to the variables created in Visual Studio. This will be connected to a real control panel, consisting of a Siemens S7–1200 PLC through the open communication protocol that allows the exchange of data via Industria

松馳

Exclaim

Adversarial Robustness of Multi-bit Convolutional Neural Networks, with a slight degradation of natural accuracy (–2.4pp) when compared to a 2-bit fixed-point quantized implementation of ResNet-20 on CIFAR-10. Similar observations hold for deeper and wider ResNets trained on different datasets, such as CIFAR-100 and ImageNet. Second, this work shows that the defen

蓋他為秘密

CRUMB

Grouping Shapley Value Feature Importances of Random Forests for Explainable Yield Prediction, algorithm to compute them efficiently on tree structures. We provide a blueprint for designing swarm plots that combine many local explanations for global understanding. Extensive evaluation of two different yield prediction problems shows the worth of our approach and demonstrates how we can enabl

微不足道

預(yù)測(cè)