The article by Marc Schmitt published in December 2023, discusses the use of Artificial Intelligence (AI) and Machine Learning (ML) in securing digital ecosystems against cyber threats. It focuses on…
Continue readingThe article presents IoTGeM, a methodology for modelling IoT network attacks, focusing on generalizability and improved detection performance. It introduces an improved rolling window approach for feature extraction and a…
Continue readingThis academic paper discusses the application of machine learning and coordination in multi-robot systems, specifically in the context of robotic soccer. It provides an overview of artificial intelligence and multi-agent…
Continue readingThe paper presents a methodology for the structural and parametric synthesis of neural network controllers used in automatic control systems. The approach uses artificial neural networks to create controllers that…
Continue readingThe paper investigates the use of modulation spectrum features (MSF) and mel-frequency cepstral coefficients (MFCC) in joint speaker diarization and identification (JSID) using machine learning models like convolutional neural networks…
Continue readingThe paper delves into the epistemic justification for a simplicity preference in inductive inference, derived from the machine learning framework of statistical learning theory. It combines elements from earlier arguments…
Continue readingThis academic article discusses a new system developed for kinship verification using facial photographs, an area of research within the field of computer vision. The system preprocesses face images using…
Continue readingThis academic paper discusses the role of data augmentation in improving the transferability of adversarial examples (AEs) in machine learning. The authors systematically studied 46 augmentation techniques and their effects…
Continue readingThe article presents CaRe-CNN, a cascading refinement convolutional neural network (CNN) model for segmenting myocardial infarcts and microvascular obstructions in magnetic resonance imaging (MRI). The model is fully 3D and…
Continue readingThe paper presents the Japanese Tort-case Dataset (JTD), a novel tool for predicting legal judgments in Japanese tort cases. The dataset features two tasks: tort prediction and rationale extraction. The…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
