Abstract: Computer vision is a versatile area that allows a computer to understand and analyze images from the environment. This paper focuses on a comprehensive discussion of where computer vision is ...

We present SegLLM, a novel multi-round interactive segmentation model that leverages conversational memory of both visual and textual outputs to reason over previously segmented objects and past ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Abstract: Efficient large-scale monitoring of methane emissions is crucial for sustainable environmental management, necessitating advanced remote sensing techniques that process hyperspectral imagery ...

Using a custom "camera-to-rice" platform combined with deep-learning methods for feature extraction, matching, segmentation, and denoising, the system ...

Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.

Crafting clear mission and vision statements is critical to shaping company identity, motivating employees and guiding decision-making. A mission statement defines the current scope and purpose of the ...

Density-based clustering for vector embeddings using HDBSCAN and cosine similarity. Features automatic parameter search, PCA, and quality metrics without defining cluster counts.