Category: 7. Maths

Framework overview

As illustrated in Fig. 1a, Cedar works in three phases, namely learning preparation, meta-model training, and model deployment. Specifically, (1) during the first phase, upon receiving an incoming model training or updating…

Datasets

To verify the performance of the proposed method, three real hyperspectral image datasets are used in the experiments: the Indian Pines dataset, the Salinas dataset, and the Pavia University dataset.

Experimental setup

(1) Indian Pines: The…

Topological data analysis

Topology is a branch of mathematics that studies the continuity and connectivity of intrinsic geometric properties of higher-dimensional surfaces and manifolds within a space, including the shape, the number of holes, and…

In recent years, the field of medical image analysis has undergone a transformative shift with the integration of machine learning (ML) techniques fundamentally expanding the landscape of diagnostic and therapeutic strategies. The advancement of…

Controller description

The control architecture is summarized in Fig. 4. Here, x is the system state, u_a are the thruster/aerial control inputs and u_g are the ground/driving control inputs while x_ref, u_ref denote the state and input references…

This optimization problem seeks to determine the shortest, safest, and most energy-efficient flight trajectory within complex environments, such as bridge construction, enabling the UAV to efficiently navigate from the starting point to the…

The main units of the SPU that affect its operating modes and the processes of sulfur production include: Claus reactors and CBA R ; capacitors E; oven F and pump SOB. We develop their models based on available fuzzy and other data using the…

This study presents a unified model that bridges the gap between biological plausibility and conceptual interpretability. Drawing inspiration from the columnar organization of neurons and the contextual nature of concepts, the model posits an…

In this section, we propose improved ideas and algorithms for bilateral networks aimed at unstructured road problems, for the bilateral path, one side includes the CA-based context path, the GCN module, and the BR module, while the other side…

Survey sampling is a statistical technique used to collect data from a subset of a larger population to draw conclusions about the entire population. By sampling, researchers can make inferences based on a representative sample of the population….