Category: 7. Maths

Comparison and analysis of prediction results

PointNet++ model prediction is different from model training in that model prediction requires loading all data sets rather than random sampling. The test set contains a total of 60 point cloud…

Network architecture

In the PCL network all feedforward connections are excitatory, while all recurrent or feedback connections are inhibitory (Fig. 1a). A unit in the PCL network can therefore excite some of its targets and inhibit others, i.e.,…

The proposed penalty indicator programme (PIP) intends to provide an indicative signal for imposing penalty for the unscheduled interchange of power through the ABT mechanism¹⁶. This PIP will try to witness the follow through of frequency dips…

Model overview

Compartmental models, fundamentally established by the seminal contributions of Kermack and McKendrick in 1927¹⁸, are the workhorse of theoretical epidemiology. Individuals are grouped as susceptible (S), infected (I), and removed…

The workflow in Fig. 1 begins with the ISIC 2018 skin lesion dataset, and input images undergo preprocessing steps, such as filter enhancement and hair removal, to make the lesion more visible. These are followed by data augmentation techniques,…

License plate feature extraction enhancement based on triplet attention

YOLOv5 has been widely used in various object detection tasks due to its excellent detection precision and inference speed. The YOLOv5 series includes four model scales: s, m,…

We propose EgoVision: a novel framework designed to enhance object recognition in egocentric settings while maintaining real-time efficiency. The flow diagram of the proposed method is shown in Fig. 1, which visually outlines the complete…

To rigorously assess the effectiveness and generalizability of the proposed method, we conduct extensive experiments on three widely recognized human motion prediction benchmarks: Human3.6M, AMASS, and 3DPW. All experiments follow consistent…