Category: 7. Maths

In this study, we introduce the OGFormer model, an innovative framework designed for optimized attention scores. As depicted in Fig. 2, the model consists of three main modules: the Single-Head Self-Attention (SSA) module, the Structural…

Overall pipeline

As illustrated in Fig. 1, this paper proposes a feature fusion method based on a cross-modal gated attention mechanism (Gated Multimodal attention, GMA) for multimodal emotion recognition tasks. The method aims to enhance emotion…

EDO has been categorized into eight distinct modules that include Person, Clinical Manifestation, Disease Symphony, Etiological Factors, Medical Device, Medical History, Treatment, and Procedures. Here is the brief overview of each of these…

Based on the YOLOv8m, this paper proposes a lightweight model friendly to small object detection, named PCPE-YOLO. All C2f modules in the original model are replaced with C2f_PIG modules, which effectively improve computational efficiency while…

This study employs various IoMT devices with distinct initial energy levels in monitoring scenarios utilizing 6G-enabled Internet of Things (IoT) capabilities. N 6G-enabled IoMT devices constitute the network, which comprises three levels of…

Overview

To investigate neural approaches to Kashmiri-English translation, we implement and compare three distinct neural machine translation (NMT) models of increasing architectural complexity: (i) a baseline sequence-to-sequence encoder-decoder…

This study aims to develop a predictive framework for NBA game outcomes using a machine-learning strategy based on the Stacking ensemble method. This section details the materials and methods used to achieve our objective. Figure 1 displays the…

Dataset

The data collection process was conducted at the Key Laboratory of Environment Controlled Aquaculture (Dalian Ocean University), Ministry of Education. The experimental subjects were 25 hybrid groupers (Epinephelus fuscoguttatus♀ ×…

In this manuscript, the MRELC-SCHO approach for stable ecological health is presented. The primary objective of this paper is to propose an effective method for improving medical response efficiency in large crowd environments by utilizing…

Architectural overview

The WTConv-iKransformer constitutes a novel neural computational framework that synergizes temporal nonlinear processing with spectral pattern analysis through three principal innovations: (1) KAN-based nonlinear attention…