Artificial intelligence (AI) has emerged as a prominent topic in K-12 education recently. However, pedagogical design remained major challenge, especially among young learners. Guided by the Zone of Proximal Development theory and AI research literature, this design-based study proposes an analogy-based approach to support teaching learning upper primary education. This is centered on human–AI comparison, where humans are gradually shifted from analogue contrast make visible attributes,...

Residual networks, which use a residual unit to supplement the identity mappings, enable very deep convolutional architecture operate well, however, has been proved be diverse and redundant, may leads low-efficient modeling. In this work, we propose competitive squeeze-excitation (SE) mechanism for network. Re-scaling value each channel in structure will determined by mappings jointly, design enables us expand meaning of relationship modeling blocks. Modeling competition between cause flow...

The tongue image provides important physical information of humans. It is great importance for diagnoses and treatments in clinical medicine. Herbal prescriptions are simple, noninvasive, have low side effects. Thus, they widely applied China. Studies on the automatic construction technology herbal based images significance deep learning to explore relevance prescriptions, it can be healthcare services mobile medical systems. In order adapt a variety photographic environments construct...

Classification of high-dimensional data with very limited labels is a challenging task in the field mining and machine learning. In this paper, we propose multiobjective semisupervised classifier ensemble (MOSSCE) approach to address challenge. Specifically, subspace selection process (MOSSP) MOSSCE first designed generate optimal combination feature subspaces. Three objective functions are then proposed for MOSSP, which include relevance features, redundancy between reconstruction error....

In this paper we address the sampled-data regional and global H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> synthesis problem for a class of linear plants subject to input saturation, where sampling hold rates are synchronous. Such system is expressed as jump system, which further described hybrid systems. Based on Lyapunov theorems systems, function constructed it proved that equivalent purely discrete-time problem. The proposed...

Zero-shot learning uses semantic attributes to connect the search space of unseen objects. In recent years, although deep convolutional network brings powerful visual modeling capabilities ZSL task, its features have severe pattern inertia and lack representation relationships, which leads bias ambiguity. response this, we propose Graph-based Visual-Semantic Entanglement Network conduct graph features, is mapped by using a knowledge graph, it contains several novel designs: 1. establishes...

Healthcare question answering (HQA) system plays a vital role in encouraging patients to inquire for professional consultation. However, there are some challenging factors learning and representing the corpus of HQA datasets, such as high dimensionality, sparseness, noise, nonprofessional expression, etc. To address these issues, we propose an inception convolutional autoencoder model Chinese healthcare clustering (ICAHC). First, select set kernels with different sizes using networks explore...

We analytically derive nonautonomous spatiotemporal soliton solutions of the (3 + 1)-dimensional inhomogeneous nonlinear Schrödinger equation with linear and gain/loss different distributed diffraction/dispersion from two kinds variable transformation connected a solvable differential equation. Diffraction/dispersion nonlinearity play important roles in evolutional characteristics such as amplitude, width, time shift, chirp phase, phase offset shift. Diffraction dispersion management...

We study the global and regional stability performance of saturated systems in a general feedback configuration. Problems to be considered include estimation domain attraction, reachable set under class disturbances with bounded energy nonlinear L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> gain. Motivated by Lure-Postnikov type Lyapunov function, we develop piecewise quadratic function which effectively incorporates structure...

Despite the tremendous success in computer vision, deep convolutional networks suffer from serious computation costs and redundancies. Although previous works address that by enhancing diversities of filters, they have not considered complementarity completeness internal structure. To respond to this problem, we propose a novel inner-imaging (InI) architecture, which allows relationships between channels meet above requirement. Specifically, organize channel signal points groups using...

Navigation with sensor networks has shown many advantages and great potential in scenarios. Previous works have mainly focused on selecting the shortest path to navigate an internal user out of emergency field. However, they did not consider variations dangerous areas which usually occur practical applications. This paper presents efficient dynamic routing algorithm successfully guide users destination exit. The navigation goal is looking for a safe short enable escape from area as fast...

Estimating tree height at the national to regional scale is crucial for assessing forest health and carbon storage understanding ecosystem processes. It also aids in formulating management restoration policies mitigate global climate change. Extensive ground-survey data offer a valuable resource estimating height. In estimation modeling, few comparative studies have examined effectiveness of global-based versus local-based models, spatial heterogeneity independent variable parameters remains...