Identifying and Reporting Child abuse

Deep Learning Technology to Recognize American Sign Language Alphabet.

Historically, individuals with hearing impairments have faced neglect, lacking the necessary tools to facilitate effective communication. However, advancements in modern technology have paved the way for the development of various tools and software aimed at improving the quality of life for hearing-disabled individuals. This research paper presents a comprehensive study employing five distinct de...

PEPNet: A barotropic primitive equations-based network for wind speed prediction.

In wind speed prediction technologies, deep learning-based methods have achieved promising advantages. However, most existing methods focus on learning implicit knowledge in a data-driven manner but neglect some explicit knowledge from the physical theory of meteorological dynamics, failing to make stable and long-term predictions. In this paper, we explore introducing explicit physical knowledge ...

Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition.

Event-based visual, a new visual paradigm with bio-inspired dynamic perception and μs level temporal resolution, has prominent advantages in many spec...

Artificial intelligence-based computer aided detection (AI-CAD) in the fight against tuberculosis: Effects of moving health technologies in global health.

Computer Aided Detection software based on Artificial Intelligence (AI-CAD), combined with chest X-rays have recently been promoted as an easy fix for...

Well-being impact assessment of artificial intelligence - A search for causality and proposal for an open platform for well-being impact assessment of AI systems.

In recent years, the well-being impact assessment approach has been applied in the area of Artificial Intelligence (AI). Existing well-being framework...

Lifelong Text-Audio Sentiment Analysis learning.

Sentiment analysis refers to the mining of textual context, which is conducted with the aim of identifying and extracting subjective opinions in textu...

Hyper-Mol: Molecular Representation Learning via Fingerprint-Based Hypergraph.

With the development of artificial intelligence (AI) in the field of drug design and discovery, learning informative representations of molecules is b...

Subarchitecture Ensemble Pruning in Neural Architecture Search.

Neural architecture search (NAS) is gaining more and more attention in recent years because of its flexibility and remarkable capability to reduce the...

Unsupervised graph-level representation learning with hierarchical contrasts.

Unsupervised graph-level representation learning has recently shown great potential in a variety of domains, ranging from bioinformatics to social net...

Key factors selection on adolescents with non-suicidal self-injury: A support vector machine based approach.

Comparing a family structure to a company, one can often think of parents as leaders and adolescents as employees. Stressful family environments and a...

More refined superbag: Distantly supervised relation extraction with deep clustering.

Distant supervision (DS) can automatically generate annotated data for relation extraction (RE) with knowledge bases and corpora. The existing DS meth...

Using AAEHS-Net as an Attention-Based Auxiliary Extraction and Hybrid Subsampled Network for Semantic Segmentation.

Semantic segmentation based on deep learning has undergone remarkable advancements in recent years. However, due to the neglect of the shallow feature...

Marker-Independent Food Identification Enabled by Combing Machine Learning Algorithms with Comprehensive GC × GC/TOF-MS.

Reliable methods are always greatly desired for the practice of food inspection. Currently, most food inspection techniques are mainly dependent on th...

Effect of Robot-Assisted Training on Unilateral Spatial Neglect After Stroke: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: Several studies have shown that robotic devices can effectively improve motor function in stroke patients through limb activation. However...

Deep reinforcement learning guided graph neural networks for brain network analysis.

Modern neuroimaging techniques enable us to construct human brains as brain networks or connectomes. Capturing brain networks' structural information ...

ALSA: Adversarial Learning of Supervised Attentions for Visual Question Answering.

Visual question answering (VQA) has gained increasing attention in both natural language processing and computer vision. The attention mechanism plays...

Motion Feature Aggregation for Video-Based Person Re-Identification.

Most video-based person re-identification (re-id) methods only focus on appearance features but neglect motion features. In fact, motion features can ...

Comparing neural models for nested and overlapping biomedical event detection.

BACKGROUND: Nested and overlapping events are particularly frequent and informative structures in biomedical event extraction. However, state-of-the-a...

Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast.

Deep learning has been a prevalence in computational chemistry and widely implemented in molecular property predictions. Recently, self-supervised lea...

Learning Cross-Modal Common Representations by Private-Shared Subspaces Separation.

Due to the inconsistent distributions and representations of different modalities (e.g., images and texts), it is very challenging to correlate such h...