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ADHD/ADD

Latest AI and machine learning research in adhd/add for healthcare professionals.

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A Novel Deep Learning and Ensemble Learning Mechanism for Delta-Type COVID-19 Detection.

Recently, the novel coronavirus disease 2019 (COVID-19) has posed many challenges to the research co...

Recurrent neural network based high-precision position compensation control of magnetic levitation system.

For improving the dynamic quality and steady-state performance, the hybrid controller based on recur...

RA V-Net: deep learning network for automated liver segmentation.

Segmenting liver from CT images is the first step for doctors to diagnose a patient's disease. Proce...

Automatic Cobb angle measurement method based on vertebra segmentation by deep learning.

The accuracy of the Cobb measurement is essential for the diagnosis and treatment of scoliosis. Manu...

Automatic Image Processing Algorithm for Light Environment Optimization Based on Multimodal Neural Network Model.

In this paper, we conduct an in-depth study and analysis of the automatic image processing algorithm...

The road to change: Broadband China strategy and enterprise digitization.

The digitization of a company necessitates not only the effort of the company but also state backing...

Submillimeter-scale multimaterial terrestrial robots.

Robots with submillimeter dimensions are of interest for applications that range from tools for mini...

Uncertainty-aware selecting for an ensemble of deep food recognition models.

Deep learning is a machine learning technique that has revolutionized the research community due to ...

Novel Multitask Conditional Neural-Network Surrogate Models for Expensive Optimization.

Multiple-related tasks can be learned simultaneously by sharing information among tasks to avoid tab...

Predictive models for human-AI nexus in group decision making.

Machine learning (ML) and artificial intelligence (AI) have had a profound impact on our lives. Doma...

HearCough: Enabling continuous cough event detection on edge computing hearables.

Cough event detection is the foundation of any measurement associated with cough, one of the primary...

Sparse Adversarial Video Attacks via Superpixel-Based Jacobian Computation.

Adversarial examples have aroused great attention during the past years owing to their threat to the...

Small-scale soft grippers with environmentally responsive logic gates.

Small-scale soft grippers are adaptive and deformable, and can be utilized for confined environments...

Joint Feature Synthesis and Embedding: Adversarial Cross-Modal Retrieval Revisited.

Recently, generative adversarial network (GAN) has shown its strong ability on modeling data distrib...

Deep parameter-free attention hashing for image retrieval.

Deep hashing method is widely applied in the field of image retrieval because of its advantages of l...

Improved Deep Neural Network for Cross-Media Visual Communication.

Cross-media visual communication is an extremely complex task. In order to solve the problem of segm...

Interpretability Analysis of One-Year Mortality Prediction for Stroke Patients Based on Deep Neural Network.

Clinically, physicians collect the benchmark medical data to establish archives for a stroke patient...

Network Intrusion Detection Method Based on FCWGAN and BiLSTM.

Imbalanced datasets greatly affect the analysis capability of intrusion detection models, biasing th...

Deep Learning Enabled Diagnosis of Children's ADHD Based on the Big Data of Video Screen Long-Range EEG.

Attention-deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in children....

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