Prescriptions

Active tactile sensing of small insect force by a soft microfinger toward microfinger-insect interactions.

Human-robot interaction technology has contributed to improving sociality for humanoid robots. At scales far from human scales, a microrobot can interact with an environment in a small world. Microsensors have been applied to measurement of forces by flying or walking insects. Meanwhile, most previous works focused on the measurement of the behavior of insects. Here, we propose microrobot-insect i...

DeepFusionDTA: Drug-Target Binding Affinity Prediction With Information Fusion and Hybrid Deep-Learning Ensemble Model.

Identification of drug-target interaction (DTI) is the most important issue in the broad field of drug discovery. Using purely biological experiments to verify drug-target binding profiles takes lots of time and effort, so computational technologies for this task obviously have great benefits in reducing the drug search space. Most of computational methods to predict DTI are proposed to solve a bi...

A model with deep analysis on a large drug network for drug classification.

Drugs are an important means to treat various diseases. They are classified into several classes to indicate their properties and effects. Those in th...

Study on the Classification of Metal Objects by a Fluxgate Magnetometer Cube Structure.

After wars, some unexploded bombs remained underground, and these faulty bombs seriously threaten the safety of people. The ability to accurately iden...

Technical Development of the CeCi Social Robot.

This research presents the technical considerations for implementing the CeCi (Computer Electronic Communication Interface) social robot. In this case...

Design of Service Robot Based on User Emotion Recognition and Environmental Monitoring.

Robots may be able to comprehend human emotions better by adding speech emotion recognition and environment monitoring functions to human-computer int...

A Care Robot with Ethical Sensing System for Older Adults at Home.

Many studies have explored emotional and mental services that robots can provide for older adults, such as offering them daily conversation, news, mus...

Prediction of Prognosis in Patients with Trauma by Using Machine Learning.

We developed a machine learning algorithm to analyze trauma-related data and predict the mortality and chronic care needs of patients with trauma. W...

Design and implementation of an adaptive fuzzy sliding mode controller for drug delivery in treatment of vascular cancer tumours and its optimisation using genetic algorithm tool.

In this paper, the side effects of drug therapy in the process of cancer treatment are reduced by designing two optimal non-linear controllers. The re...

Real-time driving risk assessment using deep learning with XGBoost.

Traffic crashes typically occur in a few seconds and real-time prediction can significantly benefit traffic safety management and the development of s...

Adera2.0: A Drug Repurposing Workflow for Neuroimmunological Investigations Using Neural Networks.

Drug repurposing in the context of neuroimmunological (NI) investigations is still in its primary stages. Drug repurposing is an important method that...

Human-Computer Interaction Environment Monitoring and Collaborative Translation Mode Exploration Using Artificial Intelligence Technology.

Artificial intelligence now plays a significant role in both daily life and scientific research because of the rapid advancement of this technology in...

Application of Price Competition Model Based on Computational Neural Network in Risk Prediction of Transnational Investment.

Aiming at the scenario where edge devices rely on cloud servers for collaborative computing, this paper proposes an efficient edge-cloud collaborative...

Explainable artificial intelligence for precision medicine in acute myeloid leukemia.

Artificial intelligence (AI) can unveil novel personalized treatments based on drug screening and whole-exome sequencing experiments (WES). However, t...

Interactive Art Design and Color Perception Based on the Sparse Network and the VR System.

At present, with the gradual development of science and technology, people's life has also produced a lot of changes, the traditional communication te...

Temporal deep learning framework for retinopathy prediction in patients with type 1 diabetes.

The adoption of electronic health records in hospitals has ensured the availability of large datasets that can be used to predict medical complication...

Estimating individual treatment effect on disability progression in multiple sclerosis using deep learning.

Disability progression in multiple sclerosis remains resistant to treatment. The absence of a suitable biomarker to allow for phase 2 clinical trials ...

GAIN: A Gated Adaptive Feature Interaction Network for Click-Through Rate Prediction.

CTR (Click-Through Rate) prediction has attracted more and more attention from academia and industry for its significant contribution to revenue. In t...

The Application of Computer Intelligence in the Cyber-Physical Business System Integration in Network Security.

In order to address the false alarm detection problem caused by the inability to identify the transgression scene pages in the process of horizontal t...

Self-supervised graph neural network with pre-training generative learning for recommendation systems.

The case assignment system is an essential system of case management and assignment within the procuratorate and is an important aspect of judicial fa...