HIV/AIDS

A deep learning approach to real-time HIV outbreak detection using genetic data.

Pathogen genomic sequence data are increasingly made available for epidemiological monitoring. A main interest is to identify and assess the potential of infectious disease outbreaks. While popular methods to analyze sequence data often involve phylogenetic tree inference, they are vulnerable to errors from recombination and impose a high computational cost, making it difficult to obtain real-time...

Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks.

During the past two decades, epileptic seizure detection and prediction algorithms have evolved rapidly. However, despite significant performance improvements, their hardware implementation using conventional technologies, such as Complementary Metal-Oxide-Semiconductor (CMOS), in power and area-constrained settings remains a challenging task; especially when many recording channels are used. In t...

Phenotyping in clinical text with unsupervised numerical reasoning for patient stratification.

Phenotypic information of patients, as expressed in clinical text, is important in many clinical applications such as identifying patients at risk of ...

Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT.

Supervised deep learning has become a standard approach to solving medical image segmentation tasks. However, serious difficulties in attaining pixel-...

On the Visual Construction of Environmental Factors in Modern Art Works from the Perspective of Painting Art.

Since the twenty-first century, with the continuous improvement of economic life, people have higher and higher requirements for life at present. Ther...

A Robust End-to-End Deep Learning-Based Approach for Effective and Reliable BTD Using MR Images.

Detection of a brain tumor in the early stages is critical for clinical practice and survival rate. Brain tumors arise in multiple shapes, sizes, and ...

Deep-AVPpred: Artificial Intelligence Driven Discovery of Peptide Drugs for Viral Infections.

Rapid increase in viral outbreaks has resulted in the spread of viral diseases in diverse species and across geographical boundaries. The zoonotic vir...

Dynamic feature learning for COVID-19 segmentation and classification.

Since December 2019, coronavirus SARS-CoV-2 (COVID-19) has rapidly developed into a global epidemic, with millions of patients affected worldwide. As ...

Performance evaluation of machine learning and Computer Coded Verbal Autopsy (CCVA) algorithms for cause of death determination: A comparative analysis of data from rural South Africa.

Computer Coded Verbal Autopsy (CCVA) algorithms are commonly used to determine the cause of death (CoD) from questionnaire responses extracted from ve...

An interpretable deep learning model for classifying adaptor protein complexes from sequence information.

Adaptor proteins (APs) are a family of proteins that aids in intracellular membrane trafficking, and their impairments or defects are closely related ...

Style Transfer of Chinese Art Works Based on Dual Channel Deep Learning Model.

Aiming at the problems of style loss and lack of content in the style transfer of Chinese art works, this paper puts forward the style transfer techno...

Optimal Facial Feature Based Emotional Recognition Using Deep Learning Algorithm.

Humans have traditionally found it simple to identify emotions from facial expressions, but it is far more difficult for a computer system to do the s...

Rutting prediction and analysis of influence factors based on multivariate transfer entropy and graph neural networks.

The Rutting prediction model is an essential element of efficient pavement management systems. Accuracy of commonly used predictive model necessitates...

Auditory Speech Based Alerting System for Detecting Dummy Number Plate via Video Processing Data sets.

Spectrum of applications in computer vision use object detection algorithms driven by the power of AI and ML algorithms. State of art detection models...

UC-NfNet: Deep learning-enabled assessment of ulcerative colitis from colonoscopy images.

Ulcerative colitis (UC) belongs to the inflammatory bowel disease (IBD) family, which is mainly caused by inflammation of the tissue in the colon and ...

Development and validation of a deep learning-based protein electrophoresis classification algorithm.

BACKGROUND: Protein electrophoresis (PEP) is an important tool in supporting the analytical characterization of protein status in diseases related to ...

A processing-in-pixel-in-memory paradigm for resource-constrained TinyML applications.

The demand to process vast amounts of data generated from state-of-the-art high resolution cameras has motivated novel energy-efficient on-device AI s...

Systematic Literature Review on Visual Analytics of Predictive Maintenance in the Manufacturing Industry.

The widespread adoption of cyber-physical systems and other cutting-edge digital technology in manufacturing industry production facilities may motiva...

Application of Artificial Intelligence within Virtual Reality for Production of Digital Media Art.

As technology changes, virtual reality generates realistic images through computer graphics and provides users with an immersive experience through va...

Study on the Innovative Development of Digital Media Art in the Context of Artificial Intelligence.

With the rapid development of modern science and technology, the speed of digital media to disseminate information is also accelerating, and the forms...