Infectious Disease

COVID-19

Latest AI and machine learning research in covid-19 for healthcare professionals.

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Machine Learning-Based Prediction of In-Hospital Mortality in Severe COVID-19 Patients Using Hematological Markers.

The mortality rate is very high in patients with severe COVID-19. Nearly 32% of COVID-19 patients a...

Jan 2025 40391097
Intelligent penetration testing method for power internet of things systems combining ontology knowledge and reinforcement learning.

With the application of new-generation information technologies such as big data, artificial intelli...

Jan 2025 40435162
The role of product art design based on a fuzzy decision support system in improving user interaction experience.

User interaction for product selection relies on its design and technical support to improve the qua...

Jan 2025 40403084
iACVP-MR: Accurate Identification of Anti-coronavirus Peptide based on Multiple Features Information and Recurrent Neural Network.

BACKGROUND: Over the years, viruses have caused human illness and threatened human health. Therefore...

Jan 2025 38549527
Development and Validation of a Deep Learning Model Based on MRI and Clinical Characteristics to Predict Risk of Prostate Cancer Progression.

Purpose To validate a deep learning (DL) model for predicting the risk of prostate cancer (PCa) prog...

Jan 2025 39792014
Leveraging artificial intelligence to promote COVID-19 appropriate behaviour in a healthcare institution from north India: A feasibility study.

Background & Objectives Non-pharmacological interventions (NPI) were crucial in curbing the initial ...

Jan 2025 40036109
Titans: Learning to Memorize at Test Time

Over more than a decade there has been an extensive research effort on how to effectively utilize ...

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs

Spatiotemporal prediction over graphs (STPG) is challenging, because real-world data suffers from ...

SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation

The primary challenge of cross-domain few-shot segmentation (CD-FSS) is the domain disparity betwe...

MADiff: Text-Guided Fashion Image Editing with Mask Prediction and Attention-Enhanced Diffusion

Text-guided image editing model has achieved great success in general domain. However, directly ap...

MAKIMA: Tuning-free Multi-Attribute Open-domain Video Editing via Mask-Guided Attention Modulation

Diffusion-based text-to-image (T2I) models have demonstrated remarkable results in global video ed...

P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision

Recent research in subject-driven generation increasingly emphasizes the importance of selective s...

Mask Factory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation

Dichotomous Image Segmentation (DIS) tasks require highly precise annotations, and traditional dat...

Extracting triples from dialogues for conversational social agents

Obtaining an explicit understanding of communication within a Hybrid Intelligence collaboration is...

Sampling Bag of Views for Open-Vocabulary Object Detection

Existing open-vocabulary object detection (OVD) develops methods for testing unseen categories by ...

Leveraging Deep Learning with Multi-Head Attention for Accurate Extraction of Medicine from Handwritten Prescriptions

Extracting medication names from handwritten doctor prescriptions is challenging due to the wide v...

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask

Recent virtual try-on approaches have advanced by fine-tuning the pre-trained text-to-image diffus...

MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context

Few-shot defect multi-classification (FSDMC) is an emerging trend in quality control within indust...

Object Detection Approaches to Identifying Hand Images with High Forensic Values

Forensic science plays a crucial role in legal investigations, and the use of advanced technologie...

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