Hospital-Based Medicine

Surveillance

Latest AI and machine learning research in surveillance for healthcare professionals.

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Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications

Small object detection (SOD) is a critical yet challenging task in computer vision, with applicati...

Peepers & Pixels: Human Recognition Accuracy on Low Resolution Faces

Automated one-to-many (1:N) face recognition is a powerful investigative tool commonly used by law...

AIJIM: A Scalable Model for Real-Time AI in Environmental Journalism

This paper introduces AIJIM, the Artificial Intelligence Journalism Integration Model -- a novel f...

Proceedings of the 3rd Italian Conference on Big Data and Data Science (ITADATA2024)

Proceedings of the 3rd Italian Conference on Big Data and Data Science (ITADATA2024), held in Pisa...

Ship Detection in Remote Sensing Imagery for Arbitrarily Oriented Object Detection

This research paper presents an innovative ship detection system tailored for applications like ma...

Gun Detection Using Combined Human Pose and Weapon Appearance

The increasing frequency of firearm-related incidents has necessitated advancements in security an...

$(\varepsilon, δ)$ Considered Harmful: Best Practices for Reporting Differential Privacy Guarantees

Current practices for reporting the level of differential privacy (DP) guarantees for machine lear...

Review GIDE -- Restaurant Review Gastrointestinal Illness Detection and Extraction with Large Language Models

Foodborne gastrointestinal (GI) illness is a common cause of ill health in the UK. However, many c...

Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity

Deep learning models have an intrinsic privacy issue as they memorize parts of their training data...

Ensemble optimal control for managing drug resistance in cancer therapies

In this paper, we explore the application of ensemble optimal control to derive enhanced strategie...

ConstellationNet: Reinventing Spatial Clustering through GNNs

Spatial clustering is a crucial field, finding universal use across criminology, pathology, and ur...

Interactive Segmentation and Report Generation for CT Images

Automated CT report generation plays a crucial role in improving diagnostic accuracy and clinical ...

Primer C-VAE: An interpretable deep learning primer design method to detect emerging virus variants

Motivation: PCR is more economical and quicker than Next Generation Sequencing for detecting targe...

Wavelet-Enhanced Desnowing: A Novel Single Image Restoration Approach for Traffic Surveillance under Adverse Weather Conditions

Image restoration under adverse weather conditions refers to the process of removing degradation c...

Detection of Customer Interested Garments in Surveillance Video using Computer Vision

One of the basic requirements of humans is clothing and this approach aims to identify the garment...

Value of Using a Generative AI Model in Chest Radiography Reporting: A Reader Study.

Background Multimodal generative artificial intelligence (AI) technologies can produce preliminary r...

Mar 2025 40067108
Strategies in using artificial intelligence to combat antimicrobial resistance.

Infectious diseases caused by pathogens resistant to antimicrobial treatments, defined as antimicrob...

Mar 2025 40084447
From Manual to Machine: Revolutionizing Day Surgery Guideline and Consensus Quality Assessment With Large Language Models.

OBJECTIVE: To evaluate the methodological and reporting quality of clinical practice guidelines/expe...

Mar 2025 40123109
DIPSER: A Dataset for In-Person Student Engagement Recognition in the Wild

In this paper, a novel dataset is introduced, designed to assess student attention within in-perso...

AffectSRNet : Facial Emotion-Aware Super-Resolution Network

Facial expression recognition (FER) systems in low-resolution settings face significant challenges...

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