STDs

Integrating SEResNet101 and SE-VGG19 for advanced cervical lesion detection: a step forward in precision oncology.

BACKGROUND: Cervical cancer remains a significant global health issue, with accurate differentiation between low-grade (LSIL) and high-grade squamous intraepithelial lesions (HSIL) crucial for effective screening and management. Current methods, such as Pap smears and HPV testing, often fall short in sensitivity and specificity. Deep learning models hold the potential to enhance the accuracy of ce...

A Reinforcement-Learning-Enhanced LLM Framework for Automated A/B Testing in Personalized Marketing

For personalized marketing, a new challenge of how to effectively algorithm the A/B testing to maximize user response is urgently to be overcome. In this paper, we present a new approach, the RL-LLM-AB test framework, for using reinforcement learning strategy optimization combined with LLM to automate and personalize A/B tests. The RL-LLM-AB test is built upon the pre-trained instruction-tuned l...

Multi-modal Traffic Scenario Generation for Autonomous Driving System Testing

Autonomous driving systems (ADS) require extensive testing and validation before deployment. However, it is tedious and time-consuming to construct ...

ElderFallGuard: Real-Time IoT and Computer Vision-Based Fall Detection System for Elderly Safety

For the elderly population, falls pose a serious and increasing risk of serious injury and loss of independence. In order to overcome this difficult...

Low-cost robotic manipulation of live microtissues for cancer drug testing.

The scarcity of human biopsies available for drug testing is a paramount challenge for developing therapeutics, disease models, and personalized treat...

Adaptive Spatial Transcriptomics Interpolation via Cross-modal Cross-slice Modeling

Spatial transcriptomics (ST) is a promising technique that characterizes the spatial gene profiling patterns within the tissue context. Comprehensiv...

Advancing Mobile UI Testing by Learning Screen Usage Semantics

The demand for quality in mobile applications has increased greatly given users' high reliance on them for daily tasks. Developers work tirelessly t...

Corn Seed Freezing Damage Identification of Different Sides Based on Hyperspectral Imaging and SPA-2DCOS Fusion Algorithm.

In order to improve the utilization efficiency of corn seeds and meet the demand of single-seed seeding technology in agriculture, this study was cond...

Analysis of Multi-Target Synergistic Mechanism of Coix Seed Therapy for Herpes Zoster Based on Machine Learning and Network Pharmacology.

OBJECTIVE: To explore the efficacy and mechanism of Coix seeds in treating herpes zoster (HZ) using an integrated computational approach.

Antimicrobial Susceptibility Profiles of Isolates from Clinical Cases of Ducks in Hungary Between 2022 and 2023.

: Antimicrobial resistance (AMR) poses a growing threat to veterinary medicine and food safety. This study examines antibiotic resistance patterns in...

One-pot synthesized multifunctional Zn-MOF/HOF heterostructure sensor array assisted by machine learning for efficient capture, target discrimination and optosmart sensing of doxycycline analogs.

The ideal multifunctional platform that combines the capabilities of effective capture, sensitive detection, and accurate identification of doxycyclin...

A comprehensive framework for statistical testing of brain dynamics

We introduce a comprehensive statistical framework for analysing brain dynamics and testing their associations with behavioural, physiological and o...

TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment

Learning discriminative 3D representations that generalize well to unknown testing categories is an emerging requirement for many real-world 3D appl...

Edge-preserving Image Denoising via Multi-scale Adaptive Statistical Independence Testing

Edge detection is crucial in image processing, but existing methods often produce overly detailed edge maps, affecting clarity. Fixed-window statist...

Predicting Recurrence in Locally Advanced Rectal Cancer Using Multitask Deep Learning and Multimodal MRI.

Purpose To develop and validate a deep multitask network, MultiRecNet, for fully automatic prediction of disease-free survival (DFS) in patients with ...

Automatic Segmentation and Molecular Subtype Classification of Breast Cancer Using an MRI-based Deep Learning Framework.

Purpose To build a deep learning framework using contrast-enhanced MRI for lesion segmentation and automatic molecular subtype classification in breas...

Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat

The development of powerful user representations is a key factor in the success of recommender systems (RecSys). Online platforms employ a range of ...

Subject Information Extraction for Novelty Detection with Domain Shifts

Unsupervised novelty detection (UND), aimed at identifying novel samples, is essential in fields like medical diagnosis, cybersecurity, and industri...

VLM-Fuzz: Vision Language Model Assisted Recursive Depth-first Search Exploration for Effective UI Testing of Android Apps

Testing Android apps effectively requires a systematic exploration of the app's possible states by simulating user interactions and system events. W...

Relative-error testing of conjunctions and decision lists

We study the relative-error property testing model for Boolean functions that was recently introduced in the work of Chen et al. (SODA 2025). In rel...