Medicare

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding

Vision-Language Models (VLMs) have shown promising capabilities in handling various multimodal tas...

Neptune: The Long Orbit to Benchmarking Long Video Understanding

We introduce Neptune, a benchmark for long video understanding that requires reasoning over long t...

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model

We aim to develop a model-based planning framework for world models that can be scaled with increa...

Coverage Path Planning in Precision Agriculture: Algorithms, Applications, and Key Benefits

Coverage path planning (CPP) is the task of computing an optimal path within a region to completel...

Enhancing novel isoform discovery: leveraging nanopore long-read sequencing and machine learning approaches.

Long-read sequencing technologies can capture entire RNA transcripts in a single sequencing read, re...

Interpretable Hierarchical Attention Network for Medical Condition Identification

Accurate prediction of medical conditions with straight past clinical evidence is a long-sought to...

MTVNet: Mapping using Transformers for Volumes -- Network for Super-Resolution with Long-Range Interactions

Until now, it has been difficult for volumetric super-resolution to utilize the recent advances in...

Durbin: Internet Outage Detection with Adaptive Passive Analysis

Measuring Internet outages is important to allow ISPs to improve their services, users to choose p...

Trading off performance and human oversight in algorithmic policy: evidence from Danish college admissions

Student dropout is a significant concern for educational institutions due to its social and econom...

A Novel Automatic Real-time Motion Tracking Method for Magnetic Resonance Imaging-guided Radiotherapy: Leveraging the Enhanced Tracking-Learning-Detection Framework with Automatic Segmentation

Background and Purpose: Accurate motion tracking in MRI-guided Radiotherapy (MRIgRT) is essential ...

Deep learning assisted quantitative analysis of Aβ and microglia in patients with idiopathic normal pressure hydrocephalus in relation to cognitive outcome.

Neuropathologic changes of Alzheimer disease (AD) including Aβ accumulation and neuroinflammation ar...

Taming the Long Tail in Human Mobility Prediction

With the popularity of location-based services, human mobility prediction plays a key role in enha...

ReMEmbR: Building and Reasoning Over Long-Horizon Spatio-Temporal Memory for Robot Navigation

Navigating and understanding complex environments over extended periods of time is a significant c...

LoRa Communication for Agriculture 4.0: Opportunities, Challenges, and Future Directions

The emerging field of smart agriculture leverages the Internet of Things (IoT) to revolutionize fa...

Refinement of genetic variants needs attention

Variant calling refinement is crucial for distinguishing true genetic variants from technical arti...

How Should Medicare Pay for Artificial Intelligence?

Analysis of 3GPP and Ray-Tracing Based Channel Model for 5G Industrial Network Planning

Appropriate channel models tailored to the specific needs of industrial environments are crucial f...

Machine learning for detection of heterogeneous effects of Medicaid coverage on depression.

In 2008, Oregon expanded its Medicaid program using a lottery, creating a rare opportunity to study ...

Using deep learning to improve the intelligibility of a target speaker in noisy multi-talker environments for people with normal hearing and hearing loss.

Understanding speech in noisy environments is a challenging task, especially in communication situat...

Enhancing Hi-C contact matrices for loop detection with Capricorn: a multiview diffusion model.

MOTIVATION: High-resolution Hi-C contact matrices reveal the detailed three-dimensional architecture...

ALPHAGMUT: A Rationale-Guided Alpha Shape Graph Neural Network to Evaluate Mutation Effects

In silico methods evaluating the mutation effects of missense mutations are providing an important...