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Found 16 papers, 2 papers with code
Comparative Analysis of Open-Source Language Models in Summarizing Medical Text Data
Unstructured text in medical notes and dialogues contains rich information.
CoBEVFusion: Cooperative Perception with LiDAR-Camera Bird's-Eye View Fusion
The CAVs process the multi-modal data locally and utilize a Dual Window-based Cross-Attention (DWCA) module to fuse the LiDAR and camera features into a unified BEV representation.
A Preliminary Study on Pattern Reconstruction for Optimal Storage of Wearable Sensor Data
By facilitating relevant and representative feature extraction, storage and reconstruction of near original pattern, we aim to address some of the challenges faced by the explosion of the streaming data.
A Web Application for Experimenting and Validating Remote Measurement of Vital Signs
With a surge in online medical advising remote monitoring of patient vitals is required.
ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion
Experimental results on benchmark Knowledge Graphs (KGs) such as FB15K and WN18 show that the proposed approach outperforms the state-of-the-art models in entity prediction task using linear and bilinear methods and other recent powerful ones.
Adaptive Feature Fusion for Cooperative Perception using LiDAR Point Clouds
An effective feature fusion model for the intermediate fusion methods of cooperative perception can improve feature selection and information aggregation to further enhance the perception accuracy.
ReViSe: Remote Vital Signs Measurement Using Smartphone Camera
Since no publicly available rPPG datasets existed for BP measurement with face videos, we used a dataset with signals from fingertip sensor to train our deep learning-based BP estimation model and also created our own video dataset, Video-BP.
Incremental Community Detection in Distributed Dynamic Graph
The contributions of this study include (a) the implementation of a Distributed Weighted Community Clustering (DWCC) algorithm, (b) the design and implementation of a novel Incremental Distributed Weighted Community Clustering (IDWCC) algorithm, and (c) an experimental study to compare the performance of our IDWCC algorithm with the DWCC algorithm.
A Big Data Lake for Multilevel Streaming Analytics
These data management challenges are largely posed by the availability of streaming data at high velocity from various sources in multiple formats.
Towards a Natural Language Query Processing System
This paper reports our study on the design and development of a natural language query interface to a backend relational database.
A Voice Interactive Multilingual Student Support System using IBM Watson
The chatbot could also be adapted for use in other application areas such as student info-centers, government kiosks, and mental health support systems.
A Scalable Framework for Multilevel Streaming Data Analytics using Deep Learning
Our framework combines Spark streaming for real time text processing, the Long Short Term Memory (LSTM) deep learning model for higher level sentiment analysis, and other tools for SQL-based analytical processing to provide a scalable solution for multilevel streaming text analytics.
Predicting the Effects of News Sentiments on the Stock Market
Stock market forecasting is very important in the planning of business activities.
Detecting Irregular Patterns in IoT Streaming Data for Fall Detection
With the proliferation of a variety of sensor devices, real-time analytics of data from the Internet of Things (IoT) to learn regular and irregular patterns has become an important machine learning problem to enable predictive analytics for automated notification and decision support.
The use of Virtual Reality in Enhancing Interdisciplinary Research and Education
Virtual Reality (VR) is increasingly being recognized for its educational potential and as an effective way to convey new knowledge to people, it supports interactive and collaborative activities.
Xu: An Automated Query Expansion and Optimization Tool
The exponential growth of information on the Internet is a big challenge for information retrieval systems towards generating relevant results.
