Expertini Research Research

Browse Research Papers

215+ open-access research outputs.

✕ Clear
🔍 programming languages 📂 AI & Data Science 📄 Peer-Reviewed
Showing 215 results for "programming languages" in AI & Data Science · Peer-Reviewed
AI & Data Science Peer-Reviewed PDF DOI

Using HW/SW Codesign for Deep Neural Network Hardware Accelerator Targeting Low-Resources Embedded Processors

Erez Manor, Shlomo Greenberg · 2022

The usage of RISC-based embedded processors, aimed at low cost and low power, is becoming an increasingly popular ecosystem for both hardware and software development. High performance yet low power e…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Neural Network Approach to Program Synthesis for Tabular Transformation by Example

Yoshifumi Ujibashi, Atsuhiro Takasu · 2022

Data transformation is a laborious and time-consuming task for analysts. Programming by example (PBE) is a technique that can simplify this difficult task for data analysts by automatically generating…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

An Accurate Matching Query Method of Natural Language Knowledge Graph Based on Hierarchical Graph Topological Sequence

Qifeng Zou, Chaoze Lu · 2022

In recent years, although the application of knowledge graph in natural language processing has made some progress, there are still some key problems to be solved, especially the matching query proble…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Linear Arrhenius-Weibull Model for Power Transformer Thermal Stress Assessment

Milad Soleimani, Mladen Kezunovic, Sergiy Butenko · 2022

Arrhenius equations with Weibull distribution have been broadly deployed to quantify the loss of life and probability of failure of power transformers. This model is highly nonlinear, and this non-lin…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Patient Factors and Hospital Outcomes Associated With Atypical Presentation in Hospitalized Older Adults With COVID-19 During the First Surge of the Pandemic.

Allison Marziliano, Edith Burns, Lakshpaul Chauhan, Yan Liu, Alex Makhnevich, Meng Zhang, Maria T Carney, Yasser Dbeis, Charlotta Lindvall, Michael Qiu, Michael A Diefenbach, Liron Sinvani · 2021

Literature indicates an atypical presentation of COVID-19 among older adults (OAs). Our purpose is to identify the frequency of atypical presentation and compare demographic and clinical factors, and …

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

A long-lasting negative effect of COVID-19 pandemic on public sentiment: a full-year tracking of online public sentiment in mainland China.

Hao Tan, Sheng-Lan Peng, Chun-Peng Zhu, Zuo You, Ming-Cheng Miao, Shu-Guang Kuai · 2021

The outbreak of COVID-19 induces negative emotions among people. These emotions are expressed by humans on social media and rapidly spread through the Internet. The spread could cause a wide range of …

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 prediction.

Siawpeng Er, Shihao Yang, Tuo Zhao · 2021

The global spread of COVID-19, the disease caused by the novel coronavirus SARS-CoV-2, has casted a significant threat to mankind. As the COVID-19 situation continues to evolve, predicting localized d…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Development and validation of an automated emergency department-based syndromic surveillance system to enhance public health surveillance in Yukon: a lower-resourced and remote setting.

Etran Bouchouar, Benjamin M Hetman, Brendan Hanley · 2021

Automated Emergency Department syndromic surveillance systems (ED-SyS) are useful tools in routine surveillance activities and during mass gathering events to rapidly detect public health threats. To …

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

US Ventilator Allocation and Patient Triage Policies in Anticipation of the COVID-19 Surge.

Julia S C Chelen, Douglas B White, Stephanie Zaza, Amanda N Perry, Deborah S Feifer, Maia L Crawford, Amber E Barnato · 2021

Before the predicted March 2020 surge of COVID-19, US healthcare organizations were charged with developing resource allocation policies. We assessed policy preparedness and substantive triage criteri…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Smart City Data Sensing during COVID-19: Public Reaction to Accelerating Digital Transformation.

Alexander A Kharlamov, Aleksei N Raskhodchikov, Maria Pilgun · 2021

The article presents the results of the analysis of the adaptation of metropolis IT technologies to solve operational problems in extreme conditions during the COVID-19 pandemic. The material for the …

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Event detection in finance using hierarchical clustering algorithms on news and tweets.

Salvatore Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero · 2021

In the current age of overwhelming information and massive production of textual data on the Web, Event Detection has become an increasingly important task in various application domains. Several rese…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

The barriers and enablers to downloading the COVIDSafe app - a topic modelling analysis.

Nicolas R Smoll, Jacina Walker, Gulam Khandaker · 2021

We report a survey in regional Queensland to understand the reasons for suboptimal uptake of the COVIDSafe app. A short five-minute electronic survey disseminated to healthcare professionals, mining g…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Using a Secure, Continually Updating, Web Source Processing Pipeline to Support the Real-Time Data Synthesis and Analysis of Scientific Literature: Development and Validation Study.

Uddhav Vaghela, Simon Rabinowicz, Paris Bratsos, Guy Martin, Epameinondas Fritzilas, Sheraz Markar, Sanjay Purkayastha, Karl Stringer, Harshdeep Singh, Charlie Llewellyn, Debabrata Dutta, Jonathan M Clarke, Matthew Howard, Ovidiu Serban, James Kinross · 2021

The scale and quality of the global scientific response to the COVID-19 pandemic have unquestionably saved lives. However, the COVID-19 pandemic has also triggered an unprecedented "infodemic"; the ve…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Emotional Analysis of Twitter Posts During the First Phase of the COVID-19 Pandemic in Greece: Infoveillance Study.

Styliani Geronikolou, George Drosatos, George Chrousos · 2021

The effectiveness of public health measures depends upon a community's compliance as well as on its positive or negative emotions. The purpose of this study was to perform an analysis of the expressed…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Online Interactive Platform for COVID-19 Literature Visual Analytics: Platform Development Study.

Addy Moran, Shawn Hampton, Scott Dowson, John Dagdelen, Amalie Trewartha, Gerbrand Ceder, Kristin Persson, Elise Saxon, Andrew Barker, Lauren Charles, Bobbie-Jo Webb-Robertson · 2021

Papers on COVID-19 are being published at a high rate and concern many different topics. Innovative tools are needed to aid researchers to find patterns in this vast amount of literature to identify s…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Case-control study of neuropsychiatric symptoms following COVID-19 hospitalization in 2 academic health systems.

Victor M Castro, Jonathan Rosand, Joseph T Giacino, Thomas H McCoy, Roy H Perlis · 2021

Neuropsychiatric symptoms may persist following acute COVID-19 illness, but the extent to which these symptoms are specific to COVID-19 has not been established. We utilized electronic health records …

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Anatomy into the battle of supporting or opposing reopening amid the COVID-19 pandemic on Twitter: A temporal and spatial analysis.

Lingyao Li, Abdolmajid Erfani, Yu Wang, Qingbin Cui · 2021

Reopening amid the COVID-19 pandemic has triggered a battle on social media. The supporters perceived that the lockdown policy could damage the economy and exacerbate social inequality. By contrast, t…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

LitSuggest: a web-based system for literature recommendation and curation using machine learning.

Alexis Allot, Kyubum Lee, Qingyu Chen, Ling Luo, Zhiyong Lu · 2021

Searching and reading relevant literature is a routine practice in biomedical research. However, it is challenging for a user to design optimal search queries using all the keywords related to a given…

Read Paper →
AI & Data Science Peer-Reviewed PDF DOI

Engagement With COVID-19 Public Health Measures in the United States: A Cross-sectional Social Media Analysis from June to November 2020.

Daisy Massey, Chenxi Huang, Yuan Lu, Alina Cohen, Yahel Oren, Tali Moed, Pini Matzner, Shiwani Mahajan, Cesar Caraballo, Navin Kumar, Yuchen Xue, Qinglan Ding, Rachel Dreyer, Brita Roy, Harlan Krumholz · 2021

COVID-19 has continued to spread in the United States and globally. Closely monitoring public engagement and perceptions of COVID-19 and preventive measures using social media data could provide impor…

Read Paper →
Page 1 of 11 Next →