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🔍 program development 📂 AI & Data Science 📄 Peer-Reviewed
Showing 513 results for "program development" in AI & Data Science · Peer-Reviewed
AI & Data Science Peer-Reviewed PDF DOI

Occlusion Handling and Multi-Scale Pedestrian Detection Based on Deep Learning: A Review

Fang Li, Xueyuan Li, Qi Liu, Zirui Li · 2022

Pedestrian detection is an important branch of computer vision, and has important applications in the fields of autonomous driving, artificial intelligence and video surveillance. With the rapid devel…

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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…

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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…

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AI & Data Science Peer-Reviewed PDF DOI

Toward Performing Image Classification and Object Detection With Convolutional Neural Networks in Autonomous Driving Systems: A Survey

Tolga Turay, Tanya Vladimirova · 2022

Nowadays Convolutional Neural Networks (CNNs) are being employed in a wide range of industrial technologies for a variety of sectors, such as medical, automotive, aviation, agriculture, space, etc. Th…

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AI & Data Science Peer-Reviewed PDF DOI

Design Guidelines for Mammogram-Based Computer-Aided Systems Using Deep Learning Techniques

Farnoosh Azour, Azzedine Boukerche · 2022

Breast cancer is the second fatal disease among cancers patients both in Canada and across the globe. However, when detected early, a patients’ survival rate can be raised. Thus, researchers and scien…

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AI & Data Science Peer-Reviewed PDF DOI

Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network

Akhilesh Kumar Sharma, Shamik Tiwari, Gaurav Aggarwal, Nitika Goenka, Anil Kumar, Prasun Chakrabarti, Tulika Chakrabarti, Radomir Gono, Zbigniew Leonowicz, Michal Jasinski · 2022

Skin cancer is caused due to unusual development of skin cells and deadly type cancer. Early diagnosis is very significant and can avoid some categories of skin cancers, such as melanoma and focal cel…

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AI & Data Science Peer-Reviewed PDF DOI

Two-Dimensional RSSI-Based Indoor Localization Using Multiple Leaky Coaxial Cables With a Probabilistic Neural Network

Junjie Zhu, Pengcheng Hou, Kenta Nagayama, Yafei Hou, Satoshi Denno, Rian Ferdian · 2022

Received signal strength indicator (RSSI) based indoor localization technology has its irreplaceable advantages for many location-aware applications. It is becoming obvious that in the development of …

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AI & Data Science Peer-Reviewed PDF DOI

Smartphone-Based Virtual Agents to Help Individuals With Sleep Concerns During COVID-19 Confinement: Feasibility Study.

Pierre Philip, Lucile Dupuy, Charles M Morin, Etienne de Sevin, Stephanie Bioulac, Jacques Taillard, Fuschia Serre, Marc Auriacombe, Jean-Arthur Micoulaud-Franchi · 2021

The COVID-19 crisis and consequent confinement restrictions have caused significant psychosocial stress and reports of sleep complaints, which require early management, have increased during recent mo…

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AI & Data Science Peer-Reviewed PDF DOI

Smart homes for the older population: particularly important during the COVID-19 outbreak.

Karolina Gawronska, Jacek Lorkowski · 2021

Osteoporosis, one of the leading causes of disability in older adults, significantly reduces the quality of life and leads to loss of independence. Dynamic development of "smart" solutions based on ar…

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AI & Data Science Peer-Reviewed PDF DOI

Diabetic Retinopathy Screening Using Artificial Intelligence and Handheld Smartphone-Based Retinal Camera.

Fernando Korn Malerbi, Rafael Ernane Andrade, Paulo Henrique Morales, Jose Augusto Stuchi, Diego Lencione, Jean Vitor de Paulo, Mayana Pereira Carvalho, Fabricia Silva Nunes, Roseanne Montargil Rocha, Daniel A Ferraz, Rubens Belfort · 2021

Portable retinal cameras and deep learning (DL) algorithms are novel tools adopted by diabetic retinopathy (DR) screening programs. Our objective is to evaluate the diagnostic accuracy of a DL algorit…

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AI & Data Science Peer-Reviewed PDF DOI

Medical education and training within congenital cardiology: current global status and future directions in a post COVID-19 world.

Colin J McMahon, Justin T Tretter, Andrew N Redington, Frances Bu'Lock, Liesl Zuhlke, Ruth Heying, Sandra Mattos, R Krishna Kumar, Jeffrey P Jacobs, Jonathan D Windram · 2021

Despite enormous strides in our field with respect to patient care, there has been surprisingly limited dialogue on how to train and educate the next generation of congenital cardiologists. This paper…

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AI & Data Science Peer-Reviewed PDF DOI

Digital tools, multidisciplinarity and innovation for communicating vaccine safety in the COVID-19 era.

Francesco Gesualdo, Lucie M Bucci, Caterina Rizzo, Alberto E Tozzi · 2021

The research on the anti-SARS-CoV-2 vaccines and their commercialization is an opportunity to test and consolidate the current knowledge along with the diverse available tools related to vaccine commu…

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AI & Data Science Peer-Reviewed PDF DOI

Comparing COVID-19 risk factors in Brazil using machine learning: the importance of socioeconomic, demographic and structural factors.

Pedro Baqui, Valerio Marra, Ahmed M Alaa, Ioana Bica, Ari Ercole, Mihaela van der Schaar · 2021

The COVID-19 pandemic continues to have a devastating impact on Brazil. Brazil's social, health and economic crises are aggravated by strong societal inequities and persisting political disarray. This…

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AI & Data Science Peer-Reviewed PDF DOI

A multi-task CNN learning model for taxonomic assignment of human viruses.

Haoran Ma, Tin Wee Tan, Kenneth Hon Kim Ban · 2021

Taxonomic assignment is a key step in the identification of human viral pathogens. Current tools for taxonomic assignment from sequencing reads based on alignment or alignment-free k-mer approaches ma…

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AI & Data Science Peer-Reviewed PDF DOI

Multimodal data acquisition at SARS-CoV-2 drive through screening centers: Setup description and experiences in Saarland, Germany.

Philipp Flotho, Mayur J Bhamborae, Tobias Grun, Carlos Trenado, David Thinnes, Dominik Limbach, Daniel J Strauss · 2021

SARS-CoV-2 drive through screening centers (DTSC) have been implemented worldwide as a fast and secure way of mass screening. We use DTSCs as a platform for the acquisition of multimodal datasets that…

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AI & Data Science Peer-Reviewed PDF DOI

Identification of SARS-CoV-2 viral entry inhibitors using machine learning and cell-based pseudotyped particle assay.

Hongmao Sun, Yuhong Wang, Catherine Z Chen, Miao Xu, Hui Guo, Misha Itkin, Wei Zheng, Min Shen · 2021

In response to the pandemic caused by SARS-CoV-2, we constructed a hybrid support vector machine (SVM) classification model using a set of publicly posted SARS-CoV-2 pseudotyped particle (PP) entry as…

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AI & Data Science Peer-Reviewed PDF DOI

Neurorehabilitation From a Distance: Can Intelligent Technology Support Decentralized Access to Quality Therapy?

Olivier Lambercy, Rea Lehner, Karen Chua, Seng Kwee Wee, Deshan Kumar Rajeswaran, Christopher Wee Keong Kuah, Wei Tech Ang, Phyllis Liang, Domenico Campolo, Asif Hussain, Gabriel Aguirre-Ollinger, Cuntai Guan, Christoph M Kanzler, Nicole Wenderoth, Roger Gassert · 2021

Current neurorehabilitation models primarily rely on extended hospital stays and regular therapy sessions requiring close physical interactions between rehabilitation professionals and patients. The c…

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AI & Data Science Peer-Reviewed PDF DOI

An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report.

Jihad S Obeid, Matthew Davis, Matthew Turner, Stephane M Meystre, Paul M Heider, Edward C O'Bryan, Leslie A Lenert · 2021

In an effort to improve the efficiency of computer algorithms applied to screening for coronavirus disease 2019 (COVID-19) testing, we used natural language processing and artificial intelligence-base…

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AI & Data Science Peer-Reviewed PDF DOI

A novel artificial intelligence-assisted triage tool to aid in the diagnosis of suspected COVID-19 pneumonia cases in fever clinics.

Cong Feng, Lili Wang, Xin Chen, Yongzhi Zhai, Feng Zhu, Hua Chen, Yingchan Wang, Xiangzheng Su, Sai Huang, Lin Tian, Weixiu Zhu, Wenzheng Sun, Liping Zhang, Qingru Han, Juan Zhang, Fei Pan, Li Chen, Zhihong Zhu, Hongju Xiao, Yu Liu, Gang Liu, Wei Chen, Tanshi Li · 2021

Currently, the need to prevent and control the spread of the 2019 novel coronavirus disease (COVID-19) outside of Hubei province in China and internationally has become increasingly critical. We devel…

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AI & Data Science Peer-Reviewed PDF DOI

Incident atrial fibrillation and its risk prediction in patients developing COVID-19: A machine learning based algorithm approach.

Gregory Y H Lip, Ash Genaidy, George Tran, Patricia Marroquin, Cara Estes · 2021

The elderly multi-morbid patient is at high risk of adverse outcomes with COVID-19 complications, and in the general population, the development of incident AF is associated with worse outcomes in suc…

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