Jo Ueyama

Jo Ueyama

Universidade de São Paulo

H-index: 28

Latin America-Brazil

About Jo Ueyama

Jo Ueyama, With an exceptional h-index of 28 and a recent h-index of 22 (since 2020), a distinguished researcher at Universidade de São Paulo, specializes in the field of Internet of Things (IoT), Ad Hoc Networks, Mobile Health, Environmental Informatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Performance analysis of a Vehicular Ad Hoc network Using LoRa technology and IoT devices in Amazon Rivers

A deep learning workflow enhanced with optical flow fields for flood risk estimation

Water level identification with laser sensors, inertial units, and machine learning

On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork

Artificial neural networks applied to time series for flood prediction

Maximizing portfolio profitability during a cryptocurrency downtrend: A Bitcoin Blockchain transaction-based approach

Enhancing Water Level Identification with a Barcode-Patterned Panel and Machine Learning

An Evaluation of Iron Ore Characteristics Through Machine Learning and 2D LiDAR Technology

Jo Ueyama Information

University

Position

Professor of Computer Science @ (USP)

Citations(all)

3981

Citations(since 2020)

2313

Cited By

2504

hIndex(all)

28

hIndex(since 2020)

22

i10Index(all)

76

i10Index(since 2020)

47

Email

University Profile Page

Universidade de São Paulo

Google Scholar

View Google Scholar Profile

Jo Ueyama Skills & Research Interests

Internet of Things (IoT)

Ad Hoc Networks

Mobile Health

Environmental Informatics

Top articles of Jo Ueyama

Title

Journal

Author(s)

Publication Date

Performance analysis of a Vehicular Ad Hoc network Using LoRa technology and IoT devices in Amazon Rivers

Ad Hoc Networks

Lucélia Cunha da Rocha Santos

Sarita Mazzini Bruschi

Paulo Sergio Lopes de Souza

Jó Ueyama

Alyson de Jesus dos Santos

...

2024/1/1

A deep learning workflow enhanced with optical flow fields for flood risk estimation

Applied Intelligence

Caetano Mazzoni Ranieri

Thaís Luiza Donega e Souza

Marislei Nishijima

Bhaskar Krishnamachari

Jó Ueyama

2024/4/22

Water level identification with laser sensors, inertial units, and machine learning

Engineering Applications of Artificial Intelligence

Caetano M Ranieri

Angelo VK Foletto

Rodrigo D Garcia

Saulo N Matos

Maria MG Medina

...

2024/1/1

On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork

Matheus Ap do Carmo Alves

Elnaz Shafipour Yourdshahi

Amokh Varma

Leandro Soriano Marcolino

Jó Ueyama

...

2023/5/30

Artificial neural networks applied to time series for flood prediction

Laleska AF Mesquita

Caetano M Ranieri

Jó Ueyama

2023/9/25

Maximizing portfolio profitability during a cryptocurrency downtrend: A Bitcoin Blockchain transaction-based approach

Procedia Computer Science

Esteban Wilfredo Vilca Zuniga

Caetano Mazzoni Ranieri

Liang Zhao

Jó Ueyama

Yu-tao Zhu

...

2023/1/1

Enhancing Water Level Identification with a Barcode-Patterned Panel and Machine Learning

Gabriel Montagni Domingues Filho

Caetano Mazzoni Ranieri

Douglas Queiroz Galucio Batista

Jó Ueyama

2023/9/25

An Evaluation of Iron Ore Characteristics Through Machine Learning and 2D LiDAR Technology

IEEE Transactions on Instrumentation and Measurement

Saulo N Matos

Thomas VB Pinto

Jacó D Domingues

Caetano M Ranieri

Kaike S Albuquerque

...

2023/12/13

MADCS: A Middleware for Anomaly Detection and Content Sharing for Blockchain-Based Systems

Journal of Network and Systems Management

Alef Vinicius Cardoso e Silva

Felipe Taliar Giuntini

Caetano Mazzoni Ranieri

Rodolfo Ipolito Meneguette

Rodrigo Dutra Garcia

...

2023/7

Machine Learning for Enhanced Credit Risk Assessment: An Empirical Approach

Journal of Risk and Financial Management

Nicolas Suhadolnik

Jo Ueyama

Sergio Da Silva

2023/11/27

Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey

Fatemeh Mosaiyebzadeh

Seyedamin Pouriyeh

Reza M Parizi

Quan Z Sheng

Meng Han

...

2023/6/16

A module-based framework to emotion recognition by speech: a case study in clinical simulation

Journal of Ambient Intelligence and Humanized Computing

Luana Okino Sawada

Leandro Yukio Mano

José Rodrigues Torres Neto

Jó Ueyama

2023/11

FLORAS: urban flash-flood prediction using a multivariate model

Applied Intelligence

Lucas AV Brito

Rodolfo I Meneguette

Robson E De Grande

Caetano M Ranieri

Jó Ueyama

2023/6

Evaluating Conveyor Belt Health With Signal Processing Applied to Inertial Sensing

Saulo Neves Matos

Otávio Ferracioli Coletti

Fernando Ugucioni Filho

Ricardo CCL de Carvalho

Thomas VB Pinto

...

2023/10/25

A blockchain-based protocol for tracking user access to shared medical imaging

Future Generation Computer Systems

Erikson J Aguiar

Alyson J Dos Santos

Rodolfo I Meneguette

Robson De Grade

Jó Ueyama

2022/4/21

Exploiting smart contracts in PBFT-based blockchains: A case study in medical prescription system

Computer Networks

Rodrigo D Garcia

Gowri Ramachandran

Jó Ueyama

2022/7/5

A Blockchain-based Data Governance with Privacy and Provenance: a case study for e-Prescription

Rodrigo Dutra Garcia

Gowri Sankar Ramachandran

Raja Jurdak

Jo Ueyama

2022/5/2

Federated system for transport mode detection

Energies

Iago C Cavalcante

Rodolfo I Meneguette

Renato H Torres

Leandro Y Mano

Vinícius P Gonçalves

...

2022/12/6

Providing a greater precision of Situational Awareness of urban floods through Multimodal Fusion

Expert Systems with Applications

Thiago Aparecido Gonçalves da Costa

Rodolfo Ipolito Meneguette

Jó Ueyama

2022/2/1

Blockchain-aided and privacy-preserving data governance in multi-stakeholder applications

IEEE Transactions on Network and Service Management

Rodrigo Dutra Garcia

Gowri Sankar Ramachandran

Raja Jurdak

Jo Ueyama

2022/11/28

See List of Professors in Jo Ueyama University(Universidade de São Paulo)