Caetano Mazzoni Ranieri

About Caetano Mazzoni Ranieri

Caetano Mazzoni Ranieri, With an exceptional h-index of 8 and a recent h-index of 7 (since 2020), a distinguished researcher at Universidade de São Paulo, specializes in the field of Activity recognition, Deep learning, Internet of Things, Machine learning, Robotics.

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

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

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

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

Evaluating Conveyor Belt Health With Signal Processing Applied to Inertial Sensing

Artificial neural networks applied to time series for flood prediction

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

A neurorobotics approach to behaviour selection based on human activity recognition

A Novel Mechanism for Misbehaviour Detection in Vehicular Networks

Caetano Mazzoni Ranieri Information

University

Position

(USP)

Citations(all)

182

Citations(since 2020)

164

Cited By

39

hIndex(all)

8

hIndex(since 2020)

7

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Caetano Mazzoni Ranieri Skills & Research Interests

Activity recognition

Deep learning

Internet of Things

Machine learning

Robotics

Top articles of Caetano Mazzoni Ranieri

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

Applied Intelligence

2024/4/22

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

Engineering Applications of Artificial Intelligence

2024/1/1

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

IEEE Transactions on Instrumentation and Measurement

2023/12/13

Evaluating Conveyor Belt Health With Signal Processing Applied to Inertial Sensing

2023/10/25

Caetano Mazzoni Ranieri
Caetano Mazzoni Ranieri

H-Index: 4

Artificial neural networks applied to time series for flood prediction

2023/9/25

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

2023/9/25

Caetano Mazzoni Ranieri
Caetano Mazzoni Ranieri

H-Index: 4

A neurorobotics approach to behaviour selection based on human activity recognition

Cognitive Neurodynamics

2023/8

A Novel Mechanism for Misbehaviour Detection in Vehicular Networks

IEEE Access

2023/7/4

Caetano Mazzoni Ranieri
Caetano Mazzoni Ranieri

H-Index: 4

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

Journal of Network and Systems Management

2023/7

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

2023/6/16

FLORAS: urban flash-flood prediction using a multivariate model

Applied Intelligence

2023/6

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

Procedia Computer Science

2023/1/1

Caetano Mazzoni Ranieri
Caetano Mazzoni Ranieri

H-Index: 4

Liang Zhao
Liang Zhao

H-Index: 7

Image Processing for Flood Detection and Prediction

2022

Caetano Mazzoni Ranieri
Caetano Mazzoni Ranieri

H-Index: 4

Memory-based pruning of deep neural networks for IoT devices applied to flood detection

Sensors

2021/11/12

A data-driven biophysical computational model of Parkinson’s disease based on marmoset monkeys

IEEE access

2021/8/30

Neuro4PD: An initial neurorobotics model of parkinson's disease

Frontiers in Neurorobotics

2021/7/1

Activity recognition for ambient assisted living with videos, inertial units and ambient sensors

Sensors

2021/1/24

Activity recognition and bioinspired approaches for robotics in intelligent environments

2021

Caetano Mazzoni Ranieri
Caetano Mazzoni Ranieri

H-Index: 4

Unveiling Parkinson’s disease features from a primate model with deep neural networks

2020/7/19

Uncovering human multimodal activity recognition with a deep learning approach

2020/7/19

See List of Professors in Caetano Mazzoni Ranieri University(Universidade de São Paulo)

Co-Authors

academic-engine