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04/20/2023
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning
In this paper we present a novel application of detecting fruit picker a...
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01/09/2023
A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data
The increasingly wide usage of location aware sensors has made it possib...
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12/05/2022
An operational framework to automatically evaluate the quality of weather observations from third-party stations
With increasing number of crowdsourced private automatic weather station...
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11/08/2022
Quality Control in Weather Monitoring with Dynamic Linear Models
Decisions in agriculture are frequently based on weather. With an increa...
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10/14/2022
Smart Headset, Computer Vision and Machine Learning for Efficient Prawn Farm Management
Understanding the growth and distribution of the prawns is critical for ...
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10/04/2022
Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective
Data-driven decision making is becoming an integral part of manufacturin...
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05/12/2022
Deep Learning for Prawn Farming: Forecasting and Anomaly Detection
We present a decision support system for managing water quality in prawn...
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04/29/2021
Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey
Robotic applications nowadays are widely adopted to enhance operational ...
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05/28/2020
HazeDose: Design and Analysis of a Personal Air Pollution Inhaled Dose Estimation System using Wearable Sensors
Nowadays air pollution becomes one of the biggest world issues in both d...
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02/26/2020
Enforcing Mean Reversion in State Space Models for Prawn Pond Water Quality Forecasting
The contribution of this study is a novel approach to introduce mean rev...
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02/26/2020
Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction
The time it takes for a classifier to make an accurate prediction can be...
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02/25/2020
Sequence-to-Sequence Imputation of Missing Sensor Data
Although the sequence-to-sequence (encoder-decoder) model is considered ...
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02/11/2020
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting
Recurrent and convolutional neural networks are the most common architec...
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11/22/2017
