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Found 10 papers, 0 papers with code
Source Feature Compression for Object Classification in Vision-Based Underwater Robotics
New efficient source feature compression solutions are proposed based on a two-stage Walsh-Hadamard Transform (WHT) for Convolutional Neural Network (CNN)-based object classification in underwater robotics.
Configuration Learning in Underwater Optical Links
Specifically, this configuration learning problem is investigated in an underwater optical communication system with signal processing performance metric of the physical-layer communication throughput.
On-board Deep-learning-based Unmanned Aerial Vehicle Fault Cause Detection and Identification
With the increase in use of Unmanned Aerial Vehicles (UAVs)/drones, it is important to detect and identify causes of failure in real time for proper recovery from a potential crash-like scenario or post incident forensics analysis.
Transform-Domain Classification of Human Cells based on DNA Methylation Datasets
DNA methylation profile variations are observed in human cells with the progression of disease stages, and the proposal is based on this DNA methylation variation to classify normal and disease cells including cancer cells.
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data
In this paper, we present a novel multi-task learning based approach that leverages domain-knowledge (maneuver labels) for anomaly detection in driving data.
Argus: Smartphone-enabled Human Cooperation via Multi-Agent Reinforcement Learning for Disaster Situational Awareness
The agents are involved in capturing the images of the scene using their smartphones (or on-board cameras in case of drones) as directed by the MARL algorithm.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
HCFContext: Smartphone Context Inference via Sequential History-based Collaborative Filtering
Furthermore, since privacy is a concern in collaborative filtering, a privacy-preserving method is proposed to derive HCFContext model parameters based on the concepts of homomorphic encryption.
CollabLoc: Privacy-Preserving Multi-Modal Localization via Collaborative Information Fusion
Mobile phones provide an excellent opportunity for building context-aware applications.
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction
To address these challenges, a cloud-based BCI system for the analysis of this big EEG data is presented.
Automatic and Manual Segmentation of Hippocampus in Epileptic Patients MRI
The hippocampus is a seminal structure in the most common surgically-treated form of epilepsy.
