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Found 10 papers, 3 papers with code
What's in the Black Box? The False Negative Mechanisms Inside Object Detectors
Using this framework, we investigate why Faster R-CNN and RetinaNet fail to detect objects in benchmark vision datasets and robotics datasets.
Exploring Deep Neural Networks on Edge TPU
Based on the use of a joint-time-frequency data representation, also known as spectrogram, we explore the trade-off between classification performance and the energy consumed for inference.
Exploring Edge TPU for Network Intrusion Detection in IoT
The focus of this paper is the exploration of deep learning-based NIDS at the edge of IoT, and in particular the computational and energy efficiency.
Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation
The key results of this paper is that the joint time-frequency data representation, even when used in conjunction with a relatively basic neural network classifier, can outperform the best cattle activity classifiers reported in the literature.
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
Research on speech processing has traditionally considered the task of designing hand-engineered acoustic features (feature engineering) as a separate distinct problem from the task of designing efficient machine learning (ML) models to make prediction and classification decisions.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
A Graph Model with Indirect Co-location Links
However, they do not account for indirect interactions that can transmit spreading items to individuals who visit the same locations at different times but within a certain time limit.
Social and Information Networks Physics and Society
MOF-BC: A Memory Optimized and Flexible BlockChain for Large Scale Networks
To allow for the removal of stored transactions, all keys would need to be stored which complicates key management and storage.
Cryptography and Security
LSB: A Lightweight Scalable BlockChain for IoT Security and Privacy
We explore LSB in a smart home setting as a representative example for broader IoT applications.
Cryptography and Security
Temporal Embedding in Convolutional Neural Networks for Robust Learning of Abstract Snippets
The prediction of periodical time-series remains challenging due to various types of data distortions and misalignments.
Genetic Programming for Smart Phone Personalisation
We introduce the concept of collaborative smart phone personalisation through the GP Island Model, in order to exploit shared context among co-located phone users and reduce convergence time.
