Clifford wavelets for fetal ECG extraction

Analysis of the fetal heart rate during pregnancy is essential for monitoring the proper development of the fetus . The challenge lies in the extraction ofthe fetal ECG from the mother’s ECG during pregnancy . This approach has theadvantage of being a reliable and non-invasive technique .…

HexDom Polycube Based Hexahedral Dominant Mesh Generation

Given the boundary representation of a solid model, HexDom creates a hex-dominant mesh by using a semi-automated polycube-based mesh generation method . The resulting hexahedral dominant mesh includeshexahedra, tetrahedra and triangular prisms . We also apply our software to a number of other complex models totest their robustness .…

Simplicial Complex Representation Learning

Simplicial complexes form an important class of topological spaces that are frequently used to in many applications areas such as computer-aided design, computer graphics, and simulation . The representation learning on graphs, whichare just 1-d simplicial complexes, has witnessed a great attention and success in the past few years .…

A Framework for Measuring Compositional Inductive Bias

We devise corruptedcompositional grammars that probe for limitations in the compositionalinductive bias of frequently used models . We propose a hierarchicalmodel which might show an inductive bias towards relocatable atomic groups oftokens, thus potentially encouraging the emergence of words . We experiment withprobing for the .…

Improving Zero Shot Entity Retrieval through Effective Dense Representations

We propose a simple approach that efficiently embeds mention-entity-entitypairs in dense space through a BERT-based bi-encoder . We achieve a new state-of-the-art 84.28% accuracy on top-50 candidates on the Zeshel dataset, compared to the previous 82.06% on the top-64 of (Wu et al.,…

Analysis and Assessment of Controllability of an Expressive Deep Learning based TTS system

In this paper, we study the controllability of an Expressive TTS system trained on a dataset for a continuous control . The dataset is the Blizzard 2013dataset based on audiobooks read by a female speaker containing a greatvariability in styles and expressiveness .…

Putting Humans in the Natural Language Processing Loop A Survey

There is a growing research body of Human-in-the-loop (HITL)NLP frameworks that continuously integrate human feedback to improve the model itself . HITL NLP research is nascent but multifarious — solving various NLPproblems, collecting diverse feedback from different people, and applyingdifferent methods to learn from collected feedback .…

Perspectives and Prospects on Transformer Architecture for Cross Modal Tasks with Language and Vision

Transformer architectures have brought about fundamental changes to the computational linguistic field . Success implies drastic changes incross-modal tasks with language and vision . We discuss its current limitations and speculate upon some of the prospects that we find imminent .…

Utilising Flow Aggregation to Classify Benign Imitating Attacks

Cyber-attacks continue to grow, both in terms of volume and sophistication . This is aided by an increase in available computational power, expanding attacksurfaces, and advancements in the human understanding of how to make attacksundetectable . Machine learning is utilised to defend against these attacks .…

Selective Encryption of the Versatile Video Coding Standard

Versatile video coding (VVC) is the next generation video coding standard developed by the joint video experts team (JVET) and released in July 2020 . VVCintroduces several new coding tools providing a significant coding gain over the HEVC standard . A new algorithm is proposed to encrypt informat-compliant and constant bitrate the transform coefficients (TCs) together with other syntax elements at the level of the entropy encoder .…

On an innovative architecture for digital immunity passports and vaccination certificates

With the COVID-19 pandemic entering a second phase, there is an increasing expectation by people to return to a more familiar, normal life . The debate for an immunity passport that would enable individuals to safely enter theireveryday social life, work and transportation, both for themselves and the community is on .…

Convolution Neural Network Hyperparameter Optimization Using Simplified Swarm Optimization

Simplified SwarmOptimization (SSO) on the hyperparameter optimization of LeNet models . The experimental resultsshow that the proposed algorithm has higher accuracy than the original LeNetmodel . The proposed algorithm can also be applied to other CNN architectures . The contribution of the study is to provide users with a simplerway to get better results with the existing model.,…

Meta Learning Black Box Population Based Optimizers

The no free lunch theorem states that no model is better suited to every problem . This paper addresses this issue by proposing the use of meta-learning to infer population-based black-box optimizers that canautomatically adapt to specific classes of problems .…

RAN Slicing Performance Trade offs Timing versus Throughput Requirements

The coexistence of diverse services with heterogeneous requirements is amajor component of 5G . This calls for spectrum slicing: efficient sharing of wireless resources among diverse users . We evaluate the trade-offs between between the achievable throughput of broadband users and the timing requirement of intermittent users under three access modes: Orthogonal Multiple Access (OMA), Non-OrthogonalMultiple Access (NOMA) and POMA .…

Towards Automated Benchmark Support for Multi Blockchain Interoperability Facilitating Platforms

Since the introduction of the first Bitcoin blockchain in 2008, differentdecentralized blockchain systems have emerged with public and private accessibility . It has been widelyacknowledged that no single blockchain network will fit all use cases . Inrealization of this multi-blockchain paradigm, initiatives in buildingInteroperability-Facilitating Platforms (IFPs) that aim at bridging differentblockchains have come to the fore .…

An Ultra low Power RNN Classifier for Always On Voice Wake Up Detection Robust to Real World Scenarios

We present an ultra-low power (ULP) Recurrent Neural Network(RNN) based classifier for an always-on voice Wake-Up Sensor (WUS) The purpose of our sensor is to bring down by at least a factor 100 the power consumption in backgroundnoise of speech processing algorithms such as Automatic Speech Recognition, Keyword Spotting, Speaker Verification, etc.…

Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi Speaker Multi Style Text to Speech

The few-shot multi-speaker multi-style voice cloning task is to synthesizeutterances with voice and speaking style similar to a reference speaker given only a few reference samples . The FastSpeech 2 model combined with both pretrained and learnable speaker representations shows greatgeneralization ability on few-shots speakers .…

Incorporating Wireless Communication Parameters into the E Model Algorithm

ITU-T Recommendation G.107.107 describes the E-model algorithm, which is acomputational model developed for network planning purposes focused onnarrowband (NB) networks . It does not consider wireless techniques used in these networks, such asMultiple-Input-Multiple-Output (MIMO) systems . The main objective of this study is to topropose a general methodology to incorporate wireless network parameters intothe NB and WB E-Model algorithms .…

On the experiences of adopting automated data validation in an industrial machine learning project

Data errors are a common challenge in machine learning (ML) projects and generally cause significant performance degradation in ML-enabledsoftware systems . Data validation process demands significant engineering resources for tool development and maintenance . We alsopropose a data validation framework (DVF) for systematizing the adoption of adata validation process .…

We ll Fix It in Post What Do Bug Fixes in Video Game Update Notes Tell Us

Bugs that persist into releases of video games can have negative impacts on developers and users . We examine 12,122 bug fixes from 723 updates for 30 popular games on the Steam platform . We find that information bugs appear most frequently in updates, while Crash bugs recur the most frequently and are often treated as more severe than other bug types .…

Quartermaster A Tool for Modeling and Simulating System Degradation

There are patterns and techniques which software engineers use to ensure their systems gracefully degrade . But tuning and configuration is hard to get right and it is expensive to explore possible changes to components andtechniques in complex systems . To fill these gaps, we propose Quartermaster to model and simulate systems and fault-tolerant techniques .…