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Segmentation of Brain Tumors Using Three-Dimensional Convolutional Neural Network on MRI Images 3D MedImg-CNN
We consider the problem of fully automatic brain tumor segmentation in MR images containing glioblastomas. We propose a three Dimensional Convolutional Neural Network (3D MedImg-CNN) approach which achieves high performance...
Transient Noise Reduction Using a Deep Recurrent Neural Network
A deep recurrent neural network (RNN) for reducing transient sounds was developed and its effects on subjective speech intelligibility and listening comfort were investigated. The RNN was trained using sentences spoken with...
Development of an Automated Pain Facial Expression Detection System for Sheep (Ovis Aries).
The use of technology to optimize the production and management of each individual animal is becoming key to good farming. There is a need for the real-time systematic detection and control of disease in animals in order to...
Economic support during the COVID crisis. Quantitative easing and lending support schemes in the UK

We investigate how UK bank business lending responded to the simultaneous use of quantitative easing, leverage ratio capital requirements, and government COVID lending support schemes. We find no evidence that the Brexit wave...

Blockchain in Healthcare
Blockchain, an immutable ledger or database shared by peers in a network, is comprised of records of events or transactions that are appended chronologically. Introduced via Bitcoin to the world, blockchain is increasingly being...
Imputation versus prediction
Imputation is a powerful statistical method that is distinct from the predictive modelling techniques more commonly used in drug discovery. Imputation uses sparse experimental data in an incomplete dataset to predict missing...
Resonance Frequency Selective Electromagnetic Actuation for High-Resolution Vibrotactile Displays
Vibrotactile displays offer significant potential for conveying information through the sense of touch in a wide variety of applications. Spatial resolution of these displays is limited by the large size of actuators. We present...
The impact of quantitative easing on UK bank lending

The growing proportion of UK bank lending to the financial sector reached a peak in 2007 just before the onset of the Global Financial Crisis (GFC). This marks a trend in the dwindling amount of bank lending to private sector...

Multi-Pattern GPU Accelerated Collision-Less Rabin-Karp for NIDS
In the domain of network communication, network intrusion detection systems (NIDS) play a crucial role in maintaining security by identifying potential threats. NIDS relies on packet inspection, often using rule-based databases...
Distributional Semantic Model Based on Convolutional Neural Network for Arabic Textual Similarity
The problem addressed is to develop a model that can reliably identify whether a previously unseen document pair is paraphrased or not. Its detection in Arabic documents is a challenge because of its variability in features and...
Resonance Frequency Selective Electromagnetic Actuation for High-Resolution Vibrotactile Displays
Vibrotactile displays offer significant potential for conveying information through the sense of touch in a wide variety of applications. Spatial resolution of these displays is limited by the large size of actuators. We present...
Economic support during the COVID crisis. Quantitative easing and lending support schemes in the UK

We investigate how UK bank business lending responded to the simultaneous use of quantitative easing, leverage ratio capital requirements, and government COVID lending support schemes. We find no evidence that the Brexit wave...

Predicting Student Performance to Improve Academic Advising Using the Random Forest Algorithm
The Covid-19 pandemic constrained higher education institutions to switch to online teaching, which led to major changes in students’ learning behavior, affecting their overall performance. Thus, students’ academic performance...
Towards the development of sustainable concrete incorporating waste tyre rubbers

The dramatic increase in the demand for vehicle tyres and consequently the rapid rise in associated waste rubber has been a concern for several decades. Rubber disposal has adverse effects on the environment, human health and...

The impact of quantitative easing on UK bank lending

The growing proportion of UK bank lending to the financial sector reached a peak in 2007 just before the onset of the Global Financial Crisis (GFC). This marks a trend in the dwindling amount of bank lending to private sector...

Mechanism of glycoside hydrolysis
Computational simulations have been performed using hybrid quantum-mechanical/molecular-mechanical potentials to investigate the catalytic mechanism of the retaining endo-beta-1, 4-xylanase (BCX) from B. circulans....
Multiple drawing multi-colour urns by stochastic approximation

A classical Pólya urn scheme is a Markov process where the evolution is encoded by a replacement matrix (Ri, j)1 ≤ i, j ≤ d. At every discrete time-step, we draw a ball uniformly at random, denote its colour c, and replace it...

Imputation versus prediction
Imputation is a powerful statistical method that is distinct from the predictive modelling techniques more commonly used in drug discovery. Imputation uses sparse experimental data in an incomplete dataset to predict...
Origins of structural and electronic transitions in disordered silicon.
Structurally disordered materials pose fundamental questions1-4, including how different disordered phases ('polyamorphs') can coexist and transform from one phase to another5-9. Amorphous silicon has been extensively studied;...

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