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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...
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...
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...
From a Weightless Bent Wire Coat Hanger to Shell Structures via the Beltrami Stress Tensor
A weightless wire coat hanger bent out of its plane is one of the simplest possible structures. All it does is transfer a force and moment around a closed space curve. Assembling a family of coat hangers enables us to build up...
Translanguaging in ESL Classroom
This study explored perception and attitude of university teachers towards practicing translanguaging in English language classrooms in Pakistan. Using a mixed-method approach, ESL teachers from Government College University...
Reverse Traceability Framework for Identifying Liability of Crashes for Self-Driving Vehicles Using Blockchains
Modern vehicles are increasingly having a higher level of technology and automation. Humans are increasingly becoming dependent on these modern technologies to take decisions related to their lives and safety. Such an increasing...
Special Needs Classroom Assessment Using a Sign Language Communicator (CASC) Based on Artificial Intelligence (AI) Techniques
This research focuses on deaf students in the United Arab Emirates. The proposed classroom assessment using sign language communicator (CASC) for special needs students (SN) in the United Arab Emirates is based on artificial...
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...
Sliding to predict
PURPOSE: Technical advancements have been part of modern medical solutions as they promote better surgical alternatives that serve to the benefit of patients. Particularly with cardiovascular surgeries, robotic surgical systems...
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...
From a Weightless Bent Wire Coat Hanger to Shell Structures via the Beltrami Stress Tensor
A weightless wire coat hanger bent out of its plane is one of the simplest possible structures. All it does is transfer a force and moment around a closed space curve. Assembling a family of coat hangers enables us to build up...
Factors Affecting Customer Readiness to Trust Chatbots in an Online Shopping Context
This study expands the limited research on chatbots by integrating factors from the unified technology acceptance and use of technology (UTAUT) model and the technology readiness index (TRI) framework to explain individuals'...
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...

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...
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...

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