Research publications: Recent submissions
Now showing items 981-1000 of 23694
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Classification of compact radio sources in the Galactic plane with supervised machine learning
(2024-04-01)Generation of science-ready data from processed data products is one of the major challenges in next-generation radio continuum surveys with the Square Kilometre Array (SKA) and its precursors, due to the expected data ... -
Achieving Optimal Performance and Quality in LAN and WLAN for Mission-Critical Applications
(Springer Nature, 2024-02-18)Voice Over Internet Protocol (VoIP) properties are vital for its reliability in mission-critical applications. This research aims to find network topology, call signalling and voice codecs property combinations that meet ... -
Glass ceiling in the Nigerian Banking sector: evidence from senior male and female employees
(2024-03-31)The banking and finance sector is a major employer in many countries, especially in emerging economies.Decisions made in the sector have significant implication on the economy. There is evidence that decisionmaking has ... -
Multi-Agent Context Learning Strategy for Interference-Aware Beam Allocation in mmWave Vehicular Communications
(2024-02-13)Millimeter wave (mmWave) has been recognized as one of key technologies for 5G and beyond networks due to its potential to enhance channel bandwidth and network capacity. The use of mmWave for various applications including ... -
A global compilation of diatom silica oxygen isotope records from lake sediment – trends and implications for climate reconstruction
(2024-02-26)Oxygen isotopes in biogenic silica (δ 18OBSi) from lake sediments allow for quantitative reconstruction of past hydroclimate and proxy-model comparison in terrestrial environments. The signals of individual records have ... -
The importance of recovery and staffing on midwives’ emotional wellbeing: a UK national survey
(2024-05)Background: There is currently a gap in the evidence on how working practices, such as the ability to take rest breaks, finish on time or intershift recovery influence outcomes. Aim: The aim of this study was to explore ... -
Machine Learning based Beamwidth Adaptation for mmWave Vehicular Communications
(Institute of Electrical and Electronics Engineers (IEEE), 2024-02-12)The incorporation of mmWave technology in vehicular networks has unlocked a realm of possibilities, propelling the advancement of autonomous vehicles,enhancing interconnectedness, and facilitating communication for intelligent ... -
Machine Learning Based Diagnostic Paradigm in Viral and Non-Viral Hepatocellular Carcinoma
(2024-02-23)Viral and non-viral hepatocellular carcinoma (HCC) is becoming predominant in developing countries. A major issue linked to HCC-related mortality rate is the late diagnosis of cancer development. Although traditional ... -
The effectiveness of psychodynamic therapy in an NHS psychotherapy service: outcomes for service-users with complex presentations
(2024-02-19)Complex and enduring mental health problems require greater treatment resources, usually in the form of multidisciplinary support, including providing psychological therapies. This paper reports on an NHS, tertiary-level ... -
6G secure quantum communication: a success probability prediction model
(2024-05)The emergence of 6G networks initiates significant transformations in the communication technology landscape. Yet, the melding of quantum computing (QC) with 6G networks although promising an array of benefits, particularly ... -
“The whole thing is beyond stress”: Family perspectives on the experience of hospitalisation through to discharge for individuals with severe learning disabilities and complex needs
(2024-03-29)Background People with severe learning disabilities and complex needs are more likely to experience delayed discharge from hospital; however, there is little research into their experience in hospital and as they move out ... -
Assessing the role of biomarker feedback in a 12-week community weight management programme among overweight men: a pilot study
(2024-03-28)Background The primary objective of this study was to examine the feasibility of recruitment, retention, and delivery of biomarker feedback among men partaking in Shape Up, a physical activity for health programme. ... -
Modeling and Calibration of Gaia, Hipparcos, and Tycho-2 astrometric data for the detection of dark companions
(2024-03-28)Hidden within the Gaia satellite’s multiple data releases lies a valuable cache of dark companions. To facilitate the efficient and reliable detection of these companions via combined analyses involving the Gaia, Hipparcos, ... -
Identifying Hot Topic Trends in Streaming Text Data Using News Sequential Evolution Model Based on Distributed Representations
(2023-09-07)Hot topic trends have become increasingly important in the era of social media, as these trends can spread rapidly through online platforms and significantly impact public discourse and behavior. As a result, the scope of ... -
A Lightweight Deep Learning-Based Model for Tomato Leaf Disease Classification
(2023-12-26)Tomato leaf diseases significantly impact crop production, necessitating early detection for sustainable farming. Deep Learning (DL) has recently shown excellent results in identifying and classifying tomato leaf diseases. ... -
Behind the Bait: Delving into PhishTank's hidden data
(2024-02-28)Phishing constitutes a form of social engineering that aims to deceive individuals through email communication. Extensive prior research has underscored phishing as one of the most commonly employed attack vectors for ... -
PyDTS: A Python Toolkit for Deep Learning Time Series Modelling
(2024-03-31)In this article, the topic of time series modelling is discussed. It highlights the criticality of analysing and forecasting time series data across various sectors, identifying five primary application areas: denoising, ... -
Corticosteroid injections for non-spinal musculoskeletal conditions. Consideration of local and systemic adverse drug reactions and side effects
(2023-11-28)Following specialist training, physiotherapists in some countries, such as the United Kingdom and Norway perform landmark, and ultrasound guided, soft tissue and joint injections for a wide range of musculoskeletal conditions. ... -
Assessing deprescribing tools for implementation in care homes: A qualitative study of the views of care home staff
(2023-12-16)BACKGROUND: Care home residents often experience polypharmacy (defined as taking five or more regular medicines). Therefore, we need to ensure that residents only take the medications that are appropriate or provide value ... -
GPU-based Parallel Technique for Solving the N-Similarity Problem in Textual Data Mining
(Institute of Electrical and Electronics Engineers (IEEE), 2024-03-04)An important issue in data mining and information retrieval is the problem of multiple similarity or n-similarity. This problem entails finding a group of n data points with the highest similarity within a large dataset. ...