Browsing by Title
Now showing items 13212-13231 of 24095
-
MAC protocol requirements for OFDMA-PONs
(Institute of Electrical and Electronics Engineers (IEEE), 2012)This paper provides specifications of the parameters defining the design of medium access control (MAC) protocols for orthogonal frequency division multiple access (OFDMA) passive optical networks (PONs). A dynamic bandwidth ... -
Machinability of Bio-composites: Challenges and Prospects
(2nd Conference_FLOWER Project, Advanced Biobased Materials and Composites for Engineering Applications, University of Portsmouth, England, UK, 2020-09-17)The exceptional inherent properties of natural fibre reinforced polymer (FRP) composite materials and their bio-based hybrid counterparts have contributed to extensive engineering applications. These properties include, ... -
Machinability of natural-fibre-reinforced polymer composites: Convectional vs ultrasonically-assisted machining
(2019-01-31)Natural-fibre-reinforced polymer (NFRP) composites are becoming a viable alternative to synthetic fibre based composites in many industrial applications. Machining is often necessary to facilitate assembly of parts in a ... -
Machine code and metaphysics : a perspective on software engineering
(2016-01)A major, but too-little-considered problem for Software Engineering (SE) is a lack of consensus concerning Computer Science (CS) and how this relates to developing unpredictable computing technology. We consider some ... -
Machine learning and computational design
(2020-05)The use of computers in design is substantially different today from what it was only 30 years ago, and light-years ahead of how things were designed before computers entered the scene 60 years ago. This article discusses ... -
A machine learning approach for predicting critical factors determining adoption of off-site construction in Nigeria
(2022-12-12)Purpose: Several factors influence OSC adoption, but extant literature did not articulate the dominant barriers or drivers influencing adoption. Therefore, this research has not only ventured into analyzing the core ... -
A machine learning approach to mapping baryons on to dark matter haloes using the EAGLE and C-EAGLE simulations
(2022-02-01)High-resolution cosmological hydrodynamic simulations are currently limited to relatively small volumes due to their computational expense. However, much larger volumes are required to probe rare, overdense environments, ... -
Machine Learning Approaches for Traffic Flow Forecasting
(2019-10-23)Intelligent Transport Systems (ITS) as a field has emerged quite rapidly in the recent years. A competitive solution coupled with big data gathered for ITS applications needs the latest AI to drive the ITS for the smart ... -
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 ... -
Machine learning for energy performance prediction at the design stage of buildings
(2022-02-28)The substantial amount of energy consumption in buildings and the associated adverse effects prompts the importance of understanding building energy efficiency. Developing an energy prediction model with high accuracy is ... -
Machine Learning in Communication Systems and Networks
(2024-03-17) -
Machine Learning in Communication Systems and Networks
(MDPI Multidisciplinary Digital Publishing Institute, 2024-04-18)Recent advances in machine learning, coupled with the availability of powerful computing platforms, have garnered significant attention from academic, research, and industry communities. Machine learning is considered a ... -
Machine learning models for stream-level predictions using readings from satellite and ground gauging stations
(2024-04-19)While the accuracy of flood predictions is likely to improve with increasing gauging station networks and robust radar coverage, challenges arise when such sources are spatially limited [1]. For instance, severe rainfall ... -
Machine Learning Recognition Models in Construction: A Systematic Review
(Obafemi Awolowo University, Ile-Ife, 2021-07-08)Due to its growing acceptance and success in many sectors, there is a rapidly rising adoption and application of machine learning recognition models within construction. As a result of this adoption and usage surge, there ... -
A machine learning-based monitoring system for attention and stress detection for children with Autism Spectrum Disorders
(ACM Press, 2022-01-11)The majority of children with Autism Spectrum Disorders (ASD) have faced difficulties in sensory processing, which affect their ability of effective attention and stress management. Children with ASD also have unique ... -
A machine-learning classifier for LOFAR radio galaxy cross-matching techniques
(2022-08-30)New-generation radio telescopes like LOFAR are conducting extensive sky surveys, detecting millions of sources. To maximize the scientific value of these surveys, radio source components must be properly associated into ... -
A machine-learning method for identifying multi-wavelength counterparts of submillimeter galaxies : training and testing using AS2UDS and ALESS
(2018-07-27)We describe the application of supervised machine-learning algorithms to identify the likely multiwavelength counterparts to submillimeter sources detected in panoramic, single-dish submillimeter surveys. As a training ...