Civil and Environmental Engineering: Recent submissions
Now showing items 181-200 of 851
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Modeling of permeability impairment dynamics in porous media: A machine learning approach
( Elsevier , 2023 , Article)The prediction of clogging and permeability impairment dynamics in porous media is crucial for the optimization of various industrial and natural processes. This paper presents a novel machine learning-based approach for ... -
Development of a stacked machine learning model to compute the capability of ZnO-based sensors for hydrogen detection
( Elsevier , 2024 , Article)Zinc oxide (ZnO) nanocomposite sensors decorated with various dopants are popular tools for detecting even low hydrogen (H2) concentrations. The nanocomposite's chemistry, temperature, and H2 concentration impact the success ... -
Mitigation of urban voids in traditional neighborhoods: The case of the Al-Najada zone in Doha, Qatar
( Elsevier , 2023 , Article)Urban voids and leftover spaces challenge the urban development of cities and result in land vacancy and other spatial planning issues. Such spaces have great potential for innovative intervention through piece-by-piece ... -
Explainable deep learning model for automatic mulberry leaf disease classification
( Frontiers Media SA , 2023 , Article)Mulberry leaves feed Bombyx mori silkworms to generate silk thread. Diseases that affect mulberry leaves have reduced crop and silk yields in sericulture, which produces 90% of the world’s raw silk. Manual leaf disease ... -
Application of Green Polymeric Nanocomposites for Enhanced Oil Recovery by Spontaneous Imbibition from Carbonate Reservoirs
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)This study experimentally investigates the effect of green polymeric nanoparticles on the interfacial tension (IFT) and wettability of carbonate reservoirs to effectively change the enhanced oil recovery (EOR) parameters. ... -
Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Every one of us has a unique manner of communicating to explore the world, and such communication helps to interpret life. Sign language is the popular language of communication for hearing and speech-disabled people. When ... -
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Colorectal polyps in the colon or rectum are precancerous growths that can lead to a more severe disease called colorectal cancer. Accurate segmentation of polyps using medical imaging data is essential for effective ... -
Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)The human liver exhibits variable characteristics and anatomical information, which is often ambiguous in radiological images. Machine learning can be of great assistance in automatically segmenting the liver in radiological ... -
Repair of Heat-Damaged RC Beams Using Micro-concrete Modified with Carbon Nanotubes
( Korean Society of Civil Engineers , 2021 , Article)This paper investigates the use of micro-concrete modified with carbon nanotubes (CNTs) for the repair of heat-damaged reinforced concrete (RC) beams. Ten RC beams were cast and then subjected to elevated temperature of ... -
Effect of bond enhancement using carbon nanotubes on flexural behavior of RC beams strengthened with externally bonded CFRP sheets
( Springer Nature , 2022 , Article)This paper studied the effect of incorporation of carbon nanotubes (CNTs) in carbon fiber reinforced polymer (CFRP) on strengthening of reinforced concrete (RC) beams. The RC beams were prepared, strengthened in flexure ... -
Development of sustainable geopolymer composites for repair application: Workability and setting time evaluation
( Elsevier , 2023 , Article)One of the most used construction materials worldwide is concrete. It has a lot of advantages over the other construction materials. However, the production process of concrete produces a huge amount of carbon dioxide. ... -
Effect of carbon nanotubes on the bonding mechanism of non-corrosive reinforcements to concrete
( Elsevier , 2024 , Article)This study aimed to assess the impact of waterborne pre-dispersed multiwall carbon nanotubes (MWCNTs) at a concentration of 0.2 wt % on the bond strength between concrete and non-corrosive reinforcements, including stainless ... -
Evaluation of traffic noise in the state of qatar
( CRC Press/Balkema , 2018 , Conference)Mitigating traffic noise is a major concern for transportation departments worldwide. A number of noise mitigation procedures are recognized to control noise emitting from traffic stream. However, noise reduction potential ... -
Characterisation of air voids in w-fam samples using x-ray ct imaging
( CRC Press/Balkema , 2018 , Conference)This study documents the use of high-resolution X-Ray Computed Tomography to characterise air void distribution in Fine Aggregate Mixtures (FAM) prepared using Warm Mix Asphalt (WMA) additives (W-FAM). Specimens were imaged ... -
Characterisation of fatigue resistance of alternative pavement design for the state of Qatar
( Taylor and Francis - Balkema , 2014 , Conference)Asphalt mixtures have been designed in the past in the State of Qatar to safeguard against permanent deformation associated with high temperatures. These mixtures are typically designed to have low content of unmodified ... -
Assessment of linear and nonlinear viscoelastic responses of warm-mix asphalt binders
( CRC Press/Balkema , 2015 , Conference)Warm-Mix Asphalt (WMA) technology is widely used in the paving industry due to its impact on reduction of asphalt mixing and compaction temperatures. Characterisation of WMA in the past had focused on evaluating the linear ... -
Fatigue characterisation of full-scale pavements using viscoelastic continuum damage approach for qatar
( CRC Press/Balkema , 2015 , Conference)The population and economy in Qatar have been expanding significantly in the past six years. Accordingly, Qatar is encountering huge development in infrastructure. The existing mix design methods have been developed in the ... -
Study on the use of low field nuclear magnetic resonance for detecting asphalt aging
( CRC Press/Balkema , 2017 , Conference)Authors of this paper recently introduced the application of Low Field Nuclear Magnetic Resonance (LF-NMR) to evaluate the aging state of asphalt mix samples. This method was able to determine the aging trends of asphalt ... -
Evaluation of Federal Highway Administration’s Traffic Noise Model for Pavements in Qatar
( Springer Nature , 2020 , Book chapter)Traffic noise is an irritating problem especially for residents near major transportation corridors. It’s in the interest of transportation agencies to check the noise level to develop measures to reduce noise if it exceeds ... -
Nanoscale evaluation of multi-walled carbon nanotube’s performance on resisting oxidization of asphalt
( Trans Tech Publications Ltd , 2019 , Conference)Nanotechnology has contributed significantly to different subfields of the construction industry, including asphalt pavement engineering. The improved properties and new functionalities of the nanomaterials have provided ...
