All Outputs (6178)

Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor (2024)
Journal Article
Albalawi, E., T.R., M., Thakur, A., Kumar, V. V., Gupta, M., Khan, S. B., & Almusharraf, A. (in press). Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor. BMC Medical Imaging, 24(1), 110. https://doi.org/10.1186/s12880-024-01261-0

Brain tumor classification using MRI images is a crucial yet challenging task in medical imaging. Accurate diagnosis is vital for effective treatment planning but is often hindered by the complex nature of tumor morphology and variations in imaging.... Read More about Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor.

Thermodynamic and structural investigation of oily wastewater treatment using peach kernel and walnut shell based activated carbon (2024)
Journal Article
El Jery, A., Khedher, K. M., Mahmood Salman, H., Al-Ansari, N., Sammen, S. S., & Scholz, M. (in press). Thermodynamic and structural investigation of oily wastewater treatment using peach kernel and walnut shell based activated carbon. PloS one, 19(5), e0297024. https://doi.org/10.1371/journal.pone.0297024

Despite the many articles about activated carbon with different precursors in adsorption process, no in-depth research has been carried out to understand the causes of the difference in surface adsorption characteristics of activated carbon with diff... Read More about Thermodynamic and structural investigation of oily wastewater treatment using peach kernel and walnut shell based activated carbon.

Artificial Intelligence-Driven Enhanced CBR Modeling of Sandy Soils Considering Broad Grain Size Variability (2024)
Journal Article
ur Rehman, Z., Aziz, Z., Khalid, U., Ijaz, N., ur Rehman, S., & Ijaz, Z. (in press). Artificial Intelligence-Driven Enhanced CBR Modeling of Sandy Soils Considering Broad Grain Size Variability. #Journal not on list,

The soil packing, influenced by variations in grain size and the gradation pattern within the soil matrix, plays a crucial role in constituting the mechanical properties of sandy soils. However, previous modeling approaches have overlooked incorporat... Read More about Artificial Intelligence-Driven Enhanced CBR Modeling of Sandy Soils Considering Broad Grain Size Variability.

Numerical study of electroconductive non-Newtonian hybrid nanofluid flow from a stretching rotating disk with a Cattaneo-Christov heat flux model (2024)
Journal Article
Salawu, S. O., Anwar Bég, O., Usman, Bég, T. A., Kuharat, S., & Shamshuddin, M. (in press). Numerical study of electroconductive non-Newtonian hybrid nanofluid flow from a stretching rotating disk with a Cattaneo-Christov heat flux model. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering,

Motivated by emerging technologies in smart functional nano-polymeric coating systems in pharmaceutical and robotics applications, the convective heat transfer characteristics in swirl coating with a magnetic hybrid power-law rheological nanofluid po... Read More about Numerical study of electroconductive non-Newtonian hybrid nanofluid flow from a stretching rotating disk with a Cattaneo-Christov heat flux model.

Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework (2024)
Journal Article
Ahmed, S. T., Mahesh, T. R., Srividhya, E., Vinoth Kumar, V., Khan, S. B., Albuali, A., & Almusharraf, A. (in press). Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework. BMC Medical Imaging, 24(1), 105. https://doi.org/10.1186/s12880-024-01279-4

Categorizing Artificial Intelligence of Medical Things (AIoMT) devices within the realm of standard Internet of Things (IoT) and Internet of Medical Things (IoMT) devices, particularly at the server and computational layers, poses a formidable challe... Read More about Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework.

Nature-based solutions to increase rice yield: An experimental assessment of the role of birds and bats as agricultural pest suppressors in West Africa (2024)
Journal Article
Sottomayor, M., Palmeirim, A. F., Meyer, C. F. J., De Lima, R. F., Rocha, R., & Rainho, A. (2024). Nature-based solutions to increase rice yield: An experimental assessment of the role of birds and bats as agricultural pest suppressors in West Africa. Agriculture, ecosystems & environment, 370, Article 109067. https://doi.org/10.1016/j.agee.2024.109067

Rice is widely consumed as a staple food, being cultivated worldwide. However, in West Africa, production is not enough to satisfy demand. Rice often suffers intensive damage by herbivorous arthropods that affect quality and quantity of the grain. Bi... Read More about Nature-based solutions to increase rice yield: An experimental assessment of the role of birds and bats as agricultural pest suppressors in West Africa.

Advancing solar energy integration: Unveiling XAI insights for enhanced power system management and sustainable future (2024)
Journal Article
Nallakaruppan, M., Shankar, N., Bhuvanagiri, P. B., Padmanaban, S., & Bhatia Khan, S. (2024). Advancing solar energy integration: Unveiling XAI insights for enhanced power system management and sustainable future. Ain Shams Engineering Journal ASEJ / Ain Shams University, 15(6), 102740. https://doi.org/10.1016/j.asej.2024.102740

Solar energy has emerged as a vital renewable alternative to fossil fuels, enhancing environmental sustainability in response to the pressing need to reduce carbon emissions. However, the integration of solar power into the electric... Read More about Advancing solar energy integration: Unveiling XAI insights for enhanced power system management and sustainable future.

Identifying sustainable retrofit challenges of historical Buildings: A systematic review (2024)
Journal Article
Panakaduwa, C., Coates, P., & Munir, M. (2024). Identifying sustainable retrofit challenges of historical Buildings: A systematic review. Energy and Buildings, 313, https://doi.org/10.1016/j.enbuild.2024.114226

The UK is reported to have approximately 400,000 historical buildings as listed buildings and buildings in conservation sites. Due to the historical value of these buildings, the level of changes possible to these buildings is limited. However, the g... Read More about Identifying sustainable retrofit challenges of historical Buildings: A systematic review.

Nano-Additives in Asphalt Binder: Bridging the Gap between Traditional Materials and Modern Requirements (2024)
Journal Article
Albayati, A. H., Latief, R. H., Al-Mosawe, H., & Wang, Y. (2024). Nano-Additives in Asphalt Binder: Bridging the Gap between Traditional Materials and Modern Requirements. Applied Sciences, 14(10), 3998. https://doi.org/10.3390/app14103998

This research delves into the realm of asphalt technology, exploring the potential of nano-additives to enhance traditional asphalt binder properties. Focusing on Nano-Titanium Dioxide (NT), Nano-Aluminum Oxide (NA), and Nano-Silica Oxide (NS), this... Read More about Nano-Additives in Asphalt Binder: Bridging the Gap between Traditional Materials and Modern Requirements.

Features in extractive supervised single-document summarization: case of Persian news (2024)
Journal Article
Rezaei, H., Mirhosseini, S. A. M., Shahgholian, A., & Saraee, M. (in press). Features in extractive supervised single-document summarization: case of Persian news. Language Resources and Evaluation, 1 - 19. https://doi.org/10.1007/s10579-024-09739-7

Text summarization has been one of the most challenging areas of research in NLP. Much effort has been made to overcome this challenge by using either abstractive or extractive methods. Extractive methods are preferable due to their simplicity compar... Read More about Features in extractive supervised single-document summarization: case of Persian news.

Decoupled SculptorGAN Framework for 3D Reconstruction and Enhanced Segmentation of Kidney Tumors in CT Images (2024)
Journal Article
Suman Prakash, P., Kiran Rao, P., Suresh Babu, E., Khan, S. B., Almusharraf, A., & Quasim, M. T. (2024). Decoupled SculptorGAN Framework for 3D Reconstruction and Enhanced Segmentation of Kidney Tumors in CT Images. IEEE Access, 1-1. https://doi.org/10.1109/access.2024.3389504

Our proposed work, SculptorGAN, represents a novel advancement in the domain of medical imaging, for the accurate and automatic diagnosis of renal tumors, using the techniques and principles of Generative Adversarial Network (GAN). This dichotomous f... Read More about Decoupled SculptorGAN Framework for 3D Reconstruction and Enhanced Segmentation of Kidney Tumors in CT Images.

Transient dispersion of reactive solute transport in electrokinetic microchannel flow (2024)
Journal Article
Huang, S., Debnath, S., Roy, A. K., Wang, J., Jiang, W., Bég, O. A., & Kuharat, S. (2024). Transient dispersion of reactive solute transport in electrokinetic microchannel flow. Physics of Fluids, 36(5), https://doi.org/10.1063/5.0206129

Motivated by emerging applications in bio-microfluidic devices, the present study rigorously examines the generalized Taylor–Gill hydrodynamic dispersion of a point source solute injected into a microchannel, influenced by a constant axial static ele... Read More about Transient dispersion of reactive solute transport in electrokinetic microchannel flow.

Transitioning to a Hydrogen Economy: Exploring the Viability of Adapting Natural Gas Pipelines for Hydrogen Transport through a Case Study on Compression vs. Looping (2024)
Journal Article
Abbas, A. J., Haruna, S. K., Burby, M., John, I. J., & Yar’Adua, K. H. (in press). Transitioning to a Hydrogen Economy: Exploring the Viability of Adapting Natural Gas Pipelines for Hydrogen Transport through a Case Study on Compression vs. Looping. Gases, 4(2), 74-96. https://doi.org/10.3390/gases4020005

The growing importance of hydrogen as an energy carrier in a future decarbonised energy system has led to a surge in its production plans. However, the development of infrastructure for hydrogen delivery, particularly in the hard-to-abate sectors, re... Read More about Transitioning to a Hydrogen Economy: Exploring the Viability of Adapting Natural Gas Pipelines for Hydrogen Transport through a Case Study on Compression vs. Looping.

ONE3A: one-against-all authentication model for smartphone using GAN network and optimization techniques (2024)
Journal Article
Eltoukhy, M. M., Gaber, T., Almazroi, A. A., & Mohamed, M. F. (in press). ONE3A: one-against-all authentication model for smartphone using GAN network and optimization techniques. PeerJ Computer Science, 10, e2001. https://doi.org/10.7717/peerj-cs.2001

This study focuses on addressing computational limits in smartphones by proposing an efficient authentication model that enables implicit authentication without requiring additional hardware and incurring less computational cost. The research explore... Read More about ONE3A: one-against-all authentication model for smartphone using GAN network and optimization techniques.

Numerical study of hybrid binary Al2O3-Cu-H2O nanofluid coating boundary layer flow from an exponentially stretching/shrinking perforated substrate with Cattaneo-Christov heat flux, heat source, suction and multiple slip effects (2024)
Journal Article
Venkatadri, K., Sree Harshitha, P., Anwar Beg, O., & Kuharat, S. (in press). Numerical study of hybrid binary Al2O3-Cu-H2O nanofluid coating boundary layer flow from an exponentially stretching/shrinking perforated substrate with Cattaneo-Christov heat flux, heat source, suction and multiple slip effects. Numerical Heat Transfer, Part B Fundamentals,

Numerical study of hybrid binary Al2O3-Cu-H2O nanofluid coating boundary layer flow from an exponentially stretching/shrinking perforated substrate with Cattaneo-Christov heat flux, heat source, suction and multiple slip effects. ABSTRACT: Modern coa... Read More about Numerical study of hybrid binary Al2O3-Cu-H2O nanofluid coating boundary layer flow from an exponentially stretching/shrinking perforated substrate with Cattaneo-Christov heat flux, heat source, suction and multiple slip effects.

Evaluation of the indoor environment in a historic museum during the COVID-19 lockdown in Northwest England (2024)
Journal Article
Al-Maiyah, S., Brett Martinson, D., & Elkadi, H. (in press). Evaluation of the indoor environment in a historic museum during the COVID-19 lockdown in Northwest England. Building Research and Information, 1-17. https://doi.org/10.1080/09613218.2024.2339207

Monitoring the quality of the indoor environment is a practice commonly adopted by museums as part of operational risk management. Recorded environmental data are often used to assess the safety of the indoor environment for artefacts, and their suit... Read More about Evaluation of the indoor environment in a historic museum during the COVID-19 lockdown in Northwest England.

Social prescribing of urban agriculture: The importance of minimizing risks from soil contamination (2024)
Journal Article
Beesley, L., & Hardman, M. (2024). Social prescribing of urban agriculture: The importance of minimizing risks from soil contamination. Cities, 149, https://doi.org/10.1016/j.cities.2024.104971

The value of Green Social Prescribing (GSP) of Urban Agriculture (UA) is well proven, with many cities witnessing a rise in such activities. However, with burgeoning interest, there comes an increased need to understand the potential risks associated... Read More about Social prescribing of urban agriculture: The importance of minimizing risks from soil contamination.

Myosin-1C augments secretion of von Willebrand factor by linking contractile actomyosin machinery to the plasma membrane. (2024)
Journal Article
El-Mansi, S., Mitchell, T. P., Mobyen, G., McKinnon, T. A. J., Miklavc, P., Frick, M., …McKinnon, T. A. (in press). Myosin-1C augments secretion of von Willebrand factor by linking contractile actomyosin machinery to the plasma membrane. #Journal not on list, https://doi.org/10.1182/bloodadvances.2024012590

Blood endothelial cells control the hemostatic and inflammatory response by secreting von Willebrand factor (VWF) and P-selectin from storage organelles called Weibel-Palade bodies (WPB). Actin-associated motor proteins regulate this secretory pathwa... Read More about Myosin-1C augments secretion of von Willebrand factor by linking contractile actomyosin machinery to the plasma membrane..

Examining the Challenges for Circular Economy Implementation in Construction and Demolition Waste Management: A Comprehensive Review Using Systematic Methods (2024)
Journal Article
Ferriz-Papi, J. A., Lee, A., & Alhawamdeh, M. (in press). Examining the Challenges for Circular Economy Implementation in Construction and Demolition Waste Management: A Comprehensive Review Using Systematic Methods. Buildings, 14(5), 1237. https://doi.org/10.3390/buildings14051237

The construction industry accounts for approximately one-third of the total waste generation globally. With the United Nations projecting a population increase of 2 billion within the next three decades, there is a heightened demand for building stoc... Read More about Examining the Challenges for Circular Economy Implementation in Construction and Demolition Waste Management: A Comprehensive Review Using Systematic Methods.

PrEGAN: Privacy Enhanced Clinical EMR Generation: Leveraging GAN Model for Customer De-Identification (2024)
Journal Article
Ahmed, S. T., Sivakami, R., V, V. K., R, M. T., Khan, S. B., Mashat, A., & Almusharraf, A. (2024). PrEGAN: Privacy Enhanced Clinical EMR Generation: Leveraging GAN Model for Customer De-Identification. IEEE Transactions on Consumer Electronics, 1-1. https://doi.org/10.1109/tce.2024.3386222

Privacy in medical records while data sharing is a major concern for distributed learning models. The dataset generated and shared via Electronic Medical Records (EMR) consist of sensitive medical information such as patient identify and experts reco... Read More about PrEGAN: Privacy Enhanced Clinical EMR Generation: Leveraging GAN Model for Customer De-Identification.