All Outputs (6158)

Extreme genetic depletion upon postglacial colonization hampers determining the provenance of introduced palmate newt populations (2024)
Journal Article
Elfering, R., Mannix, S., Allain, S., Ambu, J., Crochet, P., van Doorn, L., …Wielstra, B. (2024). Extreme genetic depletion upon postglacial colonization hampers determining the provenance of introduced palmate newt populations. Amphibia-Reptilia, 1-8. https://doi.org/10.1163/15685381-bja10181

MtDNA barcoding is regularly applied to determine the provenance of invasive species. Variation in spatial genetic structuring across a species’ range, typically high within glacial refugia and low in postglacially colonized areas, influences the pre... Read More about Extreme genetic depletion upon postglacial colonization hampers determining the provenance of introduced palmate newt populations.

Mathematical modelling of Oxygen diffusion from capillary to tissues during hypoxia through multiple points using fractional balance equations with memory (2024)
Journal Article
Srivastava, V., Tripathi, D., Srivastava, P. K., Kuharat, S., & Anwar Bég, O. (in press). Mathematical modelling of Oxygen diffusion from capillary to tissues during hypoxia through multiple points using fractional balance equations with memory. Critical Reviews in Biomedical Engineering,

The diffusion of oxygen through capillary to surrounding tissues through multiple points along the length has been addressed in many clinical studies, largely motivated by disorders including hypoxia. However relatively few analytical or numerical st... Read More about Mathematical modelling of Oxygen diffusion from capillary to tissues during hypoxia through multiple points using fractional balance equations with memory.

Simulation of magneto-nano-bioconvective coating flow with blowing and multiple slip effects (2024)
Journal Article
Anwar Bég, O., Kumar, D., Uddin, M. J., Alim, M. A., & Bég, T. A. (in press). Simulation of magneto-nano-bioconvective coating flow with blowing and multiple slip effects. Proceedings of the Institution of Mechanical Engineers, Part N: Journal of Nanoengineering and Nanosystems,

The phenomenon of bioconvecton due to motile microorganism swimming patterns has been found to be a beneficial mechanism in many biological processes and microdevices. Inducing convective transport in self-propelling microbes has been successfully us... Read More about Simulation of magneto-nano-bioconvective coating flow with blowing and multiple slip effects.

Computation of rheological nanofluid coating boundary layer transport with convective wall heating (2024)
Journal Article
Uddin, M. J., Bég, O. A., & Kuharat, S. (in press). Computation of rheological nanofluid coating boundary layer transport with convective wall heating. Proceedings of the Institution of Mechanical Engineers, Part N: Journal of Nanoengineering and Nanosystems,

Non-Newtonian nanofluids offer significant advantages in thermal enhancement in a variety of applications including in numerous areas of engineering including solar collectors and nano-coating manufacturing processes. When combined with porous media,... Read More about Computation of rheological nanofluid coating boundary layer transport with convective wall heating.

An Improved Extreme Learning Machine (ELM) Algorithm for Intent Recognition of Transfemoral Amputees With Powered Knee Prosthesis (2024)
Journal Article
Zhang, Y., Wang, X., Xiu, H., Chen, W., Ma, Y., Wei, G., …Ren, L. (2024). An Improved Extreme Learning Machine (ELM) Algorithm for Intent Recognition of Transfemoral Amputees With Powered Knee Prosthesis. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, 1757-1766. https://doi.org/10.1109/tnsre.2024.3394618

To overcome the challenges posed by the complex structure and large parameter requirements of existing classification models, the authors propose an improved extreme learning machine (ELM) classifier for human locomotion intent recognition in this st... Read More about An Improved Extreme Learning Machine (ELM) Algorithm for Intent Recognition of Transfemoral Amputees With Powered Knee Prosthesis.

Galerkin FEM simulation of natural convection in an annular porous medium-based solar collector system (2024)
Journal Article
Venkatadri, K., Anwar Bég, O., Bég, T. A., & Kuharat, S. (in press). Galerkin FEM simulation of natural convection in an annular porous medium-based solar collector system. International Journal of Ambient Energy,

Motivated by simulating emerging hybrid designs in annular solar direct absorber collectors, a theoretical and numerical study of natural convection in an annular hybrid porous medium solar collector is presented. An aspect ratio of 2 is considered w... Read More about Galerkin FEM simulation of natural convection in an annular porous medium-based solar collector system.

Effective Stakeholder Management for Inclusive Post-Flood Management: Sri Lanka as a Case Study (2024)
Journal Article
Mendis, K., Thayaparan, M., Kaluarachchi, Y., & Ingirige, B. (2024). Effective Stakeholder Management for Inclusive Post-Flood Management: Sri Lanka as a Case Study. Water, 16(10), 1429. https://doi.org/10.3390/w16101429

This study aimed to examine post-flood management, with a particular focus on enhancing the inclusivity of marginalised communities through stakeholder analysis. This study was based on an interpretivist mixed method approach, under which 30 semi-str... Read More about Effective Stakeholder Management for Inclusive Post-Flood Management: Sri Lanka as a Case Study.

Salford Twist Mill: Uncovering an Iconic Textile Factory (2024)
Journal Article
Miller, I. (in press). Salford Twist Mill: Uncovering an Iconic Textile Factory. Industrial Archaeology Review, 46(1), https://doi.org/10.1080/03090728.2024.2357425

The Salford Twist Mill of 1799-1801 has attracted much attention as a pioneering example of an iron-framed building, the first textile mill in England to have benefitted from steam heating and one of the earliest buildings in the world to have been p... Read More about Salford Twist Mill: Uncovering an Iconic Textile Factory.

Artificial Intelligence in Next-Generation Networking: Energy Efficiency Optimization in IoT Networks Using Hybrid LEACH Protocol (2024)
Journal Article
Khan, S. B., Kumar, A., Mashat, A., Pruthviraja, D., Imam Rahmani, M. K., & Mathew, J. (in press). Artificial Intelligence in Next-Generation Networking: Energy Efficiency Optimization in IoT Networks Using Hybrid LEACH Protocol. SN Computer Science, 5(5), 546. https://doi.org/10.1007/s42979-024-02778-5

The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) is significantly transforming the landscape of future networking. The Internet of Things (IoT) is a technological paradigm that encompasses embedded systems, wireless se... Read More about Artificial Intelligence in Next-Generation Networking: Energy Efficiency Optimization in IoT Networks Using Hybrid LEACH Protocol.

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.

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.

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.

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.

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.

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.