Outputs (267)

Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries. (2022)
Journal Article
WANG, S., FAN, Y., JIN, S., TAKYI-ANINAKWA, P. and FERNANDEZ, C. 2023. Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries. Reliability engineering and system safety [online], 230, article 108920. Available from: https://doi.org/10.1016/j.ress.2022.108920

Safety assurance is essential for lithium-ion batteries in power supply fields, and the remaining useful life (RUL) prediction serves as one of the fundamental criteria for the performance evaluation of energy and storage systems. Based on an improve... Read More about Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries..

A novel multiple training-scale dynamic adaptive cuckoo search optimized long short-term memory neural network and multi-dimensional health indicators acquisition strategy for whole life cycle health evaluation of lithium-ion batteries. (2022)
Journal Article
REN, P., WANG, S., CHEN, X., ZHOU, H., FERNANDEZ, C. and STROE, D.-I. 2022. A novel multiple training-scale dynamic adaptive cuckoo search optimized long short-term memory neural network and multi-dimensional health indicators acquisition strategy for whole life cycle health evaluation of lithium-ion batteries. Electrochimica Acta [online], 435, article 141404. Available from: https://doi.org/10.1016/j.electacta.2022.141404

State of health evaluation of lithium-ion batteries has become a significant research direction in related fields attributed to the crucial impact on the reliability and safety of electric vehicles. In this research, a dynamic adaptive cuckoo search... Read More about A novel multiple training-scale dynamic adaptive cuckoo search optimized long short-term memory neural network and multi-dimensional health indicators acquisition strategy for whole life cycle health evaluation of lithium-ion batteries..

A novel gradient-guided post-processing method for adaptive image steganography. (2022)
Journal Article
XIE, G., REN, J., MARSHALL, S., ZHAO, H. and LI, R. 2023. A novel gradient-guided post-processing method for adaptive image steganography. Signal processing [online], 203, article 108813. Available from: https://doi.org/10.1016/j.sigpro.2022.108813

Designing an effective cost function has always been the key in image steganography after the development of the near-optimal encoders. To learn the cost maps automatically, the Generative Adversarial Networks (GAN) are often trained from the given c... Read More about A novel gradient-guided post-processing method for adaptive image steganography..

Current development and future challenges in microplastic detection techniques: a bibliometrics-based analysis and review. (2022)
Journal Article
JIN, M., LIU, J., YU, J., ZHOU, Q., WU, W., FU, L., YIN, C., FERNANDEZ, C. and KARIMI-MALEH, H. 2022. Current development and future challenges in microplastic detection techniques: a bibliometrics-based analysis and review. Science progress [online], 105(4), pages 1-22. Available from: https://doi.org/10.1177/003685042211321

Microplastics have been considered a new type of pollutant in the marine environment and have attracted widespread attention worldwide in recent years. Plastic particles with particle size less than 5 mm are usually defined as microplastics. Because... Read More about Current development and future challenges in microplastic detection techniques: a bibliometrics-based analysis and review..

Application of thermal spray coatings in electrolysers for hydrogen production: advances, challenges, and opportunities. (2022)
Journal Article
FAISAL, N.H., PRATHURU, A., AHMED, R. et al. 2022. Application of thermal spray coatings in electrolysers for hydrogen production: advances, challenges, and opportunities. ChemNanoMat [online], 8(12), article number e202200384. Available from: https://doi.org/10.1002/cnma.202200384

Thermal spray coatings have the advantage of providing thick and functional coatings from a range of engineering materials. The associated coating processes provide good control of coating thickness, morphology, microstructure, pore size and porosity... Read More about Application of thermal spray coatings in electrolysers for hydrogen production: advances, challenges, and opportunities..

Solar-driven semi-conductor photocatalytic water treatment (TiO2, g-C3N4, and TiO2+g-C3N4) of cyanotoxins: proof-of-concept study with microcystin-LR. (2022)
Journal Article
PESTANA, C.J., HUI, J., CAMACHO-MUÑOZ, D., EDWARDS, C., ROBERTSON, P.K.J., IRVINE, J.T.S. and LAWTON, L.A. 2022. Solar-driven semi-conductor photocatalytic water treatment (TiO2, g-C3N4, and TiO2+g-C3N4) of cyanotoxins: proof-of-concept study with microcystin-LR. Chemosphere [online], 310, article 136828. Available from: https://doi.org/10.1016/j.chemosphere.2022.136828

Cyanobacteria and their toxins are a threat to drinking water safety as increasingly cyanobacterial blooms (mass occurrences) occur in lakes and reservoirs all over the world. Photocatalytic removal of cyanotoxins by solar light active catalysts is a... Read More about Solar-driven semi-conductor photocatalytic water treatment (TiO2, g-C3N4, and TiO2+g-C3N4) of cyanotoxins: proof-of-concept study with microcystin-LR..

Numerical analysis of a horizontal pressure differential wave energy converter. (2022)
Journal Article
RENGANATHAN, M. and HOSSAIN, M. 2022. Numerical analysis of a horizontal pressure differential wave energy converter. Energies [online], 15(20), articles 7513. Available from: https://doi.org/10.3390/en15207513

CFD modeling of an innovative wave energy device has been carried out in this study. OpenFoam wave modeling solver interFoam has been employed in order to investigate the energy extraction capability of the wave energy device. The innovative concept... Read More about Numerical analysis of a horizontal pressure differential wave energy converter..

Mechanical properties and weld characteristics of friction stir welding of thermoplastics using heat-assisted tool. (2022)
Journal Article
SHAH, F., YOUNAS, M., KHAN, M., KHAN, A., KHAN, Z. and KHAN, N. 2023. Mechanical properties and weld characteristics of friction stir welding of thermoplastics using heat-assisted tool. Welding in the world [online], 67(2), pages 309-323. Available from: https://doi.org/10.1007/s40194-022-01385-3

Friction stir welding (FSW) is a welding technique in which a non-consumable rotating tool with a profiled pin is pressed on the adjoining surfaces and transverse along the welding direction to produce a weld trail. The technique was first applied to... Read More about Mechanical properties and weld characteristics of friction stir welding of thermoplastics using heat-assisted tool..

Printed texture guided color feature fusion for impressionism style rendering of oil paintings. (2022)
Journal Article
GENG, J., MA, L., LI, X., ZHANG, X. and YAN, Y. 2022. Printed texture guided color feature fusion for impressionism style rendering of oil paintings. Mathematics [online], 10(19): advances in computer vision and machine learning, article 3700. Available from: https://doi.org/10.3390/math10193700

As a major branch of Non-Photorealistic Rendering (NPR), image stylization mainly uses computer algorithms to render a photo into an artistic painting. Recent work has shown that the ex-traction of style information such as stroke texture and color o... Read More about Printed texture guided color feature fusion for impressionism style rendering of oil paintings..

The importance of NOx control for peak ozone mitigation based on a sensitivity study using CMAQ‐HDDM‐3D model during a typical episode over the Yangtze River delta region, China. (2022)
Journal Article
WANG, Y., YALUK, E.A., CHEN, H., JIANG, S., HUANG, L., ZHU, A., XIAO, S., XUE, J., LU, G., BIAN, J., KASEMSAN, M., ZHANG, K., LIU, H., TONG, H., OOI, M.C.G., CHAN, A. and LI, L. 2022. The importance of NOx control for peak ozone mitigation based on a sensitivity study using CMAQ-HDDM-3D model during a typical episode over the Yangtze River delta region, China. Journal of geophysical research: atmospheres [online], 127(9), article e2022JD036555. Available from: https://doi.org/10.1029/2022jd036555

In recent years, ground-level ozone (O3) has been one of the main pollutants hindering air quality compliance in China's large city-clusters including the Yangtze River Delta (YRD) region. In this work, we utilized the process analysis (PA) and the h... Read More about The importance of NOx control for peak ozone mitigation based on a sensitivity study using CMAQ‐HDDM‐3D model during a typical episode over the Yangtze River delta region, China..

Scientific model development for machinery safety using machine reliability, integrity and availability. (2022)
Journal Article
NESAN, K.P., BUANG, A., KANIAPAN, S. and ZAINI, D. 2022. Scientific model development for machinery safety using machine reliability, integrity and availability. International journal of occupational safety and health [online], 12(4), pages 307-315. Available from: https://doi.org/10.3126/ijosh.v12i4.42147

Machines are equipment that increases productivity and efficiency in a workplace. Machine Reliability, Integrity, and Availability are the most critical factors to ensure machinery safety in a workplace. Throughout this study, a series of reviews of... Read More about Scientific model development for machinery safety using machine reliability, integrity and availability..

Application of pencil lead break (PLB) point source in the detection of interfacial defects in adhesive bonds. (2022)
Journal Article
PRATHURU, A., FAISAL, N., STEEL, J. and JIHAN, S. 2022. Application of pencil lead break (PLB) point source in the detection of interfacial defects in adhesive bonds. Journal of nondestructive evaluation [online], 41(4), article 65. Available from: https://doi.org/10.1007/s10921-022-00898-7

The presence of kissing bonds (zero-thickness disbond) along the interface of an adhesive bond is highly detrimental to its strength and longevity. The detection of these kind of defects has previously been attempted using several techniques such as... Read More about Application of pencil lead break (PLB) point source in the detection of interfacial defects in adhesive bonds..

Desirable tourism futures: stakeholders' participation in local strategic planning for sustainable tourism in Orkney Islands. (2022)
Presentation / Conference Contribution
ROITERSHTEIN, A. 2022. Desirable tourism futures: stakeholders' participation in local strategic planning for sustainable tourism in Orkney Islands. Presented at the 30th Nordic symposium on tourism and hospitality research: participatory approaches to development for desirable tourism futures, 27-29 September 2022, Porvoo, Finland.

Comprehensive stakeholder engagement in tourism planning is vital for sustainable destination development, but many strategic plans fail to provide evidence of such engagement on a destination level. As a part of a wider doctoral research project, th... Read More about Desirable tourism futures: stakeholders' participation in local strategic planning for sustainable tourism in Orkney Islands..

Water taste and odor (T&O): challenges, gaps and solutions from a perspective of the WaterTOP network. (2022)
Journal Article
AKCAALAN, R., DEVESA-GARRIGA, R., DIETRICH, A., et al. 2022. Water taste and odor (T&O): challenges, gaps and solutions from a perspective of the WaterTOP network. Chemical engineering journal advances [online], 12, article 100409. Available from: https://doi.org/10.1016/j.ceja.2022.100409

Aesthetic aspects of drinking water, such as Taste and Odor (T&O), have significant effects on consumer perceptions and acceptability. Solving unpleasant water T&O episodes in water supplies is challenging, since it requires experti... Read More about Water taste and odor (T&O): challenges, gaps and solutions from a perspective of the WaterTOP network..

Improved compound correction-electrical equivalent circuit modeling and double transform-unscented Kalman filtering for the high-accuracy closed-circuit voltage and state-of-charge co-estimation of whole-life-cycle lithium-ion batteries. (2022)
Journal Article
WANG, S., TAKYI-ANINAKWA, P., YU, C., JIN, S. and FERNANDEZ, C. 2022. Improved compound correction-electrical equivalent circuit modeling and double transform-unscented Kalman filtering for the high-accuracy closed-circuit voltage and state-of-charge co-estimation of whole-life-cycle lithium-ion batteries. Energy technology [online], 10(12), article 2200921. Available from: https://doi.org/10.1002/ente.202200921

For complex energy storage conditions, it is necessary to monitor the state-of-charge (SOC) and closed-circuit voltage (CCV) status accurately for the reliable power supply application of lithium-ion batteries. Herein, an improved compound correction... Read More about Improved compound correction-electrical equivalent circuit modeling and double transform-unscented Kalman filtering for the high-accuracy closed-circuit voltage and state-of-charge co-estimation of whole-life-cycle lithium-ion batteries..

An improved computational fluid dynamics (CFD) model for predicting hydrate deposition rate and wall shear stress in offshore gas-dominated pipeline. (2022)
Journal Article
UMUTEME, O.M., ISLAM, S.Z., HOSSAIN, M. and KARNIK, A. 2022. An improved computational fluid dynamics (CFD) model for predicting hydrate deposition rate and wall shear stress in offshore gas-dominated pipeline. Journal of natural gas science and engineering [online], 107, article 104800. Available from: https://doi.org/10.1016/j.jngse.2022.104800

Gas hydrates in pipelines is still a flow assurance problem in the oil and gas industry, and requires a proactive hydrate plugging risk predicting model. As an active area of research, this work has developed a 3D 10m length by 0.0204m diameter horiz... Read More about An improved computational fluid dynamics (CFD) model for predicting hydrate deposition rate and wall shear stress in offshore gas-dominated pipeline..

Development and pilot evaluation of an online retrofit decision-making tool for homeowners. [Dataset] (2022)
Data
SEDDIKI, M., BENNADJI, A., ALABID, J., GRAY, D. and DEVECI, G. 2022. Development and pilot evaluation of an online retrofit decision-making tool for homeowners. [Dataset]. Buildings [online], 12(10), article 1513. Available from: https://www.mdpi.com/2075-5309/12/10/1513/htm

Many retrofit projects went wrong in the UK principally because of the application of inappropriate retrofit solutions, which resulted in damp issues, with some leaving houses in worse conditions than pre-retrofit. Various online tools were developed... Read More about Development and pilot evaluation of an online retrofit decision-making tool for homeowners. [Dataset].

Development and pilot evaluation of an online retrofit decision-making tool for homeowners. (2022)
Journal Article
SEDDIKI, M., BENNADJI, A., ALABID, J., GRAY, D. and DEVECI, G. 2022. Development and pilot evaluation of an online retrofit decision-making tool for homeowners. Buildings [online], 12(10), article 1513. Available from: https://doi.org/10.3390/buildings12101513

Many retrofit projects went wrong in the UK principally because of the application of inappropriate retrofit solutions, which resulted in damp issues, with some leaving houses in worse conditions than pre-retrofit. Various online tools were developed... Read More about Development and pilot evaluation of an online retrofit decision-making tool for homeowners..

Multiscale voting mechanism for rice leaf disease recognition under natural field conditions. (2022)
Journal Article
TANG, Y., ZHAO, J., HUANG, H., ZHUANG, J., TAN, Z., HOU, C., CHEN, W. and REN, J. 2022. Multiscale voting mechanism for rice leaf disease recognition under natural field conditions. International journal of intelligent systems [online], 37(12), pages 12169-12191. Available from: https://doi.org/10.1002/int.23081

Rice leaf disease (RLD) is one of the major factors that cause the decline in production, and the automatic recognition of such diseases under natural field conditions is of great significance for timely targeted rice management. Although many machin... Read More about Multiscale voting mechanism for rice leaf disease recognition under natural field conditions..

Bayesian gravitation-based classification for hyperspectral images. (2022)
Journal Article
ZHANG, A., SUN, G., PAN, Z., REN, J., JIA, X., ZHANG, C., FU, H. and YAO, Y. 2022. Bayesian gravitation-based classification for hyperspectral images. IEEE transactions on geoscience and remote sensing [online], 60, article 5542714. Available from: https://doi.org/10.1109/TGRS.2022.3203488

Integration of spectral and spatial information is extremely important for the classification of high-resolution hyperspectral images (HSIs). Gravitation describes interaction among celestial bodies which can be applied to measure similarity between... Read More about Bayesian gravitation-based classification for hyperspectral images..