All Outputs (4704)

Deep learning framework designed for high-performance lithium-ion batteries state monitoring. (2025)
Journal Article
TAKYI-ANINAKWA, P., WANG, S., LIU, G., FERNANDEZ, C., KANG, W. and SONG, Y. 2025. Deep learning framework designed for high-performance lithium-ion batteries state monitoring. Renewable and sustainable energy reviews [online], 218, article number 115803. Available from: https://doi.org/10.1016/j.rser.2025.115803

Accurate state of charge (SOC) estimation is crucial for ensuring the safety of batteries, especially in real-time battery management system (BMS) applications. Deep learning methods have become increasingly popular, driving significant advancements... Read More about Deep learning framework designed for high-performance lithium-ion batteries state monitoring..

Social work practice following the COVID-19 pandemic: reflections from Brazil, India and Scotland. (2025)
Journal Article
GARCIA, M.L.T., SPOLANDER, G., LEAL, F., ADAIKALAM, F. and GIBSON, N. [2025]. Social work practice following the COVID-19 pandemic: reflections from Brazil, India and Scotland. International social work [online], Online First. Available from: https://doi.org/10.1177/00208728241313034

COVID-19 impacted globally, on individual health, care systems and social reproduction. Excessive death, lockdowns and social policy change had immediate and long-term national and global implications. Attention has been given to the immediate conseq... Read More about Social work practice following the COVID-19 pandemic: reflections from Brazil, India and Scotland..

Application of machine learning in the determination of rock brittleness for CO2 geosequestration. (2025)
Journal Article
AMINAHO, E.N., HOSSAIN, M., FAISAL, N.H. and SANAEE, R. 2025. Application of machine learning in the determination of rock brittleness for CO2 geosequestration. Machine learning with applications [online], 20, article number 100656. Available from: https://doi.org/10.1016/j.mlwa.2025.100656

The underground storage of carbon dioxide (CO2), also called CO2 geosequestration, represents one of the most promising options for reducing greenhouse gases in the atmosphere. However, fluid-rock interactions in reservoir and cap rocks before and du... Read More about Application of machine learning in the determination of rock brittleness for CO2 geosequestration..

An improved bidirectional long short-term memory hybrid neural network with Gaussian filtering for multi-temperature state of charge estimation of lithium-ion batteries. (2025)
Journal Article
LIU, Q., SHI, H., ZOU, Y., CAO, W. and FERNANDEZ, C. 2025. An improved bidirectional long short-term memory hybrid neural network with Gaussian filtering for multi-temperature state of charge estimation of lithium-ion batteries. Ionics [online], Latest Articles. Available from: https://doi.org/10.1007/s11581-025-06343-9

The new energy revolution is fundamentally reshaping the global energy structure. Power lithium batteries face issues such as charge-discharge imbalance and limited endurance. To enhance the performance and economic efficiency of power lithium batter... Read More about An improved bidirectional long short-term memory hybrid neural network with Gaussian filtering for multi-temperature state of charge estimation of lithium-ion batteries..

MSLKCNN: a simple and powerful multi-scale large kernel CNN for hyperspectral image classification. (2025)
Journal Article
LIU, X., NG, A.H.-M., LEI, F., REN, J. GUO, L. and DU, Z. 2025. MSLKCNN: a simple and powerful multi-scale large kernel CNN for hyperspectral image classification. IEEE transactions on geoscience and remote sensing [online], 63, article number 5513314. Available from: https://doi.org/10.1109/TGRS.2025.3566616

Deep learning-based hyperspectral image (HSI) classification models typically utilize multiple feature extraction layers to learn the features of land covers. Nevertheless, they encounter challenges, e.g., 1) Transformers require substantial computat... Read More about MSLKCNN: a simple and powerful multi-scale large kernel CNN for hyperspectral image classification..

Beyond transformative community engagement: the evasion and contact zones of a European climate change project. (2025)
Journal Article
NIELSEN, J.A.E., STAVRIANAKIS, K., and MORRISON, Z. [2025]. Beyond transformative community engagement: the evasion and contact zones of a European climate change project. Local environment [online], Latest Articles. Available from: https://doi.org/10.1080/13549839.2025.2496167

This paper argues that to understand how community engagement shapes relationships between Climate Change Projects (CCPs) and communities it is necessary to examine the social spaces of contact and evasion zones. In contrast to residual modernist per... Read More about Beyond transformative community engagement: the evasion and contact zones of a European climate change project..

An exploration of student experiences and perceptions of a physiotherapy student-led clinic. (2025)
Journal Article
WYNNE, D., HANCOCK, E., STAGE, E. and COOPER, K. 2025. An exploration of student experiences and perceptions of a physiotherapy student-led clinic. Internet journal of allied health sciences and practice [online], 23(2), article number 19. Available from: https://nsuworks.nova.edu/ijahsp/vol23/iss2/19/

Student-Led Clinics (SLCs) offer a structured, real-life learning environment for healthcare students, where they provide services under supervision. SLCs can facilitate increased confidence with clinical reasoning, improve skill development and enha... Read More about An exploration of student experiences and perceptions of a physiotherapy student-led clinic..

Now you see them, now you don't: will technological advancement erode the gains made by women entrepreneurship in Sub-Saharan Africa? [Article] (2025)
Journal Article
IRENE, B., ONOSHAKPOR, C., LOCKYER, J., CHUKWUMA-NWUBA, K. and NDEH, S. [2025]. Now you see them, now you don't: will technological advancement erode the gains made by women entrepreneurship in Sub-Saharan Africa? Journal of international entrepreneurship [online], Online First. Available from: https://doi.org/10.1007/s10843-025-00392-x

As global economic activity gains momentum post-COVID-19, assessing local economic recovery remains essential for shaping policies that foster inclusive growth. In countries such as South Africa, which contends with enduring unemployment and signific... Read More about Now you see them, now you don't: will technological advancement erode the gains made by women entrepreneurship in Sub-Saharan Africa? [Article].

An improved pelican optimization-kernel extreme learning machine for highly accurate state of charge estimation of lithium-ion batteries in energy storage systems. (2025)
Journal Article
LI, S., WANG, S., CAO, W., ZHANG, L. and FERNANDEZ, C. [2025]. An improved pelican optimization-kernel extreme learning machine for highly accurate state of charge estimation of lithium-ion batteries in energy storage systems. Ionics [online], Online First. Available from: https://doi.org/10.1007/s11581-025-06327-9

The accurate estimation of the state of charge (SOC) of lithium-ion batteries is crucial for real-time monitoring and safety control. This paper proposes a novel method for estimating SOC by optimizing the kernel extreme learning machine (KELM) with... Read More about An improved pelican optimization-kernel extreme learning machine for highly accurate state of charge estimation of lithium-ion batteries in energy storage systems..

A novel multi–input–multi–output–fuzzy uncoupling model parameter identification strategy for the online state of charge estimation of high-power lithium-ion batteries. (2025)
Journal Article
LIU, D., LI, X., WANG, S., FAN, Y. and FERNANDEZ, C. [2025]. A novel multi–input–multi–output–fuzzy uncoupling model parameter identification strategy for the online state of charge estimation of high-power lithium-ion batteries. Ionics [online], Online First. Available from: https://doi.org/10.1007/s11581-025-06330-0

Due to the strong nonlinear characteristics of multi-state coupling of physical fields such as different charge states and discharge rates in lithium-ion batteries, it poses a great challenge for the parameter identification of the model and the esti... Read More about A novel multi–input–multi–output–fuzzy uncoupling model parameter identification strategy for the online state of charge estimation of high-power lithium-ion batteries..

Optimizing hole transport materials and electrodes for enhanced performance in RbGeBr3-based on perovskite solar cells utilizing fullerene as an electron transport material. (2025)
Journal Article
VALIZADEH, S., SHOKRI, A., LAWAL, S.M. and FOUGH, N. 2025. Optimizing hole transport materials and electrodes for enhanced performance in RbGeBr3-based on perovskite solar cells utilizing fullerene as an electron transport material. Results in physics [online], 73, article number 108280. Available from: https://doi.org/10.1016/j.rinp.2025.108280

In this work, the behavior of the electron transport material C60 and various organic and inorganic hole transfer materials, along with an inorganic perovskite material RbGeBr3, has studied in different perovskite solar cells. The finite element meth... Read More about Optimizing hole transport materials and electrodes for enhanced performance in RbGeBr3-based on perovskite solar cells utilizing fullerene as an electron transport material..

Time-evolved metrics for safety pharmacological assessments of small molecules and biologics. (2025)
Journal Article
SRINIVASAN, B. 2025. Time-evolved metrics for safety pharmacological assessments of small molecules and biologics. British journal of pharmacology [online], 182(13), pages 2831-2841. Available from: https://doi.org/10.1111/bph.70064

Safety of a small-molecule drug is oftentimes a more important criterion than efficacy in determining drug approval. Aspects of safety pharmacological and toxicological liabilities, often resulting from dose-dependent undesirable interaction with eit... Read More about Time-evolved metrics for safety pharmacological assessments of small molecules and biologics..

The beau idéal has been disconnected: a technology-capitalist realism perspective on immediate modernity's anxiety pandemic. (2025)
Journal Article
ADAMS, N.N. [2025]. The beau idéal has been disconnected: a technology-capitalist realism perspective on immediate modernity's anxiety pandemic. Culture unbound [online], Advance Articles. Available from: https://doi.org/10.3384/cu.4513

Within immediate modernity, increases in the multitude of psychological, social, emotional and behavioural disruptions affecting human actors, categorised under the (reductive) label of "anxiety" are reaching an apex. This peak can be conceptualised... Read More about The beau idéal has been disconnected: a technology-capitalist realism perspective on immediate modernity's anxiety pandemic..

Assessing IoT intrusion detection computational costs when using a convolutional neural network. (2025)
Journal Article
NICHO, M., CUSACK, B., MCDERMOTT, C.D. and GIRIJA, S. 2025. Assessing IoT intrusion detection computational costs when using a convolutional neural network. Information security journal [online], Latest Articles. Available from: https://doi.org/10.1080/19393555.2025.2496327

IoT systems face vulnerabilities due to their data processing requirements and resource constraints. With 13 billion connected devices globally, this research investigates the economic viability of AI-based intrusion detection systems (IDSs), specifi... Read More about Assessing IoT intrusion detection computational costs when using a convolutional neural network..

Comparison of the self-healing behaviour of 60Sn40Pb and 99.3Sn0.7Cu solder alloy reinforced Al6061 MMCs’. (2025)
Journal Article
MANTHA, S.R.V., KUMAR, G.B.V., PRAMOD, R., RAO, C.S.P., SAHARUDIN, M.S. and SAHU, S.K. 2025. Comparison of the self-healing behaviour of 60Sn40Pb and 99.3Sn0.7Cu solder alloy reinforced Al6061 MMCs'. Journal of manufacturing and materials processing [online], 9(5), article number 141. Available from: https://doi.org/10.3390/jmmp9050141

The self-healing characteristics of Al6061 reinforced with CuO have been examined experimentally. The solder alloys 60Pb40Sn and 99.3Sn0.7Cu with low melting points are incorporated to strengthen the Al6061 MMCs'; the self-healing properties have bee... Read More about Comparison of the self-healing behaviour of 60Sn40Pb and 99.3Sn0.7Cu solder alloy reinforced Al6061 MMCs’..

Unsupervised domain adaptation for VHR urban scene segmentation via prompted foundation model-based hybrid training joint-optimized network. (2025)
Journal Article
LYU, S., ZHAO, Q., SUN, Y., CHENG, G., HE, Y., WANG, G., REN, J. and SHI, Z. 2025. Unsupervised domain adaptation for VHR urban scene segmentation via prompted foundation model based hybrid training joint-optimized network. IEEE transactions on geoscience and remote sensing [online], 63, article number 4409117. Available from: https://doi.org/10.1109/tgrs.2025.3564216

Unsupervised Domain Adaptation for Remote Sensing Semantic Segmentation (UDA-RSSeg) is to adapt a model trained on the source domain data to the target domain samples, thereby minimizing the need for annotated data across diverse remote sensing scene... Read More about Unsupervised domain adaptation for VHR urban scene segmentation via prompted foundation model-based hybrid training joint-optimized network..

Systems for assessing the certainty or confidence of evidence in healthcare: a scoping review protocol. (2025)
Journal Article
LIZARONDO, L., LOVEDAY, H., SALMOND, S., COOPER, K., GODFREY, C., POLLOCK, D., RIEGER, K., VANDYK, A., JANAKIRAM, C., NISHA, K., FIORINI, J. and STERN, C. 2025. Systems for assessing the certainty or confidence of evidence in healthcare: a scoping review protocol. JBI evidence synthesis [online], Online First. Available from: https://doi.org/10.11124/JBIES-24-00556

This scoping review aims to identify existing systems, frameworks, and approaches for assessing certainty or confidence in quantitative, qualitative, and mixed methods evidence, providing a foundation for developing a unified framework tailored to mi... Read More about Systems for assessing the certainty or confidence of evidence in healthcare: a scoping review protocol..

Towards explainable metaheuristics: feature mining of search trajectories through principal component projection. (2025)
Journal Article
FYVIE, M., MCCALL, J.A.W. and CHRISTIE, L.A. 2005. Towards explainable metaheuristics: feature mining of search trajectories through principal component projection. ACM transactions on evolutionary learning and optimization [online], 5(2), article number 12. Available from: https://doi.org/10.1145/3731456

While population-based metaheuristics have proven useful for refining and improving explainable AI systems, they are seldom the focus of explanatory approaches themselves. This stems from their inherently stochastic, population-driven searches, which... Read More about Towards explainable metaheuristics: feature mining of search trajectories through principal component projection..

Integrating predictive and hybrid machine learning approaches for optimizing solar still performance: a comprehensive review. (2025)
Journal Article
ELSHEIKH, A., FAQEHA, H., HAMMOODI, K.A., BAWAHAB, M., FUJII, M., SHANMUGAN, S., ESSA, F.A., ABD-ELAZIEM, W., RAMESH, B., SATHYAMURTHY, R. and EGIZA, M. 2025. Integrating predictive and hybrid machine learning approaches for optimizing solar still performance: a comprehensive review. Solar energy [online], 295, article number 113536. Available from: https://doi.org/10.1016/j.solener.2025.113536

The increasing global need for freshwater, coupled with the imperative for sustainable and energy-efficient solutions, has fueled interest in solar distillation technologies. Solar stills (SSs) offer a simple, low-cost and environmentally friendly ap... Read More about Integrating predictive and hybrid machine learning approaches for optimizing solar still performance: a comprehensive review..

Young men with intellectual disabilities' perceptions of HPV and HPV vaccine: a qualitative study on how to communicate HPV vaccine information. (2025)
Journal Article
CARNEGIE, E., GRAY-BRUNTON, C., KENNEDY, C., POW, J., WILLIS, D. and WHITTAKER, A. 2025. Young men with intellectual disabilities' perceptions of HPV and HPV vaccine: a qualitative study on how to communicate HPV vaccine information. Human vaccines and immunotherapeutics [online], 21(1), article number 2491857. Available from: https://doi.org/10.1080/21645515.2025.2491857

The success of vaccination programs relies on acceptance of recommended vaccines by communities and individuals. There is a paucity of evidence regarding how young men with intellectual disabilities actively produce or receive inclusive and accessibl... Read More about Young men with intellectual disabilities' perceptions of HPV and HPV vaccine: a qualitative study on how to communicate HPV vaccine information..