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.

Liu, Donglei; Li, Xiaoxia; Wang, Shunli; Fan, Yongcun; Fernandez, Carlos

doi:10.1007/s11581-025-06330-0

Entabolons: how metabolites modify the biochemical function of proteins and cause the correlated behavior of proteins in pathways. (2025)
Journal Article
SKOLNICK, J., SRINIVASAN, B., SKOLNICK, S., EDELMAN, B. and ZHOU, H. 2025. Entabolons: how metabolites modify the biochemical function of proteins and cause the correlated behavior of proteins in pathways. Journal of chemical information and modeling [online], ASAP articles. Available from: https://doi.org/10.1021/acs.jcim.5c00462

Although there are over 100,000 distinct human metabolites, their biological significance is often not fully appreciated. Metabolites can reshape the protein pockets to which they bind by COLIG formation, thereby influencing enzyme kinetics and alter... Read More about Entabolons: how metabolites modify the biochemical function of proteins and cause the correlated behavior of proteins in pathways..

The role of antenatal relaxation practices in enhancing maternal psychological wellbeing and childbirth experiences: an observational study. (2025)
Journal Article
TABIB, M., HUMPHREY, T. and FORBES-MCKAY, K. 2025. The role of antenatal relaxation practices in enhancing maternal psychological wellbeing and childbirth experiences: an observational study. Frontiers in global women's health [online], 6, article number 1597174. Available from: https://doi.org/10.3389/fgwh.2025.1597174

There is growing qualitative evidence that antenatal education on relaxation practices can enable women to deliberately induce a deep state of emotional calmness. Learning to shift focus from distressing emotions such as anxiety and fear to this alte... Read More about The role of antenatal relaxation practices in enhancing maternal psychological wellbeing and childbirth experiences: an observational study..

Blind quality assessment using channel-based structural, dispersion rate scores, and overall saturation and hue for underwater images. (2025)
Journal Article
TOLIE, H.F., REN, J., CAI, J., CHEN, R. and ZHAO, H. 2025. Blind quality assessment using channel-based structural, dispersion rate scores, and overall saturation and hue for underwater images. IEEE journal of oceanic engineering [online], Early Cite. Available from: https://doi.org/10.1109/joe.2025.3553888

In underwater subsea environments light attenuation, water turbidity, and limitations of the optical devices make the captured images suffer from poor contrast and quality, proportional degradation, low visibility, and low color richness. In recent y... Read More about Blind quality assessment using channel-based structural, dispersion rate scores, and overall saturation and hue for underwater images..

Multi-criteria decision-making approach to material selection for abandonment of high-pressure high-temperature (HPHT) wells exposed to harsh reservoir fluids. (2025)
Journal Article
CHUKWUEMEKA, A.O., OLUYEMI, G., MOHAMMED, A.I., ATTAR, S. and NJUGUNA, J. 2025. Multi-criteria decision-making approach to material selection for abandonment of high-pressure high-temperature (HPHT) wells exposed to harsh reservoir fluids. Polymers [online], 17(10), article number 1329. Available from: https://doi.org/10.3390/polym17101329

Portland cement is the primary barrier material for well abandonment. However, the limitations of cement, especially under harsh downhole conditions, are necessitating research into alternative barrier materials. While several alternatives have been... Read More about Multi-criteria decision-making approach to material selection for abandonment of high-pressure high-temperature (HPHT) wells exposed to harsh reservoir fluids..

An exploration into student pharmacists' experiences of practice-based interprofessional education during experiential learning placements. (2025)
Journal Article
DEPASQUALE, C., ARNOLD, A., CUNNINGHAM, S., KERR, A., JACOB, S.A., BOYTER, A., BOYD, M., POWER, A. and ADDISON, B. 2025. An exploration into student pharmacists' experiences of practice-based interprofessional education during experiential learning placements. American journal of pharmaceutical education [online], 89(6), article number 101418. Available from: https://doi.org/10.1016/j.ajpe.2025.101418

This study aimed to explore student pharmacists' experiences of interprofessional education (IPE) during experiential learning (EL) placements. A paper questionnaire was used to collect data; distributed to all penultimate/final year student pharmaci... Read More about An exploration into student pharmacists' experiences of practice-based interprofessional education during experiential learning placements..

Low-rank and sparse representation meet deep unfolding: a new interpretable network for hyperspectral change detection. (2025)
Journal Article
ZHOU, C., HE, Z., DONG, J., LI, Y., REN, J. and PLAZA, A. 2025. Low-rank and sparse representation meet deep unfolding: a new interpretable network for hyperspectral change detection. IEEE transactions on geoscience and remote sensing [online], 63, article number 5513516. Available from: https://doi.org/10.1109/TGRS.2025.3564996

Hyperspectral image change detection (HSI-CD) is a technique that intelligently checks the changed details in bitemporal hyperspectral images (Bi-HSIs). Deep learning (DL), with the ability to model nonlinear changing features, has achieved promising... Read More about Low-rank and sparse representation meet deep unfolding: a new interpretable network for hyperspectral change detection..

Prototype-guided spatial-spectral interaction network for hyperspectral anomaly detection. (2025)
Journal Article
CHENG, X., WANG, C., HUO, Y., ZHANG, M., WANG, H. and REN, J. 2025. Prototype-guided spatial-spectral interaction network for hyperspectral anomaly detection. IEEE transactions on geoscience and remote sensing [online], 63, article number 5516517. Available from: https://doi.org/10.1109/TGRS.2025.3568121

In recent years, deep learning has emerged as one of the most widely utilized techniques in hyperspectral anomaly detection (HAD) with an impressive detection accuracy. However, the investigation into the diverse background representation and the spa... Read More about Prototype-guided spatial-spectral interaction network for hyperspectral anomaly detection..

LKVHAN: multi-scale large kernel vertical-horizontal attention network for hyperspectral image classification. (2025)
Journal Article
LIU, X., NG, A.H.-M., LIAO, X., LEI, F., REN, J. and GE, L. 2025. LKVHAN: multi-scale large kernel vertical-horizontal attention network for hyperspectral image classification. IEEE journal of selected topics in applied earth observations and remote sensing [online], 18, pages 12328-12342. Available from: https://doi.org/10.1109/JSTARS.2025.3567742

Among deep learning-based hyperspectral image (HSI) classification models, convolutional neural networks (CNNs), Transformers, Mamba, and large kernel CNNs (LKCNNs) models have been widely explored for HSI classification. Nonetheless, these models su... Read More about LKVHAN: multi-scale large kernel vertical-horizontal attention network for hyperspectral image classification..

An improved transformer-GRU neural model optimized by polar light optimizer for SOC estimation of lithium-ion batteries under complex operating conditions. (2025)
Journal Article
SHU, X., SHI, H., ZOU, Y., CAO, W. and FERNANDEZ, C. [2025]. An improved transformer-GRU neural model optimized by polar light optimizer for SOC estimation of lithium-ion batteries under complex operating conditions. Ionics [online], Online First. Available from: https://doi.org/10.1007/s11581-025-06353-7

Estimating the battery's state-of-charge (SOC) is essential for determining how safe electric cars are and their remaining range. An SOC estimation technique for lithium-ion batteries based on the Transformer architecture is presented in this paper.... Read More about An improved transformer-GRU neural model optimized by polar light optimizer for SOC estimation of lithium-ion batteries under complex operating conditions..

Coastal community voices: strategic planning for sustainable destination development in a small cold-water archipelago. (2025)
Journal Article
ROITERSHTEIN, A. and IRONSIDE, R. [2025]. Coastal community voices: strategic planning for sustainable destination development in a small cold-water archipelago. Scandinavian journal of hospitality and tourism [online], Latest Articles. Available from: https://doi.org/10.1080/15022250.2025.2499266

Orkney Islands is a popular cold-water archipelago destination for cruise tourism and other marine and coastal tourism activities, where visitor economy plays a key part in the economic development of the islands. However, Orkney's coastal communitie... Read More about Coastal community voices: strategic planning for sustainable destination development in a small cold-water archipelago..

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..

All Outputs (4693)