All Outputs (8870)

From geothermal brine to battery: balancing technological innovation with environmental and social responsibility: a case study from Lithium Valley. (2025)
Presentation / Conference Contribution
ALGAIAR, M. 2025. From geothermal brine to battery: balancing technological innovation with environmental and social responsibility: a case study from Lithium Valley. Presented at the 16th Workshop of the Society of petrophysicists and well log analysts Saudi Arabia chapter 2025 (SPWLA-SAC 16th Workshop) , 7-8 May 2025, Al Khobar, Saudi Arabia.

This study synthesizes current research on lithium extraction, focusing on technological advances, the growing demand for lithium in the energy transition, and the environmental and social challenges associated with its production. It uses the Lithiu... Read More about From geothermal brine to battery: balancing technological innovation with environmental and social responsibility: a case study from Lithium Valley..

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..

Assessing the research scene of green AI via bibliometric analysis. (2025)
Presentation / Conference Contribution
ABDULMALIK, M.R., IBEKE, E., EZENKWU, C.P. and IWENDI, C. [2025]. Assessing the research scene of green AI via bibliometric analysis. In Iwendi, C., Boulouard, Z. and Kryvinska, N. (eds.) Proceedings of the 4th International conference on advances in communication technology and computer engineering (ICACTCE'24): transforming industries: harnessing the power of artificial intelligence and the internet of things, 29-30 November 2024, Marrakech, Morocco. Lecture notes in networks and systems (LNNS), 1313. Cham: Springer [online], volume 2, (forthcoming). To be made available from: https://link.springer.com/book/9783031946226

The environmental impact of artificial intelligence (AI) continues to rise as more people embrace the technology. The optimization of AI models to be more efficient, use less energy, and emit low carbon is essential. This bibliometric study presents... Read More about Assessing the research scene of green AI via bibliometric analysis..

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..

No land is an island, even actual islands: servitudes' benefits and burdens in Scottish law. (2025)
Presentation / Conference Contribution
ODUSANYA, T. 2025. No land is an island, even actual islands: servitudes' benefits and burdens in Scottish law. Presented at the Meeting of the Dundee Law School Scottish Property Law Discussion Group, 30 April 2025, Dundee, UK.

This presentation reflects on the treatment of land ownership rights and law within the context of Scotland. It focuses in particular on "servitudes", i.e. legal rights that allow one property to benefit from another.

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..