Cutting-edge approaches in intrusion detection systems: a systematic review of deep learning, reinforcement learning, and ensemble techniques.

Kalpani, Nethma; Rodrigo, Nureka; Seneviratne, Dilmi; Ariyadasa, Subhash; Senanayake, Janaka

doi:10.1007/s42044-025-00246-8

Improved particle swarm optimization-adaptive dual extended Kalman filtering for accurate battery state of charge and state of energy joint estimation with efficient core factor feedback correction. (2025)
Journal Article
WANG, S., WU, Y., ZHOU, H., ZHANG, Q., FERNANDEZ, C. and BLAABJERG, F. 2025. Improved particle swarm optimization-adaptive dual extended Kalman filtering for accurate battery state of charge and state of energy joint estimation with efficient core factor feedback correction. Energy [online], 322, article number 135686. Available from: https://doi.org/10.1016/j.energy.2025.135686

With the rapid development of electric vehicles, the accuracy requirement for lithium-ion battery state feedback is increasing. However, traditional algorithms cannot achieve the desired accuracy. For this purpose, this article focuses on the ternary... Read More about Improved particle swarm optimization-adaptive dual extended Kalman filtering for accurate battery state of charge and state of energy joint estimation with efficient core factor feedback correction..

Challenges and developments in wire arc additive manufacturing of steel: a review. (2025)
Journal Article
DEKIS, M., TAWFIK, M., EGIZA, M. and DEWIDAR, M. 2025. Challenges and developments in wire arc additive manufacturing of steel: a review. Results in engineering [online], 26, article number 104657. Available from: https://doi.org/10.1016/j.rineng.2025.104657

Wire Arc Additive Manufacturing (WAAM) offers significant potential for enhancing steel component production. This review addresses critical challenges associated with WAAM, including defect formation, process optimization, and property enhancement.... Read More about Challenges and developments in wire arc additive manufacturing of steel: a review..

Neutron diffraction assessment at extreme temperatures to gain insights into the performance of thermocouple coatings. Part 2. [Dataset] (2025)
Data
IRUNGU, B., FAISAL, N., LEE, T.L., GOEL, S. and ISMAIL, M.A.E. 2025. Neutron diffraction assessment at extreme temperatures to gain insights into the performance of thermocouple coatings. Part 2. [Dataset]. Hosted on STFC ISIS neutron and muon source data journal [online]. Available from: https://doi.org/10.5286/ISIS.E.RB2510004-2

This project investigates the behaviour of Chromel-Alumel K-type thermocouples under extreme temperature conditions, focusing on coatings produced through thermal spray processes. These thermocouples, widely used in industrial and aerospace applicati... Read More about Neutron diffraction assessment at extreme temperatures to gain insights into the performance of thermocouple coatings. Part 2. [Dataset].

Neutron diffraction assessment at extreme temperatures to gain insights into the performance of thermocouple coatings. Part 1. [Dataset] (2025)
Data
IRUNGU, B., FAISAL, N., LEE, T.L., GOEL, S. and ISMAIL, M.A.E. 2025. Neutron diffraction assessment at extreme temperatures to gain insights into the performance of thermocouple coatings. Part 1. [Dataset]. Hosted on STFC ISIS neutron and muon source data journal [online]. Available from: https://doi.org/10.5286/ISIS.E.RB2510004-1

This project investigates the behaviour of Chromel-Alumel K-type thermocouples under extreme temperature conditions, focusing on coatings produced through thermal spray processes. These thermocouples, widely used in industrial and aerospace applicati... Read More about Neutron diffraction assessment at extreme temperatures to gain insights into the performance of thermocouple coatings. Part 1. [Dataset].

Understanding teacher educators' quality of life: insights from the PERMA model. (2025)
Journal Article
FITZSIMONS, S., BOAG, L. and SMITH, D.S. 2025. Understanding teacher educators' quality of life: insights from the PERMA model. Applied research in quality of life [online], Online First. Available from: https://doi.org/10.1007/s11482-025-10435-z

Teacher Educators (TE) are a specific category of Higher Education (HE) academics whose primary responsibility is the preparation of Pre-Service Teachers (PSTs) for the Early Childhood, Primary, Secondary, and Further Education and Training contexts.... Read More about Understanding teacher educators' quality of life: insights from the PERMA model..

Multi-compartmental risk assessment of heavy metal contamination in soil, plants and wastewater: a model from industrial Gazipur, Bangladesh. (2025)
Journal Article
SAHEN, M.S., NAIM, M.A.H.K., HOSEN, M.S., PRANTA, M.A., HASAN, M., RAHMAN, M.M., RAHMAN, S. and WELGAMAGE DON, A. 2025. Multi-compartmental risk assessment of heavy metal contamination in soil, plants and wastewater: a model from industrial Gazipur, Bangladesh. Environmental monitoring and assessment [online], 197(4), article number 397. Available from: https://doi.org/10.1007/s10661-025-13818-9

Heavy metal contamination in industrial-agricultural regions poses global challenges, yet comprehensive risk assessment models addressing both ecological and human health impacts are scarce. This study introduces a novel multi-compartmental risk asse... Read More about Multi-compartmental risk assessment of heavy metal contamination in soil, plants and wastewater: a model from industrial Gazipur, Bangladesh..

Inequalities of provision of nationally funded clinical academic training awards for healthcare professionals: quantitative comparisons across the four nations of the UK. (2025)
Journal Article
PETERS, A., CAMERON, H., CUNNINGHAM, S., DAWKES, S., DONALDSON, J., HUGHES, L., SAVINC, J. and MACARTHUR, J. 2025. Inequalities of provision of nationally funded clinical academic training awards for healthcare professionals: quantitative comparisons across the four nations of the UK. Journal of research in nursing [online], Online First. Available from: https://doi.org/10.1177/17449871241291947

There is a common perception that investment in clinical academic training awards for healthcare professions (not medicine and dentistry) in England outweighs that in the devolved nations (Scotland, Wales, and Northern Ireland) of the United Kingdom.... Read More about Inequalities of provision of nationally funded clinical academic training awards for healthcare professionals: quantitative comparisons across the four nations of the UK..

Why we must stop assuming and estimating menstrual cycle phases in laboratory and field-based sport related research. (2025)
Journal Article
ELLIOTT-SALE, K.J., ALTINI, M., DOYLE-BAKER, P. et al. 2025. Why we must stop assuming and estimating menstrual cycle phases in laboratory and field-based sport related research. Sports medicine [online], Latest Articles. Available from: https://doi.org/10.1007/s40279-025-02189-3

The increased growth, popularity, and media interest in women's sport has led to calls for greater prioritisation of female-specific research and innovation. In response, science and medicine researchers have increased the volume of sport-related stu... Read More about Why we must stop assuming and estimating menstrual cycle phases in laboratory and field-based sport related research..

AlignLLM: alignment-based evaluation using ensemble of LLMs-as-judges for Q &A. (2025)
Presentation / Conference Contribution
ABEYRATNE, R., WIRATUNGA, N., MARTIN, K., NKISI-ORJ, I. and JAYAWARDENA, L. [2025]. AlignLLM: alignment-based evaluation using ensemble of LLMs-as judges for Q&A. In Case-based reasoning research and development: proceedings of the 33rd International conference on case-based reasoning 2025 (ICCBR 2025), 30 June - 3 July 2025, Biarritz, France. Lecture notes in computer science (LNCS), TBC. Cham: Springer [online], (forthcoming).

Evaluating responses generated by large language models (LLMs) is challenging in the absence of ground-truth knowledge, particularly in specialised domains such as law. Increasingly, LLMs themselves are used to evaluate the responses they generate; h... Read More about AlignLLM: alignment-based evaluation using ensemble of LLMs-as-judges for Q &A..

Entropy guidance hierarchical rich-scale feature network for remote sensing image semantic segmentation of high resolution. (2025)
Journal Article
ZHANG, H., LI, L., XIE, X., HE, Y., REN, J. and XIE, G. 2025. Entropy guidance hierarchical rich-scale feature network for remote sensing image semantic segmentation of high resolution. Applied intelligence [online], 55(6), article number 528. Available from: https://doi.org/10.1007/s10489-025-06433-1

Semantic segmentation of high-resolution remote sensing images (HRRSIs) is crucial for a wide range of applications, such as urban planning and disaster management. However, in HRRSIs, existing multiscale feature extraction and fusion methods often f... Read More about Entropy guidance hierarchical rich-scale feature network for remote sensing image semantic segmentation of high resolution..

Head shot! Artefatti del giocare interventista: le schermate estese di Joseph DeLappe. (2025)
Book Chapter
DELAPPE, J. and LEUZZI, L. 2025. Head shot! Artefatti del giocare interventista: le schermate estese di Joseph DeLappe. In Bittanti, M. and De Mutiis, M. (eds.) Fotoludica: fotografia e videogiochi tra arte e documentazione. Milan: Mimesis Edizioni [online], pages 459-491. Available from: https://milanmachinimafestival.org/fotoludica-book

In this chapter DeLappe and Leuzzi argue that screenshots and other artefacts created to document Joseph DeLappe's performative, activist, and interventionist actions within contemporary game spaces are at once inspired by war photography while also... Read More about Head shot! Artefatti del giocare interventista: le schermate estese di Joseph DeLappe..

From learning to action: exploring barriers and strategies for embedding lessons learned through a social learning lens. (2025)
Journal Article
OSOBAJO, O.A., LAWANI, A., OKE, A., KAMUDYARIWA, X.B. and ADEBAYO, Y. 2025. From learning to action: exploring barriers and strategies for embedding lessons learned through a social learning lens. International journal of managing projects in business [online], 18(2), pages 331-352. Available from: https://doi.org/10.1108/ijmpb-10-2024-0250

The purpose of this study is to explore the barriers to implementing lessons learned in project-based organisations and how they can be effectively captured and embedded to create knowledge that drives project success and organisational performance.... Read More about From learning to action: exploring barriers and strategies for embedding lessons learned through a social learning lens..

From pixels to perspectives: exploring perceptions of representation in character design. (2025)
Presentation / Conference Contribution
TANG, N.L., MOON, E.E., GARRIDO INIGUEZ, J.D.J., RAMIREZ, D.R.M. and GARDNER, D.L. 2025. From pixels to perspectives: exploring perceptions of representation in character design. Information research [online], 30(iCONF 2025): proceedings of the 20th International conference 2025 (iConf 2025): living in an AI-gorithmic world, 18-22 March 2025, Bloomington, ID, USA, pages 1180-1201. Available from: https://doi.org/10.47989/ir30iConf46939

This study presents findings about perceptions of how women characters are introduced in a sample of six best-selling games. Our analysis adds to ongoing conversations about representation in games and media, encouraging both designers and researcher... Read More about From pixels to perspectives: exploring perceptions of representation in character design..

Evaluating cross-domain sentiment analysis using convolutional neural network for Amazon dataset. (2025)
Journal Article
AZIZ, A.A., OTHMAN, A.N., EZENKWU, P. and MADI, E.N. 2025. Evaluating cross-domain sentiment analysis using convolutional neural network for Amazon dataset. Journal of advanced research in applied sciences and engineering technology [online], 63(2), pages 207-214. Available from: https://doi.org/10.37934/araset.63.2.207214

Sentiment Analysis (SA) has garnered extensive research attention over the past decades as a means to comprehend users' attitudes and opinions in various domains. With the proliferation of online communities and the rapid generation of social media c... Read More about Evaluating cross-domain sentiment analysis using convolutional neural network for Amazon dataset..

The lifecycle of a social media beauty trend: a case study of the Instagram body. [Article] (2025)
Journal Article
UTI, T. and MARCELLA-HOOD, M. 2025. The lifecycle of a social media beauty trend: a case study of the Instagram body. Cogent arts and humanities [online], 12(1), article number 2472544. Available from: https://doi.org/10.1080/23311983.2025.2472544

This article explores the evolution of the Instagram body as an example of a social media beauty trend and theorises an updated lifecycle model to convey this phenomenon. The advent and evolution of social media has led to an online beauty culture an... Read More about The lifecycle of a social media beauty trend: a case study of the Instagram body. [Article].

Microplastics in agricultural soils following sewage sludge applications: evidence from a 25-year study. (2025)
Journal Article
RAMAGE, S.J.F.F., COULL, M., COOPER, P., CAMPBELL, C.D., PRABHU, R., YATES, K., DAWSON, L.A., DEVALLA, S. and PAGALING, E. 2025. Microplastics in agricultural soils following sewage sludge applications: evidence from a 25-year study. Chemosphere [online], 376, article number 144277. Available from: https://doi.org/10.1016/j.chemosphere.2025.144277

Sewage sludges applied to agricultural soils are sources of microplastic pollution, however, little is known about the accumulation, persistence, or degradation of these microplastics over time. This is the first study to provide long-term, high temp... Read More about Microplastics in agricultural soils following sewage sludge applications: evidence from a 25-year study..

MDDNet: multilevel difference-enhanced denoise network for unsupervised change detection in SAR images. (2025)
Presentation / Conference Contribution
ZONG, H., ZHANG, E., LI, X., ZHANG, H. and REN, J. 2025. MDDNet: multilevel difference-enhanced denoise network for unsupervised change detection in SAR images. In Proceedings of the 50th IEEE (Institute of Electrical and Electronics Engineers) International conference on acoustics, speech and signal processing 2025 (ICASSP 2025), 6-11 April 2025, Hyderabad, India. Piscataway: IEEE [online], article number 576. Available from: https://doi.org/10.1109/icassp49660.2025.10887943

Change detection in synthetic aperture radar (SAR) images is a hot yet highly challenging task in remote sensing. Existing unsupervised SAR change detection methods often struggle with inherent speckle noise and insufficiently utilize pseudo-labels,... Read More about MDDNet: multilevel difference-enhanced denoise network for unsupervised change detection in SAR images..

Circular Economy (Scotland) Act 2024: pioneering sustainable legislation in the United Kingdom. (2025)
Journal Article
MAK, C.H.W. 2025. Circular Economy (Scotland) Act 2024: pioneering sustainable legislation in the United Kingdom. Scots law times [online], 2025(8), pages 63-65. Available from: http://legalresearch.westlaw.co.uk/

The author discusses the scope and application of the Circular Economy (Scotland) Act 2024, which aims to redefine economic practices to promote sustainability and resource efficiency.

A latency-efficient integration of channel attention for ConvNets. (2025)
Journal Article
PARK, W., CHOI, Y., MEKALA, M.S., CHOI, G.S., YOO, K.-Y. and JUNG, H.-Y. 2025. A latency-efficient integration of channel attention for ConvNets. Computers, maerials and continua [online], 82(3), pages 3965-3981. Available from: https://doi.org/10.32604/cmc.2025.059966

Designing fast and accurate neural networks is becoming essential in various vision tasks. Recently, the use of attention mechanisms has increased, aimed at enhancing the vision task performance by selectively focusing on relevant parts of the input.... Read More about A latency-efficient integration of channel attention for ConvNets..

Cutting-edge approaches in intrusion detection systems: a systematic review of deep learning, reinforcement learning, and ensemble techniques. (2025)
Journal Article
KALPANI, N., RODRIGO, N., SENEVIRATNE, D., ARIYADASA, S. and SENANAYAKE, J. 2025. Cutting-edge approaches in intrusion detection systems: a systematic review of deep learning, reinforcement learning, and ensemble techniques. Iran journal of computer science [online], Online First. Available from: https://doi.org/10.1007/s42044-025-00246-8

The growing number of networked devices and complex network infrastructures necessitates robust network security measures. Network intrusion detection systems are crucial for identifying and mitigating malicious activities within network environments... Read More about Cutting-edge approaches in intrusion detection systems: a systematic review of deep learning, reinforcement learning, and ensemble techniques..

All Outputs (8870)