Cyber attacks in cyber-physical microgrid systems: A comprehensive review

S Suprabhath Koduru, VSP Machina, S Madichetty - Energies, 2023 - mdpi.com
The importance of and need for cyber security have increased in the last decade. The critical
infrastructure of the country, modeled with cyber-physical systems (CPS), is becoming …

Boosting kernel search optimizer with slime mould foraging behavior for combined economic emission dispatch problems

R Dong, L Sun, L Ma, AA Heidari, X Zhou… - Journal of Bionic …, 2023 - Springer
Reducing pollutant emissions from electricity production in the power system positively
impacts the control of greenhouse gas emissions. Boosting kernel search optimizer (BKSO) …

Machine learning for subsurface geological feature identification from seismic data: Methods, datasets, challenges, and opportunities

L Lin, Z Zhong, C Li, A Gorman, H Wei, Y Kuang… - Earth-science …, 2024 - Elsevier
Identification of geological features from seismic data such as faults, salt bodies, and
channels, is essential for studies of the shallow Earth, natural disaster forecasting and …

Robust runoff prediction with explainable artificial intelligence and meteorological variables from deep learning ensemble model

J Wu, Z Wang, J Dong, X Cui, S Tao… - Water Resources …, 2023 - Wiley Online Library
Accurate runoff forecasting plays a vital role in issuing timely flood warnings. Whereas,
previous research has primarily focused on historical runoff and precipitation variability …

Dynamic mechanism-assisted artificial bee colony optimization for image segmentation of COVID-19 chest X-ray

J Chen, Z Cai, AA Heidari, L Liu, H Chen, J Pan - Displays, 2023 - Elsevier
The artificial bee colony optimization (ABC) algorithm operates efficiently and converges
well but still suffers from the problem of easily falling into local optimum, and there is room …

Mineral prospectivity mapping over the Gomoa Area of Ghana's southern Kibi-Winneba belt using support vector machine and naive bayes

ED Forson, PO Amponsah - Journal of African Earth Sciences, 2023 - Elsevier
Geospatial modeling of mineral prospective regions is essential, owing to its significant
contribution towards the development and economic gains of many mineral-endowed …

Diagnostic ability of deep learning in detection of pancreatic tumour

MG Dinesh, N Bacanin, SS Askar, M Abouhawwash - Scientific Reports, 2023 - nature.com
Pancreatic cancer is associated with higher mortality rates due to insufficient diagnosis
techniques, often diagnosed at an advanced stage when effective treatment is no longer …

Computational intelligence models for predicting the frictional resistance of driven pile foundations in cold regions

S Chen, H Zhang, KI Zykova, HG Touchaei… - Computers and …, 2023 - koreascience.kr
Numerous studies have been performed on the behavior of pile foundations in cold regions.
This study first attempted to employ artificial neural networks (ANN) to predict pile-bearing …

Integrating multi-criteria decision-making with hybrid deep learning for sentiment analysis in recommender systems

S Angamuthu, P Trojovský - PeerJ Computer Science, 2023 - peerj.com
Expert assessments with pre-defined numerical or language terms can limit the scope of
decision-making models. We propose that decision-making models can incorporate expert …

AI-based solution on the efficient structural design of the graphene-platelets reinforced concrete ceilings

W Yang, G Yan, EM Awwad… - Mechanics of Advanced …, 2024 - Taylor & Francis
Due to the importance of safety in the process of structural designing of the modern
buildings' ceiling, this study gravitates on a novel topic of analyzing thermoelastic response …