THE EFFECT OF SOIL NAILING INCLINATION FOR IMPROVEMENT OF GYPSUM SAND SOIL IN DIFFERENT SLOPES by Mustafa M. Abdalhusein, Yasir M. Al-Badran, Zuhair Abd Hacheem, Rusul H. Almahmodi, Mohammed S. Mahmood, Susan Mutar N. AlMihna

“…These findings offer valuable insights for improving slope stability in gypsum sand soils and contribute to the optimisation of soil nailing techniques in geotechnical engineering. …”
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Analysis of graphene coatings on various metallic/oxide crystal/composite material substrates using machine learning for enhanced solar thermal energy conversion by Khaled Aliqab, Dhruvik Agravat, Shobhit K. Patel, Ammar Armghan, Naim Ben Ali, Meshari Alsharari

“…A critical inspection of these optothermal properties would enrich one with critical knowledge of design optimisation in graphene-coated solar absorbers. Thus, the data collection time is greatly reduced using ML compared to running simulations which have a step size of about 8 h per change. …”
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Towards a finite element model of a batch of experimental violins: validation on sub-structural components by Meza-Pérez Amaury, Stoppani George, Viala Romain, Gonzalez Sebastian, Igartua Unai, Jardón Rico Roberto, Fritz Claudia

“…This paper explains in detail this optimisation process and show the results for the six top and six back plates. …”
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Optimum Building Design Variables in a Warm Saharan Mediterranean Climate Zone by Aiman Albatayneh, Tarek Tayara, Mustafa Jaradat, Murad Al-Omary, Muna Hindiyeh, Dariusz Alterman, Manal Ishbeytah

“…This research contributes to making residential buildings more efficient in the city of Azraq, Jordan, which is located in a warm climate zone in the Saharan Mediterranean region (classified as a hot desert climate according to the Köppen climate classification). It involved the optimisation of several envelope parameters with the aim of reducing the usage of energy within a normal structure occupying an area of 186 m2 without the occupants’ involvement in saving energy in the building to solely measure the building envelope’s thermal performance. …”
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Eliminating Boundary Layer Separation on a Cylinder with Nonuniform Suction by James Ramsay, Mathieu Sellier, Wei Hua Ho

“…To resolve the best nonuniform suction profile at Re=180, a variety of optimisation studies were performed using the coordinate search method. …”
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MSO‐DETR: Metric space optimization for few‐shot object detection by Haifeng Sima, Manyang Wang, Lanlan Liu, Yudong Zhang, Junding Sun

“…To tackle these issues, we propose a metric space optimisation method based on hyperbolic geometry attention and class‐agnostic activation maps. …”
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Inverse rendering of fusion plasmas: inferring plasma composition from imaging systems by E. Öztürk, R. Akers, S. Pamela, P. Peers, A. Ghosh, The MAST Team

“…Unlike prior work, we are able to leverage arbitrary representations of plasma quantities and easily incorporate them into a non-linear optimisation framework. The efficiency of our method enables not only estimation of a physically plausible image of plasma, but also recovery of the neutral Deuterium distribution from imaging and midplane measurements alone. …”
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Comparative analysis of transfer learning performance on generalised EEG data for use in a depression diagnosis task by Shusharina, Natalia Nikolaevna

“…Although the considered method of transient learning looks promising, the specificity of electroencephalogram signals and problems solved on their basis requires large-scale adaptation of algorithms and contrastive optimisation techniques for effective training of the target task. …”
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Phantom-based investigation of block sequential regularised expectation maximisation (BSREM) reconstruction for zirconium-89 PET-CT for varied count levels by Lara M. Bonney, Matthew D. Walker, Daniel R. McGowan

“…To date there has been limited publication of studies focused on optimisation of acquisition parameters for Zr-89 PET. …”
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Modelling, optimization and characterization of carbon black derived from waste tyre pyrolysis by Odunayo T. Ore, Festus M. Adebiyi

“…The present study establishes the foundation for further investigation into the optimisation of the pyrolysis process, suggesting that different process conditions be explored.…”
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Linear Multivariate Decision Trees for Fast QTMT Partitioning in VVC by Jose N. Filipe, Luis M. N. Tavora, Sergio M. M. Faria, Antonio Navarro, Pedro A. A. Assuncao

“…By exploiting distinct complexity and spatial characteristics of the North, Equator, and South regions in ERP images, the proposed method is devised upon a region-based approach, using novel linear multivariate decision trees to determine whether a given partition type can be skipped. Optimisation of model parameters and an adaptive thresholding method is also presented. …”
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Incorporation of Histogram Intersection and Semantic Information into Non-Negative Local Laplacian Sparse Coding for Image Classification by Ying Shi, Yuan Wan, Xinjian Wang, Huanhuan Li

“…This method integrates Non-negativity and Locality into Laplacian Sparse Coding (NLLSC) optimisation, enhancing coding stability and ensuring that similar features are encoded into similar codewords. …”
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Evaluation of keratometric and total corneal astigmatism measurements from optical biometers and anterior segment tomographers and mapping to reconstructed corneal astigmatism vect... by Achim Langenbucher, Nóra Szentmáry, Alan Cayless, Peter Hoffmann, Jascha Wendelstein, Seth Pantanelli

“…Crossvalidation with model optimisation on the training (and validation) data and performance check on the test data showed a slight overfitting especially with the NET models.…”
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Beyond individual-level factors that influence family planning uptake among women with diabetes mellitus: a systematic literature review by Idayu Badilla Idris, Sarah Awang Dahlan, Rahana Abd Rahman, Azmawati Mohammed Nawi

“…Family planning usage has been one of the components in preconception care among this group of population, especially among women with unoptimised diabetes mellitus, where family planning may allow disease optimisation prior to pregnancy. This systematic review thus aimed to synthesise evidences and improve understanding on the non-individual factors in influencing family planning practice among women with diabetes mellitus. …”
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Rapid Detection of Aluminium and Iron Impurities in Lithium Carbonate Using Water-Soluble Fluorescent Probes by Hong-Mei Wu, Huai-Gang Cheng, Zi-Wen Zhu, Li Cui

“…The real-time measurement of the content of impurities such as iron and aluminium ions is one of the keys to quality evaluation in the production process of high-purity lithium carbonate; however, impurity detection has been a time-consuming process for many years, which limits the optimisation of the production of high-purity lithium carbonate. …”
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A nonrevisiting genetic algorithm based on multi-region guided search strategy by Qijun Wang, Chunxin Sang, Haiping Ma, Chao Wang

“…However, the search efficiency of nonrevisiting genetic algorithms is currently low for some complex optimisation problems. This study proposes a nonrevisiting genetic algorithm with a multi-region guided search to improve the search efficiency. …”
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Snow effects on brash ice and level ice growth by Vasiola Zhaka, Robert Bridges, Kaj Riska, Jonny Nilimaa, Andrzej Cwirzen

“…Accurate prediction of brash ice thickness plays an important role in addressing operational challenges and optimisation of ice management strategies. This study enhances existing brash ice growth models by considering the effects of snow and accounting for brash ice expulsion towards the sides of ship channels at each passage. …”
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Micro-X-ray-CT for analysis of particle size segregation during powder spreading in Binder Jet Printing by Julia G. Behnsen, Joseph W. Roberts, Oliver J. Rogan, James M. McArdle, Kate Black

“…The insights gained from the Micro-X-ray-CT characterisation approach allow for an enhanced understanding of the powder spreading process in additive manufacturing, paving the way forward for possible part optimisation.…”
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Development and validation of machine-learning models for predicting the risk of hypertriglyceridemia in critically ill patients receiving propofol sedation using retrospective dat... by Jiawen Deng, Hemang Yadav, Kiyan Heybati

“…Six ML algorithms will be tuned and evaluated. Bayesian optimisation will be used for hyperparameter selection. …”
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Scoliosis Surgery in Cystic Fibrosis: Surgical Considerations and the Multidisciplinary Approach of a Rare Case by George I. Mataliotakis, Athanasios I. Tsirikos, Karen Pearson, Don S. Urquhart, Carolyn Smith, Andrew Fall

“…Preoperative workup included respiratory, cardiac, anaesthetic, endocrine, and dietician reviews, as well as bone density optimisation with zoledronic acid and prophylactic antibiotics. …”
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