Overview of the development of the biomarkers in the motor, exteroceptive, interoceptive, and cerebral domains. by Marialuisa Gandolfi (8639238)

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The schedule of enrolment, interventions, and assessments. by Marialuisa Gandolfi (8639238)

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Parameters of stimuli used in the study. by Elnaz Nemati (21402730)

“…<div><p>This study introduces a neurobiologically inspired computational model based on the predictive coding algorithm, providing insights into coherent motion detection processes. …”

Settings of simulation scenarios and the resulting percentages of NAs obtained from simulations. by Sofia Tagliaferro (20291213)

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Descriptive statistics of pollen data in the pollen season 2022. by Sofia Tagliaferro (20291213)

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Location of the selected monitoring stations in the Northeast of Italy and the respective pollen time series for the year 2022. by Sofia Tagliaferro (20291213)

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Distribution of the median Root Mean Square Error (RMSE) values for pollen/station by imputation method. by Sofia Tagliaferro (20291213)

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Distribution of median Root Mean Square Error (RMSE) for the Variation Index by pollen/station. by Sofia Tagliaferro (20291213)

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Scheme depicting the original dataset of daily pollen concentrations for the period 2018–2022 and time series extracted for the simulation study. by Sofia Tagliaferro (20291213)

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Association estimates (Exp(β) representing ratios of geometric means) with 95%CI between the Root Mean Square Error (RMSE) and covariates (imputation method, % of NAs, and gap leng... by Sofia Tagliaferro (20291213)

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Example of generation of missing values (NAs) and resulting dataset for <i>Alnus</i> BZ2. by Sofia Tagliaferro (20291213)

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Correlation matrices of handcrafted features before and after feature selection. The figure presents two heatmaps illustrating the correlation among 52 handcrafted features derived... by Quang Dung Dinh (20995766)

NSGA-III algorithm flow chart. by Manxian Yang (20521600)

“…In addressing the issue of scheduling multiple machines across multiple fields, a two-stage optimization method, referred to as the BNSGA-III algorithm, is introduced. This algorithm integrates the NSGA-III algorithm with Beluga Whale Optimization (BWO), adaptive parameter adjustment, and Adaptive Inversion Crossover (AIC). …”

Optimization results of MBB multi-material structure under different methods. (a) A level-set method for multi-material topology optimization [33]. (b) An alternating active-phase... by Zhao Li (300229)

Beluga Whale Optimization algorithm flow chart. by Manxian Yang (20521600)

“…In addressing the issue of scheduling multiple machines across multiple fields, a two-stage optimization method, referred to as the BNSGA-III algorithm, is introduced. This algorithm integrates the NSGA-III algorithm with Beluga Whale Optimization (BWO), adaptive parameter adjustment, and Adaptive Inversion Crossover (AIC). …”

Dialogue Propositional Content Replacement (DPCR) code by Jacopo Amidei (10511297)

“…<p dir="ltr">This resource consists of a Python notebook with code that was implemented for a research project that developed a novel method for testing the components of theories of (dialogue) coherence through utterance substitution. …”

Execution time comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset. by Liyan Sun (760586)

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F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 1000 dataset. by Liyan Sun (760586)

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Genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

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Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 1000 dataset. by Liyan Sun (760586)

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