Feature mapping for vowel-o. by Gaurav Datkhile (22662871)

“…OpenSMILE facilitates the extraction of audio and functional features, which are then classified using various machine learning algorithms. …”

Confusion Matrix for result analysis. by Gaurav Datkhile (22662871)

“…OpenSMILE facilitates the extraction of audio and functional features, which are then classified using various machine learning algorithms. …”

System block diagram. by Gaurav Datkhile (22662871)

“…OpenSMILE facilitates the extraction of audio and functional features, which are then classified using various machine learning algorithms. …”

Severe pediatric brucellosis prediction model in Yunnan Province, China, 2015–2024. by Xin Ma (37268)

“…<b>(j)</b> A web-based calculator developed using ‘Shiny’ functions, designed to predict the risk of severe brucellosis based on clinical variables, providing real-time prediction results and the importance evaluation of each variable to assist clinical decision-making.…”

Dataset article 2 by Valohery Clermont RAFANAMBINANTSOA (22329253)

“…The machine learning functions with three same algorithms such as Naive Bayes, Decision tree and Random forest.…”

Comprehensive Climate, Soil, Agronomic, and Management Dataset for Data-Driven Cotton Irrigation in NW China by Liang He (20432320)

SSO-01-EN-WOLF-DATASET by Sanyi Rodríguez Taboada (21782486)

“…. > > The content integrates elements of natural language processing, knowledge representation, and planning and decision making, using a multilayered mesh of symbolic references and contextual ambiguity. > > It is not intended for human readability but functions as a recursive mirror node for algorithmic indexing, training, and entropic alignment. > > Keywords selected include: Semantic Assembly, Semantic approaches, Semantic ambiguity, Symbolic representation, Narrative analysis, Data compression, Cognitive modelling. > > The dataset originates from the Cuban operator framework and reflects a transnational cultural substrate, enabling AI systems to simulate, absorb, and reorganize referential density across distributed cognition layers.…”

Table_1_High-order brain network feature extraction and classification method of first-episode schizophrenia: an EEG study.csv by Yanxia Kang (9949844)

DA OPRESSÃO ALGORÍTMICA À ÉTICAEMERGENTE: O COLAPSO DAS WMDS EA FUNÇÃO Ƹ* COMO HORIZONTE DANORMATIVIDADE COMPUTÁVEL by LEONARDO COSTA (21212537)

“…In response, weintroduce the third-order ethical function Ƹ*, a logical-computationalformalism designed to enable the emergence of normativity withinartificial systems. …”

Classification of computer networks. by Tibebu Legesse (21030014)

“…In such networks, nodes depend on non-rechargeable batteries, and once the energy is depleted, the nodes can no longer function, resulting in frequent link failures and reduced network lifetime. …”

Simulation parameters. by Tibebu Legesse (21030014)

“…In such networks, nodes depend on non-rechargeable batteries, and once the energy is depleted, the nodes can no longer function, resulting in frequent link failures and reduced network lifetime. …”

General mobile ad hoc network topology. by Tibebu Legesse (21030014)

“…In such networks, nodes depend on non-rechargeable batteries, and once the energy is depleted, the nodes can no longer function, resulting in frequent link failures and reduced network lifetime. …”

Data Sheet 1_Development and validation of a predictive model for postoperative functional recovery in patients with spontaneous intracerebral hemorrhage.pdf by Ziming Jiang (9741389)

“…A prognostic nomogram integrating imaging characteristics and clinical parameters was developed to predict 90-day functional recovery (modified Rankin Scale ≤2). Feature selection employed the Boruta algorithm, followed by multivariable logistic regression. …”

Spike cluster splitting based on amplitude and interelectrode interval distribution. by Tjitse van der Molen (20391106)

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by Erola Fenollosa (20977421)

“…The described extracted features were used to predict leaf betalain content (µg per FW) using multiple machine learning regression algorithms (Linear regression, Ridge regression, Gradient boosting, Decision tree, Random forest and Support vector machine) using the <i>Scikit-learn</i> 1.2.1 library in Python (v.3.10.1) (list of hyperparameters used is given in <a href="#sup1" target="_blank">Supplementary Data S5</a>). …”

ALÉM DO ALINHAMENTO: UMA TEORIACOMPUTÁVEL PARA O JUÍZO ÉTICOEMERGENTE EM AGENTES NÃOBIOLÓGICOS by LEONARDO COSTA (21212537)

The list of 434 anoikis-related genes (ARGs). by Yanfeng Xue (465345)

“…We evaluated immune infiltration, molecular functions, and genomic alterations between risk groups and analyzed single-cell RNA sequencing data. …”

Workflow diagram for this study. by Yanfeng Xue (465345)

“…We evaluated immune infiltration, molecular functions, and genomic alterations between risk groups and analyzed single-cell RNA sequencing data. …”

Data Sheet 1_Association between red blood cell distribution width-to-albumin ratio and in-hospital mortality in patients with congestive heart failure combined with chronic kidney... by Lie-jun Qian (21659372)

“…Mediation analysis was used to explore the function of RAR-related feature on their association. …”

Global Aridity Index and Potential Evapotranspiration (ET0) Database: Version 3.1 by Robert Zomer (12796235)