Results 101 to 110 of about 12,774 (258)

A Field Guide for Soil Erosion Risk Assessment in Olive Orchards Across Mediterranean Conditions for End‐Users and Stakeholders

Land Degradation &Development, EarlyView.
ABSTRACT Soil erosion control poses a crucial challenge to the sustainability of Mediterranean olive groves. To facilitate field‐level decision‐making, we have developed a field guide oriented to use in any type of olive orchard across the Mediterranean.
I. Domenech‐Carretero, G. Guzmán, M. A. Soriano, J. Montoliu, J. A. Gómez   +4 more
wiley   +1 more source

Optimizing Random Forest Parameters with Hyperparameter Tuning for Classifying School-Age KIP Eligibility in West Java

Jambura Journal of Mathematics
Random Forest is an ensemble learning algorithm that combines multiple decision trees to generate a more stable and accurate classification model. This study aims to optimize Random Forest parameters for classifying school-age students' eligibility for ...
Silfiana Lis Setyowati, Asyifah Qalbi, Rafika Aristawidya, Bagus Sartono, Aulia Rizki Firdawanti   +4 more
doaj   +1 more source

Role of High Fidelity Vs. Low Fidelity Experimental Data in Machine Learning Model Performance for Predicting Polymer Solubility

Macromolecular Rapid Communications, EarlyView.
The performance of machine learning models for classifying polymer solubility improves when a high‐fidelity experimental dataset is used compared to a low‐fidelity experimental dataset. This has important implications for justifying the value of spending additional time and resources preparing detailed experimental datasets.
Mona Amrihesari, Manali Banerjee, Raul Olmedo, Blair Brettmann   +3 more
wiley   +1 more source

Enhancing Accuracy by Using Boosting and Stacking Techniques on the Random Forest Algorithm on Data from Social Media X

Ilkom Jurnal Ilmiah
Online loans (commonly referred to as Pinjol) have become a widespread phenomenon in Indonesia, both in legal and illegal forms. It is undeniable that this is in line with the rapid development and innovation of technology.
Teri Ade Putra, Vicky Ariandi, Sarjon Defit   +2 more
doaj   +1 more source

SMOTE-D, Una versión determinista de SMOTE

, 2017
En diferentes aplicaciones prácticas es común que se presente desbalance entre clases. Este problema aparece cuando la cantidad de objetos en una clase es mucho menor que en la otra. Esta diferencia en el tamaño de las clases causa que los métodos de clasificación favorezcan a la clase con mayor cantidad de objetos (mayoritaria), produciendo un mal ...
openaire   +1 more source

Antithrombin: Deficiency, Diversity, and the Future of Diagnostics

Mass Spectrometry Reviews, EarlyView.
ABSTRACT Our healthcare system provides reactive sick‐care, treating patients after symptoms have appeared by prescription of generic and often suboptimal therapy. This strategy brings along high costs and high pressure which is not sustainable.
Mirjam Kruijt, Christa M. Cobbaert, L. Renee Ruhaak   +2 more
wiley   +1 more source

Handling imbalanced samples in landslide susceptibility evaluation

Shuiwen dizhi gongcheng dizhi
In landslide susceptibility assessment, different approaches to handling sample imbalance can introduce significant uncertainty in evaluation outcomes.
You TIAN, Bo GAO, Hong YIN, Yuanling LI, Jiajia ZHANG, Long CHEN, Hongliang LI   +6 more
doaj   +1 more source

SMOTE-I: mejora del algoritmo SMOTE para balanceo de clases minoritarias

, 2023
Ministerio de Educación y Ciencia TIN2007-68084-C02 ...
Moreno, J., Rodríguez García, Daniel, Sicilia, Miguel Ángel, Riquelme Santos, José Cristóbal, Ruiz Sánchez, Roberto   +4 more
openaire   +2 more sources

Sex Differences in Fall Frequency, Risk Factors, and Outcomes in Parkinson's Disease: A Cross‐Sectional Analysis

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Female sex is an independent fall risk factor in Parkinson's disease (PD), yet sex‐specific fall patterns remain unclear. Objectives To compare sex‐specific fall risk and outcomes across PD, prodromal alpha‐synucleinopathy (PAS), and healthy controls (HC); estimate fall frequency across PD progression; and assess how sex modifies ...
Joaquin A. Vizcarra, Kat Hefter, David‐Erick Lafontant, Michael Tran Duong, Ashkan Ertefaie, Brian Litt, Dani S. Bassett, Andrew Siderowf, The Parkinson's Progression Markers Initiative, Kenneth Marek, Caroline Tanner, Tanya Simuni, Andrew Siderowf, Douglas Galasko, Lana Chahine, Christopher Coffey, Kalpana Merchant, Kathleen Poston, Roseanne Dobkin, Tatiana Foroud, Brit Mollenhauer, Dan Weintraub, Ethan Brown, Karl Kieburtz, Mark Frasier, Todd Sherer, Sohini Chowdhury, Roy Alcalay, Aleksandar Videnovic, Duygu Tosun‐Turgut, Werner Poewe, Susan Bressman, Jan Hammer, Raymond James, Ekemini Riley, John Seibyl, Leslie Shaw, David Standaert, Sneha Mantri, Nabila Dahodwala, Michael Schwarzschild, Connie Marras, Hubert Fernandez, Ira Shoulson, Helen Rowbotham, Paola Casalin, Claudia Trenkwalder, Todd Sherer, Sohini Chowdhury, Mark Frasier, Jamie Eberling, Katie Kopil, Alyssa O’Grady, Maggie McGuire Kuhl, Leslie Kirsch, Tawny Willson, Emily Flagg, Tanya Simuni, Bridget McMahon, Craig Stanley, Kim Fabrizio, Dixie Ecklund, Trevis Huff, Tatiana Foroud, Laura Heathers, Christopher Hobbick, Gena Antonopoulos, John Seibyl, Kathleen Poston, Christopher Coffey, Chelsea Caspell‐Garcia, Michael Brumm, Bioinformatics Core, Arthur Toga, Karen Crawford, Tatiana Foroud, Jan Hamer, Brit Mollenhauer, Doug Galasko, Kalpana Merchant, Andrew Singleton, Tatiana Foroud, Thomas Montine, Caroline Tanner, Carlie Tanner, Ethan Brown, Lana Chahine, Roseann Dobkin, Monica Korell, Charles Adler, Roy Alcalay, Amy Amara, Paolo Barone, Bastiaan Bloem, Kathrin Brockmann, Norbert Brüggemann, Lana Chahine, Kelvin Chou, Nabila Dahodwala, Alberto Espay, Stewart Factor, Hubert Fernandez, Michelle Fullard, Douglas Galasko, Penelope Hogarth, Shu‐Ching Hu, Michele Hu, Stuart Isaacson, Christine Klein, Rejko Krueger, Mark Lew, Zoltan Mari, Connie Marras, Maria Jose Martí, Nikolaus McFarland, Tiago Mestre, Brit Mollenhauer, Emile Moukheiber, Alastair Noyce, Wolfgang Oertel, Njideka Okubadejo, Sarah O’Shea, Rajesh Pahwa, Nicola Pavese, Werner Poewe, Ron Postuma, Giulietta Riboldi, Lauren Ruffrage, Javier Ruiz Martinez, David Russell, Marie H. Saint‐Hilaire, Neil Santos, Wesley Schlett, Ruth Schneider, Holly Shill, David Shprecher, Tanya Simuni, David Standaert, Leonidas Stefanis, Yen Tai, Caroline Tanner, Arjun Tarakad, Eduardo Tolosa, Aleksandar Videnovic, Susan Ainscough, Courtney Blair, Erica Botting, Isabella Chung, Kelly Clark, Ioana Croitoru, Kelly DeLano, Iris Egner, Fahrial Esha, May Eshel, Frank Ferrari, Victoria Kate Foster, Alicia Garrido, Madita. Grümmer, Bethzaida Herrera, Ella Hilt, Chloe Huntzinger, Raymond James, Farah Kausar, Christos Koros, Yara Krasowski, Dustin Le, Ying Liu, Taina M. Marques, Helen Mejia Santana, Sherri Mosovsky, Jennifer Mule, Philip Ng, Lauren O’Brien, Abiola Ogunleye, Oluwadamilola Ojo, Obi Onyinanya, Lisbeth Pennente, Romina Perrotti, Michael Pileggi, Ashwini Ramachandran, Deborah Raymond, Jamil Razzaque, Shawna Reddie, Kori Ribb, Kyle Rizer, Janelle Rodriguez, Stephanie Roman, Clarissa Sanchez, Cristina Simonet, Anisha Singh, Elisabeth Sittig, Angela Stovall, Bobbie Stubbeman, Alejandra Valenzuela, Catherine Wandell, Diana Willeke, Karen Williams, Dilinuer Wubuli   +197 more
wiley   +1 more source

Cassava Diseases Classification using EfficientNet Model with Imbalance Data Handling

JOIN: Jurnal Online Informatika
This research highlights the urgent need for classifying cassava diseases into five classes, such as Cassava Bacterial Blight (CBB), Cassava Brown Streak Disease (CBSD), Cassava Green Mottle (CGM), and Cassava Mosaic Disease (CMD), and Healthy. The study
Stephany Octaviani Ngesthi, Lili Ayu Wulandhari   +1 more
doaj   +1 more source