Results 71 to 80 of about 18,911 (296)

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

The flowchart of AE-XGB-SMOTE-CGAN method.

Credit card fraud is a significant problem that costs billions of dollars annually. Detecting fraudulent transactions is challenging due to the imbalance in class distribution, where the majority of transactions are legitimate.
HaiChao Du (18114974), Hongliang Wang (440441), Li Lv (382638), An Guo (1451287)   +3 more
core   +1 more source

Performance analysis of ML models, (a) accuracy using TF-IDF with and without SMOTE, (b) accuracy using BoW with and without SMOTE, and (c) accuracy using GloVe with and without SMOTE.

, 2022
Performance analysis of ML models, (a) accuracy using TF-IDF with and without SMOTE, (b) accuracy using BoW with and without SMOTE, and (c) accuracy using GloVe with and without SMOTE.
Furqan Rustam (10196722), Arif Mehmood (9406486), Saima Sadiq (6238643), Ramish Jamil (12975463), Gyu Sang Choi (9406495), Eysha Saad (12975460), Imran Ashraf (7370771)   +6 more
core   +1 more source

Sound Financial Practices and Entrepreneurs' Socio‐Environmental Commitment: Revealing the Role of Financial Barriers

Business Strategy and the Environment, EarlyView.
ABSTRACT Small enterprises (SEs) constitute a major component of economic systems, and their socio‐environmental commitment is critical for promoting societal well‐being. This paper examines the direct effect of sound financial practices on socio‐environmental commitment and evaluates the mediating role of financial constraints—specifically debt and ...
Marcos Álvarez‐Espiño, Sara Fernández‐López, Lucía Rey‐Ares   +2 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

The confusion matrix for AE-XGB-SMOTE-CGAN method.

The confusion matrix for AE-XGB-SMOTE-CGAN method.
HaiChao Du (18114974), Hongliang Wang (440441), Li Lv (382638), An Guo (1451287)   +3 more
core   +1 more source

BILSTM using SMOTE and ADASYN oversampling techniques.

, 2023
BILSTM using SMOTE and ADASYN oversampling techniques.
Alaa Alomari (17403786), Pedro A. Castillo (17403789), Hossam Faris (8111340)   +2 more
core   +1 more source

Bridging Theory and Prediction: A Hybrid SEM and Machine Learning Approach to Optimize Lean Construction for Megaproject Sustainability in China

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Construction megaprojects, large‐scale, complex, and capital‐intensive, are particularly prone to inefficiencies, cost overruns, delays, and environmental degradation due to fragmented workflows, stakeholder misalignment, and resource intensity.
Abdelazim Ibrahim, Tarek Zayed, Zoubeir Lafhaj, Ahmed Maged, Ahmed Farouk Kineber, Jingchao Yang   +5 more
wiley   +1 more source

PREDICTION OF SURVIVAL OF HEART FAILURE PATIENTS USING RANDOM FOREST

Pilar Nusa Mandiri, 2020
Human survival, one of the roles that is controlled by the heart, makes the heart need to be guarded and be aware of its damage. Heart failure is the final stage of all heart disease.
Sri Rahayu, Jajang Jaya Purnama, Achmad Baroqah Pohan, Fitra Septia Nugraha, Siti Nurdiani, Sri Hadianti   +5 more
doaj   +1 more source

SMOTE-LOF for noise identification in imbalanced data classification

, 2022
Imbalanced data typically refers to a condition in which several data samples in a certain problem is not equally distributed, thereby leading to the underrepresentation of one or more classes in the dataset.
Nur Ulfa Maulidevi, Asniar, Kridanto Surendro   +2 more
core   +1 more source