Results 71 to 80 of about 12,774 (258)

Analyzing Sentiment of SiCepat Express User Reviews

Journal of Applied Informatics and Computing
The development of e-commerce in Indonesia has led to an increase in the number of users of product delivery services to deliver their customers' orders to their destination.
Endra Maulia Wicaksana, Nova Rijati
doaj   +1 more source

Temporal shifts in kelp forest structure and distribution largely reflect recent ocean warming trends

Ecography, EarlyView.
Ocean warming is driving the redistribution of species at a global scale. Biogeographic transition zones are hotspots of species range shifts, as both warm‐ and cold‐adapted species are found toward contrasting range edges. While anecdotal evidence suggests some distributional shifts have occurred in the northeast Atlantic, the empirical evidence base ...
Nora Salland, Catherine M. Wilding, Cristina Galobart, Kathryn E. Smith, Nathan G. King, Michael T. Burrows, Dan A. Smale   +6 more
wiley   +1 more source

Innovations for Stakeholder Engagement in Water Governance: A Systematic Literature Review From a Sustainability Transition Perspective

Environmental Policy and Governance, EarlyView.
ABSTRACT Sustainable and equitable governance of water resources is among the most pressing global challenges, emphasising the need for innovations towards transitions in the water sector. Innovations for stakeholder engagement can contribute to such transitions through public participation and cross‐sectoral collaboration.
Anne Ellermann, Gül Özerol, Joanne Vinke‐de Kruijf, César Casiano Flores, Vuokko Laukka, Ulf Stein, Suvi Sojamo, Rob Collins   +7 more
wiley   +1 more source

Strip Steel Defect Prediction Based on Improved Immune Particle Swarm Optimisation–Improved Synthetic Minority Oversampling Technique–Stacking

Applied Sciences
A model framework for the prediction of defects in strip steel is proposed with the objective of enhancing the accuracy of defect detection. Initially, the data are balanced through the utilisation of the Improved Synthetic Minority Oversampling ...
Zhi Fang, Fan Zhang, Su Yu, Bintao Wang
doaj   +1 more source

When Policy Is the Hazard: Institutional Legitimacy and Climate Risk Attribution Among Farmers in Water Stressed California

Environmental Policy and Governance, EarlyView.
ABSTRACT This study examines how farmers perceive and respond to climate policy risk in the context of drought and argues that understanding such responses is as important as understanding farmer reactions to the biophysical impacts of climate change.
M. Anne Visser, Jordan Pantano, Grace Kumetat, Julia Marhenke   +3 more
wiley   +1 more source

Model Optimasi SVM Dengan PSO-GA dan SMOTE Dalam Menangani High Dimensional dan Imbalance Data Banjir

Teknika
Banjir merupakan salah satu bencana alam yang sering terjadi di Indonesia, termasuk di Kota Samarinda dengan 18-33 titik desa terdampak dari tahun 2018-2021.
Raenald Syaputra, Taghfirul Azhima Yoga Siswa, Wawan Joko Pranoto   +2 more
doaj   +1 more source

Evaluation of the performance of the Smote, Smote Enn, and Borderline Smote resampling methods based on the number of outlier data with Z Score

Lontar Komputer : Jurnal Ilmiah Teknologi Informasi
Handling class imbalances in datasets is a significant challenge in the classification process. Disruption occurs if the minority class has a crucial role in decision-making. Oversampling is one of the solutions that is widely used to overcome this problem.
Arisgunadi Gunadi, null Dewi Oktofa Rahmawati, null Nurfa Risha   +2 more
openaire   +1 more source

Decoding epilepsy's molecular blueprint: Machine learning unravels transcriptomic subtypes and regulatory networks

Epilepsia, EarlyView.
Abstract Objective Drug‐resistant epilepsy (DRE) affects approximately one‐third of patients with epilepsy. The molecular heterogeneity underlying DRE remains poorly defined, largely due to limited access to resected brain tissue and substantial genetic diversity.
Yanping Weng, Yu Ma, Wanwan Hou, Haibo Li, Yuanfeng Zhou, Rui Zhao, Hao Li, Lian Chen, Yangyang Ma, Li Jin, Yi Wang, Yu An   +11 more
wiley   +1 more source

A Comparative Analysis of Combination of CNN-Based Models with Ensemble Learning on Imbalanced Data

JOIV: International Journal on Informatics Visualization
This study investigates the usefulness of the Synthetic Minority Oversampling Technique (SMOTE) in conjunction with convolutional neural network (CNN) models, which include both single and ensemble classifiers. The objective of this research is to handle
Xiaoling Gao, Nursuriati Jamil, Muhammad Izzad Ramli, Syed Mohd Zahid Syed Zainal Ariffin   +3 more
doaj   +1 more source

Prediction of Pipeline Defect Depth and Classification Based on CatBoost

Energy Science &Engineering, EarlyView.
Obtaining detection data using in‐line pipeline inspection, the synthetic minority oversampling technique (SMOTE) is applied to expand the sample set, thereby increasing the number of minority‐class samples. This approach effectively improves minority‐class detection and enhances pipeline safety assessment. ABSTRACT Magnetic flux leakage detection is a
Cong Chen, Rui Li, Guanwei Jia, Dongcun Qin   +3 more
wiley   +1 more source