Results 141 to 150 of about 18,911 (296)

PREDIKSI PROFIT PENJUALAN MENGGUNAKAN ALGORITMA NAIVE BAYES DENGAN TEKNIK SMOTE [PDF]

Penelitian ini bertujuan untuk membangun sebuah model prediksi profit penjualan berdasarkan data transaksi dengan menggunakan algoritma Naive Bayes serta meningkatkan performa model melalui penerapan teknik Synthetic Minority Over-sampling Technique ...
HAQ, ANDIN ZIAUNIL
core  

Disentangling Multitrophic Interactions: How Vegetation Cover, Wild Boar, Deer, and Predators Shape Rodents Activity and Acorn Dispersal

Integrative Zoology, EarlyView.
Vegetation cover promotes rodent activity and acorn dispersal, while wild boars exert a direct negative effect on mice. Conversely, deer and predators displayed no significant impact on rodent behavior. These results identify wild boars as the main disruptors of rodent‐mediated forest regeneration.
David Notario Rincón, Alberto Muñoz, Rafael Barrientos, Álvaro Gaytán, Lucía Cano, Pablo Quiles, Luis Sánchez, Alejandro Redondo, Alexander Cisneros, Raúl Bonal   +9 more
wiley   +1 more source

How Due Diligence Transforms Private Sustainability Governance: The Case of the Global Organic Textile Standard

Global Policy, EarlyView.
ABSTRACT Growing awareness of social and environmental risks in global supply chains has driven a shift from voluntary corporate responsibility toward mandatory due diligence legislation. These emerging regulatory frameworks require businesses to identify, prevent, and mitigate adverse human rights and environmental impacts, thereby redefining the ...
Axel Marx, Kari Otteburn
wiley   +1 more source

Old Moses smote the water, Hallelujer!

, 1951
voiceCollected by Irene Carlisle Transcribed by Nathaniel Lucy Sung by Doney Hammontree Bethel Grove, Arkansas June 14, 1951 Reel 122, Item 4 Old Moses Smote the Water Old Moses smote the water, Hallelujer! Old Moses smote the water, ughn!
Hammontree, Doney
core  

Developing Predictive and Explainable Models for Cryptocurrency Delistings: A Case Study of Binance Exchange

Asia-Pacific Journal of Financial Studies, EarlyView.
Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley   +1 more source

The nation‐state, non‐Western empires, and the politics of cultural difference

American Journal of Political Science, EarlyView.
Abstract While empires have been central to political theory, they almost always refer to Western forms of imperialism and colonialism to which non‐Western societies are subject. But precolonial empires have ruled much of the world for much of known history. Building on recent International Relations (IR) scholarship, this article reconstructs an ideal
Loubna El Amine
wiley   +1 more source

Frequency and Severity of Allergic Reactions to Non‐Mandatory Labelled Allergenic Foods—Data From Two Large European Cohorts

Allergy, EarlyView.
In two large European cohorts, 589 reactions to non‐mandatory labelled plant‐based foods were identified with sunflower seed, pine nut, pea and lentil as the most frequent triggers. Reaction severity was not different between mandatory and non‐mandatory labelled allergenic foods. Their frequency and rising trends (e.g., fenugreek, pumpkin seed) support
Sabine Dölle‐Bierke, Alejandro Gonzalo‐Fernández, Dominique Sabouraud‐Leclerc, Laura Barreales‐Tolosa, Barbara Ballmer‐Weber, Simona Belohlavkova, Maria B. Bilò, Ruta Dubakiene, Karin Hartmann, Monika Jedrzejczak‐Czechowicz, Thuy‐My Le, Lars Lange, Nikolaos G. Papadopoulos, Guillaume Pouessel, Isabel Reig, Athanasios Sinaniotis, E. N. Clare Mills, Margitta Worm, Montserrat Fernández‐Rivas   +18 more
wiley   +1 more source

The Process of sample generation with SMOTE-CGAN.

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

From Loss to Transformation? Towards Pluralistic and Politicised Agrarian‐Climate Futures

Asia Pacific Viewpoint, EarlyView.
ABSTRACT Understanding how actors perceive and anticipate future states of the world is gaining traction in climate change governance scholarship and related calls for sustainability transformations. However, smallholder farmers, indigenous groups, and local communities, who are expected to bear disproportionate burdens of loss and damage from climate ...
Joel Persson, Kelly Dorkenoo, Monin Nong, Sodavy Nhong, Van Hai Thi Nguyen   +4 more
wiley   +1 more source

Indigenous‐Led Adaptation to Complex Climate Risks in New Ireland, Papua New Guinea

Asia Pacific Viewpoint, EarlyView.
ABSTRACT Pacific Island peoples have long histories of adapting to environmental changes, but recent climate change is now driving complex risks that unfold within rapidly shifting societal and environmental contexts. This study investigates how remote Indigenous communities in New Ireland, Papua New Guinea, experience and want to respond to complex ...
Eric Lede, Guy Jackson, Kamilo Bogen, Tristan Pearce   +3 more
wiley   +1 more source