Results 111 to 120 of about 18,911 (296)
Theoretical Convergence of SMOTE-Generated Samples
CoRRImbalanced data affects a wide range of machine learning applications, from healthcare to network security. As SMOTE is one of the most popular approaches to addressing this issue, it is imperative to validate it not only empirically but also theoretically.
Firuz Kamalov +2 more
openaire +2 more sources
The random forest algorithm is one of the widely used machine learning classification methods because it has the advantage of reducing the risk of overfitting while improving general prediction performance. However, for data with unbalanced classes, this
Fauziah, Anju, Julan Hernadi
core +1 more source
Rhyming in the cold: first evidence of soniferous fishes in the Southern Ocean
Remote Sensing in Ecology and Conservation, EarlyView.The acoustic ecology of Southern Ocean fishes remains unknown due to a lack of dedicated acoustic research on the fishes of this ocean. Passive acoustic monitoring data were collected at the South African sub‐Antarctic Prince Edward Islands using an underwater acoustic recorder, and towed underwater Ski‐Monkey cameras were deployed to identify fish ...
Fannie W. Shabangu +5 more
wiley +1 more source
Sustainable Development, EarlyView.ABSTRACT Achieving the Sustainable Development Goals (SDGs) requires transparent and accountable local governments, yet little is known about the structural drivers of municipal transparency. This study introduces a machine learning approach to predict municipal transparency using the Bidimensional Transparency Index (BTI), which measures both the ...
Ana M. Plata‐Díaz +3 more
wiley +1 more source
SMOTE-ENN resampling technique with Bayesian optimization for multi-class classification of dry bean ...
Houshyar Asadi (13073715) +8 more
core
Camels as a Climate‐Resilient Linchpin for Sustainable Development in Global Drylands
Sustainable Development, EarlyView.ABSTRACT Camels represent a significant, yet underutilized, asset for advancing integrated sustainable development in the world's expanding drylands. Previous reviews have examined camels' physiology, milk composition, or pastoral systems in isolation; this review examines their potential as a climate‐resilient linchpin for food systems by synthesizing
Ayana Angassa +2 more
wiley +1 more source
PREDICTION OF HAJJ PILGRIMS' HEALTH RISK USING K-NN, DECISION TREE, CROSS VALIDATION, AND SMOTE
Techno Nusa Mandiri: Journal of Computing and Information TechnologyThe background of this study is predicting the health risk levels of hajj pilgrims, which is a significant challenge in improving healthcare services during the pilgrimage.
Widi Astuti, Fajar Sarasati
doaj +1 more source
Systems‐Based Organisational Resilience Framework: A Delphi Study‐Based Validation and Verification
Systems Research and Behavioral Science, EarlyView.ABSTRACT The increasing systemic complexity of the Fourth Industrial Revolution has heightened the need for robust approaches to organisational resilience. Despite its growing prominence, resilience research remains fragmented, with limited consensus on core dimensions, causal interdependencies and mechanisms suitable for dynamic assessment. This study
Dumisani Manzini +3 more
wiley +1 more source
TESOL Quarterly, EarlyView.Abstract Considering applied linguistics as a problem‐centered discipline, we address an enduring challenge in the field: the need to ensure that research provides findings that can contribute to solving everyday challenges faced by language practitioners.
Hyun‐Bin Hwang, Matthew D. Coss
wiley +1 more source
Sentiment Analysis Mobile JKN Reviews Using SMOTE Based LSTM
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)The JKN Mobile application plays an important role in providing easy and fast access to health services for JKN-KIS users. However, user reviews indicate dissatisfaction with several aspects of the application, such as login issues and OTP codes, which ...
Ghufron Tamami +2 more
doaj +1 more source