Results 71 to 80 of about 13,846 (260)

Regeneration failure, fire, topography, and climate interact to drive temperate wet forest landscapes into fire traps

Ecography, EarlyView.
Where early successional forests are more flammable than old‐growth forests, forested landscapes are vulnerable to shifting into ‘fire traps' through positive feedbacks, where fire leads to more fire. These feedbacks are amplified by increased flammability driven by climate change, the presence of non‐native flammable plant species, and slowed ...
George L. W. Perry, Craig E. Simpkins, Kiri Reihana, James M. R. Brock, Peter J. Bellingham   +4 more
wiley   +1 more source

Comparison of Light Gradient Boosting Machine, eXtreme Gradient Boosting, and CatBoost with Balancing and Hyperparameter Tuning for Hypertension Risk Prediction on Clinical Dataset

Journal of Applied Informatics and Computing
Hypertension is a long-lasting condition that is highly prevalent and significantly contributes to cardiovascular issues, making early identification a crucial preventive action.
Dewi Ayu Murtiningsih, Bety Wulan Sari, Ika Nur Fajri   +2 more
doaj   +1 more source

Nested Carbon Governance in Southeast Asia: Towards Just Nature‐Based Solutions?

Environmental Policy and Governance, EarlyView.
ABSTRACT Nature‐based solutions (NbS) have gained prominence as an integrated approach to addressing climate change and biodiversity loss while supporting sustainable development. Yet, their implementation across Southeast Asia remains fragmented and often contested.
Helena Varkkey, Michelle Ann Miller, David Taylor   +2 more
wiley   +1 more source

An Efficient Intrusion Detection System for IoT Using Feature Engineering and Machine Learning

Proceedings of the International Conference on Applied Innovations in IT
IoT devices have limited computing and security capabilities, making them vulnerable to cyberattacks. This rapid expansion of IoT has introduced unprecedented connectivity but also heightened security vulnerabilities.
Basima kzar Hassan, Khawla Rashige Hassen , Sakna Jahiya Faraj   +2 more
doaj   +1 more source

A translational multimodal machine‐learning prototype predicting valproate response in epilepsy treatment

Epilepsia, EarlyView.
Abstract Objective Epilepsy affects ~1% of the global population and often requires lifelong antiseizure medication (ASM) therapy. Valproic acid (VPA) is a commonly prescribed first‐line ASM, yet only approximately half of patients achieve sustained seizure freedom. Treatment selection remains largely empirical.
Simeon Platte, Afsheen Kumar, Giorgia Guerini, Massimo Pandolfo, Denise Haslinger, Colin B. Josephson, Guillermo Delgado‐García, Navprabhjot Kaur, Michaela‐Pauline Lux, Heiko Stempfle, Chantal Depondt, Reetta Kälviäinen, Felix Rosenow, Sophie von Brauchitsch, Karl Martin Klein, Andreas G. Chiocchetti   +15 more
wiley   +1 more source

Analysis of the Performance Comparison between Random Forest and SVM RBF in Detecting Cyberbullying on Imbalanced Data with the SMOTE Approach

Sistemasi: Jurnal Sistem Informasi
Cyberbullying has emerged as a growing threat with the widespread adoption of social media, creating significant risks to online safety. Automatic detection of such behavior remains challenging, particularly when the training dataset is highly imbalanced.
Inna Nur Amalina, Norhikmah Norhikmah, Wahid Miftahul Ashari   +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

Oligogenic inheritance in epilepsy: A systematic exome‐wide analysis

Epilepsia, EarlyView.
Abstract Objective Genetic factors contribute to the majority of epilepsies, but the exact genetic cause remains unknown in most patients. Incomplete penetrance and variable expressivity are frequent, and recent studies showed a burden of deleterious variants in epilepsy genes, suggesting a role for oligogenic inheritance.
Sarah Duerinckx, Barbara Gravel, Julie Soblet, Benjamin Legros, Susana Ferrao Santos, Wim Van Paesschen, Estelle Rikir, Epi25 Collaborative, Siwei Chen, Zaid Afawi, Quratulain Zulfiqar Ali, Danielle M. Andrade, Mutluay Arslan, Simona Balestrini, Carmen Barba, Tobias Baumgartner, Betül Baykan, Nerses Bebek, Felicitas Becker, Caitlin A. Bennett, Ahmad Beydoun, Francesca Bisulli, Christian Bosselmann, S. Hande Caglayan, Laura Canafoglia, Barbara Castellotti, Francine Chassoux, I‐Jun Chou, Seo‐Kyung Chung, Patrick Cossette, Chantal Depondt, Orrin Devinsky, Dennis J. Dlugos, Viola Doccini, Colin A. Ellis, Thomas N. Ferraro, Lorenzo Ferri, Mark Fitzgerald, Francesco Fortunato, Elena Freri, Tania Giangregorio, Tracy A. Glauser, Aslı Gundogdu‐Eken, Namrata Gupta, Kevin Haas, Erin L. Heinzen, Christian Hengsbach, Olivia Hoeper, Michele Iacomino, Yushi Inoue, Lara Jehi, Symon M. Kariuki, Karl Martin Klein, Susanne Knake, Andreas Koupparis, Ioanna Kousiappa, Roland Krause, Martin Krenn, Heinz Krestel, Wolfram S. Kunz, Austin Lacey, Stephan Lauxmann, Stephanie L. Leech, Gaetan Lesca, David Lewis‐Smith, Calwing Liao, Laura Licchetta, Kuang‐Lin Lin, Tarja Linnankivi, Daniel H. Lowenstein, Colin H.T. Lui, Ida Manna, Paula Marques, Patrick May, Davide Mei, RaAaella Minardi, Barbara Mostacci, Lorenzo Muccioli, Bernd A. Neubauer, Terence J. O'Brien, Savvas S. Papacostas, Elena Parrini, Manuela Pendziwiat, Francesca Ragona, Mark I. Rees, Antonella Riva, Philippe Ryvlin, Andrea Salmon, Ilaria Sammarra, Marcello Scala, Ingrid E. ScheAer, Susanne Schubert‐Bast, Paolo Scudieri, Graeme J. Sills, Sanjay M. Sisodiya, Hannah Stamberger, Ulrich Stephani, Carlotta Stipa, Pasquale Striano, Adam Strzelczyk, Rainer Surges, Toshimitsu Suzuki, Mariagrazia Talarico, George A. Tanteles, Marian Todaro, Meng‐Han Tsai, Birute Tumiene, Dilsad Turkdogan, Luc Valton, Andreas van Baalen, Annalisa Vetro, Yvonne G. Weber, Sarah Weckhuysen, Peter Widdess‐Walsh, Samuel Wiebe, Randi von Wrede, Kazuhiro Yamakawa, Zuhal Yapıcı, Fritz Zimprich, Milena Zizovic, Gábor Zsurka, Benjamin M. Neale, Samuel F. Berkovic, Solve‐RD DITF‐EpiCARE, Marc Abramowicz, Nicholas Allen, Simona Balestrini, Tobias Bartolomaeus, Ravishankara Bellampalli, Katherine Benson, Francesca Bisulli, Christian Boßelmann, Susan Byrne, Laura Canafoglia, Evelina Carapancea, Barbara Castellotti, Gianpiero Cavalleri, Roberta Cilio, Norman Delanty, Christel Depienne, Chantal Depondt, Sarah Duerinckx, Zakaria Eddafir, Kornelia Ellwanger, Silvana Franceschetti, Elena Freri, Hamidah Ghani, Tiziana Granata, Marie Greally, Renzo Guerrini, Tobias B. Haack, Eva Hammar Bouveret, Michele Iacomino, Rami Jamra, Josua Kegele, Christian Korff, Roland Krause, Alma Küchler, Robert Lauerer‐Braun, Damien Lederer, Elsa Leitão, Holger Lerche, Gaëtan Lesca, David Lewis‐Smith, Laura Licchetta, Frédéric Masclaux, Patrick May, Davide Mei, Cyril Mignot, Charissa Millevert, Raffaella Minardi, Patrick Moloney, Hiltrud Muhle, Mary O. Reghan, Joohyun Park, Elena Parrini, Manuela Pendziwiat, Konrad Platzner, Johanna Pohl, Mary Sandrine, Marcello Scala, Sanjay Sisodiya, Noor Smal, Hannah Stamberger, Pasquale Striano, Roxane van Heurck, Christina Vosseler‐Wolf, David Webb, Sarah Weckhuysen, Federico Zara, Alec Aeby, Guillaume Smits, Chantal Depondt   +192 more
wiley   +1 more source

Prediksi Risiko Alzheimer Perbandingan Kinerja Algoritma Klasifikasi

Computer Science
Penyakit Alzheimer merupakan salah satu bentuk paling umum dari demensia yang ditandai dengan penurunan kemampuan berpikir, mengingat, dan berperilaku secara bertahap.
sidik Sidik
doaj   +1 more source

Long‐term prediction of epilepsy following traumatic brain injury among veterans using routine clinical data

Epilepsia, EarlyView.
Abstract Objective Despite elevated risk for epilepsy following traumatic brain injury (TBI), there are limited tools to assess epilepsy risk following TBI using routine clinical data. The objective of this study was to develop and validate a machine learning approach to predict the onset of posttraumatic epilepsy (PTE) over varying time horizons ...
Mustafa Ozmen, Shashank Vadlamani, James J. Gugger, Megan Amuan, Ramon Diaz‐Arrastia, Mary Jo Pugh, Eamonn Kennedy   +6 more
wiley   +1 more source