Results 91 to 100 of about 40,989 (265)

Maximal Information Coefficient-Based Undersampling Method for Highly-Imbalanced Learning

IEEE Access
Learning from highly-imbalanced datasets is still a big challenge in the field of machine learning because models created by general learning algorithms are weak in recognizing the samples from the minority class correctly.
Haiou Qin
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

The Effects of Imbalanced Datasets on Machine Learning Algorithms in Predicting Student Performance

JOIV: International Journal on Informatics Visualization
Predictive analytics technologies are becoming increasingly popular in higher education institutions. Students' grades are one of the most critical performance indicators educators can use to predict their academic achievement.
Khaled Mahmud Sujon, Rohayanti Hassan, Alif Ridzuan Khairudin, Sim Hiew Moi, Muhammad Luqman Mohd Shafie, Zainuri Saringat, Aldo Erianda   +6 more
doaj   +1 more source

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

Advanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon, Taewon Lee, Dohyeong Kim, Sungmin Hwang, Sungjoon Kim   +4 more
wiley   +1 more source

Glucose Deprivation‐Driven Concurrent Induction of Apoptosis/Disulfidptosis/Ferroptosis by Tumor Targeting Nanoassemblies in Triple‐Negative Breast Cancer Therapy

Advanced Functional Materials, EarlyView.
Innovative hybrid nanoassemblies installed with ferrocene, D‐α‐tocopherol succinate, and phloretin exploit the metabolic vulnerability of triple‐negative breast cancer under glucose starvation. By blocking glucose uptake, this single nanoplatform simultaneously orchestrates apoptosis, disulfidptosis, and ferroptosis to achieve synergistic and ...
Song Yi Lee, ChaeRim Hwang, Seong Eun Kim, Mrinmoy Karmakar, Seo Jin Jung, Hyeonseok Jang, Hae‐In Kim, Heejung Yang, Junmin Lee, Dae‐Duk Kim, Hyun‐Jong Cho   +10 more
wiley   +1 more source

Targeting Post‐Irradiation Thyroid Dysfunction: Electrospun Scaffolds As A Dual‐Action Approach for Antioxidant and Immune Modulation

Advanced Healthcare Materials, EarlyView.
Radiation‐induced hypothyroidism follows head and neck radiotherapy due to oxidative stress and inflammation. Electrospun polycaprolactone scaffolds containing adenosine have potential to modulate thyroid repair. Scaffolds enhance thyrocyte proliferation, antioxidant enzymes glutathione peroxidase and catalase, reduce senescence and apoptosis markers ...
Maria Heim, Ella‐Louise Handley, Daniel Grant, Lizi M. Hegarty, Elaine Emmerson, Anthony Callanan   +5 more
wiley   +1 more source

Natural Biomaterials for Osteochondral Repair: From Source to Strategy

Advanced Healthcare Materials, EarlyView.
Biological origin‐guided overview of natural biomaterials and therapeutic strategies for osteochondral tissue engineering. The circular diagram categorizes representative materials and strategies into plant/algae‐derived, microbial‐derived, animal‐derived, and human‐derived sources, centered on an osteochondral defect repair model.
Hengyu Liu, Hanyang Zhang, Wenbo Yang, Hao Chen, Jincheng Wang, Fei Chang   +5 more
wiley   +1 more source

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

Advanced Healthcare Materials, EarlyView.
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz, Manuel P. Kainz, Niklas Haider, Theresa Rienmüller, Kerstin Lenk, Rupert Kargl, Michele Terzano, Gerhard Sommer, Gerhard A. Holzapfel, Julia Fuchs   +9 more
wiley   +1 more source

Unveiling Exsolution‐Induced Giant Electronic and Magnetic Property Changes in Non‐Stoichiometric Titanate Perovskite Thin Films

Advanced Materials, EarlyView.
A giant insulator to metal transition and emergent superparamagnetism are revealed by nanoparticle exsolution in non‐stoichiometric titanate perovskite thin films. By combining transport, synchrotron spectroscopy, and first‐principles calculations, this work reveals how defect reconfiguration and lattice reconstruction fundamentally reshape electronic ...
Sungil Kim, June Ho Lee, Yaolong Xing, Dongchang Kim, Haeseong Jeong, Mongjun Jeong, Manuel Valvidares, Stuart S. P. Parkin, Sang Ho Oh, Donghwa Lee, Hyojin Yoon, Hyeon Han   +11 more
wiley   +1 more source

Advances in Magnesium‐Based Thermoelectrics: A Critical Review

Advanced Materials, EarlyView.
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang, Li Zhang, Nan‐Hai Li, Yan‐Ling Yang, Xiao‐Lei Shi, Zhi‐Gang Chen   +5 more
wiley   +1 more source