Results 21 to 30 of about 24,275,785 (260)

A New Phase Classifier with an Optimized Feature Set in ML-Based Phase Prediction of High-Entropy Alloys

Applied Sciences, 2023
The phases of high-entropy alloys (HEAs) are closely related to their properties. However, phase prediction bears a significant challenge due to the extensive search space and complex formation mechanisms of HEAs.
Yifan Zhang, Wei Ren, Weili Wang, Shujian Ding, Nan Li   +4 more
doaj   +1 more source

Effort-reward imbalance at work and the co-occurrence of lifestyle risk factors: cross-sectional survey in a sample of 36,127 public sector employees [PDF]

, 2006
Background In occupational life, a mismatch between high expenditure of effort and receiving few rewards may promote the co-occurrence of lifestyle risk factors, however, there is insufficient evidence to support or refute this hypothesis.
Anne Kouvonen, Kivimäki, Mika, Kouvonen, Anne, Pentti, Jaana, Virtanen, Marianna, Mika Kivimäki, Elovainio Marko, Kivimaki, M., Kivimäki Mika, Heponiemi Tarja, Virtanen, M., Vahtera Jussi, Heponiemi, T., Anne Linna, Elovainio, Marko, Tarja Heponiemi, Linna, A, Linna, A., Marko Elovainio, Vahtera, Jussi, Virtanen, M, Elovainio, M., Pentti, J, Vahtera, J, Elovainio, M, Pentti Jaana, Kivim�ki, Mika, Heponiemi, T, Jaana Pentti, Kivimaki, M, Vahtera, J., Kouvonen, A, Kouvonen Anne, Jussi Vahtera, Linna Anne, Marianna Virtanen, Heponiemi, Tarja, Linna, Anne, Pentti, J., Virtanen Marianna   +39 more
core   +2 more sources

Adaptive Age Estimation towards Imbalanced Datasets

Applied Sciences, 2023
Current age estimation datasets often have a skewed long-tail distribution with significant data imbalance, rather than an ideal uniform distribution for each category.
Zhiang Dong, Xiaoqiang Li
doaj   +1 more source

IACGAN-ST: A Fault Diagnosis Method for Scraper Conveyor Bearings Under Imbalanced Data Conditions

IEEE Access
Bearings in mining scraper conveyors, essential transmission components, are frequently subjected to harsh environments, including high temperatures, heavy impact loads, dust contamination, and prolonged operational durations.
Hongwei Wang, Shengyu Guan, Xuesong Wang, Lijie Wang, Qun Zhang, Kaiman Liu, Zhiwen Fang, Hongli Wang   +7 more
doaj   +1 more source

An Efficient Improved Greedy Harris Hawks Optimizer and Its Application to Feature Selection

Entropy, 2022
To overcome the lack of flexibility of Harris Hawks Optimization (HHO) in switching between exploration and exploitation, and the low efficiency of its exploitation phase, an efficient improved greedy Harris Hawks Optimizer (IGHHO) is proposed and ...
Lewang Zou, Shihua Zhou, Xiangjun Li
doaj   +1 more source

Fault Diagnosis of Semi-Supervised Electromechanical Transmission Systems Under Imbalanced Unlabeled Sample Class Information Screening

Entropy
In the health monitoring of electromechanical transmission systems, the collected state data typically consist of only a minimal amount of labeled data, with a vast majority remaining unlabeled.
Chaoge Wang, Pengpeng Jia, Xinyu Tian, Xiaojing Tang, Xiong Hu, Hongkun Li   +5 more
doaj   +1 more source

A Novel Intelligent Fault Diagnosis Method for Rolling Bearings Based on Wasserstein Generative Adversarial Network and Convolutional Neural Network under Unbalanced Dataset

Sensors, 2021
Rolling bearings are widely used in industrial manufacturing, and ensuring their stable and effective fault detection is a core requirement in the manufacturing process.
Hongtao Tang, Shengbo Gao, Lei Wang, Xixing Li, Bing Li, Shibao Pang   +5 more
doaj   +1 more source

IZA/IAB Linked Evaluation Dataset

, 2023
The IZA/IAB Linked Evaluation Dataset 1993-2010 was created in the context of the research project trying to obtain reliable estimates for the impact of active labor market policies (ALMP) and understand why and how programs work or not.In cooperation ...
Schmucker, Alexandra, Eberle, Johanna, Mahlstedt, Robert   +2 more
core   +1 more source

Accurate Arrhythmia Classification with Multi-Branch, Multi-Head Attention Temporal Convolutional Networks

Sensors
Electrocardiogram (ECG) signals contain complex and diverse features, serving as a crucial basis for arrhythmia diagnosis. The subtle differences in characteristics among various types of arrhythmias, coupled with class imbalance issues in datasets ...
Suzhao Bi, Rongjian Lu, Qiang Xu, Peiwen Zhang   +3 more
doaj   +1 more source

Distinguishing Bladder Cancer from Cystitis Patients Using Deep Learning

Mathematics, 2023
Urinary tract cancers are considered life-threatening conditions worldwide, and Bladder Cancer is one of the most malignant urinary tract tumors, with an estimated number of more than 1.3 million cases worldwide each year.
Dong-Her Shih, Pai-Ling Shih, Ting-Wei Wu, Chen-Xuan Lee, Ming-Hung Shih   +4 more
doaj   +1 more source