Two-echelon vehicle routing problem for post-disaster aid by Nguyen, Dang Viet Anh

“…The problem of transporting relief goods and necessities to the affected area after a disaster deal with the multi level routing problem at the operational level. …”
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Data-driven small signal stability assessment of power system by Luo, Bingqian

“…We use principal component analysis and Relief’s method to perform data dimensionality reduction processing on input features. …”
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Improved extreme learning machine for spectra classification of Covid-19 by Wang, Changyang

“…Ultimately, the comprehensive neural network classification system proposed in this study (employing SNV+second-order derivative preprocessing, Relief algorithm for feature extraction, and ELMRBF-SRC as the classifier) achieves impressive accuracy, sensitivity, and specificity, reaching 94.27%, 88.19%, and 97.64%, respectively. …”
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Classification of electrographic seizures using deep learning approach by Bhowmik, Kaushik

“…As neurologists classify seizures into two types which are electroclinical and EEG only seizures because for each type of seizure, the neurologists prescribe different kinds of medicines to the patients for their recovery and relief. And to make this classification between these two type of seizures, the neurologists have to go through the long EEG recordings of patients and even compare the EEG recording during the seizure event with the video of patient to make this classification which is very time consuming and even sometimes seizure events are of such low intensity that they can easily be missed by neurologists. …”
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Cross-domain robustness in visual place recognition: an adversarial-based domain alignment approach by Lin, Yingying

“…This dissertation aims to relief this low cross-domain robustness problem and enhance domain generalization capability. …”
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