Parsimonious versus extensive bleeding score: can we simplify risk stratification after percutaneous coronary intervention and reduce bleeding events by de-escalation of the antipl... by Pascal Vranckx, Stephan Windecker, Marco Valgimigli, Neil O’Leary, Yoshinobu Onuma, Peter Damman, Eva Christine Ida Woelders, Kai Ninomiya, Denise Adriana Maria Peeters, Arnoud Willem Johannes van 't Hof, Patrick Washington J C Serruys, Robert-Jan Matthijs van Geuns

“…The ZON-HR classification had a lower sensitivity (0.09 vs 0.26) and a higher specificity (0.97 vs 0.84), positive predictive value (0.13 vs 0.08) and accuracy (0.92 vs 0.82). …”
Get full text

Effectiveness of an E-Nose Based on Metal Oxide Semiconductor Sensors for Coffee Quality Assessment by Yhan S. Mutz, Samara Mafra Maroum, Leticia L. G. Tessaro, Natália de Oliveira Souza, Mikaela Martins de Bem, Loyane Silvestre Alves, Luisa Pereira Figueiredo, Denes K. A. do Rosario, Patricia C. Bernardes, Cleiton Antônio Nunes

Get full text

A Novel Methodology for Performance Evaluation in Advanced Quality Control by Ethel García, Rita Peñabaena-Niebles, Winston S. Percybrooks, Kevin Palomino

Get full text

Energy-aware feature and classifier for behaviour recognition of laying hens in an aviary system by X. Yang, Q. Hu, L. Nie, C. Wang

Get full text

Improved Binary Grey Wolf Optimization Approaches for Feature Selection Optimization by Jomana Yousef Khaseeb, Arabi Keshk, Anas Youssef

Get full text

Multitask Learning-Based Pipeline-Parallel Computation Offloading Architecture for Deep Face Analysis by Faris S. Alghareb, Balqees Talal Hasan

Get full text

Computed Tomography Evaluation of Morphological Types of Femoral Trochlear Dysplasia in Small-Breed Dogs—A Retrospective Study by Radka S. Garnoeva

Get full text

Deep Learning on 3D Semantic Segmentation: A Detailed Review by Thodoris Betsas, Andreas Georgopoulos, Anastasios Doulamis, Pierre Grussenmeyer

Get full text

Analysis of Multidimensional Clinical and Physiological Data with Synolitical Graph Neural Networks by Mikhail Krivonosov, Tatiana Nazarenko, Vadim Ushakov, Daniil Vlasenko, Denis Zakharov, Shangbin Chen, Oleg Blyus, Alexey Zaikin

Get full text

A Hybrid Dynamic Principal Component Analysis Feature Extraction Method to Identify Piston Pin Wear for Binary Classifier Modeling by Hao Yang, Yubin Zhai, Mengkun Zheng, Tan Wang, Dongliang Guo, Jianhui Liang, Xincheng Li, Xianliang Liu, Mingtao Jia, Rui Zhang

Get full text

Optimization of an Intelligent Sorting and Recycling System for Solid Waste Based on Image Recognition Technology by Haitao Chen

Get full text

Diagnosis of Cognitive and Mental Disorders: A New Approach Based on Spectral–Spatiotemporal Analysis and Local Graph Structures of Electroencephalogram Signals by Arezoo Sanati Fahandari, Sara Moshiryan, Ateke Goshvarpour

Get full text

Construction and Analysis of Emotion Computing Model Based on LSTM by Huiping Jiang, Rui Jiao, Zequn Wang, Ting Zhang, Licheng Wu

“…This was 13% lower than in the ALL-LSTM model, indicating that inappropriate feature extraction methods could destroy the timing of EEG signals. …”
Get full text

Multimodal Data Fusion for Depression Detection Approach by Mariia Nykoniuk, Oleh Basystiuk, Nataliya Shakhovska, Nataliia Melnykova

Get full text

Improved HFACS on Human Factors of Construction Accidents: A China Perspective by Gui Ye, Qin Tan, Xiaoli Gong, Qingting Xiang, Yuhe Wang, Qinjun Liu

Get full text

Multimodal Assessment of Mental Workload During Automated Vehicle Remote Assistance: Modeling of Eye-Tracking-Related, Skin Conductance, and Cardiovascular Indicators by Fabian Walocha, Andreas Schrank, Hoai Phuong Nguyen, Klas Ihme

“…The results provide evidence that (A) elevated workload induced via a secondary task depreciates performance, and (B) we can identify workload levels person-independently as differences in tonic skin conductance (F(2,72) = 24.538, <i>p</i> < 0.001, partial η² = 0.405) and pupil dilation (F(2,72) = 13.872, <i>p</i> < 0.001, partial η² = 0.278), resulting in a classification accuracy of 58% in a three-class classification task. …”
Get full text

Fingerprinting Indoor Positioning Based on Improved Sequential Deep Learning by Dongfang Mao, Haojie Lin, Xuyang Lou

Get full text

A Refined Nomenclature System to Better Discriminate Endo- and Exo-Type Fructanases and Glucanases by Laura Leaerts, Jaime Ricardo Porras-Domínguez, Maxime Versluys, Wim Van den Ende

Get full text

Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey by Taojie Kuang, Pengfei Liu, Zhixiang Ren

“…Additionally, we discover that, as measured by ROC-AUC, augmenting 2D graphs with 3D information improves performance for classification tasks by up to 13.2% and enriching 2D graphs with 1D SMILES boosts multi-modal learning performance for regression tasks by up to 9.1%. …”
Get full text