A Novel Convolutional Neural Network-Based Approach for Fault Classification in Photovoltaic Arrays by Farkhanda Aziz, Azhar Ul Haq, Shahzor Ahmad, Yousef Mahmoud, Marium Jalal, Usman Ali

Get full text

Classification of polyphenol oxidases shows ancient gene duplication leading to two distinct enzyme types by Ida K.S. Meitil, Caio de O.G. Silva, Anders Gorm Pedersen, Jane W. Agger

Get full text

EEG Channel Selection Using Particle Swarm Optimization for the Classification of Auditory Event-Related Potentials by Alejandro Gonzalez, Isao Nambu, Haruhide Hokari, Yasuhiro Wada

Get full text

Comparison of Matrix Pencil Extracted Features in Time Domain and in Frequency Domain for Radar Target Classification by Mahmoud Khodjet-Kesba, Khalil El Khamlichi Drissi, Sukhan Lee, Kamal Kerroum, Claire Faure, Christophe Pasquier

Get full text

Commercial classification of conventional polypropylene and polyester meshes for groin hernia repair: A descriptive study by Can Deniz Deveci, Stina Öberg, Jacob Rosenberg

“…OBJECTIVE: Despite established definitions of weight classification available from the European Hernia Society and others, a discrepancy exists in the classification used by mesh companies. …”
Get full text

Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network by Amit Kumar Rai, Nirupama Mandal, Krishna Kant Singh, Ivan Izonin

Get full text

Land use and land cover classification for change detection studies using convolutional neural network by V. Pushpalatha, P.B. Mallikarjuna, H.N. Mahendra, S. Rama Subramoniam, S. Mallikarjunaswamy

“…Efficient land use land cover (LULC) classification is crucial for environmental monitoring, urban planning, and resource management. …”
Get full text

Species classification of Tabanus (Diptera: Tabanidae) in Western Thailand: Integrating DNA barcoding and modern morphometrics by Tanasak Changbunjong, Thekhawet Weluwanarak, Sedthapong Laojun, Tanawat Chaiphongpachara

Get full text

Focal Nodular Hyperplasia and Hepatocellular Adenoma around the World Viewed through the Scope of the Immunopathological Classification by Charles Balabaud, Wesal R. Al-Rabih, Pei-Jer Chen, Kimberley Evason, Linda Ferrell, Juan C. Hernandez-Prera, Shiu-Feng Huang, Thomas Longerich, Young Nyun Park, Alberto Quaglia, Peter Schirmacher, Christine Sempoux, Swan N. Thung, Michael Torbenson, Aileen Wee, Matthew M. Yeh, Shiou-Hwei Yeh, Brigitte Le Bail, Jessica Zucman-Rossi, Paulette Bioulac-Sage

Get full text

An Annotated List of Nearctic Donaciinae (Coleoptera: Chrysomelidae): The Generic Classification and Type Specimens of the New World Species by Ingolf S. Askevold

Get full text

Validity and reliability International Classification of Diseases-10 codes for all forms of injury: A systematic review. by Sarah Paleczny, Nosakhare Osagie, Jai Sethi, Michael Cusimano

“…Across all injuries, the mean outcome values and ranges were sensitivity: 61.6% (35.5%-96.0%), specificity: 91.6% (85.8%-100%), PPV: 74.9% (58.6%-96.5%), NPV: 80.2% (44.6%-94.4%), Cohen's kappa: 0.672 (0.480-0.928), Krippendorff's alpha: 0.453, and Fleiss' kappa: 0.630. …”
Get full text

An Educational Approach to Higgs Boson Hunting Using Machine Learning Classification Algorithms on ATLAS Open Data by Ayşe Bat

Get full text

Day-Ahead Operational Strategy for Virtual Power Plant Considering Green Certificate Classification in Coupled Market by TIAN Yuliang, QIN Zhijun, HUANG Zhen

Get full text

Knowledge-point classification using simple LSTM-based and siamese-based networks for virtual patient simulation by Yih-Lon Lin, Yu-Min Chiang, Tsuen-Chiuan Tsai, Sheng-Gui Su

Get full text

Does the CDC Surgical Wound Classification adequately predict postoperative infection in lower extremity fracture surgery? by Elizabeth Cho, MD, Hanna House, MD, Andrew Marten, BS, Marina Feffer, MPH, Julie Agel, MA, John Scolaro, MD, Meir Marmor, MD, Ashley E. Levack, MD, MAS, OTA Classification & Outcomes Committee, James Kellam, MD, Gillian Soles, MD, Jarrod Dumpe, MD, Kyle Schweser, MD, Geoffrey Maracek, MD

“…When compared with Class I, Classes II through IV had increased odds of infection (odds ratio [OR] II: 3.5, P = 0.012; OR III: 6.8, P < 0.001; OR IV: 11.0, P < 0.001). …”
Get full text

YOLOX-SwinT algorithm improves the accuracy of AO/OTA classification of intertrochanteric fractures by orthopedic trauma surgeons by Xue-Si Liu, Rui Nie, Ao-Wen Duan, Li Yang, Xiang Li, Le-Tian Zhang, Guang-Kuo Guo, Qing-Shan Guo, Dong-Chu Zhao, Yang Li, He-Hua Zhang

“…Results: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. …”
Get full text

Agricultural and Related Pest Control Applicator License Classifications under the Florida Department of Agriculture and Consumer Services (FDACS) by Frederick M. Fishel

Get full text

Single-Object-Based Region Growth: Key Area Localization Model for Remote Sensing Image Scene Classification by Feiyang Li, Jiangtao Wang, Mingyang Wang, Ziyang Wang

Get full text

Automatic Detection and Classification of Road, Car, and Pedestrian Using Binocular Cameras in Traffic Scenes with a Common Framework by Yongchao Song, Jieru Yao, Yongfeng Ju, Yahong Jiang, Kai Du

Get full text

Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification. by Jaipriya D, Sriharipriya K C

Get full text