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1. Full Text AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification
by Gui-Song Xia and Jingwen Hu and Fan Hu and Baoguang Shi and Xiang Bai and Yanfei Zhong and Liangpei Zhang and Xiaoqiang Lu
IEEE transactions on geoscience and remote sensing, ISSN 0196-2892, 07/2017, Volume 55, Issue 7, pp. 3965 - 3981
Earth | Performance evaluation | Google | Aerial images | Semantics | Benchmark testing | Rivers | scene classification | Remote sensing | benchmark | Benchmark | Scene classification | Engineering | Physical Sciences | Technology | Engineering, Electrical & Electronic | Remote Sensing | Imaging Science & Photographic Technology | Science & Technology | Geochemistry & Geophysics | Image processing | Artificial intelligence | Usage | Evaluation | Image resolution | Aversion learning | Methodology | Benchmarks | Data | Imagery | Datasets | Learning algorithms | Algorithms | Serial learning | Scene analysis | Classification | Machine learning | Detection | Image classification
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2. Full Text 'Diet GMTKN55' offers accelerated benchmarking through a representative subset approach
by Gould, Tim and Gould, Tim
Physical chemistry chemical physics : PCCP, ISSN 1463-9076, 2018, Volume 20, Issue 44, pp. 27735 - 27739
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3. Full Text Delayed brainstem auditory evoked potential latencies in 14-year-old children exposed to methylmercury
by Murata, Katsuyuki and Weihe, Pál and Budtz-Jørgensen, Esben and Jørgensen, Poul J and Grandjean, Philippe
The Journal of pediatrics, ISSN 0022-3476, 2004, Volume 144, Issue 2, pp. 177 - 183
BMR | Benchmark dose level | National Research Council | BMDL | Brainstem auditory evoked potential | Benchmark response | PCB | MeHg | BAEP | Methylmercury | BMD | Polychlorinated biphenyl | NRC | Benchmark dose | Life Sciences & Biomedicine | Pediatrics | Science & Technology | Biological and medical sciences | General aspects | Medical sciences | Methylmercury Compounds - analysis | Prenatal Exposure Delayed Effects | Audiometry | Food Contamination | Humans | Hair - chemistry | Seafood - adverse effects | Male | Environmental Exposure - adverse effects | Pregnancy | Fetal Blood - chemistry | Adolescent | Methylmercury Compounds - toxicity | Denmark | Evoked Potentials, Auditory, Brain Stem - drug effects | Female | Mercury Poisoning, Nervous System - physiopathology | Child | Evoked Potentials, Auditory, Brain Stem - physiology | Cohort Studies | Index Medicus | Abridged Index Medicus
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4. Full Text Video anomaly detection and localisation based on the sparsity and reconstruction error of auto-encoder
by Sabokrou, M and Fathy, M and Hoseini, M
Electronics letters, ISSN 0013-5194, 6/2016, Volume 52, Issue 13, pp. 1122 - 1124
Image and vision processing and display technology | autoencoder | image classification | input video patch reconstruction | video frame scanning | video anomaly detection method | cubic‐patch‐based anomaly detector | video coding | image reconstruction | UMN benchmark | image scanners | normal training patching | image representation | video anomaly localisation method | UCSD benchmark | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Reconstruction | State of the art | Detectors | Electronics | Benchmarks | Error detection | Representations | Anomalies
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5. Full Text A Fault-Injection Strategy for Traction Drive Control Systems
by Chunhua Yang and Chao Yang and Tao Peng and Xiaoyue Yang and Weihua Gui
IEEE transactions on industrial electronics (1982), ISSN 0278-0046, 07/2017, Volume 64, Issue 7, pp. 5719 - 5727
Fault diagnosis | Benchmark testing | Electric variables | Traction motors | Sensors | Safety | fault injection | Circuit faults | traction drive control systems (TDCSs) | signal benchmark | Engineering, Electrical & Electronic | Engineering | Automation & Control Systems | Technology | Instruments & Instrumentation | Science & Technology | Control systems | Usage | Research | Simulation | High speed trains | Control equipment | Converters | Benchmarks | Strategy | Traction
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6. Full Text Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems
by Venkata Rao, R
International journal of industrial engineering computations, ISSN 1923-2926, 12/2016, Volume 7, Issue 1, pp. 19 - 34
Unconstrained benchmark problems | CEC 2006 | Constrained benchmark problems | Jaya algorithm | Statistical tests | Optimization | Rank tests | Conduction | Constraints | Algorithms | Mathematical analysis | Benchmarking | Mathematical models
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7. Full Text Remote Sensing Image Scene Classification: Benchmark and State of the Art
by Cheng, Gong and Han, Junwei and Lu, Xiaoqiang
Proceedings of the IEEE, ISSN 0018-9219, 10/2017, Volume 105, Issue 10, pp. 1865 - 1883
Social network services | unsupervised feature learning | Remote sensing | Unsupervised learning | Benchmark data set | deep learning | Satellites | Image analysis | handcrafted features | Machine learning | Classification | Benchmark testing | remote sensing image | scene classification | Spatial resolution | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Datasets | Occlusion | Literature reviews | Data sets | Benchmarks | Detection | Image classification | Universities | Computer Science - Computer Vision and Pattern Recognition
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8. Full Text A hybrid self-adaptive sine cosine algorithm with opposition based learning
by Gupta, Shubham and Deep, Kusum
Expert systems with applications, ISSN 0957-4174, 04/2019, Volume 119, pp. 210 - 230
Engineering application problems | Self-adaptation | Sine Cosine algorithm (SCA) | Benchmark test problems | Population based algorithms | Opposition based learning | Operations Research & Management Science | Engineering | Technology | Computer Science | Engineering, Electrical & Electronic | Computer Science, Artificial Intelligence | Science & Technology | Stagnation | Heuristic methods | Adaptive algorithms | Benchmarks | Optimization | Global optimization | Population (statistical) | Algorithms | Searching | Machine learning | Trigonometric functions | Expert systems | Heuristic
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9. Full Text Encoding Color Information for Visual Tracking: Algorithms and Benchmark
by Pengpeng Liang and Blasch, Erik and Haibin Ling
IEEE transactions on image processing, ISSN 1057-7149, 12/2015, Volume 24, Issue 12, pp. 5630 - 5644
evaluation | Visualization | Target tracking | Image coding | Visual tracking | Image color analysis | Color | Benchmark testing | Gray-scale | benchmark | color | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Algorithms | Tracking | Benchmarking | Mathematical models | Encoding | Transaction processing | Visual
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10. Full Text The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
by Menze, Bjoern H and Jakab, Andras and Bauer, Stefan and Kalpathy-Cramer, Jayashree and Farahani, Keyvan and Kirby, Justin and Burren, Yuliya and Porz, Nicole and Slotboom, Johannes and Wiest, Roland and Lanczi, Levente and Gerstner, Elizabeth and Weber, Marc-Andre and Arbel, Tal and Avants, Brian B and Ayache, Nicholas and Buendia, Patricia and Collins, D. Louis and Cordier, Nicolas and Corso, Jason J and Criminisi, Antonio and Das, Tilak and Delingette, Herve and Demiralp, Cagatay and Durst, Christopher R and Dojat, Michel and Doyle, Senan and Festa, Joana and Forbes, Florence and Geremia, Ezequiel and Glocker, Ben and Golland, Polina and Xiaotao Guo and Hamamci, Andac and Iftekharuddin, Khan M and Jena, Raj and John, Nigel M and Konukoglu, Ender and Lashkari, Danial and Mariz, Jose Antonio and Meier, Raphael and Pereira, Sergio and Precup, Doina and Price, Stephen J and Riklin Raviv, Tammy and Reza, Syed M. S and Ryan, Michael and Sarikaya, Duygu and Schwartz, Lawrence and Hoo-Chang Shin and Shotton, Jamie and Silva, Carlos A and Sousa, Nuno and Subbanna, Nagesh K and Szekely, Gabor and Taylor, Thomas J and Thomas, Owen M and Tustison, Nicholas J and Unal, Gozde and Vasseur, Flor and Wintermark, Max and Dong Hye Ye and Liang Zhao and Binsheng Zhao and Zikic, Darko and Prastawa, Marcel and Reyes, Mauricio and Van Leemput, Koen
IEEE transactions on medical imaging, ISSN 0278-0062, 10/2015, Volume 34, Issue 10, pp. 1993 - 2024
Image segmentation | Brain | MRI | Benchmark testing | Benchmark | Educational institutions | Oncology/tumor | Lesions | Biomedical imaging | Engineering | Computer Science, Interdisciplinary Applications | Life Sciences & Biomedicine | Technology | Engineering, Biomedical | Radiology, Nuclear Medicine & Medical Imaging | Computer Science | Engineering, Electrical & Electronic | Imaging Science & Photographic Technology | Science & Technology | Neuroimaging - methods | Algorithms | Magnetic Resonance Imaging - standards | Glioma - pathology | Humans | Magnetic Resonance Imaging - methods | Benchmarking | Neuroimaging - standards | Benchmarks | Usage | Diagnostic imaging | Research | Brain tumors | Index Medicus | Computer science | Cognitive science | Oncology | tumor
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