Otwarty dostęp

Application of computers in artificial intelligence in the context of big data


Zacytuj

Prabhu, G., Urban, P. L. (2020). Elevating Chemistry Research with a Modern Electronics Toolkit. Chemical Reviews, 120(17), 9482-9553. Search in Google Scholar

MA Martínez, Fraguela, B. B., Cabaleiro, J. C. (2022). A highly optimized skeleton for unbalanced and deep divide-and-conquer algorithms on multi-core clusters. The Journal of Supercomputing, 78(8), 10434-10454. Search in Google Scholar

Bajwa, W. U., Cevher, V., Papailiopoulos, D., et al. (2020). Machine Learning From Distributed, Streaming Data [From the Guest Editors]. IEEE Signal Processing Magazine, 37(3), 11-13. Search in Google Scholar

Mehta, S., Fernandez, F., C Villagrán, et al. (2020). APPLICABILITY OF NOVEL, CLASS ACTIVATION MAPS (CAM) IN THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE-GUIDED, SINGLE AND 12-LEAD ECG TO DETECT ST-ELEVATION MYOCARDIAL INFARCTION. Journal of the American College of Cardiology, 75(11), 3474. Search in Google Scholar

O Brüning, Gray, H., Klein, K., et al. (2022). The scientific potential and technological challenges of the High-Luminosity Large Hadron Collider program. Reports on Progress in Physics, 85(4), 046201-. Search in Google Scholar

Luo, W., Yang, X. Z., Dong, H., et al. (2020). Multi-dimensional Research on Synergic Evolution of China’s Marine Economic System Oriented by High-quality Development. Journal of Coastal Research, 110(sp1). Search in Google Scholar

Julie, B., Bastien, D., Magali, G., et al. (2022). DNA methylation profiles after ART during human lifespan: a systematic review and meta-analysis. Human Reproduction Update, 2022(5), 5. Search in Google Scholar

Bai, S., Bai, S., Fang, D., et al. (2019). Research and Application of Artificial Intelligence Technology in the Field of Risk Perception. Journal of Physics: Conference Series, 1302, 022002-. Search in Google Scholar

Renner, H., Schler, H. R., Bruder, J. M. (2021). Combining Automated Organoid Workflows With Artificial Intelligence-Based Analyses: Opportunities to Build a New Generation of Interdisciplinary High-Throughput Screens for Parkinson’s Disease and Beyond. Movement Disorders. Search in Google Scholar

Schwalbe, N., Wahl, B. (2020). Artificial intelligence and the future of global health. The Lancet, 395(10236), 1579-1586. Search in Google Scholar

Scatigno, C., Festa, G. (2022). FTIR coupled with machine learning to unveil spectroscopic benchmarks in the Italian EVOO. International Journal of Food Science and Technology, 57(7). Search in Google Scholar

Sharafati, A., Asadollah, S., Neshat, A. (2020). A new artificial intelligence strategy for predicting the groundwater level over the Rafsanjan aquifer in Iran. Journal of Hydrology, 591, 125468. Search in Google Scholar

Chen, J., Zhang, M., Xu, B., et al. (2020). Artificial intelligence assisted technologies for controlling the drying of fruits and vegetables using physical fields: A review. Trends in Food Science & Technology, 105, 251-260. Search in Google Scholar

Ma, L. (2021). Realization of artificial intelligence interactive system for advertising education in the era of 5G integrated media. Wireless Networks, 1-14. Search in Google Scholar

Rijn, R., Luca, A. D. (2020). Three Reasons Why Artificial Intelligence Might Be the Radiologist’s Best Friend. Radiology, 296(1), 200855. Search in Google Scholar

Harsha, M., Timothy, M. (2022). 0747 Polysomnogram characteristics associated with artificial Intelligence enabled electrocardiogram algorithm predicted probability of atrial fibrillation in patients with obstructive sleep apnea. SLEEP, Supplement_1. Search in Google Scholar

Haick, H., Tang, N. (2021). Artificial Intelligence in Medical Sensors for Clinical Decisions. ACS Nano. Search in Google Scholar

Jeevan, G., Zacharias, G. C., Nair, M. S., et al. (2022). An empirical study of the impact of masks on face recognition. Pattern Recognition, 122, 108308-. Search in Google Scholar

Mehrizi, M., Ooijen, P. V., Homan, M. (2020). Applications of artificial intelligence (AI) in diagnostic radiology: a technography study. European Radiology, 31(1). Search in Google Scholar

Sermesant, M., Delingette, H., Cochet, H., et al. (2021). Applications of artificial intelligence in cardiovascular imaging. Nature Reviews Cardiology, Suppl. 1. Search in Google Scholar

Rakha, E. A., Toss, M., Shiino, S., et al. (2020). Current and future applications of artificial intelligence in pathology: A clinical perspective. Journal of Clinical Pathology, jclinpath-2020-206908. Search in Google Scholar

Chidambaram, S., Sounderajah, V., Maynard, N., et al. (2022). ASO Author Reflections: Applications of Artificial Intelligence in Oesophago-Gastric Malignancies—Present Work and Future Directions. Annals of Surgical Oncology, 29(3), 1991-1992. Search in Google Scholar

Morgan, M. B., Mates, J. L. (2021). Applications of Artificial Intelligence in Breast Imaging. Radiologic Clinics of North America, 59(1), 139-148. Search in Google Scholar

Xing, G., Liang, L., Deng, C., et al. (2020). Activity Prediction of Small Molecule Inhibitors for Antirheumatoid Arthritis Targets Based on Artificial Intelligence. ACS Combinatorial Science, 22(12). Search in Google Scholar

Qi, Q., Shen, R., Wang, J., et al. (2021). Spatial-Temporal Learning-Based Artificial Intelligence for IT Operations in the Edge Network. IEEE Network. Search in Google Scholar

Miyagi, Y., Miyake, T. (2020). Potential of Artificial Intelligence for Estimating Japanese Fetal Weights. Acta medica Okayama, 6. Search in Google Scholar

Madani, A., Feldman, L. (2021). Artificial Intelligence for Augmenting Perioperative Surgical Decision-Making-Are We There Yet? JAMA surgery, 156(10), 941. Search in Google Scholar

Cheung, W. Y., Farrer, C., Darwish, L., et al. (2021). 82P Exploring treatment patterns and outcomes of patients with advanced lung cancer (aLC) using artificial intelligence (AI)-extracted data. Annals of Oncology, 32, S1407-. Search in Google Scholar

Rothschild, P. S., Mcguinness, M., Scheetz, J., et al. (2021). Evaluating artificial intelligence decision support for diabetic retinopathy grading: A prospective study of eye health professionals. Clinical and experimental ophthalmology, 49(8). Search in Google Scholar

Bera, K., Braman, N., Gupta, A., et al. (2021). Predicting cancer outcomes with radiomics and artificial intelligence in radiology. Nature Reviews Clinical Oncology, 19(2). Search in Google Scholar

Dorothea, O., Radu, T., Christoph, M., et al. (2022). Using artificial intelligence to determine the influence of dental aesthetics on facial attractiveness in comparison to other facial modifications. European Journal of Orthodontics, 2022(4). Search in Google Scholar

Akhlaghi, Y. G., Aslansefat, K., Zhao, X., et al. (2021). Hourly performance forecast of a dew point cooler using explainable Artificial Intelligence and evolutionary optimisations by 2050. Applied Energy, 281. Search in Google Scholar

He, Y. (2021). Artificial Intelligence English Learning and Recognition System Based on EMD Algorithm of Vector Geometric Model. Wireless Networks, 1-11. Search in Google Scholar

Han, C., Watkins, W. T., Wong, J., et al. (2021). Clinical Validation of Artificial Intelligence Based Auto-Segmentation of Organs-at-Risk in Total Marrow Irradiation Treatment. International Journal of Radiation Oncology, Biology, Physics, 2021(111-3S). Search in Google Scholar

Kim, D., C.-H. H., Park, I., et al. (2022). Untangling the contribution of input parameters to an artificial intelligence PM2.5 forecast model using the layer-wise relevance propagation method. Atmospheric Environment, 2022(276-May). Search in Google Scholar

eISSN:
2444-8656
Język:
Angielski
Częstotliwość wydawania:
Volume Open
Dziedziny czasopisma:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics