Relevant bibliographies by topics / Deep record

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Deep record'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Deep record"

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Araya, Juan Francisco, Axel Alf, and Juan Antonio Aliaga. "NEW RECORDS FOR BOLMA GIRGYLLUS (REEVE, 1861) AND BOLMA RECENS (DELL, 1967) (GASTROPODA: TURBINIDAE) EXTEND THEIR GEOGRAPHICAL DISTRIBUTIONS IN THE PHILIPPINES AND AUSTRALIA." Journal of Conchology 44, no. 5 (2023): 425–29. https://doi.org/10.5281/zenodo.8073805.

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New records for Bolma girgyllus (Reeve, 1861) are presented based on specimens collected at 165m depth West of Shark Bay, West Australia, and for Bolma recens (Dell, 1967) for specimens collected off Tinina, Balut Island, Mindanao, and off Luzon, Philippines. This is the first record of B. girgyllus in the entire Australian continent, and the southernmost record for the species, extending the previously known southern distribution record from New Caledonia by about three latitudinal degrees. Regarding B. recens, this is the first published record of this species in the Philippines, filling a g
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Bergquist, Derk C., Frederick M. Williams, and Charles R. Fisher. "Longevity record for deep-sea invertebrate." Nature 403, no. 6769 (2000): 499–500. http://dx.doi.org/10.1038/35000647.

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Wang, Wenjing, and Li Zhao. "Deep Learning in Product Manufacturing Record System." International Journal of Advanced Network, Monitoring and Controls 6, no. 3 (2021): 59–65. http://dx.doi.org/10.21307/ijanmc-2021-028.

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Abstract Deep learning based data analysis techniques are investigated in the context of product production record systems, using CNN, STACK LSTM, GRU, INCEPTION, ConvLSTM and CasualLSTM techniques to design network models and to study the processing of temporal data. Three network models are proposed for the problem of predicting the pass rate of upcoming product inspection records, namely CNN-STACK LSTM, INCEPTION-GRU and INCEPTION-Casual LSTM, and the structure of each network model follows the learning of local-global features. The experimental results show that the INCEPTION-GRU network m
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Trueman, Clive N., Ming-Tsung Chung, and Diana Shores. "Ecogeochemistry potential in deep time biodiversity illustrated using a modern deep-water case study." Philosophical Transactions of the Royal Society B: Biological Sciences 371, no. 1691 (2016): 20150223. http://dx.doi.org/10.1098/rstb.2015.0223.

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The fossil record provides the only direct evidence of temporal trends in biodiversity over evolutionary timescales. Studies of biodiversity using the fossil record are, however, largely limited to discussions of taxonomic and/or morphological diversity. Behavioural and physiological traits that are likely to be under strong selection are largely obscured from the body fossil record. Similar problems exist in modern ecosystems where animals are difficult to access. In this review, we illustrate some of the common conceptual and methodological ground shared between those studying behavioural ec
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Pham, Nam, and Weichang Li. "Physics-constrained deep learning for ground roll attenuation." GEOPHYSICS 87, no. 1 (2021): V15—V27. http://dx.doi.org/10.1190/geo2020-0691.1.

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We have developed a method to combine unsupervised and supervised deep-learning approaches for seismic ground roll attenuation. The method consists of three components that have physical meaning and motivation. The first component is a convolutional neural network (CNN) to separate a seismic record into ground roll and signal, while minimizing the residual between the sum of the generated signal and ground roll from two subnetworks and the input seismic record. The second component creates a maximum separation of signal and ground roll in the f- k domain, by training a supervised classifier. T
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Nancy, Yolimar Suárez-Mozo, and E. Hendrickx Michel. "New record for the deep-sea genus Tripoplax (Mollusca: Polyplacophora) in the eastern Pacific." Marine Biodiversity Records 9 (December 31, 2016): 1–6. https://doi.org/10.1186/s41200-016-0011-z.

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Nancy Yolimar Suárez-Mozo, Michel E. Hendrickx (2016): New record for the deep-sea genus Tripoplax (Mollusca: Polyplacophora) in the eastern Pacific. Marine Biodiversity Records 9: 1-6, DOI: 10.1186/s41200-016-0011-z
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Broecker, Wallace S., Michael Andree, Georges Bonani, Willi Wolfli, Hans Oeschger, and Mieczyslawa Klas. "Can the Greenland Climatic Jumps be Identified in Records from Ocean and Land?" Quaternary Research 30, no. 1 (1988): 1–16. http://dx.doi.org/10.1016/0033-5894(88)90082-8.

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Sharp jumps in climate punctuate the records from borings in the Greenland ice cap during the time interval 60,000 to about 20,000 yr ago. Rapid fluctuations are also seen in foraminifera records for cores from the northern Atlantic and in a pollen record from a core from a bog in the Vosges Mountains in France. In this paper we present a new radiocarbon chronology for northern Atlantic deep-sea core V23-81 which permits comparison with the radiocarbon-dated Vosges Mountains pollen record. Because of the lack of a 14C chronology for the Greenland ice record and of distortions peculiar to each
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Jurek-Loughrey, Anna. "Deep learning based approach to unstructured record linkage." International Journal of Web Information Systems 17, no. 6 (2021): 607–21. http://dx.doi.org/10.1108/ijwis-05-2021-0058.

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Purpose In the world of big data, data integration technology is crucial for maximising the capability of data-driven decision-making. Integrating data from multiple sources drastically expands the power of information and allows us to address questions that are impossible to answer using a single data source. Record Linkage (RL) is a task of identifying and linking records from multiple sources that describe the same real world object (e.g. person), and it plays a crucial role in the data integration process. RL is challenging, as it is uncommon for different data sources to share a unique id
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Swinbanks, David. "Deep-sea sonar: New GLORIA in record time." Nature 320, no. 6063 (1986): 568. http://dx.doi.org/10.1038/320568a0.

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Brandt, Angelika. "A new deep-sea isopod from the Weddell Sea, Antarctica: Coperonus pinguis n. sp. (Crustacea, Isopoda, Munnopsidae)." Bijdragen tot de Dierkunde 62, no. 1 (1992): 55–61. http://dx.doi.org/10.1163/26660644-06201004.

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Dissertations / Theses on the topic "Deep record"

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Davies, Nia Wyn. "Deep dyslexia in bilingual aphasic patients." Thesis, Swansea University, 2007. https://cronfa.swan.ac.uk/Record/cronfa43050.

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The present thesis concerns the acquired reading disorder of deep dyslexia. Semantic errors (semantic paralexias) in reading aloud (e.g. reading 'ring' as 'wedding' or 'ruler' as 'rubber') constitute the cardinal symptom of deep dyslexia. Semantic errors of oral reading by aphasic patients have been said to be comparatively rare in languages with a shallow (transparent) orthography (e.g. Spanish and Italian). Miceli et al. (1994) argued in relation to reading aloud and writing that 'transparent orthographies are relatively protectedfrom the production o f semantic paralexias and paragraphias'
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Beyki, Mohammad Reza. "Synthetic Electronic Medical Record Generation using Generative Adversarial Networks." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/104642.

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It has been a while that computers have replaced our record books, and medical records are no exception. Electronic Health Records (EHR) are digital version of a patient's medical records. EHRs are available to authorized users, and they contain the medical records of the patient, which should help doctors understand a patient's condition quickly. In recent years, Deep Learning models have proved their value and have become state-of-the-art in computer vision, natural language processing, speech and other areas. The private nature of EHR data has prevented public access to EHR datasets. There
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Ye, Zhu Yi Fan. "Deep learning for pharmaceutical formulation prediction." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3952123.

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Pitkänen, P. (Perttu). "Automatic image quality enhancement using deep neural networks." Master's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201904101454.

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Abstract. Photo retouching can significantly improve image quality and it is considered an essential part of photography. Traditionally this task has been completed manually with special image enhancement software. However, recent research utilizing neural networks has been proven to perform better in the automated image enhancement task compared to traditional methods. During the literature review of this thesis, multiple automatic neural-network-based image enhancement methods were studied, and one of these methods was chosen for closer examination and evaluation. The chosen network desig
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Rajapakshage, N. (Nuwanthika). "Potential deep learning approaches for the physical layer." Master's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201908142760.

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Abstract. Deep learning based end-to-end learning of a communications system tries to optimize both transmitter and receiver blocks in a single process in an end-to-end manner, eliminating the need for artificial block structure of the conventional communications systems. Recently proposed concept of autoencoder based end-to-end communications is investigated in this thesis to validate its potential as an alternative to conventional block structured communications systems. A single user scenario in the additive white Gaussian noise (AWGN) channel is considered in this thesis. Autoencoder based
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Waterson, Amy May. "Biogeographic response to palaeoclimatic change in the fossil record : a deep-time perspective." Thesis, University of Bristol, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.723444.

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Lempka, Scott Francis. "The electrode-tissue interface during record and stimulation in the central nervous system." Cleveland, Ohio : Case Western Reserve University, 2010. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=case1270107550.

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Bengana, M. (Mohamed). "Land cover and forest segmentation using deep neural networks." Master's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201905101715.

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Tiivistelmä. Land Use and Land Cover (LULC) information is important for a variety of applications notably ones related to forestry. The segmentation of remotely sensed images has attracted various research subjects. However this is no easy task, with various challenges to face including the complexity of satellite images, the difficulty to get hold of them, and lack of ready datasets. It has become clear that trying to classify on multiple classes requires more elaborate methods such as Deep Learning (DL). Deep Neural Networks (DNNs) have a promising potential to be a good candidate for the t
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Ding, Guoping. "Impact of deep building foundations on coastal groundwater flow systems." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B3769232X.

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Zhu, Congyong. "Deep level defects study of arsenic implanted ZnO single crystal." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B40987759.

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Books on the topic "Deep record"

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Matsen, Bradford. The incredible record-setting deep-sea dive of the bathysphere. Enslow Publishers, 2003.

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ill, Roy Katherine, ed. Otis and Will discover the deep: The record-setting dive of the Bathysphere. Little, Brown Books for Young Readers, 2018.

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Henry, Gee. In search of deep time: Beyond the fossil record to a new history of life. Cornell University Press, 1999.

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Redwood, Richard B. The Redwood family of Mobile: The record of a large family in a deep south community during the 19th century, with family group records. Willowbrook Press, 1993.

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Mark, LaBarbera, and Minnesota Wildlife Heritage Foundation, eds. Minnesota deer classic record book. 2nd ed. Minnesota Wildlife Heritage Foundation, 1987.

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Ian, McMurchy, ed. World record whitetail: The Hanson buck story. Krause Publications, 1995.

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Lawson, Larry E. Trophy (record) bucks of Indiana. L.E. Lawson, 1985.

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M, Fleming Robert. An informal bibliography of shipwreck sources and records for divers: Arranged by title for rapid scanning. The Author, 1996.

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Mark, LaBarbera, Price Hugh, and Wildlife Heritage Association, eds. Minnesota deer classic third edition record book. 3rd ed. Wildlife Heritage Association, 1991.

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1955-, Mansor Scott, ed. Wyoming's finest mule deer. Wyoming's Finest Mule Deer, 1998.

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Book chapters on the topic "Deep record"

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Bose, Rituparna, and Alexander J. Bartholomew. "Evolution in the Fossil Record." In Macroevolution in Deep Time. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6476-1_4.

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Seibold, Eugen, and Wolfgang H. Berger. "Paleoceanography — the Deep-Sea Record." In The Sea Floor. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-662-22519-6_10.

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Seibold, Eugen, and Wolfgang H. Berger. "Paleoceanography — the Deep-Sea Record." In The Sea Floor. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-03317-3_10.

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Yang, Harry. "Deep Learning with Electronic Health Record." In Data Science, AI, and Machine Learning in Drug Development. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003150886-12.

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Shafik, Wasswa. "Deep Learning Models for Electronic Health Record Data Analysis." In Handbook of Deep Learning Models for Healthcare Data Processing. CRC Press, 2025. https://doi.org/10.1201/9781003467281-2.

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Poongodi, T., D. Sumathi, P. Suresh, and Balamurugan Balusamy. "Deep Learning Techniques for Electronic Health Record (EHR) Analysis." In Bio-inspired Neurocomputing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5495-7_5.

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Gu, Qing, Yongquan Dong, Yang Hu, and Yali Liu. "A Method for Duplicate Record Detection Using Deep Learning." In Web Information Systems and Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30952-7_10.

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Zhao, Pengpeng, Jie Xin, Xuefeng Xian, and Zhiming Cui. "Active Learning for Duplicate Record Identification in Deep Web." In Advances in Intelligent Systems and Computing. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54924-3_12.

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Wang, Hua, and Lingwei Wang. "Database Repeated Record Detection Algorithm for Information Deep Learning." In Cyber Security Intelligence and Analytics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97874-7_115.

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Schwing, Patrick T., David J. Hollander, Gregg R. Brooks, et al. "The Sedimentary Record of MOSSFA Events in the Gulf of Mexico: A Comparison of the Deepwater Horizon (2010) and Ixtoc 1 (1979) Oil Spills." In Deep Oil Spills. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11605-7_13.

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Conference papers on the topic "Deep record"

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Chen, Fanghua, Gang Zhou, Xin Geng, and Jinrui Zhang. "Detecting Abnormal Record in Automotive Maintenance Data Based on Deep Sparse Auto-Encoder." In 2024 11th International Conference on Electrical and Electronics Engineering (ICEEE). IEEE, 2024. https://doi.org/10.1109/iceee62185.2024.10779277.

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Chen, Fanghua, Gang Zhou, Xin Geng, and Jinrui Zhang. "Detecting Abnormal Record in Automotive Maintenance Data Based on Deep Sparse Auto-encoder." In 2023 IEEE 8th International Conference on Intelligent Transportation Engineering (ICITE). IEEE, 2023. http://dx.doi.org/10.1109/icite59717.2023.10733898.

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Suparno, Dari, Domy Kristomo, and Widyastuti Andriyani. "Chatbot Helpdesk for Centralized Meter Record Application (ACMT) by PLN using Deep Learning." In 2025 International Conference on Computer Sciences, Engineering, and Technology Innovation (ICoCSETI). IEEE, 2025. https://doi.org/10.1109/icocseti63724.2025.11019923.

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Mishra, Ritunsa, Rabinarayan Satpathy, and Bibudhendu Pati. "A Comparative Analysis on Deep Learning Approaches for Patient Data Privacy Using Electronic Health Record." In 2024 3rd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON). IEEE, 2024. https://doi.org/10.1109/odicon62106.2024.10797581.

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Ishikawa, Taichi, and Riki Honda. "Development of constructing 3D bridge models using deep learning based on structured knowledge." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.0955.

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<p>In recent years in Japan, infrastructures constructed during the period of rapid economic growth have been rapidly aging and their management has become an urgent issue. Because construction drawings and photographs are used for bridge management in Japan, inspectors cannot record 3D-information of damages precisely and accumulate damage records. To overcome these problems, the use of 3D models in bridge management is attracting attention as part of promotion of digital twins. There has been lots of research in which they construct 3D models using various types of data, including cons
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Dacha, Sai Kanth, René-Jean Essiambre, Alexei Ashikhmin, et al. "14 Bits per Photon Detection in the Photon Starved Regime for Deep-Space Optical Communication." In CLEO: Science and Innovations. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_si.2024.sw3n.5.

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We demonstrate a record 14 bits-per-incident-photon Photon Information Efficiency (PIE) detection using a new transmitter design that produces an average extinction ratio of 89 dB and operates at four times higher rates than previous high-PIE demonstrations.
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Kadhim, Ahmed C., Ahmad S. Azzahrani, and Bakr A. Taha. "3D phase profile for biological particle characterization using digital holographic microscopy." In Frontiers in Optics. Optica Publishing Group, 2024. https://doi.org/10.1364/fio.2024.jw5a.40.

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A hybrid digital holographic microscope is used to record a hologram of biological cells with fluorescent and phase information. The resultant hologram is processed for phase recovery using the deep learning algorithm to extract 3D phase distribution.
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Kirkpatrick, Earl L., and Jacob Smith. "Design of a C. P. System Upgrade at Comanche Peak Nuclear Power Plant." In CORROSION 2015. NACE International, 2015. https://doi.org/10.5006/c2015-05622.

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Abstract The distributed anode impressed current C. P. system, installed during original plant construction, was at the end of its useful life. A total system replacement was required since the existing groundbeds could not be replaced with like kind due to interferences with in place structures. The lead author functioned as Subject Matter Expert and Engineer of Record working with plant engineering staff to develop a new ICCP system consisting of 20 rectifiers and 22 semi-deep anode groundbeds. The task was completed by early 2013. This resulted in 4.2 million dollar construction project com
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Cheng, Ming-Che, Yi-Hsien Hsieh, Te-Cheng Hsu, Tung-Hung Su, and Che Lin. "Deep STI: Deep Stochastic Time-series Imputation on Electronic Health Records." In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2024. https://doi.org/10.1109/embc53108.2024.10782239.

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Pang, Haomin, Zhaoxu Wu, Haibo Luo, and Biwu Yi. "Deep learning-based browser record analysis research." In 2021 IEEE International Conference on Computer Science, Artificial Intelligence and Electronic Engineering (CSAIEE). IEEE, 2021. http://dx.doi.org/10.1109/csaiee54046.2021.9543211.

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Reports on the topic "Deep record"

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Bordo, Michael, and Joseph Haubrich. Deep Recessions, Fast Recoveries, and Financial Crises: Evidence from the American Record. National Bureau of Economic Research, 2012. http://dx.doi.org/10.3386/w18194.

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Lempert, Robert J., Michelle Miro, and Diogo Prosdocimi. A DMDU Guidebook for Transportation Planning Under a Changing Climate. Edited by Benoit Lefevre and Ernesto Monter Flores. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003042.

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The effects of climate-related natural hazards pose a significant threat to sustainable development in Latin America and the Caribbean (LAC) region and in particular its transportation sector. Risk Management provides an appropriate framework for assessing and mitigating the impacts of climate change and other climate-related natural hazards on transportation systems and choosing actions to enhance their resilience. However, analysts and policymakers involved in transportation planning, policy, and investment face significant challenges in managing the risks triggered by the effects of climate
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Beuermann, Diether, Henry Mooney, Elton Bollers, et al. Caribbean Quarterly Bulletin 2020: Volume 9: Issue 4, December 2020. Inter-American Development Bank, 2020. http://dx.doi.org/10.18235/0002948.

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For most Caribbean countries, the COVID-19 pandemic will translate into the deepest single-year contraction of real GDP on record in 2020. With the exception of Guyana, countries have experienced deep recessions, severe increases in unemployment, and long-lasting damage to many corporate and household balance sheets. The social consequences of the crisis continue to mount, and despite governments best efforts to buffer the shock to families, enterprises, and domestic markets, there remains a dire need for continued and more broad-based stimulus to ensure that economic capital both human and ot
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Cheng, DingXin. Development of the Roadway Pothole Management Program. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2306.

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Addressing the issue of potholes is a primary concern for maintaining urban infrastructure. The research team has developed a prototype pothole management program. The program includes a mobile application and two machine learning models. The mobile app enables users to upload images of potholes, report relevant information, and provide driving directions to the pothole location. With the help of this application, the user can seamlessly capture images of the potholes, record pertinent information, and submit the data for necessary action. The mobile application is an essential tool in the Pot
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Karlstrom, Karl, Laura Crossey, Allyson Matthis, and Carl Bowman. Telling time at Grand Canyon National Park: 2020 update. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2285173.

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Grand Canyon National Park is all about time and timescales. Time is the currency of our daily life, of history, and of biological evolution. Grand Canyon’s beauty has inspired explorers, artists, and poets. Behind it all, Grand Canyon’s geology and sense of timelessness are among its most prominent and important resources. Grand Canyon has an exceptionally complete and well-exposed rock record of Earth’s history. It is an ideal place to gain a sense of geologic (or deep) time. A visit to the South or North rims, a hike into the canyon of any length, or a trip through the 277-mile (446-km) len
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Tushingham, A. M. A compilation of deep-sea oxygen isotope records. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1991. http://dx.doi.org/10.4095/131506.

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Agarwal, Khushbu, and Sutanay Choudhury. DeepCare: Improving Patient Care using Deep Learning on Electronic Health Records. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1984684.

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Bernau, Jeremiah A., Charles G. Oviatt, Donald L. Clark, and Brenda B. Bowen. Sediment Logs Compiled From the Great Salt Lake Desert, Western Utah, With a Focus on the Bonneville Salt Flats Area. Utah Geological Survey, 2023. http://dx.doi.org/10.34191/ofr-754.

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Sediment logs from exposures, excavations, cores, and wells are valuable records that can be used to interpret depositional records, aquifer extents, and geologic structures. Here we present sediment logs compiled from the Great Salt Lake Desert (GSLD) in western Utah with a specific focus on the Bonneville Salt Flats area. The logs are grouped into three categories (shallow, alluvial fan, and deep) that may be used to explore different aspects of GSLD deposition.
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Stone, Robert P., Stephen D. Cairns, Dennis M. Opresko, Gary C. Williams, and Michele M. Masuda. A guide to the corals of Alaska. US Department of Commerce, NOAA, NMFS Scientific Publications Office, 2024. http://dx.doi.org/10.7755/pp.23.

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The Magnuson-Stevens Fishery Conservation and Management Reauthorization Act of 2006 mandat¬ed the research and management of the nation’s deep-sea coral resources through establishment of the National Oceanic and Atmospheric Administra¬tion’s Deep Sea Coral Research and Technology Program. The challenge for Alaska was daunting, where expansive, world-class fisheries often coincided with extraordinarily rich coral habitats for a high-latitude region. The first chal¬lenge was to inventory known locations of deep-sea corals. Many coral records and some museum collections existed from Alaska, but
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Mazari, Mehran, Yahaira Nava-Gonzalez, Ly Jacky Nhiayi, and Mohamad Saleh. Smart Highway Construction Site Monitoring Using Artificial Intelligence. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2025.2336.

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Construction is a large sector of the economy and plays a significant role in creating economic growth and national development,and construction of transportation infrastructure is critical. This project developed a method to detect, classify, monitor, and track objects during the construction, maintenance, and rehabilitation of transportation infrastructure by using artificial intelligence and a deep learning approach. This study evaluated the performance of AI and deep learning algorithms to compare their performance in detecting and classifying the equipment in various construction scenes.
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