Relevant bibliographies by topics / DMSL method

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

Academic literature on the topic 'DMSL method'

Author: Grafiati
Published: 8 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "DMSL method"

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Walczak, Mariusz, Aleksander Świetlicki, Mirosław Szala, Marcin Turek, and Dariusz Chocyk. "Shot Peening Effect on Sliding Wear in 0.9% NaCl of Additively Manufactured 17-4PH Steel." Materials 17, no. 6 (2024): 1383. http://dx.doi.org/10.3390/ma17061383.

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The growing demand for modern steels showing corrosion and tribological resistance has led to their increased use in the production of medical devices. This study analyzed the effect of shot peening on wear resistance in 0.9% NaCl solution of 17-4PH steel produced by direct laser metal sintering (DMLS) technology. The study’s novelty relies on revealing the effect of shot peening (SP) surface treatment on the wet sliding wear resistance of 17-4PH steel produced with DMLS. Moreover, in the context of 17-4PH steel application for medical devices, the 0.9% NaCl tribological environment were selec
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Kinsey, Joanna D., and David J. Kieber. "Microwave preservation method for DMSP, DMSO, and acrylate in unfiltered seawater and phytoplankton culture samples." Limnology and Oceanography: Methods 14, no. 3 (2016): 196–209. http://dx.doi.org/10.1002/lom3.10081.

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Zhang, Xizhen, Aiwu Zhang, Yuan Sun, et al. "Deep Multi-Order Spatial–Spectral Residual Feature Extractor for Weak Information Mining in Remote Sensing Imagery." Remote Sensing 16, no. 11 (2024): 1957. http://dx.doi.org/10.3390/rs16111957.

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Remote sensing images (RSIs) are widely used in various fields due to their versatility, accuracy, and capacity for earth observation. Direct application of RSIs to harvest optimal results is generally difficult, especially for weak information features in the images. Thus, extracting the weak information in RSIs is reasonable to promote further applications. However, the current techniques for weak information extraction mainly focus on spectral features in hyperspectral images (HSIs), and a universal weak information extraction technology for RSI is lacking. Therefore, this study focused on
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Dong, Lihu, Yue Zhang, Zhuo Zhang, Longfei Xie, and Fengri Li. "Comparison of Tree Biomass Modeling Approaches for Larch (Larix olgensis Henry) Trees in Northeast China." Forests 11, no. 2 (2020): 202. http://dx.doi.org/10.3390/f11020202.

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Accurate quantification of tree biomass is critical and essential for calculating carbon storage, as well as for studying climate change, forest health, forest productivity, nutrient cycling, etc. Tree biomass is typically estimated using statistical models. Although various biomass models have been developed thus far, most of them lack a detailed investigation of the additivity properties of biomass components and inherent correlations among the components and aboveground biomass. This study compared the nonadditive and additive biomass models for larch (Larix olgensis Henry) trees in Northea
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Kong, Yingying, and Si Liu. "DMSC-GAN: A c-GAN-Based Framework for Super-Resolution Reconstruction of SAR Images." Remote Sensing 16, no. 1 (2023): 50. http://dx.doi.org/10.3390/rs16010050.

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Synthetic Aperture Radar (SAR) imagery is significant in remote sensing, but the limited spatial resolution results in restricted detail and clarity. Current super-resolution methods confront challenges such as complex network structure, insufficient sensing capability, and difficulty extracting features with local and global dependencies. To address these challenges, DMSC-GAN, a SAR image super-resolution technique based on the c-GAN framework, is introduced in this study. The design objective of DMSC-GAN is to enhance the flexibility and controllability of the model by utilizing conditional
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P., Pravalika Reddy*and Dr.G.Tulja Rani. "DEVELOPMENT AND VALIDATION OF UV SPECTROPHOTOMETRIC METHOD FOR THE DETERMINATION OF APIXABAN IN BULK AND PHARMACEUTICAL DOSAGE FORMS." Indo American Journal of Pharmaceutical Sciences 04, no. 08 (2017): 2425–29. https://doi.org/10.5281/zenodo.846373.

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<em>In the present work a simple, accurate and precise UV Spectrophotometric method has been developed for determination of Apixaban<sup>1-2</sup> in bulk and pharmaceutical formulations. The optimum conditions for the analysis of drug are established and Apixaban is found to exhibit maximum absorption at 282 nm with DMSO as a solvent. The present method is validated as per guidelines of the International Conference on Hormonization (ICH) guidelines<sup>3-5</sup> including parameters like linearity, accuracy, precision, limit of detection and limit of quantification. Drug obeyed Beer's law in
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Lomov, D. A. "Method of Regeneration of DMSO-d6." Russian Journal of Organic Chemistry 61, no. 3 (2025): 548–50. https://doi.org/10.1134/s1070428024604539.

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Mishra, Pawan Kumar, and Adam Ekielski. "A Simple Method to Synthesize Lignin Nanoparticles." Colloids and Interfaces 3, no. 2 (2019): 52. http://dx.doi.org/10.3390/colloids3020052.

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The self-assembly of lignin (molecular and supramolecular) is driven mainly by non-covalent interactions, and the nature of the solvents and antisolvents directly affect the driving forces. The lignin particle is usually formed by noncovalently bonded cylindrical subunits. In this paper, we report a simple method which can be used to synthesize lignin nanoparticles by using spray freezing. The method is based on two properties of dimethyl sulfoxide (DMSO) that are excellent lignin solubility and a high melting point. Based on these two properties, kraft lignin solution in DMSO was sprayed onto
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Griebler, Christian, and Doris Slezak. "Microbial Activity in Aquatic Environments Measured by Dimethyl Sulfoxide Reduction and Intercomparison with Commonly Used Methods." Applied and Environmental Microbiology 67, no. 1 (2001): 100–109. http://dx.doi.org/10.1128/aem.67.1.100-109.2001.

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ABSTRACT A new method to determine microbial (bacterial and fungal) activity in various freshwater habitats is described. Based on microbial reduction of dimethyl sulfoxide (DMSO) to dimethyl sulfide (DMS), our DMSO reduction method allows measurement of the respiratory activity in interstitial water, as well as in the water column. DMSO is added to water samples at a concentration (0.75% [vol/vol] or 106 mM) high enough to compete with other naturally occurring electron acceptors, as determined with oxygen and nitrate, without stimulating or inhibiting microbial activity. Addition of NaN3, KC
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Ren, Shengbing, Wangbo Shen, Chaudry Siddique, and You Li. "Self-Adaptive Deep Multiple Kernel Learning Based on Rademacher Complexity." Symmetry 11, no. 3 (2019): 325. http://dx.doi.org/10.3390/sym11030325.

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The deep multiple kernel learning (DMKL) method has caused widespread concern due to its better results compared with shallow multiple kernel learning. However, existing DMKL methods, which have a fixed number of layers and fixed type of kernels, have poor ability to adapt to different data sets and are difficult to find suitable model parameters to improve the test accuracy. In this paper, we propose a self-adaptive deep multiple kernel learning (SA-DMKL) method. Our SA-DMKL method can adapt the model through optimizing the model parameters of each kernel function with a grid search method an
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Dissertations / Theses on the topic "DMSL method"

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Stańczak, Magda. "Behaviour of additively manufactured metallic structures under blast loading." Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0073.

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La technique de fabrication additive permet d'étudier à l'échelle du laboratoire des structures métalliques à géométrie complexe. L'application de nouvelles structures peut être particulièrement bénéfique pour améliorer la capacité d'absorption d'énergie et d'atténuation des explosions. Dans cette thèse, le rôle de la topologie des structures en aluminium AlSi10Mg fabriquées de manière additive est étudiée. Plusieurs exemplaires de structures cellulaires sont présentées. On analysera la relation entre la densité relative et les réponses de déformation des structures, ainsi que les capacités d'
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Kreschel, Martin. "Experimentelle und numerische Untersuchungen an Dehnungsmessstreifen (DMS) mit übereinanderliegenden Messgittern." [S.l. : s.n.], 2002. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10447108.

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Kreschel, Martin. "Experimentelle und numerische Untersuchungen an Dehnungsmessstreifen (DMS) mit übereinanderliegenden Messgittern." Thesis, Universitätsbibliothek Chemnitz, 2002. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200201252.

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In der experimentellen Beanspruchungsanalyse ist der Einsatz von Dehnungsmessstreifen alltäglich. Besonders DMS-Rosetten mit übereinanderliegenden Messgittern bieten eine "punktgenaue" Auswertung des Dehnungszustandes an der Oberfläche eines Bauteiles. In numerischen und experimentellen Analysen wurde die Dehnungsübertragung in die übereinanderliegenden Messgitterschichten untersucht. Desweiteren wurde die Wärmeentwicklung der DMS-Rosetten auf verschiedenen Bauteilen untersucht.
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Ambrosio, Sophie d'. "Les intéractions d'échange dans le semi-conducteur magnétique dilué ZnO.Co." Thesis, Aix-Marseille, 2013. http://www.theses.fr/2013AIXM4304/document.

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Le travail sur le ZnO:Co rapporté dans ce manuscrit, donne une meilleure compréhension des interactions d'échange dans ce composé. La question des interactions spin-spin dans les DMS est abordée à la fois sur le plan théorique et expérimental. Du point de vue théorique, le modèle du superéchange d'Anderson a été utilisé et étendu, afin d'obtenir les valeurs des constantes d'échange sur l'ensemble de la série des DMS II-VI dopés Mn ou Co. Du point de vue expérimental, la combinaison inédite de trois méthodes expérimentales, la diffusion inélastique de neutrons (ou INS), la résonance paramagnéti
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Madsen, Sabine. "Emerging methods : an interpretive study of ISD methods in practice /." København, 2004. http://www.gbv.de/dms/zbw/476259614.pdf.

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Becker, Ralf. "Consumption equivalent public capital method and a three generations model /." Marburg : Metropolis-Verl, 2002. http://www.gbv.de/dms/zbw/35493113X.pdf.

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Wøhlk, Olsen Lina. "Essays on Georg Rasch and his contributions to statistics /." Copenhagen, 2003. http://www.gbv.de/dms/zbw/367192314.pdf.

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Johannemann, Ulf. "Entwicklung und Stand der unitary taxation method /." Münster : Lit, 1998. http://www.gbv.de/dms/spk/sbb/recht/toc/278101658.pdf.

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Seel, Christian. "Visuelle Simulation von Dienstleistungsprozessen : [Methode und Werkzeugunterstützung] /." Lohmar ; Köln : Eul, 2002. http://www.gbv.de/dms/zbw/353405949.pdf.

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Barthel, Tom. "Eine Methode zur Spezifikationserfassung heterogener Systeme /." Düsseldorf : VDI-Verl, 1999. http://www.gbv.de/dms/bs/toc/304348678.pdf.

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Books on the topic "DMSL method"

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Corradini, Fabio. Development of a HPLC method for analysis of DMSP, glycinebetaine and proline in plants. University College Dublin, 1996.

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Wolfe, Gordon V. Accumulation of dissolved DMSP by marine bacteria and its degradation via bacterivory. National Aeronautics and Space Administration, 1996.

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Siksimova, Marina, Ol'ga Begicheva, and Svetlana Mozgot. Solfeggio and music theory: a practical course. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1971854.

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The textbook combines all the main types and forms of practical work in the disciplines of the musical and theoretical cycle, as well as the main topics on musical literacy and music theory, forms of control papers (exam papers), which, as a rule, are presented in such publications separately, without following an integrated approach. The forms of planning and methods of implementation of independent work of students are elaborated and presented in detail. The proposed principle of systematic learning helps in the practical development of disciplines, contributes to the acquisition of the nece
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(Matthias), Rapp M., and SpringerLink (Online service), eds. The Double Dynamic Martin Screw (DMS): Adjustable Implant System for Proximal and Distal Femur Fractures. Steinkopff, 2008.

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Lindenberger, Alexandra. DMSO, MSM, CDL Handbuch: Die 3 Effektivsten Alternativen Heilmittel Um Ihre Gesundheit Langfristig Zu Verbessern und Entzündungen Zu Heilen Inkl. Detaillierte Eigen-Therapie Methode. Independently Published, 2019.

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Book chapters on the topic "DMSL method"

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Mayr, Martin. "Dehnungsmessstreifen-Methode (DMS-Methode)." In Technische Mechanik, 9th ed. Carl Hanser Verlag GmbH & Co. KG, 2021. http://dx.doi.org/10.3139/9783446469525.054.

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Mayr, Martin. "Dehnungsmessstreifen-Methode (DMS-Methode)." In Technische Mechanik. Carl Hanser Verlag GmbH & Co. KG, 2015. http://dx.doi.org/10.3139/9783446446182.046.

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Delley, B. "DMol Methodology and Applications." In Density Functional Methods in Chemistry. Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3136-3_7.

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Agner, T., and J. Serup. "DMSO Irritancy Assessed Using Noninvasive Methods." In Current Topics in Contact Dermatitis. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74299-6_86.

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Sahoo, Ashok Kumar, Seshadev Sahoo, and Virendra Patel. "Simulation of AlSi10Mg Powder for Temperature Profile by DMLS Method." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9057-0_73.

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Gupta, Paromita, and Silvia Rouskin. "In Vivo RNA Structure Probing with DMS-MaPseq." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1851-6_16.

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Su, Baolong, and Kevin J. Williams. "Analysis of the Mammalian Lipidome by DMS Shotgun Lipidomics." In Methods in Molecular Biology. Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-4116-3_21.

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Swarnakumari, V., and A. L. Theerthan. "Protein Stability Using Thermal Shift Assay (TSA): DMSO Tolerance." In Methods for Fragments Screening Using Surface Plasmon Resonance. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1536-8_6.

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Andrade, José M., Ricardo F. dos Santos, and Cecília M. Arraiano. "RNA Structure Analysis by Chemical Probing with DMS and CMCT." In Methods in Molecular Biology. Springer US, 2019. http://dx.doi.org/10.1007/978-1-0716-0231-7_13.

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Vera, Nicholas B., Michelle Clasquin, Stephen L. Coy, and Paul Vouros. "The Use of DMS-MS for the Quantitative Analysis of Acylcarnitines." In Methods in Molecular Biology. Springer US, 2019. http://dx.doi.org/10.1007/978-1-0716-0030-6_5.

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Conference papers on the topic "DMSL method"

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Prieto, C., D. Young, M. Singer, M. Clum, and T. J. Cyders. "Pitting Corrosion Resistance of a 316L Stainless Steel Manufactured by the Direct Metal Laser Sintering Process." In CORROSION 2018. NACE International, 2018. https://doi.org/10.5006/c2018-11569.

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Abstract Direct metal laser sintering (DMLS) is an additive manufacturing process that utilizes a laser to sinter powdered metal to make geometrically complex parts. However, DMLS generally produces material with lower mechanical performance and higher anisotropy as compared to conventional manufacturing approaches of the same material. Furthermore, components made by DMLS are believed to be more vulnerable to corrosion due to the presence of residual porosity, as well as laser induced microstructural deformations. This research focuses on the evaluation of the pitting corrosion resistance of
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Nomaguchi, Yutaka, Anders Askhøj, Kristian F. Madsen, Ryota Akai, and Kikuo Fujita. "Design Method Selection Matrix for Facilitating Product Platform and Family Design." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70861.

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The aim of this research is to develop a method to manage product platform and family design methods and to select one appropriate for a specific design case. As the need for product platform has increased over the last 20 years, research within the area has led to the development of various methods that aim at evaluating a candidate of design. While sharing similar approach, different researchers have developed different methods that vary greatly in type, focus and complexity. Although their differences are considered a strong point of the theoretical field, the large variety can end up compl
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Xu, Cai, Ziyu Guan, Wei Zhao, Yunfei Niu, Quan Wang, and Zhiheng Wang. "Deep Multi-View Concept Learning." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/402.

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Multi-view data is common in real-world datasets, where different views describe distinct perspectives. To better summarize the consistent and complementary information in multi-view data, researchers have proposed various multi-view representation learning algorithms, typically based on factorization models. However, most previous methods were focused on shallow factorization models which cannot capture the complex hierarchical information. Although a deep multi-view factorization model has been proposed recently, it fails to explicitly discern consistent and complementary information in mult
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Rodrigues, Figueiredo, Reis Linhares, and De Silva. "Processing of fine Lithium mineral tailings." In Proceedings of XVI International Mineral Processing and Recycling Conference, Belgrade, 28-30.05.2025. University of Belgrade, Technical Faculty, Bor, 2024. https://doi.org/10.5937/imprc25368r.

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Spodumene is a primary Lithium source found in pegmatite deposits, typically associated with tantalite, cassiterite, quartz, and albite. Common processing methods for spodumene include dense medium separation (DMS), magnetic separation, and flotation. DMS exploits differences in specific density among minerals; however, the similar densities of spodumene and gangue minerals pose significant challenges to this method. This research aims to assess the potential of using DMS, as a processing method, to recover Lithium from fine tailings generated by a tantalite processing plant in Brazil. Heavy l
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Zhijian, Lyu, Jiang Shaohua, Liang Yigao, and Gao Min. "GDGRU-DTA: Predicting Drug-Target Binding Affinity based on GNN and Double GRU." In 3rd International Conference on Data Mining and Machine Learning (DMML 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120703.

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The work for predicting drug and target affinity(DTA) is crucial for drug development and repurposing. In this work, we propose a novel method called GDGRU-DTA to predict the binding affinity between drugs and targets, which is based on GraphDTA, but we consider that protein sequences are long sequences, so simple CNN cannot capture the context dependencies in protein sequences well. Therefore, we improve it by interpreting the protein sequences as time series and extracting their features using Gate Recurrent Unit(GRU) and Bidirectional Gate Recurrent Unit(BiGRU). For the drug, our processing
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Huai, Mengdi, Hongfei Xue, Chenglin Miao, et al. "Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/352.

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As an effective way to learn a distance metric between pairs of samples, deep metric learning (DML) has drawn significant attention in recent years. The key idea of DML is to learn a set of hierarchical nonlinear mappings using deep neural networks, and then project the data samples into a new feature space for comparing or matching. Although DML has achieved practical success in many applications, there is no existing work that theoretically analyzes the generalization error bound for DML, which can measure how good a learned DML model is able to perform on unseen data. In this paper, we try
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Reddy, P. Deepak, Chirag Rudresh, and Adithya A S. "Multilingual Speech Recognition Methods using Deep Learning and Cosine Similarity." In 3rd International Conference on Data Mining and Machine Learning (DMML 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120702.

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The paper includes research on discovering new methods for multilingual speech recognition and comparing the effectiveness of the existing solutions with the proposed novelty approaches. The audio and textual multilingual dataset contains multilingual sentences where each sentence contains words from two different languages - English and Kannada. Our proposed speech recognition process includes preprocessing and splitting each audio sentence based on words, which is then given as input to the DL translator (using MFCC features) along with next word predictions. The use of a Next Word Predictio
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Jahan, Suchana, and Hazim El-Mounayri. "Game Theoretic Modelling Approach for Optimizing Direct Metal Laser Sintering Process Parameters Using Artificial Neural Network." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23504.

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Abstract Additive Manufacturing, also known as Rapid Prototyping and 3D Printing is a three-dimensional fabrication process, executed by adding materials in layers. Among many different classes of AM processes, Direct Metal Laser Sintering is a widely used metal part manufacturing method. The design, planning and implementation of overall DMLS process and its process parameters are yet to be optimized. To be able to render minimum defects as well as higher quantity of production, it is essential to apply ever developing computer technologies, data storage capabilities and optimization techniqu
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Yuan, Tao, Xinqi Zheng, and Wei Zhou. "Calculation methods of territorial development intensity using DMSP/OLS data." In 2011 19th International Conference on Geoinformatics. IEEE, 2011. http://dx.doi.org/10.1109/geoinformatics.2011.5980751.

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Zeng, Jie, Guoxian Yu, Jun Wang, Maozu Guo, and Xiangliang Zhang. "DMIL-III: Isoform-isoform interaction prediction using deep multi-instance learning method." In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019. http://dx.doi.org/10.1109/bibm47256.2019.8982956.

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Reports on the topic "DMSL method"

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Dang, Nhan, Jennifer Gottfried, and Frank De Lucia. The Electronic Excitation of 2,4,6-triamino-1,3,5-trinitrobenzene in DMSO Solution under Indirect Ultrafast Heating: A Comparison to Results Obtained by Optical Pumped Method. DEVCOM Army Research Laboratory, 2023. http://dx.doi.org/10.21236/ad1210128.

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Tello, Mario D., Daniel Sebastian Tello-Trillo, and Pablo Enrique Rojas Lara. Productivity and Market Power: The Case of Manufacturing Firms of Peru 2002-2019. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013470.

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This paper uses seven standard market power indicators (price-cost margin, and six drawn upon the production approach) to estimate the effect market power on the rate of change of total factor productivity for a sample of formal manufacturing firms of Peru for the period 2002-2019. After applying exogeneity tests and implementing panel data with fixed effects instrumental variable method, the results are not clear about the causal relationship between market power and firms' TFP. However, when the Double-Debiased machine learning (DML) causal method is applied for fixed effects panel data with
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Siripatrawan, Ubonratana. Active Chitosan-Based Film with Antimicrobial Property for Food Packaging Application. Chulalongkorn University, 2010. https://doi.org/10.58837/chula.res.2010.22.

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This research was aimed to develop an active film from chitosan film incorporated with green tea extract to enhance antioxidant and antimicrobial properties in order to be used for food shelf life extension. The experiments were divided into 3 parts. Firstly, chitosan-based film preparation and modification were determined. The results suggested that the optimum chitosan films could be prepared from 2% chitosan in 1% acetic acid. However, the chitosan film was brittle and had low flexibility. Mechanical property of chitosan film was modified by adding different concentrations of glycerol, as a
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