Showing 8,081 - 8,100 results of 8,230 for search 'Optimal detection methods', query time: 0.16s Refine Results
  1. 8081

    Geometric Mean Rate Maximization in RIS-Aided mmWave ISAC Systems Relying on a Non-Diagonal Phase Shift Matrix by Jitendra Singh, Aditya K. Jagannatham, Lajos Hanzo

    Published 2025-01-01
    “…Consequently, we propose an iterative alternating optimization approach that leverages the majorization-minimization (MM) framework and block coordinate descent (BCD) method to solve each sub-problem. …”
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    Article
  2. 8082

    Measurement of contact pattern displacement of hypoid gears with optical thermal camera by Stefan GERDHENRICHS, Manuel OEHLER, Daniel BUSCHMANN, Robert Heinrich SCHMITT, Oliver KOCH

    Published 2024-09-01
    “…When optimizing the micro geometry in the development process of a gear set, the deflection behavior under load situations is important to predict the realistic component life span and acoustic behavior. …”
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    Article
  3. 8083

    Bayesian Estimation-Based Pedestrian Tracking in Microcells by Yoshiaki Taniguchi, Masahiro Sasabe, Satoshi Aihara, Hirotaka Nakano

    Published 2013-01-01
    “…Through simulations, we show that the tracking success ratio of the proposed method is increased by 35.8% compared to a combinatorial optimization-based tracking method.…”
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  4. 8084

    Principal Component Analysis-Based Shading Defect Identification and Categorization in Standalone PV Systems Using I-V Curves by Hayder Dakhil Atiyah, Mohamed Boukattaya, Fatma Bensalem

    Published 2023-12-01
    “…This paper presents a cost-effective and highly accurate method for detecting, diagnosing, and classifying shading faults based on real I-V data obtained through electrical measurements under both healthy and shaded conditions. …”
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  5. 8085

    Novel gas-diffusion microextraction followed by gas chromatography coupled to tandem mass spectrometry methodology for the determination of fragrance allergens in cosmetic products by Ana Castiñeira-Landeira, Angel Gomez-Feas, Antonia M. Carro, Thierry Dagnac, Paulo J. Almeida, Maria Llompart

    Published 2025-05-01
    “…Subsequently, an experimental design was performed to evaluate the influence of six parameters: acceptor solution volume, acetonitrile percentage in the acceptor solution, sample dilution, salting-out effect, extraction time, and sample volume. Under the optimized conditions, the method was validated in terms of linearity, precision, trueness, obtaining a good performance. …”
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    Article
  6. 8086

    Real-Time Recognition of Loading Cycles’ Process Based on Electric Mining Shovel Monitoring by Bonan Wang, Yun Duan, Wei Xu

    Published 2022-01-01
    “…Moreover, the dynamic time warping (DTW) algorithm was used to detect and classify the preliminary recognition results by optimizing its distance threshold parameters, reducing the error rate of the model. …”
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    Article
  7. 8087

    2D DOA Estimation of Wideband and FH Signals Using Improved K-means Clustering and Implementation Considerations by Zahra Memarian, Mahdi Majidi

    Published 2025-08-01
    “…To enhance the speed and accuracy of 2D DOA estimation for narrowband, wideband (WB), and frequency hopping (FH) signals, this study introduces a method that integrates power spectrum density (PSD) and spectrogram analysis of the receiver’s instantaneous bandwidth with an optimized filter bank, to precisely detect active frequencies and their intervals. …”
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  8. 8088
  9. 8089

    LABELING EXTRACELLULAR VESICLES FOR HIGHLY SENSITIVE FLOW CYTOMETRY ANALYSES

    Published 2025-08-01
    “…For this reason, the translation of basic research into clinical practice has been precluded. We have optimized a simple flow cytometry method, which, avoiding any pre-enrichment step, allows the identification, classification, enumeration, and separation, by fluorescence activated cell sorting, circulating EVs stemming from different parental cells. …”
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  10. 8090

    Profiling endogenous airway proteases and antiproteases and modeling proteolytic activation of Influenza HA using in vitro and ex vivo human airway surface liquid samples. by Stephanie A Brocke, Boris Reidel, Camille Ehre, Meghan E Rebuli, Carole Robinette, Kevin D Schichlein, Christian A Brooks, Ilona Jaspers

    Published 2024-01-01
    “…Secondly, we present an optimized method for probing the proteolytic environment of airway surface liquid samples (in vitro and ex vivo) using fluorogenic peptides modeling the cleavage sites of respiratory viruses. …”
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    Article
  11. 8091

    Myocarditis Diagnosis Using Semi-Supervised Generative Adversarial Network and Differential Evolution by Haifeng Gui, Na Zhang

    Published 2024-09-01
    “…To minimize reliance on hyperparameters, the Random Key method is employed, optimized using the DE algorithm. …”
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  12. 8092

    APPROACHES TO CHORIONIC GONADOTROPIN QUANTITATIVE DETERMINATION IN ANTI-DOPING CONTROL by I. O. Zvereva, N. B. Savelieva, P. V. Postnikov, Yu. A. Efimova, M. A. Dikunets

    Published 2017-02-01
    “…Quantitative evaluation of hCG using specific fragments determination by UPLC-MS/MS allows to detect corresponding hCG isoforms. This significantly increases the method specificity and decreases the probability of false-positive results.…”
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    Article
  13. 8093

    Model-free estimation of completeness, uncertainties, and outliers in atomistic machine learning using information theory by Daniel Schwalbe-Koda, Sebastien Hamel, Babak Sadigh, Fei Zhou, Vincenzo Lordi

    Published 2025-04-01
    “…We demonstrate that the information entropy of a distribution of atom-centered environments explains known heuristics in ML potential developments, from training set sizes to dataset optimality. Using this tool, we propose a model-free UQ method that reliably predicts epistemic uncertainty and detects out-of-distribution samples, including rare events in systems such as nucleation. …”
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  14. 8094

    Properties of hydrolysates derived from the by-products of processing Atlantic cod by Naumenko N.V., Antonova A.D., Popova N.V., Kalinina I.V., Skachkova E.N.

    Published 2025-01-01
    “…One such approach may involve the use of the enzymatic hydrolysis of secondary fish raw materials is one of the approaches commonly applied in the food industry for maximizing the beneficial and functional properties of processed food raw materials. To optimize this conventional method of production and improve the physicochemical and functional parameters of the resulting hydrolysate, ultrasound treatment has been proposed as a pre-treatment step. …”
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  15. 8095
  16. 8096

    Search for Neutrino Doublets and Triplets Using 11.4 yr of IceCube Data by R. Abbasi, M. Ackermann, J. Adams, S. K. Agarwalla, J. A. Aguilar, M. Ahlers, J.M. Alameddine, N. M. Amin, K. Andeen, C. Argüelles, Y. Ashida, S. Athanasiadou, S. N. Axani, R. Babu, X. Bai, A. Balagopal V., M. Baricevic, S. W. Barwick, S. Bash, V. Basu, R. Bay, J. J. Beatty, J. Becker Tjus, J. Beise, C. Bellenghi, S. BenZvi, D. Berley, E. Bernardini, D. Z. Besson, E. Blaufuss, L. Bloom, S. Blot, F. Bontempo, J. Y. Book Motzkin, C. Boscolo Meneguolo, S. Böser, O. Botner, J. Böttcher, J. Braun, B. Brinson, Z. Brisson-Tsavoussis, J. Brostean-Kaiser, L. Brusa, R. T. Burley, D. Butterfield, M. A. Campana, I. Caracas, K. Carloni, J. Carpio, S. Chattopadhyay, N. Chau, Z. Chen, D. Chirkin, S. Choi, B. A. Clark, A. Coleman, P. Coleman, G. H. Collin, A. Connolly, J. M. Conrad, R. Corley, D. F. Cowen, C. De Clercq, J. J. DeLaunay, D. Delgado, S. Deng, A. Desai, P. Desiati, K. D. de Vries, G. de Wasseige, T. DeYoung, A. Diaz, J. C. Díaz-Vélez, P. Dierichs, M. Dittmer, A. Domi, L. Draper, H. Dujmovic, D. Durnford, K. Dutta, M. A. DuVernois, T. Ehrhardt, L. Eidenschink, A. Eimer, P. Eller, E. Ellinger, S. El Mentawi, D. Elsässer, R. Engel, H. Erpenbeck, W. Esmail, J. Evans, P. A. Evenson, K. L. Fan, K. Fang, K. Farrag, A. R. Fazely, A. Fedynitch, N. Feigl, S. Fiedlschuster, C. Finley, L. Fischer, D. Fox, A. Franckowiak, S. Fukami, P. Fürst, J. Gallagher, E. Ganster, A. Garcia, M. Garcia, G. Garg, E. Genton, L. Gerhardt, A. Ghadimi, C. Girard-Carillo, C. Glaser, T. Glüsenkamp, J. G. Gonzalez, S. Goswami, A. Granados, D. Grant, S. J. Gray, S. Griffin, S. Griswold, K. M. Groth, D. Guevel, C. Günther, P. Gutjahr, C. Ha, C. Haack, A. Hallgren, L. Halve, F. Halzen, L. Hamacher, H. Hamdaoui, M. Ha Minh, M. Handt, K. Hanson, J. Hardin, A. A. Harnisch, P. Hatch, A. Haungs, J. Häussler, K. Helbing, J. Hellrung, J. Hermannsgabner, L. Heuermann, N. Heyer, S. Hickford, A. Hidvegi, C. Hill, G. C. Hill, R. Hmaid, K. D. Hoffman, S. Hori, K. Hoshina, M. Hostert, W. Hou, T. Huber, K. Hultqvist, M. Hünnefeld, R. Hussain, K. Hymon, A. Ishihara, W. Iwakiri, M. Jacquart, S. Jain, O. Janik, M. Jansson, M. Jeong, M. Jin, B. J. P. Jones, N. Kamp, D. Kang, W. Kang, X. Kang, A. Kappes, D. Kappesser, L. Kardum, T. Karg, M. Karl, A. Karle, A. Katil, U. Katz, M. Kauer, J. L. Kelley, M. Khanal, A. Khatee Zathul, A. Kheirandish, J. Kiryluk, S. R. Klein, Y. Kobayashi, A. Kochocki, R. Koirala, H. Kolanoski, T. Kontrimas, L. Köpke, C. Kopper, D. J. Koskinen, P. Koundal, M. Kowalski, T. Kozynets, N. Krieger, J. Krishnamoorthi, T. Krishnan, K. Kruiswijk, E. Krupczak, A. Kumar, E. Kun, N. Kurahashi, N. Lad, C. Lagunas Gualda, M. Lamoureux, M. J. Larson, F. Lauber, J. P. Lazar, K. Leonard DeHolton, A. Leszczyńska, J. Liao, M. Lincetto, Y. T. Liu, M. Liubarska, C. Love, L. Lu, F. Lucarelli, W. Luszczak, Y. Lyu, J. Madsen, E. Magnus, K. B. M. Mahn, Y. Makino, E. Manao, S. Mancina, A. Mand, W. Marie Sainte, I. C. Mariş, S. Marka, Z. Marka, M. Marsee, I. Martinez-Soler, R. Maruyama, F. Mayhew, F. McNally, J. V. Mead, K. Meagher, S. Mechbal, A. Medina, M. Meier, Y. Merckx, L. Merten, J. Mitchell, T. Montaruli, R. W. Moore, Y. Morii, R. Morse, M. Moulai, T. Mukherjee, R. Naab, M. Nakos, U. Naumann, J. Necker, A. Negi, L. Neste, M. Neumann, H. Niederhausen, M. U. Nisa, K. Noda, A. Noell, A. Novikov, A. Obertacke Pollmann, V. O’Dell, A. Olivas, R. Orsoe, J. Osborn, E. O’Sullivan, V. Palusova, H. Pandya, N. Park, G. K. Parker, V. Parrish, E. N. Paudel, L. Paul, C. Pérez de los Heros, T. Pernice, J. Peterson, A. Pizzuto, M. Plum, A. Pontén, Y. Popovych, M. Prado Rodriguez, B. Pries, R. Procter-Murphy, G. T. Przybylski, L. Pyras, C. Raab, J. Rack-Helleis, N. Rad, M. Ravn, K. Rawlins, Z. Rechav, A. Rehman, E. Resconi, S. Reusch, W. Rhode, B. Riedel, A. Rifaie, E. J. Roberts, S. Robertson, S. Rodan, M. Rongen, A. Rosted, C. Rott, T. Ruhe, L. Ruohan, D. Ryckbosch, I. Safa, J. Saffer, D. Salazar-Gallegos, P. Sampathkumar, A. Sandrock, M. Santander, S. Sarkar, S. Sarkar, J. Savelberg, P. Savina, P. Schaile, M. Schaufel, H. Schieler, S. Schindler, L. Schlickmann, B. Schlüter, F. Schlüter, N. Schmeisser, T. Schmidt, J. Schneider, F. G. Schröder, L. Schumacher, S. Schwirn, S. Sclafani, D. Seckel, L. Seen, M. Seikh, M. Seo, S. Seunarine, P. Sevle Myhr, R. Shah, S. Shefali, N. Shimizu, M. Silva, B. Skrzypek, B. Smithers, R. Snihur, J. Soedingrekso, A. Søgaard, D. Soldin, P. Soldin, G. Sommani, C. Spannfellner, G. M. Spiczak, C. Spiering, J. Stachurska, M. Stamatikos, T. Stanev, T. Stezelberger, T. Stürwald, T. Stuttard, G. W. Sullivan, I. Taboada, S. Ter-Antonyan, A. Terliuk, M. Thiesmeyer, W. G. Thompson, J. Thwaites, S. Tilav, K. Tollefson, C. Tönnis, S. Toscano, D. Tosi, A. Trettin, M. A. Unland Elorrieta, A. K. Upadhyay, K. Upshaw, A. Vaidyanathan, N. Valtonen-Mattila, J. Vandenbroucke, N. van Eijndhoven, D. Vannerom, J. van Santen, J. Vara, F. Varsi, J. Veitch-Michaelis, M. Venugopal, M. Vereecken, S. Vergara Carrasco, S. Verpoest, D. Veske, A. Vijai, C. Walck, A. Wang, C. Weaver, P. Weigel, A. Weindl, J. Weldert, A. Y. Wen, C. Wendt, J. Werthebach, M. Weyrauch, N. Whitehorn, C. H. Wiebusch, D. R. Williams, L. Witthaus, M. Wolf, G. Wrede, X. W. Xu, J. P. Yanez, E. Yildizci, S. Yoshida, R. Young, F. Yu, S. Yu, T. Yuan, A. Zegarelli, S. Zhang, Z. Zhang, P. Zhelnin, P. Zilberman, M. Zimmerman, IceCube Collaboration

    Published 2025-01-01
    “…A new search method optimized for transient neutrino emission with a monthly timescale is employed, providing a higher sensitivity to neutrino fluxes. …”
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  17. 8097

    How machine learning on real world clinical data improves adverse event recording for endoscopy by Stefan Wittlinger, Isabella C. Wiest, Mahboubeh Jannesari Ladani, Jakob Nikolas Kather, Matthias P. Ebert, Fabian Siegel, Sebastian Belle

    Published 2025-07-01
    “…Accurate and comprehensive documentation is crucial for enhancing patient safety and optimizing clinical outcomes; however, adverse events remain underreported. …”
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    Article
  18. 8098

    Development of molecular diagnostic tests for marine mammal DNA viruses, herpesvirus, poxvirus, and anellovirus, using a portable biomeme Franklin thermocycler by Jieun Park, Seonghyeon Lee, Shivani Rajoriya, Daehyun Kim, Bohyeon Kim, Augustine Natasha, Sara Puspareni Prayitno, Haryo Seno Pangestu, Minsung Lee, Min-Jeong Kim, Kyunglee Lee, Seung Won Jung, Taek-Kyun Lee, Won-Keun Kim

    Published 2025-09-01
    “…Using real-time quantitative polymerase chain reaction (real-time qPCR), we developed and validated a portable diagnostic method for detecting viruses infecting marine mammals in field applications. …”
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  19. 8099

    Network Security Situational Awareness Based on Improved Particle Swarm Algorithm and Bidirectional Long Short-Term Memory Modeling by Peng Zheng, Yun Cheng, Wei Zhu, Bo Liu, Shuhong Liu, Shijie Wang, Jinyin Bai

    Published 2025-02-01
    “…Considering the regular temporal fluctuations in network attacks, a method for network security situational awareness, based on an enhanced Particle Swarm Optimization Bidirectional Long Short-Term Memory (BiLSTM) network model, is proposed. …”
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  20. 8100

    Volatile Organic Compounds in Honey: Tandem Mass Spectrometry as Tool to Quantitate Priority VOCs by Evangelia N. Tzanetou, Efstathia Vousaxaki, Kyriaki Machera, Jozef van der Steen, Konstantinos M. Kasiotis

    Published 2024-12-01
    “…The HS conditions were optimized, and method validation criteria were extensively investigated. …”
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