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1

Khardi, S. "Aircraft Shortest and Fastest Continuous Descent Approach Development." Journal of Aircraft 49, no. 6 (2012): 1931–39. http://dx.doi.org/10.2514/1.c031775.

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Turgut, Enis T., Oznur Usanmaz, Ali Ozan Canarslanlar, and Ozlem Sahin. "Energy and emission assessments of continuous descent approach." Aircraft Engineering and Aerospace Technology 82, no. 1 (2010): 32–38. http://dx.doi.org/10.1108/00022661011028092.

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3

Gągorowski, Andrzej. "CONTINUOUS DESCENT APPROACH: NOISE TEST FOR WARSAW INTERNATIONAL AIRPORT." Journal of KONES. Powertrain and Transport 19, no. 2 (2015): 167–74. http://dx.doi.org/10.5604/12314005.1137915.

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4

Cao, Yi, Li Jin, Nguyen V. P. Nguyen, Steven Landry, Dengfeng Sun, and Joseph Post. "Evaluation of Fuel Benefits Depending on Continuous Descent Approach Procedures." Air Traffic Control Quarterly 22, no. 3 (2014): 251–75. http://dx.doi.org/10.2514/atcq.22.3.251.

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Jin, Li, Yi Cao, and Dengfeng Sun. "Investigation of Potential Fuel Savings Due to Continuous-Descent Approach." Journal of Aircraft 50, no. 3 (2013): 807–16. http://dx.doi.org/10.2514/1.c032000.

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6

Novak, Doris, Tomislav Radisic, and Mira Pavlinovic. "Ecological and Operational Aspects of Continuous Descent Approach – Croatian Case." Journal of Traffic and Logistics Engineering 2, no. 2 (2014): 95–99. http://dx.doi.org/10.12720/jtle.2.2.95-99.

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7

Itoh, E., M. Everdij, G. J. (B) Bakker, and H. Blom. "Effects of surveillance failure on airborne-based continuous descent approach." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 226, no. 11 (2011): 1470–80. http://dx.doi.org/10.1177/0954410011421995.

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8

Browning, Sharon. "A Monte Carlo approach to calculating probabilities for continuous identity by descent data." Journal of Applied Probability 37, no. 03 (2000): 850–64. http://dx.doi.org/10.1017/s0021900200016041.

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Two related individuals are identical by descent at a genetic locus if they share the same gene copy at that locus due to inheritance from a recent common ancestor. We consider idealized continuous identity by descent (IBD) data in which IBD status is known continuously along chromosomes. IBD data contains information about the relationship between the two individuals, and about the underlying crossover processes. We present a Monte Carlo method for calculating probabilities for IBD data. The method is not restricted to Haldane's Poisson process model of crossing-over but may be used with othe
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9

Browning, Sharon. "A Monte Carlo approach to calculating probabilities for continuous identity by descent data." Journal of Applied Probability 37, no. 3 (2000): 850–64. http://dx.doi.org/10.1239/jap/1014842841.

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Two related individuals are identical by descent at a genetic locus if they share the same gene copy at that locus due to inheritance from a recent common ancestor. We consider idealized continuous identity by descent (IBD) data in which IBD status is known continuously along chromosomes. IBD data contains information about the relationship between the two individuals, and about the underlying crossover processes. We present a Monte Carlo method for calculating probabilities for IBD data. The method is not restricted to Haldane's Poisson process model of crossing-over but may be used with othe
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10

Clarke, John-Paul B., Nhut T. Ho, Liling Ren, et al. "Continuous Descent Approach: Design and Flight Test for Louisville International Airport." Journal of Aircraft 41, no. 5 (2004): 1054–66. http://dx.doi.org/10.2514/1.5572.

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11

Reynolds, Hayley J. Davison, R. John Hansman, and Tom G. Reynolds. "Human Factors Implications of Continuous Descent Approach Procedures for Noise Abatement." Air Traffic Control Quarterly 14, no. 1 (2006): 25–45. http://dx.doi.org/10.2514/atcq.14.1.25.

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12

Ye, Lisha, Li Cao, and Xuhui Wang. "Evaluating Fuel Consumption for Continuous Descent Approach Based on QAR Data." PROMET - Traffic&Transportation 31, no. 4 (2019): 407–21. http://dx.doi.org/10.7307/ptt.v31i4.2933.

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Fuel savings are a significant aspect for evaluating the current and future technologies of civil aviation. Continuous-Descent Approach (CDA), as a representative of new concepts, requires a method for evaluating its fuel benefits. However, because of unavailability of the practical operational data, it is difficult to validate whether the previous fuel consumption mechanisms are suitable. This paper presents a unique method for quantifying potential fuel benefits. This permits an easy evaluation for the new procedures without modelling before implementing field tests. The proposed method is d
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13

Novak, Doris, Tino Bucak, and Tomislav Radišić. "Development, Design and Flight Test Evaluation of Continuous Descent Approach Procedure in FIR Zagreb." PROMET - Traffic&Transportation 21, no. 5 (2012): 319–29. http://dx.doi.org/10.7307/ptt.v21i5.247.

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As part of Local Conversion and Implementation Plan which is based on the EUROCONTROL Revised Convention the Republic of Croatia has undertaken to make a plan of implementing the Basic Continuous Descent Approach procedures. This paper addresses the issue of navigational path optimization for the A-319/320 commercial aircraft within the fleet of Croatia Airlines, during the approach part of flight, which has a positive effect on fuel consumption, greenhouse gas emission and area of surface affected by noise. The experiments were carried out in real conditions, using internal sensors onboard (F
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14

Glaser-Opitz, Henrich, Ján Labun, Kristína Budajová, and Leonard Glaser-Opitz. "DESCENT TRAJECTORY MODELLING FOR THE LANDING SYSTEM PROTOTYPE." Transport 35, no. 2 (2020): 133–42. http://dx.doi.org/10.3846/transport.2020.12231.

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This paper gives another view on a method used for aircraft approach and landing phase of flight that enables replacement of standard glideslope. Proposed Landing System is based on Terrain Reference Navigation (TRN) using own created terrain elevation database, based on Radar Altimeter (RA) measurements compared to the overflown terrain. Simulations were performed on a chosen airport (KSC – Košice Airport) and aircraft (Boeing 737-800), where descend procedures was designed based on real airline data in compliance with Initial 4D Trajectory (i4D). Descend trajectory was modelled with EUROCONT
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15

Ramos, Fabio, and Lionel Ott. "Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent." International Journal of Robotics Research 35, no. 14 (2016): 1717–30. http://dx.doi.org/10.1177/0278364916684382.

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The vast amount of data robots can capture today motivates the development of fast and scalable statistical tools to model the space the robot operates in. We devise a new technique for environment representation through continuous occupancy mapping that improves on the popular occupancy grip maps in two fundamental aspects: (1) it does not assume an a priori discrimination of the world into grid cells and therefore can provide maps at an arbitrary resolution; (2) it captures spatial relationships between measurements naturally, thus being more robust to outliers and possessing better generali
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16

Coppenbarger, Richard A., Rob W. Mead, and Douglas N. Sweet. "Field Evaluation of the Tailored Arrivals Concept for Datalink-Enabled Continuous Descent Approach." Journal of Aircraft 46, no. 4 (2009): 1200–1209. http://dx.doi.org/10.2514/1.39795.

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17

Alam, S., M. H. Nguyen, H. A. Abbass, Chris Lokan, M. Ellejmi, and S. Kirby. "Multi-Aircraft Dynamic Continuous Descent Approach Methodology for Low-Noise and Emission Guidance." Journal of Aircraft 48, no. 4 (2011): 1225–37. http://dx.doi.org/10.2514/1.c031241.

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18

Cao, Yi, Daniel DeLaurentis, and Dengfeng Sun. "Benefit and Trade-Off Analysis of Continuous Descent Approach in Normal Traffic Conditions." Transportation Research Record: Journal of the Transportation Research Board 2325, no. 1 (2013): 22–33. http://dx.doi.org/10.3141/2325-03.

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19

CASTRO, CARLOS, FRANCISCO PALACIOS, and ENRIQUE ZUAZUA. "AN ALTERNATING DESCENT METHOD FOR THE OPTIMAL CONTROL OF THE INVISCID BURGERS EQUATION IN THE PRESENCE OF SHOCKS." Mathematical Models and Methods in Applied Sciences 18, no. 03 (2008): 369–416. http://dx.doi.org/10.1142/s0218202508002723.

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We introduce a new optimization strategy to compute numerical approximations of minimizers for optimal control problems governed by scalar conservation laws in the presence of shocks. We focus on the 1 - d inviscid Burgers equation. We first prove the existence of minimizers and, by a Γ-convergence argument, the convergence of discrete minima obtained by means of numerical approximation schemes satisfying the so-called one-sided Lipschitz condition (OSLC). Then we address the problem of developing efficient descent algorithms. We first consider and compare the existing two possible approaches:
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20

Sardarmehni, Tohid, and Ali Heydari. "Sub-optimal scheduling in switched systems with continuous-time dynamics: A gradient descent approach." Neurocomputing 285 (April 2018): 10–22. http://dx.doi.org/10.1016/j.neucom.2018.01.003.

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21

Efthymiou, Marina, Frank Fichert, and Olaf Lantzsch. "Workload Perception of Air Traffic Control Officers and Pilots During Continuous Descent Operations Approach Procedures." Aviation Psychology and Applied Human Factors 9, no. 1 (2019): 2–11. http://dx.doi.org/10.1027/2192-0923/a000154.

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Abstract. The paper examines the workload perceived by air traffic control officers (ATCOs) and pilots during continuous descent operations (CDOs), applying closed- and open-path procedures. CDOs reduce fuel consumption and noise emissions. Therefore, they are supported by airports as well as airlines. However, their use often depends on pilots asking for CDOs and controllers giving approval and directions. An adapted NASA Total Load Index (TLX) was used to measure the workload perception of ATCOs and pilots when applying CDOs at selected European airports. The main finding is that ATCOs’ work
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22

Zhao, Zhenyu, Shuguang Yuan, Qingyun Nie, and Weishang Guo. "Continuous Reinforcement Algorithm and Robust Economic Dispatching-Based Spot Electricity Market Modeling considering Strategic Behaviors of Wind Power Producers and Other Participants." Journal of Electrical and Computer Engineering 2019 (March 3, 2019): 1–16. http://dx.doi.org/10.1155/2019/9406072.

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In a spot wholesale electricity market containing strategic bidding interactions among wind power producers and other participants such as fossil generation companies and distribution companies, the randomly fluctuating natures of wind power hinders not only the modeling and simulating of the dynamic bidding process and equilibrium of the electricity market but also the effectiveness about keeping economy and reliability in market clearing (economic dispatching) corresponding to the independent system operator. Because the gradient descent continuous actor-critic algorithm is demonstrated as a
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23

Chen, Yuhan, Xiao Luo, Baoling Han, Yan Jia, Guanhao Liang, and Xinda Wang. "A General Approach Based on Newton’s Method and Cyclic Coordinate Descent Method for Solving the Inverse Kinematics." Applied Sciences 9, no. 24 (2019): 5461. http://dx.doi.org/10.3390/app9245461.

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The inverse kinematics of robot manipulators is a crucial problem with respect to automatically controlling robots. In this work, a Newton-improved cyclic coordinate descent (NICCD) method is proposed, which is suitable for robots with revolute or prismatic joints with degrees of freedom of any arbitrary number. Firstly, the inverse kinematics problem is transformed into the objective function optimization problem, which is based on the least-squares form of the angle error and the position error expressed by the product-of-exponentials formula. Thereafter, the optimization problem is solved b
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24

Cho, Dong-Hyun, Donghoon Kim, and Henzeh Leeghim. "Optimal Lunar Landing Trajectory Design for Hybrid Engine." Mathematical Problems in Engineering 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/462072.

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The lunar landing stage is usually divided into two parts: deorbit burn and powered descent phases. The optimal lunar landing problem is likely to be transformed to the trajectory design problem on the powered descent phase by using continuous thrusters. The optimal lunar landing trajectories in general have variety in shape, and the lunar lander frequently increases its altitude at the initial time to obtain enough time to reduce the horizontal velocity. Due to the increment in the altitude, the lunar lander requires more fuel for lunar landing missions. In this work, a hybrid engine for the
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25

Gadetsky, Artyom, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, and Dmitry Vetrov. "Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 06 (2020): 10126–35. http://dx.doi.org/10.1609/aaai.v34i06.6572.

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Learning models with discrete latent variables using stochastic gradient descent remains a challenge due to the high variance of gradient estimates. Modern variance reduction techniques mostly consider categorical distributions and have limited applicability when the number of possible outcomes becomes large. In this work, we consider models with latent permutations and propose control variates for the Plackett-Luce distribution. In particular, the control variates allow us to optimize black-box functions over permutations using stochastic gradient descent. To illustrate the approach, we consi
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26

Faghidian, S. Ali. "A regularized approach to linear regression of fatigue life measurements." International Journal of Structural Integrity 7, no. 1 (2016): 95–105. http://dx.doi.org/10.1108/ijsi-12-2014-0071.

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Purpose – The linear regression technique is widely used to determine empirical parameters of fatigue life profile while the results may not continuously depend on experimental data. Thus Tikhonov-Morozov method is utilized here to regularize the linear regression results and consequently reduces the influence of measurement noise without notably distorting the fatigue life distribution. The paper aims to discuss these issues. Design/methodology/approach – Tikhonov-Morozov regularization method would be shown to effectively reduce the influences of measurement noise without distorting the fati
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27

Ippel, Lianne, Maurits Kaptein, and Jeroen Vermunt. "Dealing With Data Streams." Methodology 12, no. 4 (2016): 124–38. http://dx.doi.org/10.1027/1614-2241/a000116.

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Abstract. Novel technological advances allow distributed and automatic measurement of human behavior. While these technologies provide exciting new research opportunities, they also provide challenges: datasets collected using new technologies grow increasingly large, and in many applications the collected data are continuously augmented. These data streams make the standard computation of well-known estimators inefficient as the computation has to be repeated each time a new data point enters. In this tutorial paper, we detail online learning, an analysis method that facilitates the efficient
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28

Fekete, Dorottya, Joaquin Fontbona, and Andreas E. Kyprianou. "Skeletal stochastic differential equations for superprocesses." Journal of Applied Probability 57, no. 4 (2020): 1111–34. http://dx.doi.org/10.1017/jpr.2020.53.

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AbstractIt is well understood that a supercritical superprocess is equal in law to a discrete Markov branching process whose genealogy is dressed in a Poissonian way with immigration which initiates subcritical superprocesses. The Markov branching process corresponds to the genealogical description of prolific individuals, that is, individuals who produce eternal genealogical lines of descent, and is often referred to as the skeleton or backbone of the original superprocess. The Poissonian dressing along the skeleton may be considered to be the remaining non-prolific genealogical mass in the s
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29

Low, Kian Hsiang, Wee Kheng Leow, and Marcelo H. Ang. "An Ensemble of Cooperative Extended Kohonen Maps for Complex Robot Motion Tasks." Neural Computation 17, no. 6 (2005): 1411–45. http://dx.doi.org/10.1162/0899766053630378.

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Self-organizing feature maps such as extended Kohonen maps (EKMs) have been very successful at learning sensorimotor control for mobile robot tasks. This letter presents a new ensemble approach, cooperative EKMs with indirect mapping, to achieve complex robot motion. An indirect-mapping EKM self-organizes to map from the sensory input space to the motor control space indirectly via a control parameter space. Quantitative evaluation reveals that indirect mapping can provide finer, smoother, and more efficient motion control than does direct mapping by operating in a continuous, rather than disc
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30

OU, CHUNHUA, and R. WONG. "THE RIEMANN–HILBERT APPROACH TO GLOBAL ASYMPTOTICS OF DISCRETE ORTHOGONAL POLYNOMIALS WITH INFINITE NODES." Analysis and Applications 08, no. 03 (2010): 247–86. http://dx.doi.org/10.1142/s0219530510001606.

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In this paper, we develop the Riemann–Hilbert approach to study the global asymptotics of discrete orthogonal polynomials with infinite nodes. We illustrate our method by concentrating on the Charlier polynomials [Formula: see text]. We first construct a Riemann–Hilbert problem Y associated with these polynomials and then establish some technical results to transform Y into a continuous Riemann–Hilbert problem so that the steepest descent method of Deift and Zhou ([8]) can be applied. Finally, we produce three Airy-type asymptotic expansions for [Formula: see text] in three different but overl
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31

Yas, M. H., M. Shakeri, and N. Khaksar. "Stacking sequence optimization of a composite cylindrical shell for vibrations by hybrid continuous optimization." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 222, no. 12 (2008): 2385–94. http://dx.doi.org/10.1243/09544062jmes900.

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In this paper, stacking sequence optimization of a laminated cylindrical shell for obtaining maximum natural frequency has been studied. The anisotropic cylindrical shell has finite length with simply supported conditions at both ends. Three-dimensional elasticity approaches are used to obtain the objective function. To perform optimization, a hybrid method, combining Tabu search (TS) and simplex search (SS) is used. TS allows the solution space to be widely covered. To stimulate the search towards solutions far from the current one, and to avoid the risk of being trapped into a local maximum,
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32

Bueno, Thiago P., Leliane N. De Barros, Denis D. Mauá, and Scott Sanner. "Deep Reactive Policies for Planning in Stochastic Nonlinear Domains." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 7530–37. http://dx.doi.org/10.1609/aaai.v33i01.33017530.

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Recent advances in applying deep learning to planning have shown that Deep Reactive Policies (DRPs) can be powerful for fast decision-making in complex environments. However, an important limitation of current DRP-based approaches is either the need of optimal planners to be used as ground truth in a supervised learning setting or the sample complexity of high-variance policy gradient estimators, which are particularly troublesome in continuous state-action domains. In order to overcome those limitations, we introduce a framework for training DRPs in continuous stochastic spaces via gradient-b
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33

Barclay, David R., Fernando Simonet, and Michael J. Buckingham. "Deep Sound: A Free-Falling Sensor Platform for Depth-Profiling Ambient Noise in the Deep Ocean." Marine Technology Society Journal 43, no. 5 (2009): 144–50. http://dx.doi.org/10.4031/mtsj.43.5.19.

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AbstractAmbient noise in the deep ocean is traditionally monitored using bottom-mounted or surface-suspended hydrophone arrays. An alternative approach has recently been developed in which an autonomous, untethered instrument platform free falls under gravity from the surface to a preassigned depth, where a drop weight is released, allowing the system to return to the surface under buoyancy. Referred to as Deep Sound, the instrument records acoustic, environmental, and system data continuously during the descent and ascent. The central component of Deep Sound is a Vitrovex glass sphere, formed
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34

Bengio, Y., and P. Frasconi. "Diffusion of Context and Credit Information in Markovian Models." Journal of Artificial Intelligence Research 3 (October 1, 1995): 249–70. http://dx.doi.org/10.1613/jair.233.

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This paper studies the problem of ergodicity of transition probability matrices in Markovian models, such as hidden Markov models (HMMs), and how it makes very difficult the task of learning to represent long-term context for sequential data. This phenomenon hurts the forward propagation of long-term context information, as well as learning a hidden state representation to represent long-term context, which depends on propagating credit information backwards in time. Using results from Markov chain theory, we show that this problem of diffusion of context and credit is reduced when the transit
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35

Yang, Zhijun, Dong Li, Xiaoheng Tan, Hongqing Liu, Yuchuan Liu, and Guisheng Liao. "ISAR Imaging for Maneuvering Targets with Complex Motion Based on Generalized Radon-Fourier Transform and Gradient-Based Descent under Low SNR." Remote Sensing 13, no. 11 (2021): 2198. http://dx.doi.org/10.3390/rs13112198.

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The existing inverse synthetic aperture radar (ISAR) imaging algorithms for ship targets with complex three-dimensional (3D) rotational motion are not applicable because of continuous change of image projection plane (IPP), especially under low signal-to-noise-ratio (SNR) condition. To overcome this obstacle, an efficient approach based on generalized Radon Fourier transform (GRFT) and gradient-based descent optimal is proposed in this paper. First, the geometry and signal model for nonstationary IPP of ship targets with complex 3-D rotational motion is established. Furthermore, the two-dimens
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36

Schroeder, Kenneth R., and Dennis P. Stimart. "Postharvest Longevity of Antirrhinum majus L. Cut Flowers as Influenced by Backcrosses to a Short-lived Recurrent Parent and Harvest Time." HortScience 31, no. 4 (1996): 570d—570. http://dx.doi.org/10.21273/hortsci.31.4.570d.

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An inbred backcrossing approach was taken to transfer long postharvest keeping time of cut flowers from a white inbred line of Antirrhinum majus L. into a yellow short-lived inbred line. Three backcrosses to the short-lived recurrent parent were done followed by three generations of selfing by single-seed descent. Plants from 56 accessions of BC1S3 through BC3S3 were grown twice (June and August 1995) in a greenhouse and flower stems harvested for postharvest longevity evaluation. Postharvest evaluation was done in deionized water under continuous fluorescent light. Longevity was determined as
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37

Voytovich, N. I., A. V. Ershov, B. V. Zhdanov, and E. M. Iungaitis. "BEHAVIOR OF THE INFORMATION PARAMETER OF THE GLIDE PATH BEACON OF THE LANDING SYSTEM IN A WIDE SECTOR OF ANGLES." Journal of the Ural Federal District. Information security 20, no. 3 (2020): 5–19. http://dx.doi.org/10.14529/secur200301.

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The article is devoted to the problem of information protection generated by a glide path beacon of the PRMG format for providing instrumental approach of aircraft for landing. To en-sure a safe approach, the radio beacon landing system forms a descent trajectory in space - a glide path. A developed multilevel control system is designed to ensure the integrity of the land-ing system by continuous monitoring of the position of a given glide path and the steepness of the indicated glide path parameter. However, during flight tests of a glide path beacon (GPB), a false glide path is sometimes det
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38

Abouheaf, Mohammed, Wail Gueaieb, and Frank Lewis. "Model-Free Gradient-Based Adaptive Learning Controller for an Unmanned Flexible Wing Aircraft." Robotics 7, no. 4 (2018): 66. http://dx.doi.org/10.3390/robotics7040066.

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Classical gradient-based approximate dynamic programming approaches provide reliable and fast solution platforms for various optimal control problems. However, their dependence on accurate modeling approaches poses a major concern, where the efficiency of the proposed solutions are severely degraded in the case of uncertain dynamical environments. Herein, a novel online adaptive learning framework is introduced to solve action-dependent dual heuristic dynamic programming problems. The approach does not depend on the dynamical models of the considered systems. Instead, it employs optimization p
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39

LI, CHAO, QIYUE WANG, WENHUA JIAO, MICHAEL JOHNSON, and YU MING ZHANG. "Deep Learning-Based Detection of Penetration from Weld Pool Reflection Images." Welding Journal 99, no. 9 (2020): 239s—245s. http://dx.doi.org/10.29391/2020.99.022.

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An innovative method was proposed to determine weld joint penetration using machine learning techniques. In our approach, the dot-structured laser images reflected from an oscillating weld pool surface were captured. Experienced welders typically evaluate the weld penetration status based on this reflected laser pattern. To overcome the challenges in identifying features and accurately processing the images using conventional machine vision algorithms, we proposed the use the raw images without any processing as the input to a convolutional neural network (CNN). The labels needed to train the
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40

Rotunno, Richard, Paul M. Markowski, and George H. Bryan. "“Near Ground” Vertical Vorticity in Supercell Thunderstorm Models." Journal of the Atmospheric Sciences 74, no. 6 (2017): 1757–66. http://dx.doi.org/10.1175/jas-d-16-0288.1.

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Abstract Numerical models of supercell thunderstorms produce near-ground rotation about a vertical axis (i.e., vertical vorticity) after the development of rain-cooled outflows and downdrafts. The physical processes involved in the production of near-ground vertical vorticity in simulated supercells have been a subject of discussion in the literature for over 30 years. One cause for this lengthy discussion is the difficulty in applying the principles of inviscid vorticity dynamics in a continuous fluid to the viscous evolution of discrete Eulerian simulations. The present paper reports on a La
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41

Wei, Pengzhi, Yanqiu Li, Tie Li, Naiyuan Sheng, Enze Li, and Yiyu Sun. "Multi-Objective Defocus Robust Source and Mask Optimization Using Sensitive Penalty." Applied Sciences 9, no. 10 (2019): 2151. http://dx.doi.org/10.3390/app9102151.

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The continuous decrease in the size of lithographic technology nodes has led to the development of source and mask optimization (SMO) and also to the control of defocus becoming stringent in the actual lithography process. Due to multi-factor impact, defocusing is always changeable and uncertain in the real exposure process. But conventional SMO assumes the lithography system is ideal, which only compensates the optical proximity effect (OPE) in the best focus plane. Therefore, to solve the inverse lithography problem with more uniformity of pattern in different defocus variations, we proposed
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42

Ahmed, Ehtasham, Muhammad Usman, Sibghatallah Anwar, Hafiz Muhammad Ahmad, Muhammad Waqar Nasir, and Muhammad Ali Ijaz Malik. "Application of ANN to predict performance and emissions of SI engine using gasoline-methanol blends." Science Progress 104, no. 1 (2021): 003685042110023. http://dx.doi.org/10.1177/00368504211002345.

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The deployment of methanol like alternative fuels in engines is a necessity of the present time to comprehend power requirements and environmental pollution. Furthermore, a comprehensive prediction of the impact of the methanol-gasoline blend on engine characteristics is also required in the era of artificial intelligence. The current study analyzes and compares the experimental and Artificial Neural Network (ANN) aided performance and emissions of four-stroke, single-cylinder SI engine using methanol-gasoline blends of 0%, 3%, 6%, 9%, 12%, 15%, and 18%. The experiments were performed at engin
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Nandi, Arijit, Fatos Xhafa, Laia Subirats, and Santi Fort. "Real-Time Emotion Classification Using EEG Data Stream in E-Learning Contexts." Sensors 21, no. 5 (2021): 1589. http://dx.doi.org/10.3390/s21051589.

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In face-to-face and online learning, emotions and emotional intelligence have an influence and play an essential role. Learners’ emotions are crucial for e-learning system because they promote or restrain the learning. Many researchers have investigated the impacts of emotions in enhancing and maximizing e-learning outcomes. Several machine learning and deep learning approaches have also been proposed to achieve this goal. All such approaches are suitable for an offline mode, where the data for emotion classification are stored and can be accessed infinitely. However, these offline mode approa
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Sapkota, Yadav, Qi Liu, Kyla C. Shelton, et al. "Genome-wide association study using whole-genome sequencing to identify a novel locus associated with cardiomyopathy risk in adult survivors of childhood cancer: Utility of a two-stage analytic approach." Journal of Clinical Oncology 37, no. 15_suppl (2019): 1516. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.1516.

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1516 Background: Survivors of childhood cancer are at increased risk of treatment-related cardiomyopathy, found to be modified by genetic factors. To further investigate genetic risks of cardiomyopathy, we utilized whole-genome sequencing (WGS) in a clinically phenotyped cohort of long-term survivors of pediatric cancer. Methods: Utilizing a novel 2-stage analytic approach, we first performed association analysis for ejection fraction (EF) using WGS data in European-descent childhood cancer survivors from the St. Jude Lifetime Cohort (SJLIFE). EF was analyzed as a continuous variable to increa
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Weiermann, Andreas. "How is it that infinitary methods can be applied to finitary mathematics? Gödel's T: a case study." Journal of Symbolic Logic 63, no. 4 (1998): 1348–70. http://dx.doi.org/10.2307/2586654.

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AbstractInspired by Pohlers' local predicativity approach to Pure Proof Theory and Howard's ordinal analysis of bar recursion of type zero we present a short, technically smooth and constructive strong normalization proof for Gödel's system T of primitive recursive functionals of finite types by constructing an ε0-recursive function []0: T → ω so that a reduces to b implies [a]0 > [b]0. The construction of [ ]0 is based on a careful analysis of the Howard-Schütte treatment of Gödel's T and utilizes the collapsing function ψ: ε0 → ω which has been developed by the author for a local predicat
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Sharif, Bilal Muhammad, Concetta Burgarella, Fabien Cormier, et al. "Genome-wide genotyping elucidates the geographical diversification and dispersal of the polyploid and clonally propagated yam (Dioscorea alata)." Annals of Botany 126, no. 6 (2020): 1029–38. http://dx.doi.org/10.1093/aob/mcaa122.

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Abstract Background and Aims Inferring the diffusion history of many human-dispersed species is still not straightforward due to unresolved past human migrations. The centre of diversification and routes of migration of the autopolyploid and clonally propagated greater yam, Dioscorea alata, one of the oldest edible tubers, remain unclear. Here, we address yam demographic and dispersal history using a worldwide sample. Methods We characterized genome-wide patterns of genetic variation using genotyping by sequencing 643 greater yam accessions spanning four continents. First, we disentangled the
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Churchill, Mackenzie E., Janet K. Smylie, Sara H. Wolfe, Cheryllee Bourgeois, Helle Moeller, and Michelle Firestone. "Conceptualising cultural safety at an Indigenous-focused midwifery practice in Toronto, Canada: qualitative interviews with Indigenous and non-Indigenous clients." BMJ Open 10, no. 9 (2020): e038168. http://dx.doi.org/10.1136/bmjopen-2020-038168.

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ObjectiveCultural safety is an Indigenous concept that can improve how healthcare services are delivered to both Indigenous and non-Indigenous peoples in Canada. This study explored how Indigenous and non-Indigenous clients at an urban, Indigenous-focused midwifery practice in Toronto, Canada (Seventh Generation Midwives Toronto, SGMT) conceptualised and experienced culturally safe care.Design and settingInterviews were conducted with former clients of SGMT as a part of a larger evaluation of the practice. Participants were purposefully recruited. Interviews were transcribed and analysed thema
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DeMott, P. J., A. J. Prenni, G. R. McMeeking, et al. "Integrating laboratory and field data to quantify the immersion freezing ice nucleation activity of mineral dust particles." Atmospheric Chemistry and Physics Discussions 14, no. 11 (2014): 17359–400. http://dx.doi.org/10.5194/acpd-14-17359-2014.

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Abstract. Data from both laboratory studies and atmospheric measurements are used to develop a simple parametric description for the immersion freezing activity of natural mineral dust particles. Measurements made with the Colorado State University (CSU) continuous flow diffusion chamber (CFDC) when processing mineral dust aerosols at a nominal 105% relative humidity with respect to water (RHw) are taken to approximate the immersion freezing nucleation activity of particles. Ice active frozen fractions vs. temperature for dusts representative of Saharan and Asian desert sources were consistent
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DeMott, P. J., A. J. Prenni, G. R. McMeeking, et al. "Integrating laboratory and field data to quantify the immersion freezing ice nucleation activity of mineral dust particles." Atmospheric Chemistry and Physics 15, no. 1 (2015): 393–409. http://dx.doi.org/10.5194/acp-15-393-2015.

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Abstract. Data from both laboratory studies and atmospheric measurements are used to develop an empirical parameterization for the immersion freezing activity of natural mineral dust particles. Measurements made with the Colorado State University (CSU) continuous flow diffusion chamber (CFDC) when processing mineral dust aerosols at a nominal 105% relative humidity with respect to water (RHw) are taken as a measure of the immersion freezing nucleation activity of particles. Ice active frozen fractions vs. temperature for dusts representative of Saharan and Asian desert sources were consistent
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Pandey, Jyotsana. "A Gradient Descent Approach for Maximum Power Point Tracking in Solar PV Systems Networks." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 1739–45. http://dx.doi.org/10.22214/ijraset.2021.35357.

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— The intermittent nature of solar irradiation makes it necessary to continuously track the irradiation and change the orientation of the solar panels so as to maximize the PV output. Since the nature of solar irradiation data is both extremely random and complex, hence classical statistical techniques render inaccuracies in the predicted values. Therefore, machine learning based approaches are needed for the estimation or forecasting of the PV output. The proposed approach employs the gradient descent-based approach for attaining the condition of maximum power point tracking (MPPT). The perfo
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