Academic literature on the topic 'Operation anaconda'

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Journal articles on the topic "Operation anaconda"

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Caruso, David. "Operation Anaconda." Oral History Review 39, no. 2 (July 1, 2012): 334–36. http://dx.doi.org/10.1093/ohr/ohs065.

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Midla, George S. "Lessons Learned: Operation Anaconda." Military Medicine 169, no. 10 (October 2004): 810–13. http://dx.doi.org/10.7205/milmed.169.10.810.

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HASTERT, PAUL. "Operation Anaconda: Perception Meets Reality in the Hills of Afghanistan." Studies in Conflict and Terrorism 28, no. 1 (January 15, 2005): 11–20. http://dx.doi.org/10.1080/10576100590524294.

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Czarnecki, Jonathan E. "Not a Good Day to Die: The Untold Story of Operation Anaconda (review)." Journal of Military History 69, no. 4 (2005): 1264–66. http://dx.doi.org/10.1353/jmh.2005.0216.

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Kelly, Michael A., Joseph M. Comberiate, Ethan S. Miller, and Larry J. Paxton. "Progress toward forecasting of space weather effects on UHF SATCOM after Operation Anaconda." Space Weather 12, no. 10 (October 2014): 601–11. http://dx.doi.org/10.1002/2014sw001081.

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Samylkina, N. N., and I. A. Kalinin. "Exploring the operation of a neural network using the example of handwritten digits recognition in an advanced informatics course using the python 3.8 programming language." Informatics in school, no. 10 (December 24, 2021): 21–29. http://dx.doi.org/10.32517/2221-1993-2021-20-10-19-27.

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The article discusses the possibility of including artificial intelligence topics in the informatics course at the level of secondary general education on the demonstration example of handwritten digits recognition using the Python 3.8 programming language and the TensorFlow package. A hands-on example of a classification problem using the classic MNIST (Modified National Institute of Standards and Technology) training example set is dealt with step-by-step.Most of the tools required for the work (language interpreter, basic libraries, and shell) are downloaded in the form of a single software distribution kit of Anaconda. The network is trained using different methods. When the model is trained, the optimization method, the loss function, and the metric for estimation are specified. Image processing by convolutional nets containing special layers, which "convolve" the image the way a bitmap filter does, is also demonstrated
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Echaiz Espinoza, German Alberto, Gabriel Pereira de Oliveira, Verivan Santos Lima, Diego Antonio de Moura Fonseca, Werbet Luiz Almeida da Silva, Carla Wilza Souza de Paula Maitelli, Elmer Rolando Llanos Villarreal, and Andrés Ortiz Salazar. "Thermal Profiles in Water Injection Wells: Reduction in the Systematic Error of Flow Measurements during the Transient Regime." Sensors 23, no. 23 (November 28, 2023): 9465. http://dx.doi.org/10.3390/s23239465.

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This article presents an analytical solution for calculating the flow rate in water injection wells based on the established thermal profile along the tubing. The intent is to minimize the intrinsic systematic error of classic quasi-static methodologies, which assume that all thermal transience on well completion has passed. When these techniques are applied during the initial hours of injection well operation, it can result in errors higher than 20%. To solve this limitation, the first law of thermodynamics was used to define a mathematical model and a thermal profile was established in the injection fluid, captured by using distributed temperature systems (DTSs) installed inside the tubing. The geothermal profile was also established naturally by a thermal source in the earth to determine the thermal gradient. A computational simulation of the injection well was developed to validate the mathematical solution. The simulation intended to generate the fluid’s thermal profile, for which data were not available for the desired time period. As a result, at the cost of greater complexity, the systematic error dropped to values below 1% in the first two hours of well operation, as seen throughout this document. The code was developed in Phyton, version 1.7.0., from Anaconda Navigator.
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Thomsen, Paul A. "Operation Anaconda: America's First Major Battle in Afghanistan. By Lester W. Grau and Dodge Billingsley. (Lawrence, KS: University Press of Kansas, 2012. Pp. 459. $39.95.)." Historian 75, no. 1 (March 1, 2013): 152–53. http://dx.doi.org/10.1111/hisn.12004_24.

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Marcos-Vidal, José Miguel, Rafael González, Cristina García, and Carlos Soria. "Out-of-operating room anesthesia: use of the AnaConDa vaporizer with anesthesia." Journal of Clinical Anesthesia 24, no. 4 (June 2012): 346–47. http://dx.doi.org/10.1016/j.jclinane.2011.05.008.

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Li, Yuxin, Yinggang Xie, and Xi Lu. "Multi-face recognition and dynamic tracking based on reinforcement learning algorithm." MATEC Web of Conferences 336 (2021): 06006. http://dx.doi.org/10.1051/matecconf/202133606006.

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Aiming at the problem that the current low accuracy rate of face detection and target tracking, a reinforcement learning algorithm is proposed, which integrates face detection technology and target tracking technology organically, adopts the face detection algorithm based on Multi-Task Convolutional Neural Network (MTCNN) and target tracking algorithm based on Kalman filtering, so as to realize face detection, multiplayer face recognition and dynamic tracking of personnel movement. In this paper, the configuration environment is Anaconda, the operating platform is PyCharm, the video-based face detection and dynamic capture and rapid identification system has been designed and developed. The system consists of two modules: face detection module and target tracking module. The optimized face detection and dynamic capture algorithm improved the detection success rate by about 11.5%, the face detection success rate by about 15.2%, the dynamic capture success rate increased by about 12.0%, and the optimized system has a wider practicality.
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Dissertations / Theses on the topic "Operation anaconda"

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Strid, Jim. "Sovjetiska blockeringsoperationer i modern kontext." Thesis, Swedish National Defence College, Swedish National Defence College, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:fhs:diva-818.

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1979 till 1989 pågick en sovjetisk militär insats i Afghanistan vars syfte var att bedriva upprorsbekämpning för att stödja den afghanska marionettregeringen. Efter 9/11 2001 blev Afghanistan återigen ett insatsområde för en amerikanskledd koalition vars syfte var att störta talibanerna och sätta en ny regering till makten. Som en följd av detta genomfördes flera markoperationer för att rensa upp de sista talibanska fästena. En av dessa operationer var Operation Anaconda. Men fanns och finns det fortfarande erfarenheter som från Sovjets insatser som kunde haft en effekt på denna operation samt liknande operationer? Syftet med denna uppsats är att utgå från de sovjetiska operationer Afghanistan 1979-1989 och påvisa framgångsfaktorer som kan användas på markoperationer inom ramen för upprorsbekämpning. Uppsatsen slutsatser pekar på att det finns framgångsfaktorer att dra av de sovjetiska erfarenheterna i områdena: Indirekt eld, den afghanska terrängen och lokalt understödjande förband, ledning, operationssäkerhet och principen för överraskning.


Between 1979 and 1989 there was an on going soviet military intervention which purpose was to battle insurgents in favour of the, by the Soviets, supported puppet government. After 9/11 2001 Afghanistan was once again a stage, bur for an American led coalition which purpose was to over throw the Taliban regime and install a new government. Because of this, several ground operations were conducted to clear out the last of the Taliban remnants. One of these operations was Operation Anaconda. But were there any experiences from the soviets operations that could have an effect on this and other operations? The purpose of this essay is to start from Soviet operations from 1979-1989 in Afghanistan and point out criteria’s of success that could be used on ground based operations within the context of counterinsurgency. The result of the essay points out that there is criteria’s of success to be found in the experiences from the Soviets operations in the fields of: Artillery, Afghan terrain and local supportive units, command and control, operational security and the principle of surprise.

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Vaattovaara, Filip. "Traditionell luftmaktsteori och våldsverkande luftoperationer i upprorsbekämpning." Thesis, Försvarshögskolan, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:fhs:diva-6840.

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This thesis examines whether traditional air power theory complements counterinsurgency air power theory in kinetic counterinsurgency operations. The reason being that there is some discrepancy in the theories of how air power can be used in counterinsurgency. Winning a revolutionary war requires a graduated spectrum of violence; whereas, traditionally air power is characterized as only using the kinetic, hard power, end of that spectrum. The purpose is to test Robert Pape’s air power theory of military coercion by denial, motivated by the theory’s agreement with current research of air power in counterinsurgency. This thesis is a comparative case study examining two, similar and successful counterinsurgency operations, Operation Anaconda and Operation Medusa. Findings show that denial is quite prominent when direct support of ground forces occurs; whereas operational and strategic interdiction indicate low or no occurrence. This study strengthens the theory’s applicatory power in a counterinsurgency context, and suggests it can complement current research on counterinsurgency air power in kinetic usage.

Uppsatsen skriven VT 2017 under Termin 4 Officersprogrammet 15-18 med inriktningmot flyg. Examen genomförs VT 2018.

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Searle, Deane. "Low Intensity Conflict: Contemporary Approaches and Strategic Thinking." The University of Waikato, 2007. http://hdl.handle.net/10289/2591.

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Low Intensity Conflict (LIC) is a significant feature of the contemporary world and it is a particular challenge to the armed forces of many states which are involved is such conflict, or are likely to become so. This thesis is not concerned with how such difficult conflict situations arise. Rather it is concerned with how, from the point of view of the state, they may be contained and ultimately brought to a satisfactory resolution. The work is thus concerned with the practicalities of ending LIC. More specifically, the purpose of this research is to establish a framework of doctrinal and military principles applicable to the prevention and resolution of LIC. The principles of this thesis are based in numerous historical examples of LIC and six in depth case studies. These distilled principles are analysed in two central chapters, and are then applied in two latter defence force chapters so as to ensure there practicality and resilience. Numerous defence academics and military practitioners have been consulted in the production of this thesis; their contribution has further reinforced the functionality of the principles examined in this research. The research illustrates the criticality of a holistic approach to LIC. The function of this approach is to guarantee the stability of the sovereign state, by unifying civil, police, intelligence and military services. The effectiveness of the military elements must also be ensured, as military force is central to the suppression of LIC. Consequently, the research makes strategic and operational prescriptions, so as to improve the capability of defence forces that are concerned with preventing or resolving LIC.
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Books on the topic "Operation anaconda"

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Grau, Lester W. Operation Anaconda: America's first major battle in Afghanistan. Lawrence, KS: University Press of Kansas, 2011.

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Naylor, Sean. Not a Good Day to Die. New York: Penguin Group USA, Inc., 2008.

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MacPherson, Malcolm. Roberts Ridge. New York: Random House Publishing Group, 2005.

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Humphrey, William A. Mining operations and engineering executive for Anaconda, Newmont, Homestake, 1950 to 1995. Berkeley, Calif: Regional Oral History Office, Bancroft Library, University of California, 1996.

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Binnendijk, Hans, Richard L. Kugler, and Michael Baranick. Operation Anaconda: Lessons for Joint Operations. CreateSpace Independent Publishing Platform, 2012.

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Fisher, Ray E. Operation Anaconda and Beyond. iUniverse, 2003.

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Fisher, Ray E. Operation Anaconda and Beyond. iUniverse, 2003.

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(Narrator), John Henry Cox, ed. Not A Good Day To Die: The Untold Story Of Operation Anaconda. Sound Library, 2005.

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Naylor, Sean. Not a Good Day to Die: The Untold Story of Operation Anaconda. Berkley Hardcover, 2005.

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Not A Good Day To Die: The Untold Story of Operation Anaconda. New York: Berkley Books, 2005.

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Reports on the topic "Operation anaconda"

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Kugler, Richard L., Michael Baranick, and Hans Binnendijk. Operation Anaconda. Lessons for Joint Operations. Fort Belvoir, VA: Defense Technical Information Center, March 2009. http://dx.doi.org/10.21236/ada496469.

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