Academic literature on the topic 'Prediction of military conflict'

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Journal articles on the topic "Prediction of military conflict"

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Dnov, K. V., A. I. Kolchev, D. А. Seregin, V. K. Mikhalsky, V. D. Bigunets, and A. N. Yatmanov. "Prediction of Suicidal Behavior in Students at Military Academies." Doctor.Ru 19, no. 9 (2020): 65–70. http://dx.doi.org/10.31550/1727-2378-2020-19-9-65-70.

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Study Objective: To develop a mathematical model for predicting suicide risk in students at military academies. Study Design: This was a comparative prospective study. Materials and Methods: One hundred and thirty-three students at the Naval Polytechnic Institute, a subdivision of the Naval Academy named for the Admiral of the Fleet of the Soviet Union N.G. Kuznetsov, participated in the study. Assessment of the participants was done with the following tools: “The Ratio of Value and Accessibility in Various Areas of Life,” “Self-reflection Test,” “Semantic Differential,” “Military Occupational
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Utkin, I. A., M. D. Mandritza, and D. S. Nagorny. "Predicting Social Tensions in Individual Countries Based on Military, Political, Economic, and Demographic Factors Using Machine Learning Methods." LETI Transactions on Electrical Engineering & Computer Science 16, no. 9 (2023): 49–59. http://dx.doi.org/10.32603/2071-8985-2023-16-9-49-59.

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The purpose of the work is to increase the effectiveness of prediction using the analysis of military, political, economic, and demographic factors, as well as the preprocessing of selected predictors. Models for predicting social tensions in individual countries based on machine learning methods are presented. The results include machine learning models that predict internal armed conflict as the highest form of social tension, with the accuracy of calculated metrics provided.
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Goldfarb, Avi, and Jon R. Lindsay. "Prediction and Judgment: Why Artificial Intelligence Increases the Importance of Humans in War." International Security 46, no. 3 (2022): 7–50. http://dx.doi.org/10.1162/isec_a_00425.

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Abstract Recent scholarship on artificial intelligence (AI) and international security focuses on the political and ethical consequences of replacing human warriors with machines. Yet AI is not a simple substitute for human decision-making. The advances in commercial machine learning that are reducing the costs of statistical prediction are simultaneously increasing the value of data (which enable prediction) and judgment (which determines why prediction matters). But these key complements—quality data and clear judgment—may not be present, or present to the same degree, in the uncertain and c
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Suntsova, Olesia. "Econometric forecasting of academic management in the face of uncertainty regarding hostilities." Financial and credit systems: prospects for development 4, no. 11 (2023): 41–47. http://dx.doi.org/10.26565/2786-4995-2023-4-05.

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This article addresses the problem of interrelations between economic factors and military conflicts, examining the role of econometric forecasting in the context of academic management during periods of uncertainty surrounding hostilities. It delves into the two principal theories of classical macroeconomics – neutrality and dichotomy – and explores their applicability to the complex interplay between economic forces and military dynamics. In doing so, it challenges the conventional binary view of conflicts as either war or peace, emphasizing the nuanced gradations that emerge over time.&#x0D
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ROMAN, Daniel. "Scenario Development in Planning Military Actions to Prevent a Crisis Situation." Romanian Military Thinking 2023, no. 1 (2023): 108–27. http://dx.doi.org/10.55535/rmt.2023.1.6.

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The Russian-Ukrainian military conflict is the most unexpected event having a major societal impact, not only on the conflicting parties, but also on the entire international community. The irreparable damage to critical infrastructures, the loss of human life and the constantly increasing considerable material damage are just three indicators that signal possible future crisis situations. The question that is justifiably raised is “Could this military conflict have been prevented?” Implicitly, another series of questions arises, such as “Can future crisis situations generated by this military
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ROMAN, Daniel. "Elaborarea scenariilor în planificarea acțiunilor militare pentru prevenirea unei situații de criză." Gândirea Militară Românească 2023, no. 1 (2023): 126–45. http://dx.doi.org/10.55535/gmr.2023.1.06.

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The Russian-Ukrainian military conflict is the most unexpected event having a major societal impact, not only on the conflicting parties, but also on the entire international community. The irreparable damage to critical infrastructures, the loss of human life and the constantly increasing considerable material damage are just three indicators that signal possible future crisis situations. The question that is justifiably raised is “Could this military conflict have been prevented?” Implicitly, another series of questions arises, such as “Can future crisis situations generated by this military
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Lutsik, Julia, Serhii Korotin, and Olexandr Kuchmeyev. "Prediction of possible scenarios for the development of the Ukrainian economy in the context of a “hybrid” war the Russian Federation." Journal of Scientific Papers "Social development and Security" 10, no. 1 (2020): 156–70. http://dx.doi.org/10.33445/sds.2020.10.1.16.

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In the article identifies that in modern military conflicts have emphasis is shifting towards a comprehensive application of political, economic, informational and other non-military measures.
 It was noted that for achieve the objectives in the “hybrid” war – the economic sphere is an important operating space and a key non-military mechanism for the preparation and realization of aggression. It was found that for maximum attenuation in the “non-contact” economic potential enemy state, the use of economic instruments in combination with other non-military levers can significantly minimiz
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Simons, Greg. "Hard and Soft Power Approaches to Armed Conflicts: The United States in Iraq and Russia in Syria." Russia in Global Affairs 19, no. 2 (2021): 86–110. http://dx.doi.org/10.31278/1810-6374-2021-19-2-86-110.

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Armed conflicts are generally associated with the use of hard power for coercing and forcing an opponent to do something against its will in a situation where war is an extension of politics. However, there are many scholarly observations about the important role of soft power in armed conflicts, the interaction between hard and soft power, and the effects on one another within the framework of an armed conflict. This paper explores two specific armed conflicts, the 2003 U.S.-led military intervention in Iraq and the 2015 Russian intervention in Syria. Various aspects of hard and soft power ap
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Tanim, Sharia Arfin, Mursalin Khan, Fariya Sultana Prity, Kazi Tanvir, and Dr Valliappan Raju. "An in-Depth Analysis of Military Casualties: Predicting Russian Losses in the Russia-Ukraine Conflict." Oct-Nov 2023, no. 36 (November 24, 2023): 13–33. http://dx.doi.org/10.55529/jpps.36.13.33.

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This research on the Russia-Ukraine conflict employs sophisticated data science methods and time series forecasting techniques to analyze Russian military casualties within a specific timeframe. The study aims to unravel the intricate dynamics of conflict by scrutinizing complex patterns and trends in the available data. The research encompasses a thorough examination of casualties, including soldiers, equipment, and vehicles, with the incorporation of key performance metrics like accuracy, MAE, MSE, RMSE, and R2. These metrics provide a quantitative assessment of forecasting models, enhancing
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Čábelková, Inna, Luboš Smutka, Svitlana Rotterova, Olesya Zhytna, Vít Kluger, and David Mareš. "The Sustainability of International Trade: The Impact of Ongoing Military Conflicts, Infrastructure, Common Language, and Economic Wellbeing in Post-Soviet Region." Sustainability 14, no. 17 (2022): 10840. http://dx.doi.org/10.3390/su141710840.

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The sustainability of international trade is subject to immense pressure. Apart from obstructed logistics, disruption of production chains and changes in demand, the sustainability of international trade is heavily affected by the sanctions caused by the Russia–Ukraine conflict. This paper studies the factors predicting sustainable international trade in the post-Soviet region. We hypothesize that ongoing conflicts, infrastructure, language integration, geographical proximity, common border, and economic wellbeing significantly impact international trade. Methodologically we rely on linear and
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Dissertations / Theses on the topic "Prediction of military conflict"

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Сопілков, Максим Романович. "Система прогнозування виникнення збройних конфліктів за допомогою ймовірнісно-статистичних методів". Master's thesis, Київ, 2018. https://ela.kpi.ua/handle/123456789/23902.

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Магістерська дисертація: 111 с., 19 рис., 30 табл., 2 додатки, 27 джерел. Об’єкт дослідження – прогнозування сучасних військових конфліктів за допомогою імовірнісно-статистичних методів. Мета роботи – розробка та дослідження інтелектуальної системи прогнозування потенціального виникнення військового конфлікту у країнах світу , що дає можливість підготуватися до такої ситуації і, в деяких випадках, попередити її. В роботі розглянуто і проаналізовано прогнозування виникнення сучасних військових (збройних) конфліктів, проаналізовані методи та алгоритми побудови байєсівських та нейронних мереж
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Campbell, Benjamin W. "Supervised and Unsupervised Machine Learning Strategies for Modeling Military Alliances." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1558024695617708.

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Alptekin, Aynur. "Military expenditure, institutions and conflict." Thesis, University of Surrey, 2008. http://epubs.surrey.ac.uk/904/.

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The aim of the thesis is to examine and estimate the effects of military expenditure, institutions and conflict on economic development. The military expenditure and economic growth nexus is re-analysed in the context of threat and security dimensions. In particular the proposed empirical model is a non-linear one that is characterised by the external and internal threat levels. The findings are that when the internal and external threat levels are below threshold values, a rise in military expenditure results in a fall in growth. Conversely, when the external and internal threat levels are hi
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Cicek, Edvin. "Framing the public opinion on military conflict." Thesis, Försvarshögskolan, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:fhs:diva-10140.

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In many cases, an effective method used by political elites to influence public opinion is throughframing strategies. The use of frames by political elites has the power to change the opinion of agreat mass of people. On October 9, 2019, Turkey launched the military operation Peace Spring.Despite being criticized internationally, the Turkish president managed through framing of theoperation, gaining public approval in its domestic sphere. The purpose of this article is to analysehow president Recep Tayyip Erdoğan frames Operation Peace Spring through Twitter as primarysource. The results show
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Rodt, Annemarie Peen. "Success? : ESDP military conflict management operations : 2003-2009." Thesis, University of Nottingham, 2009. http://eprints.nottingham.ac.uk/11431/.

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From 2003 to 2009, the EU launched five military conflict management operations within the framework of the European Security and Defence Policy. This thesis examines their success. To this end, the thesis develops a definition and a set of criteria for success. It applies this theoretical framework in an empirical case study of success in the five EU operations, which were undertaken in Macedonia, Bosnia and Herzegovina, the Democratic Republic of Congo, Chad and the Central African Republic. Having established the level and nature of their success, the thesis goes on to examine the condition
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Herath, Ihalagedera Herath Mudiyanselage Nishantha Nandaji. "Role of Military in Post-Conflict Sri Lanka." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/6812.

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Sri Lanka has suffered a violent conflict between the government of Sri Lanka (GoSL) and the Liberation Tigers of Tamil Eelam (LTTE) for nearly three decades. By the time LTTE was crushed in 2009, over 80,000 had been killed, 11,656 Tamil Tigers were either arrested or surrendered, and 294,000 people had been internally displaced during the final phase of the conflict. Furthermore, almost all the infrastructure in formerly terrorist-held areas was damaged or destroyed. The GoSL recognized its obligation to provide humanitarian relief; essential services, rehabilitation, and development support
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Tian, Nan. "The economics of military spending, conflict and growth." Doctoral thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/16720.

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Includes bibliographical references<br>This dissertation is a collection of studies on the economics of peace and security. Chapter one introduces the roles military spending and conic play in affecting economic growth, while also considering the causes of civil conflict. Chapter two investigates the relationship between military expenditure and economic growth, considering group heterogeneity and non-linearity. Using an exogenous growth model and dynamic panel approach, the results suggest military burden to have a negative effect on growth. Breaking the overall panel down into various sub-sa
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Šetina, Martin. "Risk Analysis of Sino-American Military Conflict: The Trends in China-US Military Relationship." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193920.

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The ascent of China to a global power status has created a new wave of theoretical discourse on what this means for the future of international relations. The general consensus on a unipolar order of international relations is slowly giving way to discourse. The time of polarity shift in the system is associated with a likely conflict between the descending hegemon and the ascending power (Snyder 2002; Mearsheimer 2010). This theoretical background suggest that in the future, we might witness a military conflict between the US and China. On the other side of the spectrum is a more optimistic v
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Viktorin, Mattias. "Exercising Peace : Conflict Preventionism, Neoliberalism, and the New Military." Doctoral thesis, Stockholms universitet, Socialantropologiska institutionen, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-8141.

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This study takes the changing role of the military as a starting point for exploring a set of broader ongoing processes at the intersection of security and humanitarianism. The focus is on one particular assemblage, described here as conflict preventionism. This notion brings together the transformation of the military, the proliferation of civil-military cooperation, and the increasing interest in managing and preventing violent conflicts within a single framework. As such, conflict preventionism helps render visible how various actors, concepts, and organizational techniques converge in emer
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Erturk, Sait. "Reintegration of the Iraqi military in post-conflict era." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Mar%5FErturk.pdf.

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Thesis (M.A. in National Security Affairs)--Naval Postgraduate School, March 2005.<br>Thesis Advisor(s): Vali Nasr, Karen Guttieri. Includes bibliographical references (p. 125-134) Also available online.
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Books on the topic "Prediction of military conflict"

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L, Sullivan Patricia. Who wins?: Predicting strategic success and failure in armed conflict. Oxford University Press, 2012.

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Thackrah, John Richard. Companion to military conflict. Routledge, 2008.

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Dridze, T. M. Sot︠s︡ialʹno obosnovannoe gradoustroĭstvo v rezhime prognoznogo proektirovanii︠a︡: Ot sot︠s︡ialʹnoĭ diagnostiki k profilaktike konfliktnykh situat︠s︡iĭ i konstruktivnomu dialogu zainteresovannykh storon. Institut munit︠s︡ipalʹnogo upravlenii︠a︡, 2005.

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Rosemary, Durward, and Marsden Lee, eds. Religion, conflict, and military intervention. Ashgate Pub. Ltd., 2009.

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Carman, John. Archaeologies of conflict. Bloomsbury Academic, an imprint of Bloomsbury Publishing Plc, 2013.

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Jessup, John E. An encyclopedic dictionary of conflict and conflict resolution, 1945-1996. Greenwood Press, 1998.

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Vickers, Michael G. The military revolution and intrastate conflict. Center for Strategic and Budgetary Assessments, 1997.

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McCausland, Jeffrey D. The Gulf conflict: A military analysis. Brassey's for the International Institute for Strategic Studies, 1993.

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L, Hixson Walter, ed. Military aspects of the Vietnam conflict. Garland, 2000.

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L, Hixson Walter, ed. Military aspects of the Vietnam conflict. Garland Pub., 2000.

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Book chapters on the topic "Prediction of military conflict"

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Myers, Nicholas J. "Predictions of Future Conflict in Soviet and Russian Military Exercises, 1929–2021." In The Routledge Handbook of Soviet and Russian Military Studies. Routledge, 2025. https://doi.org/10.4324/9781003354635-34.

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Scott, Wilbur J., Karin Modesto De Angelis, and David R. Segal. "Spectrum of Conflict." In Military Sociology. Routledge, 2022. http://dx.doi.org/10.4324/9781003282549-9.

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Scott, Wilbur J., Karin Modesto De Angelis, and David R. Segal. "Spectrum of Conflict." In Military Sociology. Routledge, 2022. http://dx.doi.org/10.4324/9781003282549-10.

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Scott, Wilbur J., Karin Modesto De Angelis, and David R. Segal. "Spectrum of Conflict." In Military Sociology. Routledge, 2022. http://dx.doi.org/10.4324/9781003282549-8.

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Hough, Peter. "Military Ecocide." In International Conflict and Security Law. T.M.C. Asser Press, 2022. http://dx.doi.org/10.1007/978-94-6265-515-7_51.

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Black, Jeremy. "Conflict, 1590–1615." In Beyond the Military Revolution. Macmillan Education UK, 2011. http://dx.doi.org/10.1007/978-0-230-34415-0_3.

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Black, Jeremy. "Conflict, 1616–1650." In Beyond the Military Revolution. Macmillan Education UK, 2011. http://dx.doi.org/10.1007/978-0-230-34415-0_4.

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Black, Jeremy. "Conflict, 1650–1683." In Beyond the Military Revolution. Macmillan Education UK, 2011. http://dx.doi.org/10.1007/978-0-230-34415-0_5.

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Black, Jeremy. "Conflict, 1683–1707." In Beyond the Military Revolution. Macmillan Education UK, 2011. http://dx.doi.org/10.1007/978-0-230-34415-0_7.

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Tanase, Claudiu, and Andreea Urzica. "Global Military Conflict Simulator." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03214-1_36.

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Conference papers on the topic "Prediction of military conflict"

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Bilina, Michal, Iva Bilinová, Tibor Palasiewicz, Pavel Žižka, and Martin Grufík. "Developments in Establishment of Minefields by UAVs: A Response to Conflict in Ukraine." In 2025 International Conference on Military Technologies (ICMT). IEEE, 2025. https://doi.org/10.1109/icmt65201.2025.11061279.

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Liu, Shiyu, Dongfang Li, Guang Yang, Mingyue Su, and Wei Shen. "Research of Military Cyber Operation Forensic and Analysis in Russia-Ukraine Conflict." In 2024 IEEE 24th International Conference on Software Quality, Reliability, and Security Companion (QRS-C). IEEE, 2024. http://dx.doi.org/10.1109/qrs-c63300.2024.00064.

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Sultana, Abida, Fahim Bashar, Mayukh Roy Chowdhury, and Aloizio Pereira Da Silva. "A Software-Defined Radio based O-RAN Platform for xApp Conflict Detection and Mitigation." In MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM). IEEE, 2024. https://doi.org/10.1109/milcom61039.2024.10773739.

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Ashdown, Neil. "Unity or Coherence: Shaping Future Civil-Military Intelligence Collaboration in the Cyber Domain." In 2024 16th International Conference on Cyber Conflict: Over the Horizon (CyCon). IEEE, 2024. http://dx.doi.org/10.23919/cycon62501.2024.10685631.

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Roberts, Anastasia, and Adrian Venables. "Military Psychological Operations in the Digital Battlespace: A Practical Application of the Legal Framework." In 2024 16th International Conference on Cyber Conflict: Over the Horizon (CyCon). IEEE, 2024. http://dx.doi.org/10.23919/cycon62501.2024.10685605.

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Beninger, Max, Philippe Charland, Steven H. H. Ding, and Benjamin C. M. Fung. "ERS0: Enhancing Military Cybersecurity with AI-Driven SBOM for Firmware Vulnerability Detection and Asset Management." In 2024 16th International Conference on Cyber Conflict: Over the Horizon (CyCon). IEEE, 2024. http://dx.doi.org/10.23919/cycon62501.2024.10685598.

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Yu, Dexin, Yu Yang, Wanli Peng, and Xincheng Wu. "A Traffic Conflict Prediction Method in Expressway Weaving Areas Based on ATT-LSTM Trajectory Prediction." In 2024 5th International Conference on Artificial Intelligence and Electromechanical Automation (AIEA). IEEE, 2024. http://dx.doi.org/10.1109/aiea62095.2024.10692480.

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Ryu, Jaesung, Youngjoon Kwon, Sangho Yoon, and Kyungjae Lee. "Conflict Area Prediction for Boosting Search-Based Multi-Agent Pathfinding Algorithms." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10610843.

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Taylor-Sweet, Alistair, Adam Perrett, Stepan Romanov, Raja Ebsim, Gareth Evans, and Susan Astley. "Conflict avoidance in mammography: filtering datasets for breast cancer risk prediction." In Computer-Aided Diagnosis, edited by Susan M. Astley and Axel Wismüller. SPIE, 2025. https://doi.org/10.1117/12.3048964.

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Grote, Tatjana. "Reflections on the Afterlife: Which Rules Govern the Post-Occupation Retention and Use of Personal Data Collected by the Military?" In 2024 16th International Conference on Cyber Conflict: Over the Horizon (CyCon). IEEE, 2024. http://dx.doi.org/10.23919/cycon62501.2024.10685632.

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Reports on the topic "Prediction of military conflict"

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Thomas, Timothy M. Conflict Termination and Military Strategy. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada283406.

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Pingley, Randall L. Military/Media Relationship in Future Conflict. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada264942.

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Snyder, John B. Seeing Through the Conflict: Military-Media Relations. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada413584.

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Xavier, Francis V. Iran and Iraq: A Prediction for Future Conflict. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada397846.

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Semotiuk, Orest. RUSSIAN-UKRAINIAN MILITARY CONFLICT: TERMINOLOGICAL AND DISCURSIVE DIMENSIONS. Ivan Franko National University of Lviv, 2022. http://dx.doi.org/10.30970/vjo.2022.51.11399.

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The paper is devoted to terminological, typological and discursive dimension of concepts describing modern conflicts. Historical development of concept “war” is retraced including four generations of warfare. Difficulties in establishing a methodological framework for analyzing the media coverage of military conflicts are analyzed and an interdisciplinary approach to the media coverage of military conflicts is proposed. This enables the integration of different theories - international relations, conflict studies, political communication and journalism. Two dimensions of the Russian-Ukrainian
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Knowles, James F. Conflict Resolution among Senior Leaders within the U.S. Military. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ad1018819.

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Owens, Dallas. Stabilization and Post-Conflict Operations: The Role of the Military. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada430615.

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Friend, James W. Military Occupation and the Law of Armed Conflict: Discouraging Resistance. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada415475.

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Boltuc, Douglas A. Into the Eye of the Commander: Military Advisory During Conflict. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada547254.

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Thornton, William H. The Role of Military Working Dogs in Low Intensity Conflict. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada224049.

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