The united stated drone strikes in Pakistan and violation of humanitarian laws by Imran, Muhammad, Nordin, Rohaida, Muhamad, Mohd Munzil, Idrees, Rao Qasim

“…Purpose - After the incident of 9/11, the use of unmanned combat aerial vehicle, also known as combat drone in armed conflicts among States, non-state actors, disruptive groups and organizations has increased and expanded.Combat drones are controlled by operators who depend on the information obtained from cameras and sensors which are the primary sources of information needed for purposes of launching any strikes. …”
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METHODOLOGY AND RESULTS OF THE MAIN TECHNICAL OF PARAMETERS OF THE MANEUVERABLE UNMANNED AERIAL VEHICLE JUSTIFICATION by M. A. Kiselev

“…The recent experience of creating an unmanned combat aerial vehicle indicates that the main problems do not concern the development of an unmanned fighter as an aerial vehicle. …”
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Autonomous maneuver decision-making method based on reinforcement learning and Monte Carlo tree search by Hongpeng Zhang, Huan Zhou, Yujie Wei, Changqiang Huang

“…Autonomous maneuver decision-making methods for air combat often rely on human knowledge, such as advantage functions, objective functions, or dense rewards in reinforcement learning, which limits the decision-making ability of unmanned combat aerial vehicle to the scope of human experience and result in slow progress in maneuver decision-making. …”
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Autonomous Maneuver Decision of UCAV Air Combat Based on Double Deep Q Network Algorithm and Stochastic Game Theory by Yuan Cao, Ying-Xin Kou, Zhan-Wu Li, An Xu

“…Aiming at the problem that unmanned combat aerial vehicle (UCAV) is difficult to quickly and accurately perceive situation information and make maneuvering decision autonomously in modern air combat, which is easily affected by complex factors, a maneuvering decision algorithm of UCAV combined with deep reinforcement learning and game theory is proposed in this paper. …”
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Numerical Evaluation of Aircraft Aerodynamic Static and Dynamic Stability Derivatives by a Mid-Fidelity Approach by Daniele Granata, Alberto Savino, Alex Zanotti

“…In this work, the mid-fidelity aerodynamic solver <i>DUST</i>, which is based on the novel vortex particle method (VPM), was used to perform simulations of the static and dynamic motion conditions of the Stability And Control CONfiguration (SACCON): an unmanned combat aerial vehicle geometry developed by NATO’s Research and Technology Organisation (RTO), which is used as a benchmark test case in the literature for the evaluation of aircraft stability derivatives. …”
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Experimental and Numerical Study on the Vortical Flow of MULDICON Wing Configuration by Ibrahim Madan, Jiun-Jih Miau, Shabudin Bin Mat

“…This paper highlights the results and comparison of the flow topology investigation above the unmanned combat aerial vehicle (UCAV) configuration, namely, multidisciplinary design configuration (MULDICON), with modified leading-edge profile at the apex region from a sharp to a blunt profile to reduce the complexity of the flow structure above the wing. …”
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Experimental and numerical study on the vortical flow of MULDICON wing configuration. by Madan, Ibrahim, Miau, Jiun-Jih, Mat, Shabudin

“…This paper highlights the results and comparison of the flow topology investigation above the unmanned combat aerial vehicle (UCAV) configuration, namely, multidisciplinary design configuration (MULDICON), with modified leading-edge profile at the apex region from a sharp to a blunt profile to reduce the complexity of the flow structure above the wing. …”
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A Three-Dimensional UCAV Path Planning Approach Based on Immune Plasma Algorithm by Selcuk Aslan, Daniel Rohacs, Melih Yıldız, Utku Kale

“…Abstract Path planning of an unmanned aerial vehicle (UAV) or its variant supported with weapon systems, also called unmanned combat aerial vehicle (UCAV), is one of the most crucial steps for the autonomous flight and requires compelling decisions being made by considering the existence of the enemy defence, obstacles, and battery or fuel capacity of the vehicle optimally before starting the flight. …”
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A study of urban UAV in a simulation environment by Aryo Wiman Nur Ibrahim

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Dynamic Coalition Task Allocation of Heterogeneous Multiple Agents

“…Finally, the feasibility and applicability of the present algorithm and dynamic planning strategies are validated in the scenario of a search and attack mission executed by multiple unmanned search aerial vehicles(USAVs) and unmanned combat aerial vehicles (UCAVs).…”
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Iran’s Drone Supply to Russia and Changing Dynamics of the Ukraine War by Mohammad Eslami

“…Relying on Unmanned Combat Aerial Vehicles (UCAV), Ukraine managed to repel many attacks and even destroy Russian armaments in the initial stages of the war. …”
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Aerodynamic Performance of Lambda Wing-UCAV at Different Back-sweep Angles by S. Syam Narayanan, Y. Gangurde, P. Rajalakshmi

“…Unmanned Combat Aerial Vehicles (UCAVs) are designed to be lightweight and compact, which can impact their overall lift and aerodynamic capabilities. …”
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Essential approaches to combat the use of drones. Specific elements of the armed conflict in Ukraine by Gheorghe MINCULETE, Veronica PĂSTAE

“… Although used many years ago, by multinational allied forces acting in coalition in Iraq and Afghanistan, combat drones known as “unmanned aircraft systems” (UAS), “unmanned aerial vehicles” (UAV)”, “unmanned combat aerial vehicles” (UCAV) or “remotely piloted vehicles” (RPV) represent a formidable weapon both for NATO states and for the forces fighting in Ukraine. …”
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Combining an Extended SMAA-2 Method with Integer Linear Programming for Task Assignment of Multi-UCAV under Multiple Uncertainties by Jun Wang, Pengcheng Luo, Xinwu Hu, Xiaonan Zhang

“…Uncertainty should be taken into account when establishing multiobjective task assignment models for multiple unmanned combat aerial vehicles (UCAVs) due to errors in the target information acquired by sensors, implicit preferences of the commander for operational objectives, and partially known weights of sensors. …”
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Pursuing Benefits or Avoiding Threats: Realizing Regional Multi-Target Electronic Reconnaissance With Deep Reinforcement Learning by Yongle Xu, Ming Zhang, Boyin Jin

“…Unmanned combat aerial vehicles (UCAVs) are preferred for regional electronic reconnaissance due to their versatility and stealth. …”
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UAV mission planning under uncertainty by Sakamoto, Philemon

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