Path planning for unmanned aerial vehicle (UAV) is the process of determining the path that travels through each location of interest within a particular area. There are numerous algorithms proposed and described in the publications to address UAV path planning problems. However, in order to handle the complex and dynamic environment with different obstacles, it is critical to utilize the proper fusion algorithms in planning the UAV path. This paper reviews some hybrid algorithms used in finding the optimal route of UAVs that developed in the last ten years as well as their advantages and disadvantages. The UAV path planning methods were classified into categories of hybrid algorithms based on traditional, heuristic, machine learning approaches. Criteria used to evaluate algorithms include execution time, total cost, energy consumption, robustness, data, computation, obstacle avoidance, and environment. The results of this study provide reference resources for researchers in finding the path for UAVs.

In recent years, a variety of technologies have improved mining operations. One of them is the Unmanned Aerial Vehicles (UAVs), the emerging technology that has been changing the mining process, boosting mining safety and productivity. The main purpose of this paper is to review the applications of UAVs in the mining industry based on the results of 113 research papers over the past twelve years, from 2010 to May 2022. The potential applications of UAVs in the mining industry are broad. Based on the paper identified, eight categories are used to classify UAV applications in the mining sector. The reviewed literature revealed that UAVs are an excellent tool for multitasking at any stage of a mining project and in any type of mine. The findings of this study may serve as some guidelines for developing the necessary requirements for the use of UAV technology in mine sites.

Over the past several years, unmanned aerial vehicles (UAVs) or drones have been utilized in a variety of fields and are becoming increasingly applied in flood management from the pre-flood to the post-flood phase. To gain deeper insights into the scope and emerging trends in the use of UAVs for flood management, we conducted a comprehensive analysis of the usage of UAVs in flood management applications. This research summarized the results of 69 academic publications over the past fourteen years from 2010 to the end of 2024, and described the current scientific trend of using UAVs to study flood hazards. Based on the publications found, UAV applications in flood management are classified into three phases: before the flood, during the flood, and after the flood. The study indicated that UAVs are used for providing the required information on flood-prone areas, monitoring the condition of the dam, assessing of flood hazards, re-mapping the flood-influenced regions, determining the flood damage, and carrying out the activities for search and rescue. The study results show the most popular applications during the flood management process, the types of UAVs exploited, the data acquisition methods, image processing technologies, and styles of flying control. In addition, the study indicated the key challenges and actionable future research directions of the use of UAVs in flood management. These obtained results broaden knowledge and provide technical reference materials for technicians, engineers, and research experts on flood management and prevention