An Updated Review of Spatial Forest Planning: Approaches, Techniques, Challenges, and Future Directions

Engineering, Environmental Engineering, Life Sciences, Botany,
spatial forest planning   exact techniques   metaheuristics   forest landscape structure   decision support system   ecosystem services  

Advances in Spatial Forest Planning: Methods, Challenges, and Future Directions Academic Background Forest management planning is a critical tool for ensuring the sustainable use of forest resources. With the increasing global demand for forest products and ecosystem services, traditional forest planning methods are no longer sufficient to meet com...

Artificial Intelligence and Terrestrial Point Clouds for Forest Monitoring

Engineering, Environmental Engineering, Information Science, Computer Science, Artificial Intelligence, Life Sciences, Botany,
deep learning   machine learning   forest inventory   tree characteristics   open data   precision forestry   lidar  

Artificial Intelligence and Terrestrial LiDAR Point Clouds in Forest Monitoring: Academic Report Academic Background With the increasing importance of global climate change and forest resource management, precision forestry has become a key direction in modern forest management. Precision forestry relies on high-precision forest data collection and...

The Evolution of Forest Restoration in Europe: A Synthesis for a Step Forward Based on National Expert Knowledge

Engineering, Environmental Engineering, Life Sciences, Botany,
forest restoration   ecological recovery   multifunctionality   climate change   policy drivers   social impact   economic factors  

The Evolution of Forest Restoration in Europe: A Synthesis Based on National Expert Knowledge Academic Background In recent years, global attention to forest restoration has significantly increased. Forests are not only crucial habitats for biodiversity but also play a key role in addressing climate change, water resource management, and the provis...

Impact of Forest Operations in Four Biogeographical Regions in Europe: Finding the Key Drivers for Future Development

Engineering, Environmental Engineering, Life Sciences, Botany,
forest operations   environmental impact   bioeconomy   mechanization   sustainable development   forest management   digitalization  

Impact of Forest Harvesting Operations in Four Biogeographical Regions in Europe and Key Drivers for Future Development Academic Background With global climate change and shifts in forest management philosophies, the environmental, economic, and social impacts of forest harvesting operations have garnered increasing attention. Forest management in ...

Heuristic Underwater Perceptual Enhancement with Semantic Collaborative Learning

Engineering, Ocean Engineering, Information Science, Computer Science, Artificial Intelligence,
underwater image enhancement   deep learning   color correlation   object detection   semantic collaborative learning   invertible network   heuristic prior  

Academic Background and Problem Statement Underwater images have significant application value in fields such as marine exploration, underwater robotics, and marine life identification. However, due to the refraction and absorption of light by water, underwater images often suffer from low contrast and color distortion, which severely impacts the a...

From Behavior to Natural Language: Generative Approach for UAV Intent Recognition

Engineering, Aerospace Engineering, Information Science, Computer Science, Artificial Intelligence,
UAV   intent recognition   generative model   cross-modal   time series   deep learning   confrontation environment  

UAV Behavior Intent Recognition Based on Generative Models: A Cross-Modal Study From Behavior to Natural Language Background and Research Objectives In recent years, Unmanned Aerial Vehicle (UAV) technology has advanced rapidly and has found widespread applications in civilian and military domains, including search and rescue, precision agriculture...

Enhancing Aerial Object Detection with Selective Frequency Interaction Network

Engineering, Aerospace Engineering, Information Science, Computer Science, Artificial Intelligence,
aerial object detection   frequency-domain features   selective frequency interaction   convolutional neural networks   feature extraction   deep learning   computer vision  

Selective Frequency Interaction Network for Improved Aerial Object Detection Background and Problem Statement With the advancements in computer vision, aerial object detection has become a critical research focus in remote sensing. This task aims to identify targets such as vehicles or buildings from aerial images captured at varying angles and alt...

Spatio-Temporal Graph-Based Generation and Detection of Adversarial False Data Injection Evasion Attacks in Smart Grids

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
smart grids   false data injection attacks   adversarial attacks   spatio-temporal graphs   graph neural networks   machine learning   cybersecurity  

Title: Generating and Detecting Spatio-Temporal Graph-Based Adversarial False Data Injection Evasion Attacks in Smart Grids Background With the continuous development of modern smart grids, the grid, as a typical Cyber-Physical System (CPS), faces numerous security threats due to the extensive exchange of data between its components. Among these, F...

Simplified Kernel-Based Cost-Sensitive Broad Learning System for Imbalanced Fault Diagnosis

Engineering, Mechanical Engineering, Information Science, Computer Science, Artificial Intelligence,
fault diagnosis   imbalanced data   broad learning system   cost-sensitive learning   kernel mapping  

Research Report on the Simplified Kernel-Based Cost-Sensitive Broad Learning System (SKCSBLS) for Imbalanced Fault Diagnosis Research Background and Significance With the advent of Industry 4.0, smart manufacturing increasingly relies on industrial big data analytics. By extracting critical insights from machine operation data, the effectiveness of...

Event-Triggered Fuzzy Adaptive Stabilization of Parabolic PDE–ODE Systems

Mathematics, Engineering, Electrical Engineering, Information Science, Automation, Artificial Intelligence,
Event-Triggered Control   Fuzzy Logic Systems   Parabolic PDE-ODE Systems   Stabilization Control   Adaptive Backstepping  

Scientific Report: On “Event-Triggered Fuzzy Adaptive Stabilization of Parabolic PDE–ODE Systems” Research Background and Significance In modern engineering systems, such as flexible manipulators, heat transfer devices, and reactor controllers, many complex systems must be modeled using partial differential equations (PDEs). Due to their unique rea...