Rise-Editing: Rotation-Invariant Neural Point Fields with Interactive Segmentation for Fine-Grained and Efficient Editing

Rise-Editing: Rotation-Invariant Neural Point Fields with Interactive Segmentation for Fine-Grained and Efficient Editing

Information Science, Computer Science, Artificial Intelligence,
Neural Radiance Fields   3D Scene Editing   Point-Based Representation   Interactive Editing   Rotation-Invariance  

Research on Efficient Fine-Grained 3D Scene Editing Based on Rotation-Invariant Neural Point Fields Academic Background In the fields of computer vision and graphics, modeling and rendering novel views of real scenes from multi-view images is a central problem. Neural Radiance Fields (NeRF) have recently demonstrated significant potential in genera...

Anxiety Disorder Identification with Biomarker Detection through Subspace-Enhanced Hypergraph Neural Network

Anxiety Disorder Identification with Biomarker Detection through Subspace-Enhanced Hypergraph Neural Network

Information Science, Artificial Intelligence, Medicine, Psychiatry, Medical Imaging, Life Sciences, Bioengineering,
anxiety disorder   hypergraph neural network   multimodal data   subspace enhancement   biomarker  

Anxiety Disorder Identification and Biomarker Detection Based on Subspace-Enhanced Hypergraph Neural Network Academic Background Anxiety Disorders (ADs) are prevalent mental health issues globally, affecting approximately 7.3% of the population. Patients with anxiety disorders typically exhibit excessive fear, worry, and related behavioral abnormal...

Secure Finite-Time Filtering for Switched Fuzzy Systems with Scaling Attacks and Stochastic Sensor Faults

Engineering, Electrical Engineering, Information Science, Automation,
Switched systems   Mixed H∞ and passivity filter   Takagi-Sugeno fuzzy model   Finite-time analysis   Average dwell-time   Scaling attacks  

Research on Secure Finite-Time Filter Design for Switched Fuzzy Systems Academic Background In modern control systems, switched systems and fuzzy systems have garnered significant attention due to their effectiveness in handling complex nonlinear dynamics. However, with the proliferation of networked systems, these systems face threats from sensor ...

Nonlinear Displacement Control and Force Estimation in a Piezoelectric Robotic Manipulator

Physics, Mechanics, Engineering, Mechanical Engineering, Electrical Engineering, Information Science, Automation,
piezoelectric manipulator   nonlinear control   force estimation   viscoelastic deformation   robotic systems  

Academic Background In the fields of engineering and materials science, precise control of robotic manipulator displacement and force is crucial for studying the mechanical properties of materials, especially when dealing with objects exhibiting nonlinear viscoelastic deformation. For instance, in textiles, aerospace, medical, and energy production...

Hierarchical Non-Singular Terminal Sliding Mode Control for Constrained Under-Actuated Nonlinear Systems Against Sensor Faults

Engineering, Electrical Engineering, Information Science, Automation,
under-actuated nonlinear systems   sensor faults   state constraints   dynamic event-triggered   hierarchical non-singular terminal sliding mode control  

Background Introduction In modern engineering practices, under-actuated systems are widely used in fields such as overhead cranes, wheeled inverted pendulums, and snake robots due to their simple structure, low energy consumption, and high flexibility. However, the number of control inputs in under-actuated systems is less than the degrees of freed...

Fixed-Time Observation and Control for Network Systems: A Distributed Event-Based Saturation Adaptive Method

Engineering, Electrical Engineering, Information Science, Automation,
complex networks   event-triggered control   saturation adaptive strategy   fixed-time observation   fixed-time synchronization  

Academic Background Complex Networks (CNs) play a crucial role in fields such as sociology, engineering, and natural sciences, and are widely applied in scenarios like power distribution, traffic dispatching, and multi-agent collaboration. However, due to factors such as communication packet loss, sensor noise, and environmental uncertainties, obta...