IEEE

JAVA Mobile Application Development Course Under the Framework of Industry-Education Integration: Practice of Deep Learning and Neural Network Integration

Abstract: The popularization of AI technology, yes the emerging technology represented by deep learning and neural network has gradually become an important tool for solving complex problems.
IEEE

Deep Learning Neural Networks for 3D Point Clouds Shape Classification: A Survey

Abstract: Point clouds data acquisition is increasingly important over these years because of its wide applications such as autonomous driving, robotics, virtual reality, and medical treatment. Deep ...
IEEE

Prior-Guided Adversarial Learning With Hypergraph for Predicting Abnormal Connections in Alzheimer’s Disease

Abstract: Alzheimer’s disease (AD) is characterized by alterations of the brain’s structural and functional connectivity during its progressive degenerative processes. Existing auxiliary diagnostic ...
IEEE

PatchMixing Masked Autoencoders for 3D Point Cloud Self-Supervised Learning

Abstract: Recently, Point-MAE has extended Masked Autoencoders (MAE) to point clouds for 3D self-supervised learning, which however faces two problems: (1) the shape similarity between the masked ...
IEEE

Contrastive Boundary Learning for Point Cloud Segmentation

Abstract: Point cloud segmentation is fundamental in understanding 3D environments. However, current 3D point cloud segmentation methods usually perform poorly on scene boundaries, which degenerates ...
IEEE

DeepPSF: On-Orbit Point Spread Function Estimation of Space Camera With Deep Learning

Abstract: Obtaining an on-orbit space camera’s point spread function (PSF) is challenging but necessary for remote sensing image (RSI) restoration. Current methods rely on regular ground targets, ...
IEEE

Multi-Scale end-to-End Learning for Point Cloud Geometry Compression

Abstract: As 3D scanning devices and depth sensors advance, point clouds have attracted increasing attention as a format for 3D representation. Nevertheless, the tremendous amount of data in point ...
IEEE

Dual-View 3D Reconstruction via Learning Correspondence and Dependency of Point Cloud Regions

Abstract: Multi-view 3D reconstruction generally adopts the feature fusion strategy to guide the generation of 3D shape for objects with different views. Empirically, the correspondence learning of ...
Daily Mail

Harrison Butker's feminist critics say Chiefs kicker should 'learn to cook' after missing another extra point

Harrison Butker's latest miss was met with cheers from both Detroit Lions fans and the Kansas City Chiefs kicker's feminist critics. Given the chance to put Kansas City up 7-3 over Detroit in the ...
IEEE

Dual Branch Graph Representation Learning-Based Approach for Next Point-of-Interest Recommendation

Abstract: Next Point-of-Interest (POI) recommendation, a sub-task of POI recommendation, focuses on predicting the next POI a user will visit, relying on the user’s sequential check-in history. In ...
GitHub

java.lang.NullPointerException when trying to open remote file (could not open it)

I was trying to open a file in a remote host to see it locally and the exception occurs. The problem is systematic. I am using Netbeans 27 in Windows 11. Tried both JDK19 and JDK 24 and the porblem ...
IEEE

Fairness-Based Energy-Efficient 3-D Path Planning of a Portable Access Point: A Deep Reinforcement Learning Approach

Abstract: In this work, we optimize the 3D trajectory of an unmanned aerial vehicle (UAV)-based portable access point (PAP) that provides wireless services to a set of ground nodes (GNs). Moreover, as ...