IEEE

A 65 nm General-Purpose Compute-in-Memory Processor Supporting Both General Programming and Deep Learning Tasks

Abstract: This work presents a special unified compute-in-memory (CIM) processor supporting both general-purpose computing and deep neural network (DNN) operations, referred to as the general-purpose ...
IEEE

Deep Scene Flow Learning: From 2D Images to 3D Point Clouds

Abstract: Scene flow describes the 3D motion in a scene. It can be modeled as a single task or as a composite of the auxiliary tasks of depth, camera motion, and optical flow estimation. Deep learning ...
IEEE

An Improved Sequence-to-Point Learning for Non-Intrusive Load Monitoring Based on Discrete Wavelet Transform

Abstract: Nonintrusive load monitoring (NILM) is a process that monitors the aggregated power consumption data of customers measured by a single sensor and decomposes the real-time power consumption ...
IEEE

Generative Artificial Intelligence in Computer Programming: Does It Enhance Learning, Motivation, and the Learning Environment?

Abstract: Generative artificial intelligence (GenAI) is emerging as a transformative technology in higher education, particularly in programming instruction. However, its impact on learning, ...
IEEE

Toward Visual Interaction: Hand Segmentation by Combining 3-D Graph Deep Learning and Laser Point Cloud for Intelligent Rehabilitation

Abstract: Against the backdrop of the increasing trend of aging population in China and even globally, the demand for hand function rehabilitation is growing day by day, and human-machine interaction ...

How to learn ChatGPT in under an hour using my favorite guides and videos - for free

Finally, there's a plagiarism free Study Mode built right into ChatGPT that will help you set up practice quizzes and study guides. If you're learning anything, whether or not you're a full-time ...
IEEE

Deep Learning-Based Pedestrian Detection Using RGB Images and Sparse LiDAR Point Clouds

Abstract: One of the fundamental tasks in autonomous driving is environment perception for pedestrian detection, where the fused pedestrian detection using camera and light detection and ranging ...
IEEE

A Novel Point Cloud Deep Learning Method for Predicting Variable Airfoil Flow Fields

Abstract: Airfoil flow field is of great significance to the design optimization of aircraft shape. Convolutional Neural Networks (CNNs) have been applied in flow field prediction studies, which ...
archive

C programming for scientists and engineers with applications

Can you chip in? As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, ...
IEEE

Learning Compact Transformation Based on Dual Quaternion for Point Cloud Registration

Abstract: Accurately estimating 3-D rigid body transformation is a critical step for correspondences-free point cloud registration method. However, recently proposed methods have faced challenges in ...
Analytics Insight

Most In-Demand Programming Languages to Learn in 2026

Python, JavaScript, SQL, and Kotlin remain essential as demand for AI, data, and web development grows. TypeScript, Rust, and Go continue rising as modern, high-performance choices for scalable ...
IEEE

Parameter-efficient Prompt Learning for 3D Point Cloud Understanding

Abstract: This paper presents a parameter-efficient prompt tuning method, named PPT, to adapt a large multi-modal model for 3D point cloud understanding. Existing strategies are quite expensive in ...