IEEE

AUV Path Planning and Object Tracking Algorithm Based on Reinforcement Learning Under Point Cloud Observation

Abstract: Autonomous underwater vehicles (AUV) play an important role in the process of human exploration of the ocean. However, the existing AUV control methods are faced with the problem of ...
InfoWorld

Reader picks: The most popular Python stories of 2025

The best new features and fixes in Python 3.14 Released in October 2025, the latest edition of Python makes free-threaded ...
InfoWorld

Get started with Python’s new native JIT

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...
IEEE

JIMR: Joint Semantic and Geometry Learning for Point Scene Instance Mesh Reconstruction

Abstract: Point scene instance mesh reconstruction is a challenging task since it requires both scene-level instance segmentation and instance-level mesh reconstruction from partial observations ...
Newspoint on MSN

Python with AI tools course for job readiness in Hyderabad

Hyderabad: The Siasat’s Mahboob Hussain Jigar Career Guidance Centre has announced the beginning of free introductory classes ...
IEEE

Optimizing Access Point Placement in Industrial IoT: A Deep Reinforcement Learning Approach With Q-Learning Verification and Signal Heatmap Visualization

Abstract: Optimal access point (AP) placement inside an industrial layout is important to ensure excellent connectivity. However, wireless fidelity (Wi-Fi) AP placement is complicated because ...
GitHub

Getting started with Ollama for Python

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
IEEE

Learning Implicit Fields for Point Cloud Filtering

Abstract: Since point clouds acquired by scanners inevitably contain noise, recovering a clean version from a noisy point cloud is essential for further 3D geometry processing applications. Several ...
IEEE

Weakly Supervised Learning for Point Cloud Semantic Segmentation With Dual Teacher

Abstract: Point cloud semantic segmentation has achieved considerable progress in the past decade. To alleviate expensive data annotation efforts, weakly supervised learning methods are preferable, ...
IEEE

Hybrid-Fusion Mamba for Multitask Point Cloud Learning With Visual Perception Sensors

Abstract: Mobile robots and autonomous vehicles rely on 3-D point cloud technology for environmental perception, which often employ various visual perception sensors within their Internet of Things ...
IEEE

Deep Learning Analysis of UAV Lidar Point Cloud for Individual Tree Detecting

Abstract: In this paper, we address the important task of Individual Tree Detection (ITD) in forest environments for enabling tree parameter estimation including tree count, height, volume, and crown ...
IEEE

Improving Programming Learning in Engineering Students Through Discovery Learning

Abstract: Programming is basic to all engineering studies and a complicated subject for many first-year students. Many of the problems stem from the difficulty students have in finding the solution ...