TechAnnouncer

Your Comprehensive Introduction to Robotics: From Basics to Advanced Concepts

Focus on One Area: Robotics is broad. You could focus on programming first, then move to electronics, or vice versa. Trying ...
IEEE

SGG-Nets: Generic Rotation-Invariant Plugin Networks for Point Cloud Analysis

Abstract: Rotation invariance is a crucial requirement for the analysis of 3D point clouds. However, current methods often achieve rotation invariance by employing specific network designs. These ...
IEEE

Facial 3D Regional Structural Motion Representation Using Lightweight Point Cloud Networks for Micro-Expression Recognition

Abstract: Human-computer interaction (HCI) relies on understanding and adapting to users' emotional states. Micro-expressions (MEs), a critical component of emotional perception, are characterized by ...
IEEE

Simulating Spiking Neural Networks with 8-Bit Floating-Point Numbers

Abstract: Performing brain simulations that match the size and dynamic nature of real brains is arduous but essential for understanding neural mechanisms underlying animal behaviour. To address this ...
IEEE

Parameter Mapping of Distribution Substitution for Inter-Point Distances in Random Networks

Abstract: Statistical models of inter-point distances are pivotal for analyzing and optimizing wireless communication networks and other spatial systems, such as vehicular swarms and distributed ...
TechAnnouncer

Master Python Online for Free: Top Resources and Tools

Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses for learning Python basics. Think Python provides a free e-book for a ...

He Leaked the Secrets of a Southeast Asian Scam Compound. Then He Had to Get Out Alive

A source trapped inside an industrial-scale scamming operation contacted me, determined to expose his captors’ crimes—and ...
IEEE

Urban Land Cover Classification Using Deep Neural Networks Based on VHR Multi-Spectral Image and Point Cloud Integration

Abstract: The recent development in computer processing and memory performance, and the growing availability of satellite imageries have made deep learning and convolutional neural networks more ...
IEEE

Comparative analysis of maximum power point tracking through ensemble learning and deep neural networks

Abstract: This paper presents a maximum power point tracking (MPPT) methodology utilizing machine learning (ML) to precisely monitor the maximum power output of a photovoltaic (PV) panel. This ...
IEEE

Comparing Traditional Computer Vision Algorithms and Deep Convolutional Neural Networks as Self Driving Algorithms for Use in Dynamic Conditions

Abstract: This research develops, compares, and analyzes both a traditional algorithm using computer vision and a deep learning model to deal with dynamic road conditions. In the final testing, the ...
IEEE

GS-DiT: Advancing Video Generation with Dynamic 3D Gaussian Fields through Efficient Dense 3D Point Tracking

Abstract: 4D video control is essential in video generation as it enables the use of sophisticated lens techniques, such as multicamera shooting and dolly zoom, which are currently unsupported by ...
IEEE

WinAcc: Window-based Acceleration of Neural Networks Using Block Floating Point

Abstract: Deep Neural Networks (DNNs) impose significant computational demands, necessitating optimizations for computational and energy efficiencies. Per-vector scaling, which applies a scaling ...