Amazon S3 on MSN

Suppose telekinesis were real and we could move objects with our minds

What if you had the power to control things without touching them? What if you could use your mind for anything from bending spoons to lifting cars, and even stopping bullets right in front of you?
IEEE

MonoICT: A Monocular 3-D Object Detection Model Integrating CNN and Transformer

Abstract: In the field of autonomous driving, 3-D object detection is a crucial technology. Visual sensors are essential in this area and are widely used for 3-D object detection tasks. Recent ...
IEEE

Enhancing GNSS Localization in Urban Canyons With a Hybrid CNN-Autoencoder Approach to LOS/NLOS Classification

Abstract: Non-Line-of-Sight (NLOS) reception is acknowledged as a primary source of positioning error in Global Navigation Satellite System (GNSS) applications ...
IEEE

LSTA-CNN: A Lightweight Spatiotemporal Attention-Based Convolutional Neural Network for ASD Diagnosis Using EEG

Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...
News 8000

President unveils new ‘Trump class’ fleet of battleships

(CNN) — President Donald Trump unveiled a new “Trump class” of Navy battleships Monday, describing them as a superior war fighting vessel to replace an “old and tired and obsolete” US fleet. “They’ll ...
IEEE

CNN-Based Deep Learning Framework for Multi-Class Rice Leaf Disease Detection and Classification

Abstract: Being a major contributor to rice production worldwide, rice leaf diseases need to be detected early and correctly to achieve maximum output and reduce losses. Processes based on deep ...
IEEE

Temporal-Spatial Feature Extraction in IoT-Based SCADA System Security: Hybrid CNN-LSTM and Attention-Based Architectures for Malware Classification and Attack Detection

Abstract: This research presents a Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model developed for malware classification from IoT devices in the SCADA system and for ...
IEEE

Hardware-Accelerated Multi-Class Road Object Classification Using mmWave Radar and Graph Fourier Transform for Autonomous Driving

Abstract: Autonomous vehicles must accurately identify a variety of road objects, including cars, pedestrians, and bicycles, in order to operate safely in inclement weather and limited visibility.
The New Yorker

America’s Betting Craze Has Spread to Its News Networks

Having swallowed sports media, will gambling now devour other kinds of news? Last week, CNN announced a deal with Kalshi, a federally regulated online exchange where Americans can wager on current ...