IEEE

Optimizing Deep Reinforcement Learning Configurations for Single Object Tracking

Abstract: Deep Reinforcement Learning (DRL) has become a critical approach for Object Tracking (OT) due to its ability to handle the sequential decision-making processes inherent in tracking tasks. By ...
Frontiers

Deep learning methods for 3D tracking of fish in challenging underwater conditions for future perception in autonomous underwater vehicles

Figure 1. Experimental setup showing the center structure (left) carrying the stereo video system and the Ping360 sonar, the six different shape (small cylinder, cube, and big cylinder) and color ...
The Nation Newspaper

Reps push for Federal–Akwa Ibom partnership to fast-track Ibom Deep Seaport project

The House of Representatives has called on the Federal Ministry of Marine and Blue Economy, the Nigerian Ports Authority (NPA), the Nigerian Maritime Administration and Safety Agency (NIMASA), and ...
Science Daily

A million-sun-mass mystery object found lurking in deep space

Scientists using a global array of radio telescopes have detected the universe’s lowest-mass dark object by observing how it warped light through gravitational lensing. The invisible mass, about a ...
Hosted on MSN

Tracking your EV, solar, and energy use with machine learning - Sense smart home interview

In this interview with Mike Phillips, CEO of Sense, learn how machine learning is utilized to track electric vehicle (EV) usage, solar energy, and overall energy consumption. Discover how this ...
Yahoo

Demi Lovato Taps Omar Apollo and Kim Petras to Unveil ‘It’s Not That Deep’ Track List

Demi Lovato enlisted some celebrity friends to help her unveil the track list for her new album, It’s Not That Deep. On Friday, the pop star shared a carousel of photos from Mistr’s National Day of ...
IEEE

Deep-Learning-Based Object Detection and Tracking of Debris Flows in 3-D Through LiDAR-Camera Fusion

Abstract: Debris flows are mixtures of water and sediments and are a significant natural hazard in mountainous regions. A novel monitoring approach combining LiDAR sensors and video cameras enables ...
Frontiers

Diagnosing autism spectrum disorder based on eye tracking technology using deep learning models

Introduction: Children with Autism Spectrum Disorder (ASD) often find it difficult to maintain eye contact, which is vital for social communication. Eye tracking (ET) technology helps determine how ...
marktechpost

Microsoft Research Releases Skala: a Deep-Learning Exchange–Correlation Functional Targeting Hybrid-Level Accuracy at Semi-Local Cost

TL;DR: Skala is a deep-learning exchange–correlation functional for Kohn–Sham Density Functional Theory (DFT) that targets hybrid-level accuracy at semi-local cost, reporting MAE ≈ 1.06 kcal/mol on W4 ...