github.com/revenol/DROO
revenol/DROO
Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks (⭐ 661)
arxiv.org/abs/2502.06963v2
Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of De…
The increasing complexity of Intelligent Transportation Systems (ITS) has led to significant interest in computational offloading to external infrastructures such as edge servers, vehicular nodes, and UAVs. These dynamic and heterogeneous environment...
www.bing.com/ck/a?!&&p=ff8a752aff289219dba01d0c206f1ced733efec97d2c86d82d13ef4a49db2849JmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=07394ee3-9633-6894-0d2c-59f1970b692c&u=a1aHR0cHM6Ly9kZXZmb3J1bS5yb2Jsb3guY29tL3Qvcm9ibG94LWNyZWF0b3ItZXhwZXJpZW5jZS1zdXJ2ZXktMjAyNC1zaGFyZS15b3VyLWZlZWRiYWNrLzM2MjM2OTA&ntb=1
Roblox Creator Experience Survey 2024: Share your feedback!
Apr 23, 2025 · Hello Creators! We are actively working to gain a deeper understanding of our creator community. Because of this, we’re asking you to help fill out our Roblox Creator Experience Survey. …
arxiv.org/abs/2505.08740v3
Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problem…
Parametric differential equations of the form du/dt = f(u, x, t, p) are fundamental in science and engineering. While deep learning frameworks such as the Fourier Neural Operator (FNO) can efficiently approximate solutions, they struggle with inverse...
www.reddit.com/r/shootingrangebudapest/comments/1nbjkdg/shooting_range_marketing_guide_strategies_for/
Shooting range marketing guide: Strategies for success in the UK
A shooting range is a unique enterprise. It is a place that merges the thrill of a sport with a deep-seated commitment to safety, professionalism, and community. However, in today’s highly competiti...
arxiv.org/abs/1903.10170v3
LOGAN: Unpaired Shape Transform in Latent Overcomplete Space
We introduce LOGAN, a deep neural network aimed at learning general-purpose shape transforms from unpaired domains. The network is trained on two sets of shapes, e.g., tables and chairs, while there is neither a pairing between shapes from the domain...
www.bing.com/ck/a?!&&p=77d9ce449d307acfd1d4708a841aea93420fc9505e6de81dfb180e7788a402fbJmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=21e5c5e1-febb-6e39-25bf-d2f3ff7e6f63&u=a1aHR0cHM6Ly9nZW1pbmkuZ29vZ2xlL3VzL2Fib3V0Lz9obD1lbg&ntb=1
Learn about Gemini, the everyday AI assistant from Google
Learn how Gemini works and discover groundbreaking features like Image Generation, Deep Research, Personalization, and more to supercharge your world.
arxiv.org/abs/1908.09591v2
Measuring Patent Claim Generation by Span Relevancy
Our goal of patent claim generation is to realize "augmented inventing" for inventors by leveraging latest Deep Learning techniques. We envision the possibility of building an "auto-complete" function for inventors to conceive better inventions in th...
www.reddit.com/r/nba/comments/1n8miyh/zach_lowe_on_the_kawhi_report_overwhelmingly_the/
Zach Lowe on the Kawhi report: "Overwhelmingly the response I've gotten from all…
...
www.bing.com/ck/a?!&&p=f61e8d6c558f886688db8df9b2e288b5370b210a2e855611a0f60f9aa57c1c53JmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=34330b77-3ec2-6547-1903-1c653fcd646b&u=a1aHR0cHM6Ly90aGV3b3Jrd2VhcnN0b3JlLmNvbS8&ntb=1
theworkwearstore.com – The Workwear Store
As specialists, our product selection - and our knowledge of workwear - runs deep. In addition, we carry other popular workwear brands like Ariat, Blaklader, Bulwark, Dovetail, DryShod, Timberland PRO, …
arxiv.org/abs/2512.17067v1
Bots Don't Sit Still: A Longitudinal Study of Bot Behaviour Change, Temporal Dri…
Social bots are now deeply embedded in online platforms for promotion, persuasion, and manipulation. Most bot-detection systems still treat behavioural features as static, implicitly assuming bots behave stationarily over time. We test that assumptio...
github.com/alexfrom0815/IR-BPP
alexfrom0815/IR-BPP
Packing irregular objects with deep reinforcement learning. (⭐ 330)
github.com/alexfrom0815/Online-3D-BPP-PCT
alexfrom0815/Online-3D-BPP-PCT
Code implementation of "Learning Efficient Online 3D Bin Packing on Packing Configuration Trees". We propose to enhance the practical applicability of online 3D Bin Packing Problem (BPP) via learning on a hierarchical packing configuration tree which makes the…
github.com/alexfrom0815/Online-3D-BPP-DRL
alexfrom0815/Online-3D-BPP-DRL
This repository contains the implementation of paper Online 3D Bin Packing with Constrained Deep Reinforcement Learning. (⭐ 632)
arxiv.org/abs/1904.08105v1
DistanceNet: Estimating Traveled Distance from Monocular Images using a Recurren…
Classical monocular vSLAM/VO methods suffer from the scale ambiguity problem. Hybrid approaches solve this problem by adding deep learning methods, for example by using depth maps which are predicted by a CNN. We suggest that it is better to base sca...
arxiv.org/abs/1703.09913v2
Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination
We present a method for assessing skill from video, applicable to a variety of tasks, ranging from surgery to drawing and rolling pizza dough. We formulate the problem as pairwise (who's better?) and overall (who's best?) ranking of video collections...
arxiv.org/abs/1805.05804v1
Garrett approximation for asymmetric rectangular potentials and its applications…
Garrett's approximation for the calculation of bound states energy in square wells is applied in a consistent way. So, one obtains simple formulas for these energies, with errors of about 1% for moderate, and 0.01% for deep wells. The application in...
arxiv.org/abs/2006.04307v2
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experime…
3D semantic segmentation is a fundamental task for robotic and autonomous driving applications. Recent works have been focused on using deep learning techniques, whereas developing fine-annotated 3D LiDAR datasets is extremely labor intensive and req...
www.reddit.com/r/AskWomen/comments/q3c3il/what_is_that_tiny_little_thing_that_is/
What is that tiny little thing that is inconsequential in the grander scheme of…
...
arxiv.org/abs/2503.21250v1
Orange Quality Grading with Deep Learning
Orange grading is a crucial step in the fruit industry, as it helps to sort oranges according to different criteria such as size, quality, ripeness, and health condition, ensuring safety for human consumption and better price allocation and client sa...