arxiv.org/abs/2108.04107v1
1) The local environment and land usages have changed a lot during the past one hundred years. Historical documents and materials are crucial in understanding and following these changes. Historical documents are, therefore, an important piece in the...
www.reddit.com/r/CredibleDefense/comments/wseoyx/autonomous_maneuver_decision_making_of_dualuav/
[Direct link to the PDF:](https://mdpi-res.com/d_attachment/electronics/electronics-11-00467/article_deploy/electronics-11-00467-v2.pdf). ## About the journal: Electronics is an international, peer-r...
arxiv.org/abs/2508.19588v1
There is much discussion of the false outputs that generative AI systems such as ChatGPT, Claude, Gemini, DeepSeek, and Grok create. In popular terminology, these have been dubbed AI hallucinations. However, deeming these AI outputs hallucinations is...
arxiv.org/abs/2107.09408v2
Deep Neural Networks (DNNs) have achieved tremendous success for cognitive applications. The core operation in a DNN is the dot product between quantized inputs and weights. Prior works exploit the weight/input repetition that arises due to quantizat...
arxiv.org/abs/2103.16579v1
Dwarf early-type galaxies (ETGs) display a rich diversity in their photometric, structural, and dynamical properties. In this work, we address their structural complexity by studying with deep imaging a sample of nine dwarf ETGs from the Virgo galaxy...
arxiv.org/abs/1906.00148v2
Homomorphic Encryption (HE) is one of the most promising security solutions to emerging Machine Learning as a Service (MLaaS). Leveled-HE (LHE)-enabled Convolutional Neural Networks (LHECNNs) are proposed to implement MLaaS to avoid large bootstrappi...
arxiv.org/abs/2001.11263v2
In this paper, a deep-learning-based method for sound field reconstruction is proposed. It is shown the possibility to reconstruct the magnitude of the sound pressure in the frequency band 30-300 Hz for an entire room by using a very low number of ir...
arxiv.org/abs/1904.00275v1
Learning color mixing is difficult for novice painters. In order to support novice painters in learning color mixing, we propose a prediction model for semitransparent pigment mixtures and use its prediction results to create a Smart Palette system....
arxiv.org/abs/2503.24356v1
The ever-increasing data demand craves advancements in high-speed and energy-efficient computing hardware. Analog optical neural network (ONN) processors have emerged as a promising solution, offering benefits in bandwidth and energy consumption. How...
github.com/MostafaI/AILungMeasure
Automated lung size measurements using deep learning and computer vision on portable chest radiographs. (⭐ 0)
arxiv.org/abs/2306.15768v1
Pose recognition deals with designing algorithms to locate human body joints in a 2D/3D space and run inference on the estimated joint locations for predicting the poses. Yoga poses consist of some very complex postures. It imposes various challenges...
arxiv.org/abs/2209.02492v1
Nowadays, yoga has gained worldwide attention because of increasing levels of stress in the modern way of life, and there are many ways or resources to learn yoga. The word yoga means a deep connection between the mind and body. Today there is substa...
www.reddit.com/r/onlysearchdotco/comments/1qrbqr5/all_32_nfl_teams_included_what_onlyfans_creator/
Football loyalty runs deep. It shows up in old jerseys pulled from closets, group chats that light up on Sundays, and silly game day rituals that feel almost superstitious. But, while it is a big piec...
arxiv.org/abs/1912.06680v1
On April 13th, 2019, OpenAI Five became the first AI system to defeat the world champions at an esports game. The game of Dota 2 presents novel challenges for AI systems such as long time horizons, imperfect information, and complex, continuous state...
arxiv.org/abs/1906.03939v1
Esports have become major international sports with hundreds of millions of spectators. Esports games generate massive amounts of telemetry data. Using these to predict the outcome of esports matches has received considerable attention, but micro-pre...
arxiv.org/abs/1812.06162v1
In an increasing number of domains it has been demonstrated that deep learning models can be trained using relatively large batch sizes without sacrificing data efficiency. However the limits of this massive data parallelism seem to differ from domai...
www.reddit.com/r/mystery/comments/1l1fgje/the_haunting_disappearance_of_kris_kremers_and/
Hey r/mystery, buckle up because I’m diving deep into a very creepy case I come across, the disappearance of Kris Kremers and Lisanne Froon in Panama, 2014. This case has everything: a remote jungle...
www.reddit.com/r/popheads/comments/le1oxb/a_guide_to_the_weeknds_discography/
Since The Weeknd is performing at the Super Bowl Halftime show, I thought it’d be nice to post a little guide to his discography for anyone interested in looking to do a deep dive into his work. I w...
www.reddit.com/r/canceledpod/comments/1r4a2mu/gabbie_hanna_says_jessi_smiles_and_trisha_abused/
I have no words.. how much deeper does she want to dig her hole? She’s now teaching yoga at a YMCA.. how much lower can it get? What an embarrassing, pathetic human. She deserves to get 100% run of ...
arxiv.org/abs/2109.07380v1
Deep reinforcement learning (RL) has shown great empirical successes, but suffers from brittleness and sample inefficiency. A potential remedy is to use a previously-trained policy as a source of supervision. In this work, we refer to these policies...