www.bing.com/ck/a?!&&p=b28c74d8c37873175f3333fac2e00bfbbf2381e7397053f35d5a7fa4349725dfJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=3fc501a1-8dda-6994-2fab-16b08c0e6812&u=a1aHR0cHM6Ly9hcG5ld3MuY29tL2FydGljbGUvdWtyYWluZS13YXItemFsdXpobnlpLXplbGVuc2t5eS1yYWlkLTVmZjllNWUyMDU0ZTBiMTdjMTBkYWY1OGQ3ZWFiNjNl&ntb=1
Feb 18, 2026 · The former Ukrainian army general widely seen as the top political rival to President Volodymyr Zelenskyy has spoken publicly for the first time about a deep rift between the two men.
github.com/ValdikSS/GoodbyeDPI
GoodbyeDPI — Deep Packet Inspection circumvention utility (for Windows) (⭐ 27970)
www.bing.com/ck/a?!&&p=6939b66cacbf9c40ecee546ee83a11eff38692238e019f23ac79528f2ebd47f0JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=1e2b4246-8ec2-6c82-2473-55578f166d1d&u=a1aHR0cHM6Ly93d3cueW91cmRpY3Rpb25hcnkuY29tL3dlbGw&ntb=1
Well definition: A deep hole or shaft sunk into the earth to obtain water, oil, gas, or brine.
www.bing.com/ck/a?!&&p=d7113ac3b150a0ef032de2e8b940ba61703c3734b5e526643b445d56e40c134fJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=1e2b4246-8ec2-6c82-2473-55578f166d1d&u=a1aHR0cHM6Ly93d3cud29yZHJlZmVyZW5jZS5jb20vZGVmaW5pdGlvbi93ZWxs&ntb=1
a container, receptacle, or reservoir for a liquid: the well of ink in a fountain pen. Building any sunken or deep, enclosed space, as a shaft for air or light, stairs, or an elevator, extending vertically through the …
arxiv.org/abs/2005.11780v1
Head pose estimation is a crucial problem for many tasks, such as driver attention, fatigue detection, and human behaviour analysis. It is well known that neural networks are better at handling classification problems than regression problems. It is...
www.reddit.com/r/HighStrangeness/comments/1r9xfdr/interstellar_object_3iatlas_is_using_a_3axis/
Avi Loeb and Toni Scarmato just dropped a new paper on 3I/ATLAS, and the implications are wild. [We just published a deep dive on this over at The Sentinel](https://thesentinelnetwork.substack.com/p/t...
arxiv.org/abs/1903.02596v2
GPUs offer orders-of-magnitude higher memory bandwidth than traditional CPU-only systems. However, GPU device memory tends to be relatively small and the memory capacity can not be increased by the user. This paper describes Buddy Compression, a sche...
arxiv.org/abs/2206.15470v2
Despite recent progress in developing animatable full-body avatars, realistic modeling of clothing - one of the core aspects of human self-expression - remains an open challenge. State-of-the-art physical simulation methods can generate realistically...
arxiv.org/abs/2412.05532v1
Webshell attacks are becoming more common, requiring robust detection mechanisms to protect web applications. The dissertation clearly states two research directions: scanning web application source code and analyzing HTTP traffic to detect webshells...
arxiv.org/abs/2006.01760v2
Precise and reliable estimation of reference evapotranspiration (ET o ) is an essential for the irrigation and water resources management. ET o is difficult to predict due to its complex processes. This complexity can be solved using machine learning...
arxiv.org/abs/2206.07364v2
Recently, deep neural networks have greatly advanced undersampled Magnetic Resonance Image (MRI) reconstruction, wherein most studies follow the one-anatomy-one-network fashion, i.e., each expert network is trained and evaluated for a specific anatom...
github.com/wentaozhu/AnatomyNet-for-anatomical-segmentation
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation (⭐ 145)
arxiv.org/abs/2407.05844v1
Pathological structures in medical images are typically deviations from the expected anatomy of a patient. While clinicians consider this interplay between anatomy and pathology, recent deep learning algorithms specialize in recognizing either one of...
arxiv.org/abs/2106.05915v3
Thoracic disease detection from chest radiographs using deep learning methods has been an active area of research in the last decade. Most previous methods attempt to focus on the diseased organs of the image by identifying spatial regions responsibl...
arxiv.org/abs/2305.09750v1
We organize a competition on hierarchical text detection and recognition. The competition is aimed to promote research into deep learning models and systems that can jointly perform text detection and recognition and geometric layout analysis. We pre...
arxiv.org/abs/2110.08042v1
Due to the vulnerability of deep neural networks (DNNs) to adversarial examples, a large number of defense techniques have been proposed to alleviate this problem in recent years. However, the progress of building more robust models is usually hamper...
arxiv.org/abs/2503.05934v3
Recent work by Google DeepMind introduced assembly-optimized sorting networks that achieve faster performance for small fixed-size arrays (3-8). In this research, we investigate the integration of these networks as base cases in classical divide-and-...
www.nature.com/articles/s41586-023-06004-9
Points: 783 | Comments: 318 | Author: anjneymidha
arxiv.org/abs/2004.01177v2
Tracking has traditionally been the art of following interest points through space and time. This changed with the rise of powerful deep networks. Nowadays, tracking is dominated by pipelines that perform object detection followed by temporal associa...
arxiv.org/abs/2311.16632v2
Missing data are frequently observed by practitioners and researchers in the building energy modeling community. In this regard, advanced data-driven solutions, such as Deep Learning methods, are typically required to reflect the non-linear behavior...
