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Apr 11, 2015 · By Mike Governale A few weeks ago we took you on a trip to Van Lare Wastewater Treatment Facility to see where Rochester’s dirty water goes to get cleaned up. It was there that we …
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My great grandfather died, along with another gentleman, in the sewer tunnel cave-in on October 1, 1894 while digging the Goodman Street/State Hospital Sewer Tunnel.
www.reddit.com/r/nextfuckinglevel/comments/1kor07x/dropping_a_stone_into_veryovkina_cave_at_2209/
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arxiv.org/abs/2302.01762v1
Third-party resources ($e.g.$, samples, backbones, and pre-trained models) are usually involved in the training of deep neural networks (DNNs), which brings backdoor attacks as a new training-phase threat. In general, backdoor attackers intend to imp...
arxiv.org/abs/2012.07118v1
The global climate change creates a dire need to mitigate greenhouse gas (GHG) emissions from thermal generation resources (TGRs). While microgrids are instrumental in enabling the deeper penetration of renewable resources, the short-term planning of...
arxiv.org/abs/2305.06108v1
NFT rug pull is one of the most prominent type of scam that the developers of a project abandon it and then run away with investors' funds. Although they have drawn attention from our community, to the best of our knowledge, the NFT rug pulls have no...
en.wikipedia.org/wiki/West_Lake
the tomb honours Yue Fei as a national hero and epitomises the Confucian values that have deeply influenced Chinese society for centuries. Tomb of Su Xiao
arxiv.org/abs/2410.21535v1
Exposure Correction (EC) aims to recover proper exposure conditions for images captured under over-exposure or under-exposure scenarios. While existing deep learning models have shown promising results, few have fully embedded Retinex theory into the...
www.bing.com/ck/a?!&&p=ffdd7e2b8f10f985bb378ce8e66ea4f96a130f985f300062d0962f34ad3e695fJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=27e88d9c-4550-657b-25f3-9a8d44ba64a5&u=a1aHR0cHM6Ly9tYWpvcnMuYnV0bGVyLmVkdS8&ntb=1
Discover the extensive array of academic majors and degree programs offered at Butler University, and delve deeper into various fields of academic interest.
arxiv.org/abs/2505.18105v1
Recent advances in web-augmented large language models (LLMs) have exhibited strong performance in complex reasoning tasks, yet these capabilities are mostly locked in proprietary systems with opaque architectures. In this work, we propose \textbf{Ma...
arxiv.org/abs/2103.16585v1
In our companion paper (Brought to Light I: Michea et al. 2021), we reveal spectacular spiral galaxy-like features in deep optical imaging of nine Virgo early-type dwarf galaxies, hidden beneath a dominating smooth stellar disk. Using a new combinati...
arxiv.org/abs/2407.17084v1
This study examines the effect of fiscal austerity measures on infant mortality in Greece. Austerity measures were initiated by the tripartite committee and implemented between 2010 and 2017 to counteract deep fiscal deficit and large public debt. By...
arxiv.org/abs/2205.07043v2
Probing has become a go-to methodology for interpreting and analyzing deep neural models in natural language processing. However, there is still a lack of understanding of the limitations and weaknesses of various types of probes. In this work, we su...
www.bing.com/ck/a?!&&p=c2ed1413de35c148a7b3486809cbc4219aa912d9715a9d8a15c9afdf8f0dad36JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=25859529-0f16-6297-098d-82380ef1635c&u=a1aHR0cHM6Ly93d3cubWVycmlhbS13ZWJzdGVyLmNvbS9kaWN0aW9uYXJ5L2ltbWVyc2l2ZQ&ntb=1
The meaning of IMMERSIVE is providing, involving, or characterized by deep absorption or immersion in something (such as an activity or a real or artificial environment).
arxiv.org/abs/1903.01069v4
The Gestalt laws of perceptual organization, which describe how visual elements in an image are grouped and interpreted, have traditionally been thought of as innate despite their ecological validity. We use deep-learning methods to investigate wheth...
arxiv.org/abs/2101.00238v1
Adaptive learning rate methods have been successfully applied in many fields, especially in training deep neural networks. Recent results have shown that adaptive methods with exponential increasing weights on squared past gradients (i.e., ADAM, RMSP...
www.bing.com/ck/a?!&&p=ffbe87bb6d06a2c6932df4b93691a471b35fdb2d87f99663b3c15520b51f421cJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=33d57303-4c23-6a9b-0e11-64124dd46b8f&u=a1aHR0cHM6Ly93d3cuc3BpY2VvZ3JhcGh5LmNvbS9saXN0LW9mLWhlcmJzLWFuZC1zcGljZXMv&ntb=1
Explore our list of spices and herbs, spice names, and flavor profiles to deepen your culinary knowledge and create vibrant dishes.
arxiv.org/abs/2505.09633v1
The proliferation of Text-to-Music (TTM) platforms has democratized music creation, enabling users to effortlessly generate high-quality compositions. However, this innovation also presents new challenges to musicians and the broader music industry....
arxiv.org/abs/2508.19749v2
Artificial General Intelligence (AGI) is promoted by technology leaders and investors as a system capable of performing all human intellectual tasks, and potentially surpassing them. Despite its vague definition and uncertain feasibility, AGI has att...
arxiv.org/abs/2405.12521v1
Graph Neural Networks (GNNs) are deep-learning architectures designed for graph-type data, where understanding relationships among individual observations is crucial. However, achieving promising GNN performance, especially on unseen data, requires c...
