#Classic aircraft | Explore Tumblr Posts and Blogs

nocternalrandomness · 9 months

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N251L "Twilight Tear" ready to taxi at Duxford

#Warbird #WW2 Fighter #P-51 Mustang #Airshow #Aviation photos #Vintage airplane #Classic aircraft #Flying

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peachesodell · 5 months

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Pan Am.

Via a C-46 back in the day...

#1940s #1950s #1950s style #pan am #vintage style #classic aircraft #airplane

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classyclassix · 2 years

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Douglas AD-1 Skyraider

#a 1 skyraider #skyraider #douglas #warbird #ww2 #classic aircraft

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californiaroadtoad · 7 months

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This is a B-17.

This is what AI says is a B-17.

Really? No wonder people are worried about AI. AI is STUPID!

#ai art #ai is stupid #aircraft #classic aircraft

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aeroloversone · 1 year

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Concorde Retro Vintage British French aircraft travel pilot t-shirt

A unique aviation-themed graphics tee depicting the Marvel of British French Engineering, the Concorde supersonic passenger aircraft. Fans of vintage British travel advertising and the Concorde are sure to be please by this late-60's/early 70's inspired design.

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johnjhalseth · 2 years

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1946 Fairchild 24 at the Hagerstown Aviation Museum 2022 Wings & Wheels Expo. Flights available for a modest sum.

https://hagerstownaviationmuseum.org/aircraft.html

https://en.wikipedia.org/wiki/Fairchild_24

#Maryland #Hagerstown #Hagerstown Aviation Museum #2022 Wings & Wheels #2022 Wings & Wheels Expo #Wings & Wheels Expo #Fairchild 24 #Classic Aircraft #My Photographer #Photographers On Tumblr

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chaoticelegant · 5 months

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Rare academia aesthetic: Aeronautical History

#dark academia #light academia #academia aesthetic #historycore #aeronautical history #dark academia aesthetic #classic academia #history #aircraft

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ldagence · 2 months

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★彡𝓛𝓓ミ★

#old car #jaguar #classic car #aircraft hangar #oldtimer

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nocternalrandomness · 9 months

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"Waco Over Wanaka"

#WACO #Biplane #YMF-5 #Classic aircraft #Lake Wanaka #Flying #Aviation photography #Airplane #Vintage aircraft

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dimalink · 6 months

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River Raid 2 – summer fun

I have open for myself a little three dimensional videogame. At my retro notebook Asus F3S. While I was at the country house. Game was from Reflexive arcade. I think they have made lots of very different arcades. With rather simple graphics. But from other had games are fun.

We have here a three dimensional videogame. Arcade. About aircraft. And you can choose the craft your will flight at. So, you can do a different choice. Control of every aircraft is different. So, you can choose at start your flying craft. And tempo of the game will be also different.

And game idea – it is fly through river. And shoot everything is around! So there here a ships, for example. And helicopters. Everything you need to do – is shoot. For air and surface – rockets are different. You can also move left and right in terms of screen.

It is rather fun game for relax. Or short pause. So, it has different levels. And they are going more hard levels as you have progress through them. Graphics is cool, three dimensional.

Dima Link is making retro videogames, apps, a little of music, write stories, and some retro more.

WEBSITE: http://www.dimalink.tv-games.ru/home_eng.html ITCHIO: https://dimalink.itch.io/ GAMEJOLT: https://gamejolt.com/@DimaLink/games

BLOGGER: https://dimalinkeng.blogspot.com/ DISCORD: https://discord.com/invite/F24Kw7TaH4 TUMBLR: https://dimalink.tumblr.com/

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opelman · 9 months

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flickr

Messerschmitt 262 by Treflyn Lloyd-Roberts Via Flickr: One of the highlights of RIAT 2023 was the replica Me 262's flying displays. Here it taxis after arrival at Fairford. Aircraft: Flugmuseum Messerschmitt Classic Fighter Industries Me 262 A-1c D-IMTT/501244. Location: RAF Fairford, Gloucestershire.

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friendlywinglet · 7 months

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#Cessna #Cessna 182 #Cessna 182 Skylane II #General aviation #Aircraft #Fujifilm #fujifilm xt30ii #classic chrome film simulation

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jcmarchi · 5 months

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AI Algorithm Improves Predictive Models of Complex Dynamical Systems - Technology Org

New Post has been published on https://thedigitalinsider.com/ai-algorithm-improves-predictive-models-of-complex-dynamical-systems-technology-org/

AI Algorithm Improves Predictive Models of Complex Dynamical Systems - Technology Org

Researchers at the University of Toronto have made a significant step towards enabling reliable predictions of complex dynamical systems when there are many uncertainties in the available data or missing information.

Artificial intelligence – artistic concept. Image credit: geralt via Pixabay, free license

In a recent paper published in Nature, Prasanth B. Nair, a professor at the U of T Institute of Aerospace Studies (UTIAS) in the Faculty of Applied Science & Engineering, and UTIAS PhD candidate Kevin Course introduced a new machine learning algorithm that surmounts the real-world challenge of imperfect knowledge about system dynamics.

The computer-based mathematical modelling approach is used for problem solving and better decision making in complex systems, where many components interact with each other.

The researchers say the work could have numerous applications ranging from predicting the performance of aircraft engines to forecasting changes in global climate or the spread of viruses.

From left to right: Professor Prasanth Nair and PhD student Kevin Course are the authors of a new paper in Nature that introduces a new machine learning algorithm that addresses the challenge of imperfect knowledge about system dynamics. Image credit: University of Toronto

“For the first time, we are able to apply state estimation to problems where we don’t know the governing equations, or the governing equations have a lot of missing terms,” says Course, who is the paper’s first author.

“In contrast to standard techniques, which usually require a state estimate to infer the governing equations and vice-versa, our method learns the missing terms in the mathematical model and a state estimate simultaneously.”

State estimation, also known as data assimilation, refers to the process of combining observational data with computer models to estimate the current state of a system. Traditionally, it requires strong assumptions about the type of uncertainties that exist in a mathematical model.

“For example, let’s say you have constructed a computer model that predicts the weather and at the same time, you have access to real-time data from weather stations providing actual temperature readings,” says Nair. “Due to the model’s inherent limitations and simplifications – which is often unavoidable when dealing with complex real-world systems – the model predictions may not match the actual observed temperature you are seeing.

“State estimation combines the model’s prediction with the actual observations to provide a corrected or better-calibrated estimate of the current temperature. It effectively assimilates the data into the model to correct its state.”

However, it has been previously difficult to estimate the underlying state of complex dynamical systems in situations where the governing equations are completely or partially unknown. The new algorithm provides a rigorous statistical framework to address this long-standing problem.

“This problem is akin to deciphering the ‘laws’ that a system obeys without having explicit knowledge about them,” says Nair, whose research group is developing algorithms for mathematical modelling of systems and phenomena that are encountered in various areas of engineering and science.

A byproduct of Course and Nair’s algorithm is that it also helps to characterize missing terms or even the entirety of the governing equations, which determine how the values of unknown variables change when one or more of the known variables change.

The main innovation underpinning the work is a reparametrization trick for stochastic variational inference with Markov Gaussian processes that enables an approximate Bayesian approach to solve such problems. This new development allows researchers to deduce the equations that govern the dynamics of complex systems and arrive at a state estimate using indirect and “noisy” measurements.

“Our approach is computationally attractive since it leverages stochastic – that is randomly determined – approximations that can be efficiently computed in parallel and, in addition, it does not rely on computationally expensive forward solvers in training,” says Course.

While Course and Nair approached their research from a theoretical viewpoint, they were able to demonstrate practical impact by applying their algorithm to problems ranging from modelling fluid flow to predicting the motion of black holes.

“Our work is relevant to several branches of sciences, engineering and finance as researchers from these fields often interact with systems where first-principles models are difficult to construct or existing models are insufficient to explain system behaviour,” says Nair.

“We believe this work will open the door for practitioners in these fields to better intuit the systems they study,” adds Course. “Even in situations where high-fidelity mathematical models are available, this work can be used for probabilistic model calibration and to discover missing physics in existing models.

“We have also been able to successfully use our approach to efficiently train neural stochastic differential equations, which is a type of machine learning model that has shown promising performance for time-series datasets.”

While the paper primarily addresses challenges in state estimation and governing equation discovery, the researchers say it provides a general groundwork for robust data-driven techniques in computational science and engineering.

“As an example, our research group is currently using this framework to construct probabilistic reduced-order models of complex systems. We hope to expedite decision-making processes integral to the optimal design, operation and control of real-world systems,” says Nair.

“Additionally, we are also studying how the inference methods stemming from our research may offer deeper statistical insights into stochastic differential equation-based generative models that are now widely used in many artificial intelligence applications.”

Source: University of Toronto

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moderncalculators · 7 months

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Empowering Financial Decisions with Modern Calculators: Your Key to Financial Success

In an era where information is readily available, financial empowerment is key to making informed decisions. Thanks to the digital age, we have access to an impressive array of calculators that can simplify complex financial tasks. Let's explore the world of Modern Calculators and discover how these tools can empower you in various aspects of your financial journey.

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Confidence in your wardrobe starts with knowing your body shape. The Triangle Body Shape Calculator identifies your body type and offers fashion recommendations to elevate your style.

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Planning to buy a car in Georgia? The Car Payment Calculator GA simplifies the process by helping you estimate your monthly car payments, ensuring they fit comfortably within your budget.

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aviatrix-ash · 2 years

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Tagged along with my airplane fixing teacher on a Saturday morning to help out with the Air Race Classic.

Saw so cool planes 💕

Fun days like this remind me why I love this field and why I'm still trying so hard to get into it.

#i honestly could not live without aviation at this point of my life i love it so much ;w;#there really is nothing like it <3 #aviation #avgeek #aircraft #airplanes #pilatus #mig 17 #beechcraft #come fly with me #air race classic #general aviation #planeposting

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ratrodstudios2 · 1 month

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Wings of the Past ..........................

A timeless scene that harkens back to an era of innovation and adventure. Against a backdrop of vast open skies tinged with the soft hues of dawn, a meticulously restored 1934-35 Chevy shares the stage with the iconic silhouette of a North American Aviation T-6 Texan.

You are invited to embark on a journey through time, where vintage automobiles and legendary aircraft stand as timeless symbols of human ingenuity and ambition. It is a tribute to the pioneers who dared to dream and the machines that carried them to new heights, leaving an indelible mark on the tapestry of history.

The Chevy, a masterpiece of automotive design from its era, exudes an air of refined elegance. Its sleek, streamlined body, adorned in a rich maroon finish, stands as a testament to the craftsmanship and attention to detail of yesteryears. Chrome accents gleam in the early morning light, adding a touch of luxury to the vintage vehicle.

Park beside the Chevy, the T-6 Texan commands attention with its unmistakable presence. Its polished aluminum fuselage catches the first rays of sunlight, casting a radiant glow that accentuates its aerodynamic curves and rugged beauty. The roar of its radial engine seems to echo across the canvas, evoking memories of exhilarating aerial maneuvers and the thrill of flight.

Greeting Cards By Bob Kramer https://artist.greetingcarduniverse.com/bobkramer

Art By Bob Kramer https://fineartamerica.com/profiles/3-bob-kramer

Art By Bob Kramer https://www.zazzle.com/artbybobkramer

Art By Bob Kramer https://www.redbubble.com/people/BobKramer1/shop?asc=u

Rat Rod Studios https://www.cafepress.com/ratrodstudios/17350621

#vintage car #classic airplane #grass field #cloudy sky #propeller aircraft #car show #open engine #shiny #orange #vintage transportation #ai #digital #painting #nostalgia #timeless

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