The TTM webmaster was interviewed by Janna Clark of Fox23 about the poor condition of the pond in James C. Leake Park, 5 pm Tuesday 8/26 on KOKI Channel 23. Now added to the TTM Channel

Lords Bridge Air Ammunition Park opened on 16th November 1939 as a forward storage facility for between 750 - 1250 tons of high explosive and incendiary bombs for 2 & 3 Bomber Groups in East Anglia. It supplied 3 sub depots at Meldreth, Riseley and Bourn as well as bomb dumps at airfields within 2 and 3 Groups. The depot was administered by 95 Maintenance Unit RAF which came under the control of RAF Bassingbourn.

http://www.subbrit.org.uk/sb-sites/sites/l/lords_bridge_air_ammunition_park/index.shtml

Candlestick Park was an outdoor sports and entertainment stadium located in San Francisco, California, in the Bayview Heights area. The stadium was originally built as the home of Major League Baseball's San Francisco Giants, who played there from 1960 until moving into Pacific Bell Park (since renamed AT&T Park) in 2000. It was also the home field of the San Francisco 49ers of the National Football League from 1971 to 2013. The 49ers moved to Levi's Stadium (located in Santa Clara, California) before the beginning of the 2014 NFL season.

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

Developers behind one of Coventrysbiggest ever building projects face D-Day when the official application goes before the council's planning committee....

Session 6 The human touch – using podcasts for interaction and to create new relationships Dave Slusher – Evil Genius Chronicles Podcast This session focused on the relationship it is possible to build with an audience on a small scale,...

I've added clickable maps for a few of the neighborhoods. Each map shows the restaurants in that area. There are...

When looking for a place to house ghosts, a derelict amusement park seems to be ideal.

Jay is only one of the most charming handsome men alive. Great working with your team Jay!!! This is all part of the large commercial shoot I am doing for a local Parking Vender. These guys are a great team of wonderful people.

PurpleParking Discount Airport Car Parking

sparklingdirect.com over 75 Champagne gifts

First wave of bands announced for the German extravaganza.

California's Aventon hauled itself into the utility bike world last year with the Abound cargo ebike. Now the company has added a short-tail version, which comes with an all-new smart system for peace-of-mind security as well as enhanced connectivity.

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Category: Bicycles, Transport

Tags: ebikes, Pedal-assisted, cargo bike, Security

In addition to Ram Navami other local religious Yatras (processions), Ganga Aarti, (Prayer for river Ganges),Satsangs (religious meeting) , and other religious programs are being started with similar goals. The example of Kanwad Yatras (holy pilgrimage to collect Ganges water and to be put on Lord Shiva) is another example where the participants become aggressive.

1. 'Taking revenge on society': Deadly Zhuhai car attack sparks questions in China  BBC.com
2. Man Upset About Divorce Allegedly Rams Car into Crowd, Killing 35: Reports  PEOPLE
3. Video: 35 killed in mass hit-and-run in Zhuhai, China  CNN
4. Driver rams his car into crowd in China, killing 35. Police say he was upset about his divorce  The Associated Press
5. Zhuhai car attack: China clears memorial as government scrambles to respond  Reuters

Wondering what the ✨ (sparkle) emoji means? This fun and glittery emoji can be used in a variety of ways, so we’ve put together an easy guide just for you! Keep reading to learn what the sparkle emoji means and how you can use it.

Arches National Park in Utah recently announced that rangers are looking for comments on a proposed plan to deal with congestion. For over a decade, the National Park Service (NPS) has struggled to keep the park from becoming a gridlocked traffic mess as outdoor recreation has become more popular while ... [continued]

The post E-Bikes Could Solve A Big Problem For Arches National Park appeared first on CleanTechnica.

March Madness is a big deal, and not just for student-athletes. 

It’s another crossover episode of PCCH! This time Christina and Christian take on one of their favorite shows: Parks and Recreation! They discuss the interplay between communion and otherness, the theological value of beauty, and the redemption of all things, including our own pasts. They close with the Top 5 Parks and Recreation Quotes.

He was one of the original Evangelicals who came to Orthodoxy from Campus Crusade for Christ along with Fr. Peter Gillquist, Fr. Jon Braun, Fr. Gordon Walker, and others. He compiled the well-loved writings of the Apostolic Fathers, and he was the project director for the Orthodox Study Bible. Fr. Jack Sparks fell asleep in the Lord on Monday, February 8, 2010. AFR talks with Fr. Peter Gillquist.

Get to know Fr. John Parker, Chair of the Department of Evangelization of the Orthodox Church in America. Hear about his conversion to Orthodoxy as well as his views on evangelism.

Bobby Maddex, Digital Media Director at Ancient Faith Ministries interview with Graham Sparkman, a multi-instrumentalist, singer, songwriter, arranger and composer. Please visit; www.grahamsparkman.com www.grahamsparkman.com/open.spotify.com

County Tyrone 19-year-old Nick Griggs produces a Parkrun world's best at Victoria Park in Belfast when he clocks 13 minutes and 44 seconds.

Late scores from Ryan Owens and Jack Conlon see Clann Eireann beat Newbridge 0-14 to 0-12 in a tense Ulster Club Football quarter-final at Celtic Park.

Teenager Nick Griggs admits he didn't set out to break the Parkrun world record after achieving the feat in Belfast on Saturday.

Police investigating the rape of a 16-year-old student in Dundee believe they have footage of the suspect.

Dozens of new tourist businesses are opening in the South of Scotland as visitors escape to the great outdoors.

Nationwide predicts a fifth of first time buyers will pay the tax going forward, affecting activity.

Snowdonia National Park Authority will continue to refer to Wales' tallest mountain as Yr Wyddfa.

The Council voted through the changes unanimously.

Council leader Liam Robinson says that "detailed work" is underway to mitigate the budget deficit.

Councillor Ruth Houghton says the kerosene in the drains is "still flowing" after 10 days.

The plans to bring in charges led to protests in some areas and outside council meetings.

Business future uncertain; Georgia Stone reports.

The city centre facility has faced delays following the old one's closure for demolition.

Drivers can currently park for free for an hour, but might need to register on an app in the future.

Club members are not exactly bowled over when a Smart car driver blocks them in their car park.

Influencers say Sephora is "another world for beauty" as it prepares to open in Birmingham.

Workington Town Council raises concerns about the impact on nearby Hall Park.

Weymouth Town Council says it has made 23 December a free parking day to help last-minute shoppers.

A counter terror commander tells an inquiry the Salisbury poisonings were “truly unprecedented".

A parking area shut during Covid is reopening to help offset the spaces lost during regeneration work.

When to go, what to see and how to save money.

1. Niagara Health offering free parking after delays reported  News Talk 610 CKTB
2. Implementation of new Niagara Health patient info system resulting in long wait times  St. Catharines Standard
3. Temporary delays impacting registration at emergency departments  Thorold News
4. Niagara Health Working Through Delays  101.1 More FM
5. Niagara Health experiencing temporary delays impacting registration and EDs  Niagara Health

Aim/Purpose: Accurate detection of vacant parking spaces is crucial for autonomous parking. Deep learning, particularly Graph Neural Networks (GNNs), holds promise for addressing the challenges of diverse parking lot appearances and complex visual environments. Our GNN-based approach leverages the spatial layout of detected marking points in around-view images to learn robust feature representations that are resilient to occlusions and lighting variations. We demonstrate significant accuracy improvements on benchmark datasets compared to existing methods, showcasing the effectiveness of our GNN-based solution. Further research is needed to explore the scalability and generalizability of this approach in real-world scenarios and to consider the potential ethical implications of autonomous parking technologies. Background: GNNs offer a number of advantages over traditional parking spot detection methods. Unlike methods that treat objects as discrete entities, GNNs may leverage the inherent connections among parking markers (lines, dots) inside an image. This ability to exploit spatial connections leads to more accurate parking space detection, even in challenging scenarios with shifting illumination. Real-time applications are another area where GNNs exhibit promise, which is critical for autonomous vehicles. Their ability to intuitively understand linkages across marking sites may further simplify the process compared to traditional deep-learning approaches that need complex feature development. Furthermore, the proposed GNN model streamlines parking space recognition by potentially combining slot inference and marking point recognition in a single step. All things considered, GNNs present a viable method for obtaining stronger and more precise parking slot recognition, opening the door for autonomous car self-parking technology developments. Methodology: The proposed research introduces a novel, end-to-end trainable method for parking slot detection using bird’s-eye images and GNNs. The approach involves a two-stage process. First, a marking-point detector network is employed to identify potential parking markers, extracting features such as confidence scores and positions. After refining these detections, a marking-point encoder network extracts and embeds location and appearance information. The enhanced data is then loaded into a fully linked network, with each node representing a marker. An attentional GNN is then utilized to leverage the spatial relationships between neighbors, allowing for selective information aggregation and capturing intricate interactions. Finally, a dedicated entrance line discriminator network, trained on GNN outputs, classifies pairs of markers as potential entry lines based on learned node attributes. This multi-stage approach, evaluated on benchmark datasets, aims to achieve robust and accurate parking slot detection even in diverse and challenging environments. Contribution: The present study makes a significant contribution to the parking slot detection domain by introducing an attentional GNN-based approach that capitalizes on the spatial relationships between marking points for enhanced robustness. Additionally, the paper offers a fully trainable end-to-end model that eliminates the need for manual post-processing, thereby streamlining the process. Furthermore, the study reduces training costs by dispensing with the need for detailed annotations of marking point properties, thereby making it more accessible and cost-effective. Findings: The goal of this research is to present a unique approach to parking space recognition using GNNs and bird’s-eye photos. The study’s findings demonstrated significant improvements over earlier algorithms, with accuracy on par with the state-of-the-art DMPR-PS method. Moreover, the suggested method provides a fully trainable solution with less reliance on manually specified rules and more economical training needs. One crucial component of this approach is the GNN’s performance. By making use of the spatial correlations between marking locations, the GNN delivers greater accuracy and recall than a completely linked baseline. The GNN successfully learns discriminative features by separating paired marking points (creating parking spots) from unpaired ones, according to further analysis using cosine similarity. There are restrictions, though, especially where there are unclear markings. Successful parking slot identification in various circumstances proves the recommended method’s usefulness, with occasional failures in poor visibility conditions. Future work addresses these limitations and explores adapting the model to different image formats (e.g., side-view) and scenarios without relying on prior entry line information. An ablation study is conducted to investigate the impact of different backbone architectures on image feature extraction. The results reveal that VGG16 is optimal for balancing accuracy and real-time processing requirements. Recommendations for Practitioners: Developers of parking systems are encouraged to incorporate GNN-based techniques into their autonomous parking systems, as these methods exhibit enhanced accuracy and robustness when handling a wide range of parking scenarios. Furthermore, attention mechanisms within deep learning models can provide significant advantages for tasks that involve spatial relationships and contextual information in other vision-based applications. Recommendation for Researchers: Further research is necessary to assess the effectiveness of GNN-based methods in real-world situations. To obtain accurate results, it is important to employ large-scale datasets that include diverse lighting conditions, parking layouts, and vehicle types. Incorporating semantic information such as parking signs and lane markings into GNN models can enhance their ability to interpret and understand context. Moreover, it is crucial to address ethical concerns, including privacy, potential biases, and responsible deployment, in the development of autonomous parking technologies. Impact on Society: Optimized utilization of parking spaces can help cities manage parking resources efficiently, thereby reducing traffic congestion and fuel consumption. Automating parking processes can also enhance accessibility and provide safer and more convenient parking experiences, especially for individuals with disabilities. The development of dependable parking capabilities for autonomous vehicles can also contribute to smoother traffic flow, potentially reducing accidents and positively impacting society. Future Research: Developing and optimizing graph neural network-based models for real-time deployment in autonomous vehicles with limited resources is a critical objective. Investigating the integration of GNNs with other deep learning techniques for multi-modal parking slot detection, radar, and other sensors is essential for enhancing the understanding of the environment. Lastly, it is crucial to develop explainable AI methods to elucidate the decision-making processes of GNN models in parking slot detection, ensuring fairness, transparency, and responsible utilization of this technology.

This paper presents a novel deep learning technique called quantum dilated convolutional neural network-DenseNet (Q-DenseNet) for prediction of heart disease in spark framework. At first, the input data taken from the database is allowed for data partitioning using fast fuzzy C-means clustering (FFCM). The partitioned data is fed into spark framework, where pre-processed by missing data imputation and quantile normalisation. The pre-processed data is further allowed for selection of suitable features. Then, the selected features from the slave nodes are merged and fed into master node. The Q-DenseNet is used in master node for the prediction of heart disease. The performance improvement of the designed Q-DenseNet model is validated by comparing with traditional prediction models. Here, the Q-DenseNet method achieved superior performance with maximum of 92.65% specificity, 91.74% sensitivity, and 90.15% accuracy.

Many online are raising questions about a recent spate of public violence, as officials continue to censor discussion.

Mehwish’s sequin skirt was perfectly complemented by a matching silk button-down that whispered "class"