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Forests | Free Full-Text | Demand-Led Optimization of Urban Park Services

As the demand for cultural and recreational services grows, the mismatch between the supply and demand of park services significantly affects residents’ well-being. Optimizing the spatial layout of park services is a focal point of urban park and green space research. Taking Hangzhou, Zhejiang Province, as a case study, this research analyzes the spatial patterns and balance of park service supply and demand. Utilizing the Grey Wolf Optimization Model optimized by the K-Nearest Neighbor Model (GWO-KNN), this study proposes construction objectives for optimizing park services. The results indicate the following: (1) significant differences exist in the park service demands of residents in different residential environments; (2) there is a noticeable spatial disparity in park service supply among various residential areas with an overall positive correlation between park service supply levels and resident demands, yet an imbalance exists; (3) this study categorizes spatial types in ....

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Online machine learning models accurately predict wastewater influent flow rate

Online machine learning models accurately predict wastewater influent flow rate
techxplore.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from techxplore.com Daily Mail and Mail on Sunday newspapers.

Pengxiao Zhou , Mcmaster University , Environmental Science , Adaptive Random Forest , Adaptivek Nearest Neighbors , Adaptive Multi Layer , Random Forest , K Nearest Neighbors ,

"A hyperspectral evaluation approach for quantifying salt-induced weath" by Haiqing Yang, Chiwei Chen et al.

Salt-induced weathering is a common phenomenon in stone relics, and its traditional artificial evaluation of severity is greatly affected by subjective consciousness and lacks systematic standards. Here, we propose a hyperspectral evaluation method for quantifying salt-induced weathering on sandstone surfaces in laboratory tests. Our novel approach consists of two parts: data acquisition of microscopic observations of sandstone in salt-induced weathering environments, and machine learning technology for a predictive model. We first obtain the microscopic morphology of sandstone surfaces by near-infrared hyperspectral imaging technique. Then, a salt-induced weathering reflectivity index is proposed according to analyses of spectral reflectance variation. Next, a principal components analysis-Kmeans (PCA-Kmeans) algorithm is applied to bridge the gaps between the salt-induced weathering degree and the associated hyperspectral images. Furthermore, machine learning technologies, such as Ra ....

Kmeans Pca , Artificial Neural Network , Random Forest , Support Vector Machine , K Nearest Neighbors , Dazu Rock ,

How to Know When Image Synthesis Systems Are Producing Genuinely 'Original' Material

A new study from South Korea has proposed a method to determine whether image synthesis systems are producing genuinely novel images, or 'minor' variants on the training data, potentially defeating the objective of such architectures (such as the production of novel and original images). Very oft ....

United Kingdom , South Korea , Google Deepmind , Google Imagen , Microsoft Github Co , Kim Jaechul Graduate School , Watt University , Korea Advanced Institute Of Science , Github Co Pilot , Weird Dalle Generation , Google Search , Google Image , Korea Advanced Institute , Rarity Score , New Metric , Synthesized Images , Heriot Watt University , Truncation Trick , Frechet Inception Distance , Kernel Inception Distance , K Nearest Neighbors ,

Synthetic Data Does Not Reliably Protect Privacy, Researchers Claim

Synthetic Data Does Not Reliably Protect Privacy, Researchers Claim
unite.ai - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from unite.ai Daily Mail and Mail on Sunday newspapers.

France General , United Kingdom , United States , Privbayes Baynet , University College London , Generative Adversarial Network , Texas Department Of State Health Services , Synthetic Data , Anonymisation Groundhog Day , Adult Data Set , Learning Repository , Texas Department , State Health , Logistic Regression , Random Forests , K Nearest Neighbors , ஒன்றுபட்டது கிஂக்டம் , ஒன்றுபட்டது மாநிலங்களில் , பல்கலைக்கழகம் கல்லூரி லண்டன் , டெக்சாஸ் துறை ஆஃப் நிலை ஆரோக்கியம் சேவைகள் , செயற்கை தகவல்கள் , டெக்சாஸ் துறை , நிலை ஆரோக்கியம் , லாஜிஸ்டிக் பின்னடைவு , சீரற்ற காடுகள் , கே அருகில் பக்கத்து ,