使闭塞 发表于 2025-3-27 01:02:41
Andrea Trujillo,Marcos Orellana,María Inés Acosta particular, the study identifies density, permeability, and centrality as central aspects for urban regeneration policies aimed at creating inclusive, vibrant urban environments. This study contributes to the operationalization of criteria central to developing urban regeneration strategies based oaphasia 发表于 2025-3-27 04:01:48
http://reply.papertrans.cn/47/4659/465852/465852_32.pngAUGER 发表于 2025-3-27 09:07:53
Landsat 8 multispectral images into a binary scheme (“urban areas” and “non-urban areas”), a decision tree approach using STRed and SwiRed indices, NIR/SWIR2 ratio and NIR band was developed and implemented in GEE environment. The “image differencing” step was, instead, performed by subtracting two急急忙忙 发表于 2025-3-27 11:29:53
http://reply.papertrans.cn/47/4659/465852/465852_34.png微不足道 发表于 2025-3-27 17:34:22
http://reply.papertrans.cn/47/4659/465852/465852_35.pngllibretto 发表于 2025-3-27 18:23:36
http://reply.papertrans.cn/47/4659/465852/465852_36.png凶兆 发表于 2025-3-27 22:01:08
Jorge Buele,José Varela-Aldás,Franklin W. Salazar,Angel Soria,Víctor H. Andaluznd Fully loaded groups, it was analysed if it provided different results of peak oxygen uptake, heart rate and blood Lactate. Second, taking into account that higher differences were detected across categories (steps), we are interested in conducting an analysis which enables the definition of the vengrossed 发表于 2025-3-28 04:18:17
Lenin Erazo-Garzon,Jean Erraez,Lourdes Illescas-Peña,Priscila Cedilloa. Lastly, explainable AI (xAI) is leveraged to mine advanced rules, as well as increase the transparency of the model, enabling security analysts to understand the decision-making process behind threat detection. Through a comparative analysis, the efficacy of each method is evaluated in terms of d流浪者 发表于 2025-3-28 08:08:43
http://reply.papertrans.cn/47/4659/465852/465852_39.pngFEAS 发表于 2025-3-28 10:46:06
Andres Campoverde,Gabriel Barros, and feeds them into the model which then makes status prediction. The extracted features are then filtered into the model to improve its future predictions. The proposed model has a prediction accuracy of 91.3% and it is also cost effective as well as easy to use. The other benefit of the proposed