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Akademický článek

Artificial Neural Network-based model to predict the International Roughness Index of national highways in Nepal

Autor: Taranath Sigdel, Rojee Pradhananga, Saurav Shrestha

Publikováno v: Transportation Research Interdisciplinary Perspectives, Vol 25, Iss , Pp 101128- (2024)

Reliable predictions of pavement performance are crucial for road maintenance, rehabilitation, and reconstruction planning. To facilitate predictions of the International Roughness Index (IRI) changes over time on national highways in Nepal, this stu

Externí odkaz: https://doaj.org/article/6d539e8d78b8423bb29ad5da7d6d7b98

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GND: Global Navigation Dataset with Multi-Modal Perception and Multi-Category Traversability in Outdoor Campus Environments

Autor: Liang, Jing, Das, Dibyendu, Song, Daeun, Shuvo, Md Nahid Hasan, Durrani, Mohammad, Taranath, Karthik, Penskiy, Ivan, Manocha, Dinesh, Xiao, Xuesu

Navigating large-scale outdoor environments requires complex reasoning in terms of geometric structures, environmental semantics, and terrain characteristics, which are typically captured by onboard sensors such as LiDAR and cameras. While current mo

Externí odkaz: http://arxiv.org/abs/2409.14262

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Automating REST API Postman Test Cases Using LLM

Autor: Sri, S Deepika, S, Mohammed Aadil, R, Sanjjushri Varshini, Raman, Raja CSP, Rajagopal, Gopinath, Chan, S Taranath

In the contemporary landscape of technological advancements, the automation of manual processes is crucial, compelling the demand for huge datasets to effectively train and test machines. This research paper is dedicated to the exploration and implem

Externí odkaz: http://arxiv.org/abs/2404.10678

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