There is great randomness in multi-sensor acquisition of intelligent unmanned vehicles. There are great differences in the characteristics of the collected information. This paper presents an adaptive multi-sensor dat...
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The emergence of Internet big data has changed people's way of ***,due to a large number of data on the Internet,various forms and varieties,it is easy to cause information overload,which is not conducive to peopl...
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This paper presents a novel deep-learning pipeline to segment large railway datasets with minimal manual annotation, notoriously time consuming. The pipeline adapts DINOv2 [11] for labeling point clouds, with tailored...
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ISBN:
(纸本)9783031777301;9783031777318
This paper presents a novel deep-learning pipeline to segment large railway datasets with minimal manual annotation, notoriously time consuming. The pipeline adapts DINOv2 [11] for labeling point clouds, with tailored self-distillation pre-training and fine-tuning. The adopted transformer architecture successfully generalizes to multiple railway datasets, with a lightweight pipeline that outperforms manual labeling speed by a factor of 6, despite requiring a final segmentation check and correction. This groundbreaking achievement bridges the gap between the need for annotated point clouds in railway industry and the lack of publicly available annotated datasets.
The proceedings contain 10 papers. The special focus in this conference is on intelligent Systems Design and engineering Applications. The topics include: Japanese Road Lane Line Recognition Based on TwinLiteNet;...
ISBN:
(纸本)9789819792429
The proceedings contain 10 papers. The special focus in this conference is on intelligent Systems Design and engineering Applications. The topics include: Japanese Road Lane Line Recognition Based on TwinLiteNet;empowering Investigators: The Role of Smart Technology in Fingerprint Examination;a Comparative Evaluation of Thai Word Segmentation Techniques for Profanity Classification;a Machine Thematic Classification Method and Its Application in Automatically Analyzing Social Media Content;including Assembly Relationship Complexity into Assembly Line Balancing Problem;iterated Local Search Metaheuristic for the Vehicle Routing Problem with Drones;research on Estimation of Human Elbow Joint Rotational Acceleration Based on Mechanomyography and Broad learning System;design and Research of Advanced Test Equipment for Simulating the External Light Environment of Aircraft Cockpit.
As 5G technology progresses, the demands for computation and data communication in emerging vehicular networks are becoming increasingly rigorous. Edge Cloud Platform (ECP) emerges as a viable solution to address thes...
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The professional and personal quality of life are both improved by early diagnosis and treatment of mental health issues. Depression is a major factor in disability all over the world. Professionals can treat internal...
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Oral functioning, the ability to perform various oral functions, pain-free and without being ill, is one of the indicators of overall well-being and life satisfaction. Even though these diseases are mostly preventable...
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The proceedings contain 48 papers. The topics discussed include: a taxonomy of foundation model-based systems through the lens of software architecture;investigating the impact of SOLID design principles on machine le...
ISBN:
(纸本)9798400705915
The proceedings contain 48 papers. The topics discussed include: a taxonomy of foundation model-based systems through the lens of software architecture;investigating the impact of SOLID design principles on machine learning code understanding;identifying architectural design decisions for achieving green ML serving;modeling resilience of collaborative ai systems;an exploratory study of V-model in building ML-enabled software: a systems engineering perspective;engineering challenges in industrial AI;what about the data? a mapping study on dataengineering for AI systems;unmasking data secrets: an empirical investigation into data smells and their impact on data quality;an exploratory study of dataset and model management in open source machine learning applications;developer experiences with a contextualized AI coding assistant: usability, expectations, and outcomes;innovating translation: lessons learned from BWX generative language engine;and towards a responsible AI metrics catalogue: a collection of metrics for AI accountability.
As the problem of population aging becomes increasingly prominent, smart home robots are gradually gaining attention as intelligent assistants for the elderly. However, although there are already many smart home robot...
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These delays have been linked to the traditional traffic signal systems that are used as they are time bound with pre-set schedules that do not take into account changing operational surroundings. The real life integr...
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