This research introduces a new technique to use time-series analytic methods for mental health interventions using cloud-based Long Short-Term Memory (LSTM) networks and wearable biofeedback devices. Innovative approa...
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In recent decades, the detection of objects plays a vital role in High-Resolution Aerial Images and extensive range applications such as environmental managing, urban development and military applications. The obj ect...
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Nowadays, the construction industry's digital transformation processes are challenging civil engineering education. In general, students and society underestimate the civil engineering field as an outdated and arc...
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Nowadays, the construction industry's digital transformation processes are challenging civil engineering education. In general, students and society underestimate the civil engineering field as an outdated and archaic knowledge area. Despite the defragmentation and heterogeneity of the sector, advances have been made on the path for Construction 4.0 and 5.0 scenarios. From this perspective, the CONSTRUCT-Gequaltec group of the Faculty of engineering of the University of Porto have been sponsoring research and technological development using hardware and software targeting construction management solutions. This paper presents the work in progress mainly connected to the curricular units regarding project management in the Construction Section of the Civil engineering Department. It also targets assumptions of some expected results across the research and innovation priorities from ECTP Innovative Built Environment and United Nations Sustainable Development Goals (SDGs). Two fundamental elements of the teaching practices are presented as the Construction Sites of the Future (Laboratory -Based Education initiative) and Digital products catalogue targeting Digital Twins in Construction (Project Based Learning initiative). The learning outcomes address increasing knowledge of innovative solutions, delivering skills to deploy 5.0 actions, and targeting humancentred and sustainable attitudes and values.
Convolutional neural network (CNN) is the most widely used structure-building technique for deep learning models. In order to classify chest x-ray pictures, this study examines a number of models, including VGG-13, Al...
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Advancements in single-cell multi-omics sequencing technologies have dramatically transformed the analysis of cellular states at single-cell resolution. Cluster analyses leveraging single-cell transcriptome and epigen...
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Facial recognition has been nowadays a key role in computer field. The rapid advancement of Machine Learning techniques has been revolutionizing the field of computer vision. This paper presents a comprehensive invest...
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Most studies in remote sensing have focused on identifying and recognizing small, distant objects within large scenes. Detecting small objects, a particular subset of object detection, encounters significant difficult...
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This HICSS-58 mini-track aims to present novel and industrial solutions to challenging technical issues of Human-Robot Interaction (HRI) and compelling social robot use cases. In addition, this mini-track will share r...
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In recent years, faced with the double challenges of global water scarcity and urban population surge, the traditional artificial water meter reading method is low in efficiency and difficult to meet the needs of mode...
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This research investigates the development and implementation of an Internet of Things (IoT)-based closedsystem prototype for cultivating Yamabushitake (Lion's Mane) mushrooms, addressing the challenges of achievi...
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