Visual monitoring of High-Sea fishing activities using deep learning-based image processing
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-08949-9
Abstract: Due to the increasing shortage of fish in the seas, Vessel Monitoring Systems (VMS) play a very important role in fishing activity monitoring, control and surveillance. In this context, the detection of fishing activities in… read more here.
Keywords: image; fishing; activities using; fishing activities ... See more keywords
Single Accelerometer to Recognize Human Activities Using Neural Networks.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of biomechanical engineering"
DOI: 10.1115/1.4056767
Abstract: Exoskeletons have decreased physical effort and increased comfort in activities of daily living (ADL) such as walking, squatting and running. However this assistance is often activity specific and does not accommodate a wide variety of… read more here.
Keywords: real time; single accelerometer; activities using; human activities ... See more keywords
TeamWATCH: Visualizing development activities using a 3-D city metaphor to improve conflict detection and team awareness
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DOI: 10.1371/journal.pone.0193562
Abstract: The awareness of others’ activities has been widely recognized as essential in facilitating coordination in a team among Computer-Supported Cooperative Work communities. Several field studies of software developers in large software companies such as Microsoft… read more here.
Keywords: conflict detection; awareness; activities using; city metaphor ... See more keywords
Rational Design of a Low-Data Regime of Pyrrole Antioxidants for Radical Scavenging Activities Using Quantum Chemical Descriptors and QSAR with the GA-MLR and ANN Concepts
Sign Up to like & getrecommendations! Published in 2023 at "Molecules"
DOI: 10.3390/molecules28041596
Abstract: A series of pyrrole derivatives and their antioxidant scavenging activities toward the superoxide anion (O2•−), hydroxyl radical (•OH), and 1,1-diphenyl-2-picryl-hydrazyl (DPPH•) served as the training data sets of a quantitative structure–activity relationship (QSAR) study. The… read more here.
Keywords: scavenging activities; rational design; pyrrole; qsar mlr ... See more keywords
Counting Activities Using Weakly Labeled Raw Acceleration Data: A Variable-Length Sequence Approach with Deep Learning to Maintain Event Duration Flexibility
Sign Up to like & getrecommendations! Published in 2023 at "Sensors"
DOI: 10.3390/s23115057
Abstract: This paper presents a novel approach for counting hand-performed activities using deep learning and inertial measurement units (IMUs). The particular challenge in this task is finding the correct window size for capturing activities with different… read more here.
Keywords: variable length; deep learning; weakly labeled; approach ... See more keywords