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Vertical-flow tearable paper-tape rolls for scalable multiplexed point-of-care nucleic acid testing. [PDF]
Shi S +15 more
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Adversarial path planning for optimal CCTV surveillance: a case study on nuclear facility security optimization. [PDF]
Salman AE, Shaaban N, Zidan WI, Saad MH.
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Parameter-Reduced YOLOv8n with GhostConv and C3Ghost for Automated Blood Cell Detection. [PDF]
Yang J +4 more
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Can we optimise the TB response amid funding constraints using evidence-based, cost-effective strategies. [PDF]
Yassin MA, Rashid A, Wandwalo E.
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Computationally efficient face detection
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2002This paper describes an algorithm for finding faces within an image. The basis of the algorithm is to run an observation window at all possible positions, scales and orientation within the image. A non-linear support vector machine is used to determine whether or not a face is contained within the observation window.
Romdhani, S +3 more
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Signal Processing, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pang, Yanwei +3 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pang, Yanwei +3 more
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Efficient order dependency detection
The VLDB Journal, 2015Order dependencies (ODs) describe a relationship of order between lists of attributes in a relational table. ODs can help to understand the semantics of datasets and the applications producing them. They have applications in the field of query optimization by suggesting query rewrites.
Philipp Langer, Felix Naumann
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Efficient Detection of Network Motifs
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2006Motifs in a given network are small connected subnetworks that occur in significantly higher frequencies than would be expected in random networks. They have recently gathered much attention as a concept to uncover structural design principles of complex networks. Kashtan et al.
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Hardware-Efficient Seizure Detection
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2019Hardware-efficient classification is essential for applications such as medical implants, wearables, and IoT devices, with severe energy and resources constraints. Here, we propose a hardware-efficient machine learning algorithm based on gradient boosted decision trees.
Bingzhao Zhu, Mahsa Shoaran
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