Suchergebnisse - "Machine learning-based algorithm"

Machine learning-based algorithm selection for irregular three-dimensional packing in additive manufacturing von de Araújo, Luiz Jonatã Pires, Özcan, Ender, Atkin, Jason A.D., Baumers, Martin, Drake, John H.

“… In additive manufacturing (AM), a common problem is the efficient arrangement of arbitrary three-dimensional objects, subject to geometric constraints …”
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An Unsupervised Machine Learning-based Algorithm for Detecting Weak Impulsive Narrowband Quiet Sun Emissions and Characterizing Their Morphology von Bawaji, Shabbir, Alam, Ujjaini, Mondal, Surajit, Oberoi, Divya, Biswas, Ayan

“… The solar corona is extremely dynamic. Every leap in observational capabilities has been accompanied by unexpected revelations of complex dynamic processes …”
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A machine learning-based algorithm used to estimate the physiological elongation of ocular axial length in myopic children von Tang, Tao, Yu, Zekuan, Xu, Qiong, Peng, Zisu, Fan, Yuzhuo, Wang, Kai, Ren, Qiushi, Qu, Jia, Zhao, Mingwei

“… Background Axial myopia is the most common type of myopia. However, due to the high incidence of myopia in Chinese children, few studies estimating the …”
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Online Human Intention Detection through Machine-learning based Algorithm for the Control of Lower-limbs Wearable Robot von Moon, Huiseok, Boubezoul, Abderrahmane, Oukhellou, Latifa, Amirat, Yacine, Mohammed, Samer

“… This paper proposes a framework that combines both machine learning based algorithms and task-oriented control of an actuated-ankle-foot orthosis for human locomotion assistance during five gait …”
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Development of a Machine Learning Based Algorithm to Identify the Main Types of Optical Signal Transmission Faults Between a Switch and an Optical Transceiver von Kashtanov, Aleksandr A., Pazhetnov, Mihail E., Kashtanova, Elena V., Koptev, Evgeniy S., Furiaev, Igor A.

“… The authors analyze the subject matter, give examples of the main problems encountered in real data centers that use optical transceivers …”
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An unsupervised machine learning based algorithm for detecting Weak Impulsive Narrowband Quiet Sun Emissions and characterizing their morphology von Bawaji, Shabbir, Alam, Ujjaini, Mondal, Surajit, Oberoi, Divya, Biswas, Ayan

“… The solar corona is extremely dynamic. Every leap in observational capabilities has been accompanied by unexpected revelations of complex dynamic processes …”
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Using machine learning-based algorithms to construct cardiovascular risk prediction models for Taiwanese adults based on traditional and novel risk factors von Cheng, Chien-Hsiang, Lee, Bor-Jen, Nfor, Oswald Ndi, Hsiao, Chih-Hsuan, Huang, Yi-Chia, Liaw, Yung-Po

“… Methods This study involved a comprehensive analysis of clinical, demographic, and laboratory data from 8,495 subjects in Taiwan Biobank (TWB …”
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User authentication system based on human exhaled breath physics von Karunanethy, Mukesh, Tripathi, Rahul, Panchagnula, Mahesh V., Rengaswamy, Raghunathan

“… This work, in a pioneering approach, attempts to build a biometric system that works purely based on the fluid mechanics governing exhaled breath. We test the …”
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Detection of movement onset using EMG signals for upper-limb exoskeletons in reaching tasks von Trigili, Emilio, Grazi, Lorenzo, Crea, Simona, Accogli, Alessandro, Carpaneto, Jacopo, Micera, Silvestro, Vitiello, Nicola, Panarese, Alessandro

“… -subject variability, which requires custom calibrations and training. Here, we developed a machine-learning-based algorithm for detecting …”
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Mechanical Property, Efficacy, and User Experience of an Innovative Wearable Device in Preventing Fall-Induced Injuries von Hu, Kaixin, Guan, Zhongyang, He, Zhijie, Luo, Siran, Fang, Hongbin, Zhang, Yan, Ding, Li, Xu, Ying, Jiang, Liuya, Fu, Conghui, Zhao, Xiaoqing, Jia, Jie, Wu, Chenkai

“… ), a novel, reusable, non-airbag wearable device. Research Design and Methods The IBPV integrates a machine learning-based algorithm for real-time monitoring of wearer …”
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Prediction of revascularization by coronary CT angiography using a machine learning ischemia risk score von Kwan, Alan C., McElhinney, Priscilla A., Tamarappoo, Balaji K., Cadet, Sebastien, Hurtado, Cecilia, Miller, Robert J. H., Han, Donghee, Otaki, Yuka, Eisenberg, Evann, Ebinger, Joseph E., Slomka, Piotr J., Cheng, Victor Y., Berman, Daniel S., Dey, Damini

“… Objectives The machine learning ischemia risk score (ML-IRS) is a machine learning …”
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MarrowQuant 2.0: A Digital Pathology Workflow Assisting Bone Marrow Evaluation in Experimental and Clinical Hematology von Sarkis, Rita, Burri, Olivier, Royer-Chardon, Claire, Schyrr, Frédérica, Blum, Sophie, Costanza, Mariangela, Cherix, Stephane, Piazzon, Nathalie, Barcena, Carmen, Bisig, Bettina, Nardi, Valentina, Sarro, Rossella, Ambrosini, Giovanna, Weigert, Martin, Spertini, Olivier, Blum, Sabine, Deplancke, Bart, Seitz, Arne, de Leval, Laurence, Naveiras, Olaia

“… Bone marrow (BM) cellularity assessment is a crucial step in the evaluation of BM trephine biopsies for hematologic and nonhematologic disorders. Clinical …”
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Different Machine Learning-Based Algorithms Enabling Inverse Designs of Photonic Structures: A Physical Approach, a Weakly Adversarial One with Help Inspired by Transfer Learning, and a Distance Metric Learning Based One von Bao, Daqian

“… ), a very prosperous and prospective subject in optics and photonics.This thesis focuses on SciML methods that successfully predict the transmission pattern of light through photonic devices …”
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Deep learning models for predicting the survival of patients with hepatocellular carcinoma based on a surveillance, epidemiology, and end results (SEER) database analysis von Wang, Shoucheng, Shao, Mingyi, Fu, Yu, Zhao, Ruixia, Xing, Yunfei, Zhang, Liujie, Xu, Yang

“… (Surveillance, Epidemiology, and End Results) database of the National Cancer Institute of the United States were selected as study subjects …”
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Prediction of findings at screening colonoscopy using a machine learning algorithm based on complete blood counts (ColonFlag) von Hilsden, Robert J., Heitman, Steven J., Mizrahi, Barak, Narod, Steven A., Goshen, Ran

“… Adenomatous polyps are a common precursor lesion for colorectal cancer. ColonFlag is a machine- learning-based algorithm that uses basic patient information and complete blood cell counts (CBC …”
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Glaucoma Diagnosis with Machine Learning Based on Optical Coherence Tomography and Color Fundus Images von Nakazawa, Toru, Akiba, Masahiro, Kikawa, Tsutomu, Takada, Naoko, Shiga, Yukihiro, Tsuda, Satoru, Hashimoto, Kazuki, Omodaka, Kazuko, An, Guangzhou, Yokota, Hideo

“… This study aimed to develop a machine learning-based algorithm for glaucoma diagnosis in patients with open-angle glaucoma, based on three-dimensional optical coherence tomography (OCT …”
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Reinforcement learning and stochastic dynamic programming for jointly scheduling jobs and preventive maintenance on a single machine to minimise earliness-tardiness von Sabri, Abderrazzak, Allaoui, Hamid, Souissi, Omar

“… This paper addresses the problem of stochastic jointly scheduling of resumable jobs and preventive maintenance on a single machine, subject to random breakdowns, to minimise the earliness-tardiness cost …”
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Discovery of High-Risk Clinical Factors That Accelerate Brain Aging in Adults: A Population-Based Machine Learning Study von Sun, Jing, Wang, Luyao, Gao, Yiwen, Hui, Ying, Chen, Shuohua, Wu, Shouling, Wang, Zhenchang, Jiang, Jiehui, Lv, Han

“… Introduction: Brain age prediction using neuroimaging data and machine learning algorithms holds significant promise for gaining insights into the development …”
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Automated Signal Quality Assessment of Single-Lead ECG Recordings for Early Detection of Silent Atrial Fibrillation von Lueken, Markus, Gramlich, Michael, Leonhardt, Steffen, Marx, Nikolaus, Zink, Matthias D.

“… In this work, we present a machine learning-based algorithm for assessing signal quality of hand-held diagnostic ECG devices to prevent misclassification due to insufficient signal quality …”
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Improving CCTA‐based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation von Freiman, Moti, Nickisch, Hannes, Prevrhal, Sven, Schmitt, Holger, Vembar, Mani, Maurovich‐Horvat, Pál, Donnelly, Patrick, Goshen, Liran

“… ). Materials and methods Two sets of data were used in our work: (a) multivendor CCTA datasets of 18 subjects from the MICCAI 2012 challenge with automatically generated centerlines and 3 reference segmentations of 78 coronary segments and (b …”
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