Dynamical Pose Estimation by Yang, Heng, Doran, Chris, Slotine, Jean-Jacques

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Deep MinMax Networks by Lohmiller, Winfried, Gassert, Philipp, Slotine, Jean-Jacques

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Segmentation and analysis of cement particles in cement paste with deep learning by Qian, Hanjie, Li, Ye, Yang, Jianfei, Xie, Lihua, Tan, Kang Hai

“…Good agreement is obtained with the hydration degree calculated by using nonevaporable water in the samples for the 5 curing durations. At last, the shape of the cement particles is analyzed. …”
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Sensor-based human activity recognition via zero-shot learning by Wang, Wei

“…In recent years, with the advance of the sensor technology and the development of the machine learning algorithms, it obtains much progress. Activity recognition is a classification problem. …”
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Interfacing and testing of localization sensors on an autonomous vehicle by Yang Xuehuan

“…Furthermore, one of the objectives of the project is the incorporation of the localization outputs, in real-time, as the input for way-point generation system, in order to make the Toyota COMS EV drive autonomously. Lastly, one of the objectives of the project is to apply the algorithms to detect and avoid obstacles during the low speed autonomous mode.…”
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Target interception by mobile robots in a wireless sensor network (I) by Lin, Zhenxing.

“…Detailed descriptions of the algorithm in the system have been documented, demonstrating the two roles for the mobile robot operating under two different algorithms. …”
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Low complexity spectrum sensing for cognitive radio enabled aeronautical communication systems by Koodathumkal Mathew Libin

“…Air traffic has seen tremendous growth over the last decade and is expected to grow continuously. …”
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Hierarchical approach to study water cluster in first-principles calculations by Nguyen, Quoc Chinh

“…The distinct configurational isomers of different kinds of water clusters were uncovered and archived systematically by using a so-called archival memetic algorithm. The optimized geometries and relative stabilities of each system were analyzed afterward. …”
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Effects of tenability on the modelling of fire evacuation in a multi-storey passenger ship by Chen, Sebrina Xueqi.

“…As research had shown, it will be more efficient to use indirect algorithm as the required time is ten times lesser than direct algorithm. …”
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On strong semismoothness and superlinear convergence of complementarity problems over homogeneous cones by Nguyen, Hai Ha

“…Yamashita and M. Fukushima (Algorithm 2) to solve the SOC complementarity problems. …”
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Machine learning in additive manufacturing : state-of-the-art and perspectives by Wang, Chengcheng, Tan, Xipeng, Tor, Shu Beng, Lim, C.S.

“…In AM processing, contemporary ML algorithms can help to optimize process parameters, and conduct examination of powder spreading and in-process defect monitoring. …”
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Joint modelling of longitudinal data: a scoping review of methodology and applications for non-time to event data by Ouko, RK, Mukaka, M, Ohuma, EO

“…Estimation of model parameters was commonly done using Markov Chain Monte Carlo with Gibbs sampler algorithm (10 studies; 38%) for the Bayesian approach, whereas maximum likelihood was the most common (33 studies; 68.75%) for the frequentist approach. …”

Risk assessment model for UAV cost-effective path planning in urban environments by Hu, Xinting, Pang, Bizhao, Dai, Fuqing, Low, Kin Huat

“…Lastly, we performed simulations to validate the feasibility and effectiveness of our proposed risk assessment model. …”
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Hodge theory and its applications to molecular data analysis by Koh, Ronald Joon Wei

“…The HodgeRank algorithm was previously used to rank imcomplete or imbalanced data from several e-commerce sites and movies from Netflix. …”
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Simulation-based passenger evacuation optimization in metro stations considering multi-objectives by Guo, Kai, Zhang, Limao

“…A simulation-based approach integrating Random Forest (RF) and Non-dominated Sorting Genetic Algorithm III (NSGA-III) is proposed to perform the evacuation evaluation and optimization at metro stations. …”
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Achieving reliability for wireless multicast transmission using network coding by Qureshi, Jalaluddin

“…Given the packet feedback information at the transmitter we then propose a coding algorithm, which we call BENEFIT, to design GF(2) linear codes to recover the lost packets. …”
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Molecular, Genetic, and Process Approaches for Improving Secreted Pharmaceutical Protein Quality in Komagataella phaffii by Yang, Yuchen

“…Employing a machine learning algorithm, we improved the desired glycan abundance on a subunit vaccine candidate. …”
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Identifying software vulnerabilities via code representation learning by Wu, Bozhi

“…Specifically, E-SPI is introduced for security patch identification in commits, while SnapVuln enhances vulnerability detection in source code through dedicated slicing algorithms and a sophisticated GGNN with attention mechanisms. …”
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Public opinion trend analysis on nuclear energy via aspect-based sentiment analysis methods by Huang, Fan

“…At last, we analyzed the sentiment polarity prediction results of three datasets to present aspect-based public opinion trends on the nuclear energy-related tweets from 2011 to 2021. …”
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Global monitoring of volcanic SO2 degassing with unprecedented resolution from TROPOMI onboard Sentinel-5 Precursor by Barrington, Charlotte, Taisne, Benoit, Theys, N., Hedelt, P., De Smedt, I., Lerot, C., Yu, H., Vlietinck, J., Pedergnana, M., Arellano, S., Galle, B., Fernandez, D., Carlito, C. J. M., Delgado-Granados, H., Loyola, D., Van Roozendael, M.

“…Over the last four decades, space-based nadir observations of sulfur dioxide (SO2) proved to be a key data source for assessing the environmental impacts of volcanic emissions, for monitoring volcanic activity and early signs of eruptions, and ultimately mitigating related hazards on local populations and aviation. …”
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