Real time analysis of social behavior from video and kinect recordings by Ramasamy, Pandi Ramesh

“…Finally,analysis will be performed using pattern recognition algorithms and machine learning classifiers to detect the emotion of the subject.In this project,machine learning classifiers such as K-nearest neighbors,Naive Bayes and C4.5 Decision tree learning has been used. The prime aim is to pin point the most seemly machine learning classifier for obtaining highest accuracy for classification.…”
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Study on designer surface plasmon resonators by Gao, Fei

“…Spectral minimums associated with asymmetrical line-shapes are observed in near-field transmission spectra. …”
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Coherently tunable triangular trefoil phaseonium metamaterial by Soci, Cesare, Nguyen, Duc Minh, Ooi, Raymond C. H.

“…For specific values of the probing frequencies and control fields, the phaseonium can display either metallic or dielectric optical response. We find that, in the metallic regime, the phaseonium metamaterial structure supports extremely large transmission, with optical amplification at large enough intensity of the microwave thanks to strong surface plasmon coupling; while, in the dielectric regime without microwave excitation, the transmission bandwidth can be tuned by varying the control beam intensity. …”
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Mitigation of lightning-induced transient effects on a hybrid photovoltaic–wind system based on lightning protection standards by Abda, Zmnako Mohammed Khurshid, Ab Kadir, Mohd Zainal Abidin, Hizam, Hashim, Gomes, Chandima

“…The analysis in this work is crucial for designing, operating, and maintaining a hybrid PV–wind system. It can help to find the potential vulnerability areas within such a system and implement appropriate protection measures since there is no available lightning standard for such systems. …”
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Rapid process modeling of the aerosol jet printing based on gaussian process regression with latin hypercube sampling by Zhang, Haining, Moon, Seung Ki, Ngo, T. H., Tou, J., Bin Mohamed Yusoff, M. A.

“…Hence, it is necessary to develop a small data set based machine learning approach to model relationship between the process parameters and the line morphology. In this paper, we propose a rapid process modeling method for AJP process and consider sheath gas flow rate, carrier gas flow rate, stage speed as AJP process parameters, and line width and line roughness as the line morphology. …”
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Accelerating sparse matrix operations on FPGAs with on/off-chip memories by Li, Shiqing

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The use of unified power flow controller to enhance power system stability by Meng, Zhao Jun.

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On the link upgrade problem for networks by Niu, Zhuo.

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A study on thermal-induced distortion in solid objects by Cao, Yangfeng

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A manganese–ferritin nanocomposite as an ultrasensitive T2 contrast agent by Sana, Barindra, Poh, Chueh Loo, Lim, Sierin

“…We report a strategy for developing a T2 contrast agent from paramagnetic metal ions synthesized within an engineered protein cage. …”
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Enhancing Roll Form Bending Processes through Experimentation and Informed Predictive Analysis: A Strategic Approach to Optimize Tooling by Kompella, Sarvagnya

“…These insights can be integrated within Novelis’ production line to boost production efficiency and roll performance. …”
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Affordable Fiber Extrusion Device for Educational Purposes: Design Improvements, Controls Development, and Manufacturing Scale-up by Zhang, Yiqian

“…Building on the 2023 team’s progress, the 2024 project objectives include refining the design, developing controls, scaling up manufacturing, designing the assembly line, managing inventory, creating educational content, and conducting user testing and pilot runs. …”
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A Design Study Using Simulation Techniques in Roll Form Production by Lee, Joo Won

“…The team successfully built a digital twin of the new roll forming line, which accurately predicted the final product's geometry and provided precise recommendations for machine settings to achieve the desired shape. …”
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Synoptic analysis of a decade of daily measurements of SO2 emission in the troposphere from volcanoes of the global ground-based network for observation of volcanic and atmospheric... by Arellano, Santiago, Galle, Bo, Apaza, Fredy, Avard, Geoffroy, Barrington, Charlotte, Bobrowski, Nicole, Bucarey, Claudia, Burbano, Viviana, Burton, Mike, Chacón, Zoraida, Chigna, Gustavo, Clarito, Christian Joseph, Conde, Vladimir, Costa, Fidel, De Moor, Maarten, Delgado-Granados, Hugo, Di Muro, Andrea, Fernandez, Deborah, Garzón, Gustavo, Gunawan, Hendra, Haerani, Nia, Hansteen, Thor. H., Hidalgo, Silvana, Inguaggiato, Salvatore, Johansson, Mattias, Kern, Christoph, Kihlman, Manne, Kowalski, Philippe, Masias, Pablo, Montalvo, Francisco, Möller, Joakim, Platt, Ulrich, Rivera, Claudia, Saballos, Armando, Salerno, Giuseppe, Taisne, Benoit, Vásconez, Freddy, Velásquez, Gabriela, Vita, Fabio, Yalire, Mathieu

“…In this study, we present a compilation of results of homogenized post-analysis of measurements of <span classCombining double low line"inline-formula">SO2</span> flux and plume parameters obtained during the period March 2005 to January 2017 of 32 volcanoes in NOVAC. …”
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Uncertainty-Inclusive Contrastive Learning for Leveraging Synthetic Images by Cai, Fiona X.

“…Across three different finegrained classification datasets, we find that the learned representation space generated by the UniCon loss function leads to significantly improved downstream classification performance in comparison to supervised contrastive learning baselines.…”
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Optimization under ecological realism reproduces signatures of human speech perception by Magaro, Annika K.

“…In this paper, we address this question by comprehensively testing a neural network model trained in ecological conditions across a large set of speech manipulations, comparing its behavior to that of humans. We find that training in ecological conditions yields a fairly good overall match to human behavior, with some discrepancies that can be largely resolved by training specifically on these conditions. …”
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Scalable fabrication of graphene-based laminate membranes for liquid and gas separations by crosslinking-induced gelation and doctor-blade casting by Yang, Euntae, Karahan, H. Enis, Goh, Kunli, Chuah, Chong Yang, Wang, Rong, Bae, Tae-Hyun

“…Herein, we report the fabrication of large-area (1333 cm2) GO-based membranes via doctor-blade casting of gel-like slurries prepared by incorporating calcium ions (Ca2+), ferric ions (Fe3+), polyethylene oxide (PEO), or polyethyleneimine (PEI) as crosslinkers. …”
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Deciphering the poisoning effect of sulfate on a perovskite-derived IrOxHy catalyst for water oxidation in acid by Seow, Justin Zhu Yeow, Chen,Yubo, Ge, Jingjie, Fisher, Adrian C., Xu, Jason Zhichuan

“…On the other hand, the inevitable degradation of the PEM can induce the release of sulfate ions, which could poison electrocatalysts. Herein, the poisoning effects of sulfate ions on a representative SrCo0.9Ir0.1O3-δ-derived IrOx Hy catalyst and a standard IrO2 are studied. …”
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Extraction, purification and characterization of amylase enzyme from white pitaya (Hylocereus undatus (Haworth) britton & rose) peel using aqueous two- phase system by Shad, Zahra

“…Moreover, it was found that the activity of amylase was increased in the presence of calcium ions. The unique characteristics of amylase from white pitaya peel indicate the great potential application of the enzyme in food and biotechnology industries.…”
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The effects of processing conditions on the morphology of single conjugated polymers. by Yeo, Hui Lin.

“…Drop-cast single chains were proposed to either retain its extended conformation in CHCl3 solution, or adopt an ordered structure with hair-pin loops, giving rise to two corresponding distinct types of intensity traces. …”
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