Object-oriented heat transfer software application by Donno Maharanto

“…With fast and powerful personal computers becoming a common tool, many engineering software applications have been developed for practical and educational purposes. …”
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Performance analysis of linear and non-linear diversity combining techniques of FFH/BFSK communication systems by Tan, Nyit San.

“…The closed-form bit-error rate (BER) expressions for a uncoded fast frequency-hopped binary frequency-shift keying (FFH/BFSK) system using various diversity combining techniques in the presence of multi-tone jamming (MTJ) and additive white Gaussian noise (AWGN) conditions over a non-fading channel are obtained.…”
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Performance study of FFH/BFSK system with product-combining receiver over multi-tone jamming and AWGN channels by Hong, Tse Min.

“…In this dissertation, the performance of a fast frequency-hopped binary frequency-shift keying (FFH/BFSK) spread spectrum (SS) communication system that employs a product-combining receiver in the presence of multi-tone jamming (MTJ) and additive white Gaussian noise (AWGN) conditions over a non-fading channel is studied.…”
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Reconstructing 3D model from single image by Kumar, Nikita.

“…The ability to perform fast and accurate 3D reconstruction of an environment or object is central to many areas of computer vision processing. …”
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Erdene by Antoinette, Jade

“…Erdene is a fast paced 2 minutes film full of actions and a twist at the end of the story. …”
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Photoconductive terahertz generation and detection. by Chan, Eng Aik.

“…Experiment analogue to free space Time-Domain Spectroscopy is carried out for the waveform measurement. Fast Fourier Transform is then performed to obtain the frequency spectrum of the Terahertz pulse. …”
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Super-lift DC/DC converters by Sahan Udana Indrarathne.

“…The energy demand of the world is growing rapidly with the demands from fast growing economies in the world. To meet the energy demand many measures have been taken in last few decades. …”
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Stomach tissue classification using autofluorescence spectroscopy and machine learning by Lim, Soo Y., Yoon, Hong M., Kook, Myeong-Cherl, Jang, Jin I., So, Peter T. C., Kang, Jeon W., Kim, Hyung M.

“…We investigated the tissue samples in both sliced and block forms using a fast fluorescence imaging scanner. …”
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Prospects for Time-Domain and Multi-Messenger Science with AXIS by Arcodia, Riccardo, Bauer, Franz E., Cenko, S. Bradley, Dage, Kristen C., Haggard, Daryl, Ho, Wynn C. G., Kara, Erin, Koss, Michael, Liu, Tingting, Mallick, Labani, Negro, Michela, Pradhan, Pragati, Quirola-Vásquez, J., Reynolds, Mark T., Ricci, Claudio, Rothschild, Richard E., Sridhar, Navin, Troja, Eleonora, Yao, Yuhan

“…The observatory’s ability to localize and monitor faint X-ray sources opens up new opportunities to hunt for counterparts to distant binary neutron star mergers, fast radio bursts, and exotic phenomena like fast X-ray transients. …”
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m3: Accurate Flow-Level Performance Estimation using Machine Learning by Li, Chenning, Nasr-Esfahany, Arash, Zhao, Kevin, Noorbakhsh, Kimia, Goyal, Prateesh, Alizadeh, Mohammad, Anderson, Thomas

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Multiscale dynamics of charging and plating in graphite electrodes coupling operando microscopy and phase-field modelling by Lu, Xuekun, Lagnoni, Marco, Bertei, Antonio, Das, Supratim, Owen, Rhodri E, Li, Qi, O’Regan, Kieran, Wade, Aaron, Finegan, Donal P, Kendrick, Emma, Bazant, Martin Z, Brett, Dan JL, Shearing, Paul R

“…The phase separation dynamics in graphitic anodes significantly affects lithium plating propensity, which is the major degradation mechanism that impairs the safety and fast charge capabilities of automotive lithium-ion batteries. …”
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Semiconductor nanostructures for light-driven chemical reactions by Chua, Wan Yi

“…Hence, Fe3O4@TiO2 core-shell nanostructures substantially enhanced photocatalytic efficiency, as well as exhibiting fast magnetic separation and recyclable feature.…”
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Lotus root-like porous carbon for potassium ion battery with high stability and rate performance by Wang, Huanhuan, Artemova, Anastasiia, Yang, Guang, Wang, Haisheng, Zhang, Lili, Cao, Xu, Arkhipova, Ekaterina, Liu, Jilei, Huang, Yizhong, Lin, Jianyi, Shen, Zexiang

“…Besides, the high conductivity with nitrogen doping contributes to fast current response and fast K+ kinetics, exhibiting high rate capability and high surface contribution. …”
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A radio frequency tagging continuous-wave optical spectrometer with megahertz refreshing rate by Ren, Xiaojing, Hsieh, Chao-Mao, Malik, Mohammad O. A., Su, Joshua Weiming, Liu, Quan

“…Optical spectrometers capable of fast spectral measurements are useful in many fields spanning from industrial manufacturing to scientific research. …”
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Coupled partitioned fluid-motion solver in modelling the response of marine structures by Chow, Jeng Hei

“…The implicit method to solve the rigid body motion is based on Adams-Bashforth-Moulten predictor-corrector steps, an improvement over the Euler and the Leapfrog schemes for fast convergence. To ensure a balance between stability and fast convergence, Aitkens dynamic under-relaxation has been implemented on the accelerations. …”
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Origin of Photocarrier Losses in Iron Pyrite (FeS2) Nanocubes by Shukla, Sudhanshu, Xing, Guichuan, Ge, Hu, Prabhakar, Rajiv Ramanujam, Mathew, Sinu, Su, Zhenghua, Nalla, Venkatram, Venkatesan, Thirumalai, Mathews, Nripan, Sritharan, Thirumany, Sum, Tze Chien, Xiong, Qihua

“…This implies that improvement of iron pyrite solar cell performance lies in mitigating the intrinsic defects (such as sulfur vacancies) by blocking the fast carrier localization process. Photocarrier generation and relaxation model is presented by comprehensive analysis. …”
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High dimensional estimator of the maximum Sharpe ratio with and without short sales by Li, Qinyu

“…Simulation results imply that the weighted estimator outperforms at least one of its constituting estimators under certain covariance structure and the difference is significant, especially when the dimension is large or close to the sample size.…”
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Sequential learning for extreme learning machine by Liang, Nanying

“…OS-ELM is based on the combination of Extreme Learning Machine (ELM) and the recursive least-squares (RLS) algorithm. In the thesis, we explore the theory and the implementation of the proposed algorithm. …”
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Asian monetary fund : getting nearer by Rana, Pradumna B.

“…But still, don’t expect the AMF for at least another five years.…”
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Study on process parameter optimization for electron beam melting additive manufacturing by Wang, Chengcheng

“…In the second part, a ML method is leveraged for fast and precise process optimization with small datasets for SEBM. …”
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