Adaptive degradation of images in network applications by Lau, Simon (Simon Yue Kam), 1975-

“…Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.…”
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LLM-based column lineage for relational databases by Tan, Yu Ling

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Automatic line matching across views by Schmid, C, Zisserman, A

“…Algorithms are developed for both short and long range motion. In the case of long range motion the algorithm involves evaluating a one parameter family of plane induced homographies. …”

The sailor's tale by Hopkin, D

“…This article explores the connection between a specific occupational group —long-haul sailors—and a specific genre of oral literature, the sailor’s tale or ‘long yarn’. …”

Static and cyclic behavior of steel beams retrofitted with fiber reinforced polymer laminates by Yu, Yi

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Improvement of power quality and system performance using energy storage systems by Ho, Peng Leong.

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Principles : Life and Work / by Dalio, Ray, author 656003, Simon & Schuster (Online service) 656004

“…It is these principles, and not anything special about Dalio—who grew up an ordinary kid in a middle-class Long Island neighborhood—that he believes are the reason behind his success. …”
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Taking eService-Learning to the Next Level / by Strait, Jean R., 1965-, editor 656157, Shumer, Robert D., 1947-, editor 656160, Nordyke, Katherine J., editor 656159, IAP Books (Online service) 656161

“…Strait takes us from the first chapter examining current issues and considerations for eService-Learning, to a second chapter that documents the growth and maturation of a program at Missouri State University, to chapters that introduce “critical” e-service learning with a social justice orientation (Gordon and Jackson-Brown), and chapters that address international experiences (Ong, Tan, et al., and Dietrich and Ekici) that involve eService-learning in Singapore and long-distance relationships between the U.S. and Afghanistan, to illustrate the multiplicity and diversity of current models of service and learning that occur through electronic means. …”
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Analysis of visitors’ mobility patterns through random walk in the Louvre Museum by Yoshimura, Yuji, Sinatra, Roberta, Krebs, Anne, Ratti, Carlo

“…Our results indicate that short-stay visitors exhibit stronger patterns than long-stay visitors, confirming that short-stay visitors are more selective than long-stay visitors in terms of their visiting style. …”
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Sustainable finance: ESG/CSR, firm value, and investment returns by Chang, Xin, Fu, Kangkang, Jin, Yaling, Liem, Pei Fun

“…Collectively, empirical evidence supports that they increase firm value by motivating employees, strengthening customer–supplier relationships, boosting long-term growth, increasing dividends, and reducing financing costs. …”
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Elucidating the role of ligand engineering on local and macroscopic charge-carrier transport in NaBiS2 nanocrystal thin films by Huang, Y-T, Schleuning, M, Hempel, H, Zhang, Y, Rusu, M, Unold, T, Musiienko, A, Karalis, O, Nora, J, Szymon, Z, Andrew, B, Natalie, N, Weixin, S, Louise, H, Sirringhaus, H, Stranks, S, Rao, A, Robert, H

“…Ternary chalcogenides have emerged as potential candidates for ultrathin photovoltaics, and NaBiS2 nanocrystals (NCs) have gained appeal because of their months-long phase-stability in air, high absorption coefficients >105 cm−1, and a pseudo-direct bandgap of 1.4 eV. …”

Tropical peat soil changes across successive oil palm generations in Sarawak, Malaysia by Ratai, Jicqueline, Teh, Christopher Boon Sung, Tan, Ngai Paing, Mohidin, Hasmah, Goh, Kah Joo, Sangok, Faustina Elfrida, Melling, Lulie

“…This cyclical planting practice in oil palm plantations could have long-term implications for the humification and properties of tropical peat soil. …”
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Factor Analysis Between Internal and External R&D with Operational Performance Moderated by Intellectual Property Rights by Anuar, Herman Shah, Mohamed Udin, Zulkifli, Mohd Nawi, Mohd Nasrun

“…Strict enforcement of IPR could yield better incentives for innovation. In the long run, revenue obtained from IPR can be used to finance innovation and R&D activities. …”
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Design and analysis of passive phase shifters using controllable defected ground structures in 65nm CMOS technology for 77-81 GHz automotive radar by Wu, Jiaqi

“…The operating frequency band for automotive radar is now confirmed to be 76-77 GHz for Long Range Radar (LRR), and 77-81 GHz wideband to achieve higher resolution for Middle Range Radar (MRR) and Short Range Radar (SRR) applications. …”
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Unifying serverless and microservice workloads with SigmaOS by Szekely, Ariel, Belay, Adam, Morris, Robert, Kaashoek, M. Frans

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Precious metal price prediction using deep neural networks by Peng, Zhiling

“…However, traditional regression methods have limited performances when processing long sequences and are prone to have underfitting or overfitting problems. …”
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Vulnerability modeling, assessment, and improvement in urban metro systems: a probabilistic system dynamics approach by Chen, Hongyu, Chen, Bin, Zhang, Limao, Li, Hong Xian

“…However, there are limited studies considering the long-term evolutional dynamics and uncertainties of the vulnerability in urban metro system. …”
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Mitigation of membrane biofouling via immobilizing Ag-MOFs on composite membrane surface for extractive membrane bioreactor by Yuan, Guoyu, Tian, Yuxiao, Wang, Bingxin, You, Xiaofei, Liao, Yuan

“…This excellent anti-biofouling performance should be attributed to the stable, controlled and long-lasting Ag+release from Ag-MOFs, as well as its less hydrophobic and negative charged surface properties, which made #M2 undergo the k0's increasing and gradual stabilization stages in the long-term EMBR operations.…”
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Nonequilibrium hyperuniform fluids by Lei, Yusheng

“…Disordered hyperuniform structures are an exotic state of matter with vanishing long-range fluctuations in many-particle systems, which have recently drawn attention from researchers in various fields such as mathematics, physics, materials sciences, etc., due to their unusual structural properties. …”
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Deep learning algorithms for classification of financial time series data by Lim, Kai Wei

“…Specifically, LSTM is able to circumvent the issue of long-term dependency as it has a unique unit structure for storage making it a suitable choice for financial time series classification. …”
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