Biomaterial Based Polymer Composites : properties and characterizations / by Siti Hajjar Che Man, editor 222965, Norfhairna Baharulrazi, 1985- editor 594316, Siti Khairunisah Ghazali, 1991-, contributors 612969, Lee, Siow Ling, 1985-, contributors 555906, Siti Hajjar Che Man, contributors 222965, Juin, Hor Low, contributors 626453, Norfhairna Baharulrazi, 1985- contributors 594316, Wan Aizan Wan Abdul Rahman, contributors 604310, Nurul Hazlina Naemuddin, 1990-, contributors 612923, Jau Choy, Lai, contributors 626454, Wan Nur Azwin Wan Omar, contributors 301784, Norzita Ngadi, 1976- contributors 411591, Zurina Mohamad, contributors 200440, Nurul Saadiah Lani, 1988-, contributors 579299, Mimi Haryani Hassim, contributors 604266, Nur Aziana Muhamad Puzi, 1989-, contributors 604580, Muslihah Mokeramin, contributors 626455, Emiliana Rose Jusoh @ Taib, contributors 307758, Syieluin Wong, contributors 626457, Nadia Adrus, contributors, Nur Ain Farahah Samsuri, contributors 626456, Jamarosliza Jamaluddin, contributors 251634, Dayangku Intan Munthoub, 1985-, contributors 512202, Rafidah Rusman, 1985, contributors 512504, Rohah Abdul Majid, contributors 558588, Muhd. Nazrul Hisham Zainal Alam, contributors 514231

Nanomaterials for Biomedical Application / by Mohd. Hayrie Mohd. Hatta, 1989-, editor 498358, Nik Ahmad Nizam Nik Malek, editor 614732, Mohd. Hayrie Mohd. Hatta, 1989-, contributor 498358, Nik Ahmad Nizam Nik Malek, contributor 614732, Abdulrahman Sani Aliero, contributor 655585, Abilasha Chandran, contributor 655586, Aishah Badruzzaman, contributor 444732, Farah Hidayah Kamisan, contributor 655587, Fatin Hasinah Marzoki, contributor 655588, Ho, Helen Hsin Yee, contributor 655595, Juan Matmin, contributor 387222, Khairunadwa Jemon, contributor 601214, Madhu Meetha Thiruchelvan, contributor 655596, Nazirah Amran, contributor 655589, Noor Alyanis Farhaida Mohd Zainon, 1993-, contributor 646213, Nur Shafeera Mohamad, 1992-, contributor 638062, Nur Syafiqa Syahida Sakrani, contributor 655590, Nurhidayah Aripin, 1987-, contributor 547607, Nurliyana Ahmad Zawawi, contributor 639915, Nurul Syuhadah Muhammad Tamrin, contributor 655591, Praseetha Prabhakaran, contributor 270598, Rukkumani Kumaran, contributor 655598, Sharel Raj, contributor 655599, Sharmala Devi Sivenyanam, contributor 655597, Siew Ling Lee, contributor 605851, Siti Hajar Mokri, contributor 655592, Wan Fatin Amira Wan Mohd. Zawawi, 1992-, contributor 639678, Wong, Ker Thi, contributor 655593, Wong, Sru Thi, contributor 655594

Artificial neural networks solutions for solving differential equations: A focus and example for flow of viscoelastic fluid with microrotation by Abdullah, null, Faye, Ibrahima, Laila Amera, Aziz

“…PINN offers an alternative to classical numerical methods. …”
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Data-driven forward and inverse analysis of two-dimensional soil consolidation using physics-informed neural network by Wang, Yu, Shi, Chao, Shi, Jiangwei, Lu, Hu

“…Different random seeds are used to test the robustness of the PINN developed and quantify the associated model uncertainty. …”
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Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool by Mukhmetov, Olzhas, Zhao, Yong, Mashekova, Aigerim, Zarikas, Vasilios, Ng, Eddie Yin Kwee, Aidossov, Nurduman

“…This work presents the development of a novel Physics-Informed Neural Network (PINN) method for fast forward simulation of heat transfer through cancerous breast models. …”
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Roadmap on energy harvesting materials by Pecunia, Vincenzo, Silva, S Ravi P, Phillips, Jamie D., Artegiani, Elisa, Romeo, Alessandro, Shim, Hongjae, Park, Jongsung, Kim, Jin Hyeok, Yun, Jae Sung, Welch, Gregory C., Larson, Bryon W., Creran, Myles, Laventure, Audrey, Sasitharan, Kezia, Flores-Diaz, Natalie, Freitag, Marina, Xu, Jie, Brown, Thomas M., Li, Benxuan, Wang, Yiwen, Li, Zhe, Hou, Bo, Hamadani, Behrang H., Defay, Emmanuel, Kovacova, Veronika, Glinsek, Sebastjan, Kar-Narayan, Sohini, Bai, Yang, Kim, Da Bin, Cho, Yong Soo, Žukauskaitė, Agnė, Barth, Stephan, Fan, Feng Ru, Wu, Wenzhuo, Costa, Pedro, del Campo, Javier, Lanceros-Mendez, Senentxu, Khanbareh, Hamideh, Wang, Zhong Lin, Pu, Xiong, Pan, Caofeng, Zhang, Renyun, Xu, Jing, Zhao, Xun, Zhou, Yihao, Chen, Guorui, Tat, Trinny, Ock, Il Woo, Chen, Jun, Graham, Sontyana Adonijah, Yu, Jae Su, Huang, Ling-Zhi, Li, Dan-Dan, Ma, Ming-Guo, Luo, Jikui, Jiang, Feng, Lee, Pooi See, Dudem, Bhaskar, Vivekananthan, Venkateswaran, Kanatzidis, Mercouri G., Xie, Hongyao, Shi, Xiao-Lei, Chen, Zhi-Gang, Riss, Alexander, Parzer, Michael, Garmroudi, Fabian, Bauer, Ernst, Zavanelli, Duncan, Brod, Madison K., Malki, Muath Al, Snyder, G. Jeffrey, Kovnir, Kirill, Kauzlarich, Susan M., Uher, Ctirad, Lan, Jinle, Lin, Yuan-Hua, Fonseca, Luis, Morata, Alex, Martin-Gonzalez, Marisol, Pennelli, Giovanni, Berthebaud, David, Mori, Takao, Quinn, Robert J., Bos, Jan-Willem G., Candolfi, Christophe, Gougeon, Patrick, Gall, Philippe, Lenoir, Bertrand, Venkateshvaran, Deepak, Kaestner, Bernd, Zhao, Yunshan, Zhang, Gang, Nonoguchi, Yoshiyuki, Schroeder, Bob C., Bilotti, Emiliano, Menon, Akanksha K., Urban, Jeffrey J., Fenwick, Oliver, Asker, Ceyla, Talin, A. Alec, Anthopoulos, Thomas D., Losi, Tommaso, Viola, Fabrizio, Caironi, Mario, Georgiadou, Dimitra G., Ding, Li, Peng, Lian-Mao, Wang, Zhenxing, Wei, Muh-Dey, Negra, Renato, Lemme, Max C., Wagih, Mahmoud, Beeby, Steve, Ibn-Mohammed, Taofeeq, Mustapha, K. B., Joshi, A. P.

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Parametric study of gravure printing process for R2R printed electronics by Pua, Suan Tai

“…In this study, however, various printing parameters were investigated to establish their effects on printed line width and film thickness, in an attempt to achieve fine line printing resolution over a large printing area. …”
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Physics-Informed Deep Learning for Plasma Etch Optimization by Dighamber, Mohit

“…Future work includes utilizing the PINN model in a Bayesian framework to facilitate recipe optimization for the desired etch profile.…”
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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.

“…Aerosol jet printing (AJP) technology is a relatively new 3D printing technology for producing customized microelectronic components due to its high design flexibility and fine feature deposition. However, complex interactions between machine, process parameters and materials will influence line morphology and remain a challenge on modeling effectively. …”
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Ultra wideBand indoor position localizaiton by Xu, Jun

“…It is specifically the case when line-of-sight (LOS) is absent due to severe blockage. …”
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Noise coupling analysis in integrated circuit packaging by Fernandus, Wylie

“…The impedance of the transmission line is exceptionally significant, as if any mismatch on the transmission line, the quality of the signal will be affected negatively. …”
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Developing MacRitchie by Chu, Hao Pei

“…Developing MacRitchie is a mixed media art installation which questions and challenges Land Transport Authority’s (LTA) proposal of the Mass Rapid Transit (MRT) Cross Island Line (CRL) cutting across MacRitchie Reservoir. Signs are appropriated into sculptures and video monologues are introduced as part of the installation. …”
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Modeling distance-dependent individual head-related transfer functions in the horizontal plane using frontal projection headphones by Sunder, Kaushik, Gan, Woon-Seng, Tan, Ee-Leng

“…Soc. 61, 989–1000] project the sound directly onto the pinnae from the front, and thus inherently create listener's idiosyncratic pinna cues at the eardrum. …”
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Fraudulent mediums and miracle-mongers: illusion, concealment and revelation in the works of Crivelli, Greenberg and Houdini by David, Karen

“…This article aims to raise questions and comparisons between illusions found in pictorial language, magical apparatus and parafictions, illustrating the fine line between illusion and material, and concealment and revelation.…”

Neural abstractive summarization: improvements at the sequence-level by Ravaut, Mathieu

“…With enough data, pre-trained Transformer-based sequence-to-sequence models can be fine-tuned and achieve strong performance on abstractive summarization benchmarks. …”
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Multiplexed model predictive control by Wu, Bing Fang

“…This results in demanding on-line optimization, hence computing resource can become an issue when applying MPC to complex systems with many inputs or with fast response times. …”
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Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging by Hirt, Sebastian, Höhl, Andreas, Schaeffer, Joachim, Pohlodek, Johannes, Braatz, Richard D, Findeisen, Rolf

“…This approach establishes a hierarchical control framework where Bayesian optimization directly fine-tunes closed-loop behavior towards a global and long-term objective, while MPC handles lower-level, short-term control tasks. …”
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Bridging the gap between animation mediums in 'Wait.' by Teoh, Soon Heng

“…However, there are factors to determine why one medium is preferred over another—Line mileage, visual and technical complexity, skills of the production team, production schedule, physical assets and budget. …”
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Hybrid machine learning method to determine the optimal operating process window in aerosol jet 3D printing by Zhang, Haining, Moon, Seung Ki, Ngo, Teck Hui

“…Despite the capability of fine feature deposition, the complicated relationship between the main process parameters will affect the printing quality significantly in a design space. …”
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Effect of hydrophobic soils on infiltration by Tong, Wan Yi

“…The fine sand layer was then replaced by hydrophobic fine sand to study the effect of hydrophobicity on the infiltration. …”
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