Bodhi by Liu, ZhangTeng, Png, Zhen Yu

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Lattice codes for the Gaussian wiretap channel by Belfiore, Jean-Claude, Oggier, Frederique, Sole, Patrick

“…It has been shown recently that coding for the Gaussian Wiretap Channel can be done with nested lattices. A fine lattice intended to the legitimate user must be designed as a usual lattice code for the Gaussian Channel, while a coarse lattice is added to introduce confusion at the eavesdroppper, whose theta series must be minimized. …”
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Markerless aerial-terrestrial co-registration of forest point clouds using a deformable pose graph by Casseau, B, Chebrolu, N, Mattamala Aravena, M, Freissmuth, L, Fallon, M

“…Our method then uses these constraints in a pose graph formulation, which enables us to finely align the respective clouds while respecting spatial constraints introduced by the terrestrial SLAM scanning process. …”

Universal in-context approximation by prompting fully recurrent models by Petrov, A, Lamb, TA, Paren, A, Torr, PHS, Bibi, A

“…Zero-shot and in-context learning enable solving tasks without model fine-tuning, making them essential for developing generative model solutions. …”

Language models as hierarchy encoders by He, Y, Yuan, Z, Chen, J, Horrocks, I

“…We evaluate HITs against pre-trained LMs, standard fine-tuned LMs, and several hyperbolic embedding baselines, focusing on their capabilities in simulating transitive inference, predicting subsumptions, and transferring knowledge across hierarchies. …”

AI-assisted discovery of quantitative and formal models in social science by Balla, J, Huang, S, Dugan, O, Dangovski, R, Soljačić, M

“…We propose that this AI-assisted framework can bridge parametric and non-parametric models commonly employed in social science research by systematically exploring the space of non-linear models and enabling fine-grained control over expressivity and interpretability.…”

UWB antipodal Vivaldi antenna for monostatic configuration of through wall imaging applications by AHMED, SAJJAD, JORET, ARIFFUDDIN, KATIRAN, NORSHIDAH, PONNIRAN, ASMARASHID, ABDULLAH, M. F. L., ZAKARIA, ZAHRILADHA, SULONG, MUHAMMAD SUHAIMI

“…A specific stable gain of around 11.7 dB is achieved with good directivity and fine radiation patterns. Using this monostatic UWB antenna design, a TWI simulation-based experiment was carried out. …”
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THE SKY SERPENT / by Ismim Putera, author 655827, Ikram Wazir, editor 655732

“…With the aid of Ratu Bimasakti, she discovers the location of her long-lost mother and learns that Hutan is hiding another terrifying monster—Nangkawang. …”

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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Noise tagging and perceptually-informed unsupervised clustering by Cai, HongLing

“…However, the persistent issue of aircraft noise had long been a concern for residents living near the air base. …”
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Protein structure prediction using bidirectional neural networks by Chen, Jin Miao

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Studies for single bunch and multi-bunch beam instabilities in the Diamond-II booster by Husain, R, Wang, S, Fielder, RT, Martin, IPS, Burrows, PN

“…The single bunch charge will be limited by short range wakefields in the booster, and long-range wakefields limit the charge for the multi-bunch trains. …”

Critical investigation of common-mode radiation mechanism from power line communication network by Oswal, Manish

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Design of differential microstrip ring antenna by Cheong, Kai Xiang

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Eikonal equation-based earthquake location by Li, Xiaoyan

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Nanostructured electrocatalysts for proton exchange membrane fuel cells (PEMFCS) by Wang, Shuangyin

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Longitudinal shear behaviour in composite slab with profiled steel decking by Ang, Yi Wen

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Design and development of a charging station for electric vehicles by Hui, Jia Junn.

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探究新加坡大学生性观念与性知识程度 = A study on sexual knowledge and attitudes of undergraduates in Singapore by 庄光毅 Chong, Gavin Guangyi

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Machine Learning Approaches for the Prediction of Postoperative Major Complications in Patients Undergoing Surgery for Bowel Obstruction by Mazzotta, Alessandro D., Burti, Elisa, Causio, Francesco Andrea, Orlandi, Alex, Martinelli, Silvia, Longaroni, Mattia, Pinciroli, Tiziana, Debs, Tarek, Costa, Gianluca, Miccini, Michelangelo, Aurello, Paolo, Petrucciani, Niccolò

“…Mazzotta 1,2ORCID,Elisa Burti 3,Francesco Andrea Causio 4,*ORCID,Alex Orlandi 5,Silvia Martinelli 4,Mattia Longaroni 6,Tiziana Pinciroli 7,Tarek Debs 8,Gianluca Costa 9ORCID,Michelangelo Miccini 10ORCID,Paolo Aurello 3 andNiccolò Petrucciani 3 1 Department of Surgery, Vannini General Hospital, Oncological and General Surgery, 00177 Rome, Italy 2 The BioRobotics Institute, Sant’Anna School of Advanced Studies, 56127 Pisa, Italy 3 Department of Medical and Surgical Sciences and Translational Medicine, Division of General and Hepatobiliary Surgery, St. …”
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