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We find new solutions of IIA supergravity which have the interpretation of intersecting NS-5-branes at $Sp(2)$-angles on a string preserving at least 3/32 of supersymmetry. We show that the relative position of every pair of NS-5-branes…

High Energy Physics - Theory · Physics 2009-10-09 G. Papadopoulos , A. Teschendorff

We present an action for a six-dimensional superconformal field theory containing a non-abelian tensor multiplet. All of the ingredients of this action have been available in the literature. We bring these pieces together by choosing the…

High Energy Physics - Theory · Physics 2018-04-06 Christian Saemann , Lennart Schmidt

Complex networks have been employed to model many real systems and as a modeling tool in a myriad of applications. In this paper, we use the framework of complex networks to the problem of supervised classification in the word…

Physics and Society · Physics 2013-02-20 Thiago C. Silva , Diego R. Amancio

In double field theory, the physical space has been understood as a subspace of the doubled space. Recently, the doubled space is defined as the para-Hermitian manifold and the physical space is realized as a leaf of a foliation of the…

High Energy Physics - Theory · Physics 2020-07-15 Yuho Sakatani , Shozo Uehara

We show that all branes admit worldvolume domain wall solutions. We find one class of solutions for which the tension of the brane changes discontinuously along the domain wall. These solutions are not supersymmetric. We argue that there is…

High Energy Physics - Theory · Physics 2009-10-09 Eric Bergshoeff , George Papadopoulos , Jan Pieter van der Schaar

This paper introduces a new neural network model that aims to mimic the biological brain more closely by structuring the network as a complete directed graph that processes continuous data for each timestep. Current neural networks have…

Neural and Evolutionary Computing · Computer Science 2024-01-10 Frank Li

Type IIB string theory admits a BPS configuration in which three strings (of different type) meet at a point. Using this three string configuration we construct a string network and study its properties. In particular we prove supersymmetry…

High Energy Physics - Theory · Physics 2009-10-30 Ashoke Sen

In this work we set out to find a method to classify protein structures using a Deep Learning methodology. Our Artificial Intelligence has been trained to recognize complex biomolecule structures extrapolated from the Protein Data Bank…

Machine Learning · Computer Science 2021-11-04 Damiano Perri , Marco Simonetti , Andrea Lombardi , Noelia Faginas-Lago , Osvaldo Gervasi

We study the D-brane solutions to type IIB superstring in ten dimensions and find interpretation in terms of compactification of a twelve dimensional three-brane of (a specific) F-theory on a torus $T^2$. In this frame-work, there also…

High Energy Physics - Theory · Physics 2009-10-30 Supriya Kar

It has been shown that membranes and fivebranes are wave-like or monopole-like solutions in some higher dimensional theory. Here the picture is completed by combining the wave and monopole solutions into a single solution of Exceptional…

High Energy Physics - Theory · Physics 2015-10-29 David S. Berman , Felix J. Rudolph

We consider four dimensional supersymmetric gauge field theories from brane configurations with the matter content given by semi-infinite D4 branes ending on both sides of NS branes. In M theory configuration, we discuss the splitting of…

High Energy Physics - Theory · Physics 2007-05-23 Kyungho Oh , Radu Tatar

We study the 3D field theory on one D3-brane stretched between (r,s) and (p,q)5-branes. The boundary conditions are determined from the analysis of NS5 and D5 charges of the two 5-branes. We carry out the mode expansions for all the fields…

High Energy Physics - Theory · Physics 2009-10-31 Takuhiro Kitao , Nobuyoshi Ohta

We present a number of investigations of 5d ${\cal N}=1$ supersymmetric gauge theories that make use of 5-brane web constructions and the 5d superconformal index. These include an observation of enhanced global symmetry in the 5d fixed…

High Energy Physics - Theory · Physics 2015-06-17 Oren Bergman , Diego Rodriguez-Gomez , Gabi Zafrir

We trained Binarized Neural Networks (BNNs) on the high resolution ImageNet ILSVRC-2102 dataset classification task and achieved a good performance. With a moderate size network of 13 layers, we obtained top-5 classification accuracy rate…

Computer Vision and Pattern Recognition · Computer Science 2016-11-22 Xundong Wu , Yong Wu , Yong Zhao

We discuss branes whose worldvolume dimension equals the target spacetime dimension, i.e. ``spacetime-filling branes''. In addition to the D9-branes, there are 9-branes in the NS-NS sectors of both the IIA and IIB strings. The worldvolume…

High Energy Physics - Theory · Physics 2007-05-23 E. Bergshoeff , E. Eyras , R. Halbersma , C. M. Hull , Y. Lozano , J. P. van der Schaar

Web test automation techniques often rely on crawlers to infer models of web applications for automated test generation. However, current crawlers rely on state equivalence algorithms that struggle to distinguish near-duplicate pages, often…

Software Engineering · Computer Science 2026-02-24 Kasun Kanaththage , Luigi Libero Lucio Starace , Matteo Biagiola , Paolo Tonella , Andrea Stocco

Binary Neural Networks (BNNs) show promising progress in reducing computational and memory costs but suffer from substantial accuracy degradation compared to their real-valued counterparts on large-scale datasets, e.g., ImageNet. Previous…

Machine Learning · Computer Science 2019-06-21 Joseph Bethge , Haojin Yang , Marvin Bornstein , Christoph Meinel

A new class of warped Anti-de Sitter solutions is found, arising as the near-horizon region of various semi-localized brane intersections. The dual gauge theories of AdS in warped spacetimes have reduced supersymmetry, which is pertinent to…

High Energy Physics - Theory · Physics 2007-05-23 J. F. Vazquez-Poritz

Deep Learning for neuroimaging data is a promising but challenging direction. The high dimensionality of 3D MRI scans makes this endeavor compute and data-intensive. Most conventional 3D neuroimaging methods use 3D-CNN-based architectures…

Image and Video Processing · Electrical Eng. & Systems 2021-02-10 Umang Gupta , Pradeep K. Lam , Greg Ver Steeg , Paul M. Thompson

Most classification models treat different object classes in parallel and the misclassifications between any two classes are treated equally. In contrast, human beings can exploit high-level information in making a prediction of an unknown…

Computer Vision and Pattern Recognition · Computer Science 2021-04-28 Kaidong Li , Nina Y. Wang , Yiju Yang , Guanghui Wang
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