880 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Saudi Center for Theoretical PhysicsSA54 papers
- Chouaib Doukkali UniversityMA33 papers
- King Abdullah University of Science and TechnologySA29 papers
- Massachusetts Institute of TechnologyUS17 papers
- Georgia Institute of TechnologyUS16 papers
- King Faisal UniversitySA12 papers
- Shura CouncilSA11 papers
- National University of SingaporeSG9 papers
- Northeastern UniversityUS9 papers
- Academy of Sciences Republic of UzbekistanUZ7 papers
- National University of Sciences and TechnologyPK7 papers
- Quaid-i-Azam UniversityPK7 papers
33 papers · 1 filter
Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP
Sabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky +8
What are the units of text that we want to model? From bytes to multi-word expressions, text can be analyzed and generated at many granularities. Until recently, most natural langu…
Chiral limits and effect of light on the Hofstadter butterfly in twisted bilayer graphene
Nadia Benlakhouy, Ahmed Jellal, Hocine Bahlouli +1
We study the magnetic field induced Hofstadter butterfly in twisted bilayer graphene (TBG) in various kinds of situations. First, we study the equilibrium case and identify the int…
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh, Albert Webson, Colin Raffel +38
Large language models have recently been shown to attain reasonable zero-shot generalization on a diverse set of tasks (Brown et al., 2020). It has been hypothesized that this is a…
Privacy-Preserving Social Distancing Bracelet
Asaad AlGhamdi, Louai Al-Awami
This demo presents a functional Proof-of-Concept prototype of a smart bracelet that utilizes IoT and ML to help in the effort to contain pandemics such as COVID-19. The designed sm…
New Decay Results for a Partially Dissipative Viscoelastic Timoshenko System with Infinite Memory
Shadi Al-Omari
In this paper, we consider the following dissipative viscoelastic with memory-type Timoshenko system \begin{equation*} \begin{gathered} \begin{cases} ρ_1 ϕ_{tt} - κ( ϕ_{x} + ψ) _x…
Geometric Stochastic Filter with Guaranteed Performance for Autonomous Navigation based on IMU and Feature Sensor Fusion
Hashim A. Hashim, Mohammed Abouheaf, Mohammad A. Abido
This paper concerns the estimation problem of attitude, position, and linear velocity of a rigid-body autonomously navigating with six degrees of freedom (6 DoF). The navigation dy…
Deep learning of deformation-dependent conductance in thin films: nanobubbles in graphene
Jack G. Nedell, Jonah Spector, Adel Abbout +2
Motivated by the ever-improving performance of deep learning techniques, we design a mixed input convolutional neural network approach to predict transport properties in deformed n…
Tunneling of Electrons in Graphene via Double Triangular Barrier in External Fields
Miloud Mekkaoui, Ahmed Jellal, Hocine Bahlouli
We study the transmission probability of Dirac fermions in graphene scattered by a triangular double barrier potential in the presence of an external magnetic field. Our system mad…
Unidirectional flow of composite bright-bright solitons through asymmetric double potential barriers and wells
Amaria Javed, T. Uthayakumar, M. O. D. Alotaibi +3
We investigate the dynamics of two component bright-bright (BB) solitons through reflectionless double barrier and double well potentials in the framework of a Manakov system gover…
Meta-Optimization of Deep CNN for Image Denoising Using LSTM
Basit O. Alawode, Motaz Alfarraj
The recent application of deep learning (DL) to various tasks has seen the performance of classical techniques surpassed by their DL-based counterparts. As a result, DL has equally…
Smooth Fano four folds in Gorenstein formats
Muhammad Imran Qureshi
We construct some new deformation families of four-dimensional Fano manifolds of index in some known classes of Gorenstein formats. These families have explicit descriptions in…
Solving the Eikonal equation for compressional and shear waves in anisotropic media using peridynamic differential operator
Ali Can Bekar, Erdogan Madenci, Ehsan Haghighat +2
The traveltime of compressional (P) and shear (S) waves have proven essential in many applications of earthquake and exploration seismology. An accurate and efficient traveltime co…
Nearly constant Q dissipative models and wave equations for general viscoelastic anisotropy
Qi Hao, Stewart Greenhalgh
The quality factor (Q) links seismic wave energy dissipation to physical properties of the Earth's interior, such as temperature, stress and composition. Frequency independence of…
Nearly constant Q models of the generalized standard linear solid type and the corresponding wave equations
Qi Hao, Stewart Greenhalgh
Time-domain seismic forward and inverse modeling for a dissipative medium is a vital research topic to investigate the attenuation structure of the Earth. Constant Q, also called f…
Floquet engineering and non-equilibrium topological maps in twisted trilayer graphene
I. A. Assi, J. P. F. LeBlanc, Martin Rodriguez-Vega +2
Motivated by the recent experimental realization of twisted trilayer graphene and the observed superconductivity that is associated with its flat bands at specific angles, we study…
On the Achievable Max-Min User Rates in Multi-Carrier Centralized NOMA-VLC Networks
Omar Maraqa, Umair F. Siddiqi, Saad Al-Ahmadi +1
Visible light communications (VLC) is gaining interest as one of the enablers of short-distance, high-data-rate applications, in future beyond 5G networks. Moreover, non-orthogonal…
Energy-Efficient mm-Wave Backhauling via Frame Aggregation in Wide Area Networks
Varun Amar Reddy, Gordon L. Stüber, Suhail Al-Dharrab +2
Wide area networks for surveying applications, such as seismic acquisition, have been witnessing a significant increase in node density and area, where large amounts of data have t…
Structural, magnetic, and critical behavior of CrTe_{1-x}Sb_{x} Alloys
M. Kh. Hamad, Yazan Maswadeh, E. Martinez-Teran +2
We investigate the structural and critical properties of CrTe1-xSbx with 0.0 \leq x \leq 0.2. The XRD patterns revealed that Sb-substitution resulted in a pure NiAs-hexagonal struc…
Tunneling in an anisotropic cubic Dirac semi-metal
Ahmed Bouhlal, Ahmed Jellal, Hocine Bahlouli +1
Motivated by a recent first principles prediction of an anisotropic cubic Dirac semi-metal in a real material Tl(TeMo), we study the behavior of electrons tunneling through a p…
Safety Embedded Differential Dynamic Programming Using Discrete Barrier States
Hassan Almubarak, Kyle Stachowicz, Nader Sadegh +1
Certified safe control is a growing challenge in robotics, especially when performance and safety objectives must be concurrently achieved. In this work, we extend the barrier stat…
Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions
Zhenyue Qin, Yiqun Zhang Saeed Anwar, Dongwoo Kim +3
Most existing graph neural networks (GNNs) learn node embeddings using the framework of message passing and aggregation. Such GNNs are incapable of learning relative positions betw…
PINNtomo: Seismic tomography using physics-informed neural networks
Umair bin Waheed, Tariq Alkhalifah, Ehsan Haghighat +2
Seismic traveltime tomography using transmission data is widely used to image the Earth's interior from global to local scales. In seismic imaging, it is used to obtain velocity mo…
Data-driven deep learning algorithms for time-varying infection rates of COVID-19 and mitigation measures
K. D. Olumoyin, A. Q. M. Khaliq, K. M. Furati
Epidemiological models with constant parameters may not capture satisfactory infection patterns in the presence of pharmaceutical and non-pharmaceutical mitigation measures during…
Identification and prediction of time-varying parameters of COVID-19 model: a data-driven deep learning approach
Jie Long, Abdul Khaliq, Khaled Furati
Data-driven deep learning provides efficient algorithms for parameter identification of epidemiology models. Unlike the constant parameters, the complexity of identifying time-vary…