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Results for "Talha Ongun"

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Paired 3D Model Generation with Conditional Generative Adversarial NetworksAug 09 2018Generative Adversarial Networks (GANs) are shown to be successful at generating new and realistic samples including 3D object models. Conditional GAN, a variant of GANs, allows generating samples in given conditions. However, objects generated for each ... More
High-performance planar nanoscale dielectric capacitorsMay 30 2015We propose a model for planar nanoscale dielectric capacitor consisting of a single layer, insulating hexagonal boron nitride (BN) stripe placed between two metallic graphene stripes, all forming commensurately a single atomic plane. First-principles ... More
On Designing Machine Learning Models for Malicious Network Traffic ClassificationJul 10 2019Machine learning (ML) started to become widely deployed in cyber security settings for shortening the detection cycle of cyber attacks. To date, most ML-based systems are either proprietary or make specific choices of feature representations and machine ... More
Attribution of Responsibility and Blame Regarding a Man-made Disaster: #FlintWaterCrisisOct 11 2016Attribution of responsibility and blame are important topics in political science especially as individuals tend to think of political issues in terms of questions of responsibility, and as blame carries far more weight in voting behavior than that of ... More
Future semantic segmentation of time-lapsed videos with large temporal displacementDec 27 2018An important aspect of video understanding is the ability to predict the evolution of its content in the future. This paper presents a future frame semantic segmentation technique for predicting semantic masks of the current and future frames in a time-lapsed ... More
Nanoscale Dielectric Capacitors Composed of Graphene and Boron Nitride Layers: A First Principles Study of High-Capacitance at NanoscaleJul 29 2013We investigate a nanoscale dielectric capacitor model consisting of two-dimensional, hexagonal h-BN layers placed between two commensurate and metallic graphene layers using self-consistent field density functional theory. The separation of equal amounts ... More
Size dependence in the stabilities and electronic properties of α -graphyne and its BN analogueJan 11 2013Jan 28 2013We predict the stabilities of \alpha-graphynes and their boron nitride analogues(\alpha-BNyne), which are considered as competitors of graphene and two-dimensional hexagonal BN. Based on first-principles plane wave method, we investigated the stability ... More
Self-assembly mechanisms of short atomic chains on single layer graphene and boron nitrideOct 05 2012Nucleation and growth mechanisms of short chains of carbon atoms on single-layer, hexagonal boron nitride (h-BN), and short BN chains on graphene are investigated using first-principles plane wave calculations. Our analysis starts with the adsorption ... More
Attribution of Responsibility and Blame Regarding a Man-made Disaster: #FlintWaterCrisisOct 11 2016Nov 01 2016Attribution of responsibility and blame are important topics in political science especially as individuals tend to think of political issues in terms of questions of responsibility, and as blame carries far more weight in voting behavior than that of ... More
Interactive Function Computation via Polar CodingMay 05 2014Oct 31 2015In a series of papers N. Ma and P. Ishwar (2011-13) considered a range of distributed source coding problems that arise in the context of iterative computation of functions, characterizing the region of achievable communication rates. We consider the ... More
Stable single-layer honeycomb like structure of silicaJun 10 2014Silica or SiO$_2$, the main constituent of earth's rocks has several 3D complex crystalline and amorphous phases, but it does not have a graphite like layered structure in 3D. Our theoretical analysis and numerical calculations from the first-principles ... More
Local Reconstructions of Silicene Induced by AdatomsNov 26 2013The interaction of silicene with Si, C, H, O, Ti atoms along with H$_2$, H$_2$O and O$_2$ molecules are investigated and the induced functionalities thereof are analyzed using first principles density functional theory. Si adatom initially adsorbed at ... More
Learning Where to See: A Novel Attention Model for Automated Immunohistochemical ScoringMar 26 2019Estimating over-amplification of human epidermal growth factor receptor 2 (HER2) on invasive breast cancer (BC) is regarded as a significant predictive and prognostic marker. We propose a novel deep reinforcement learning (DRL) based model that treats ... More
Comments on "Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?"Jan 08 2019In a recently published paper [1], it is shown that deep neural networks (DNNs) with random Gaussian weights preserve the metric structure of the data, with the property that the distance shrinks more when the angle between the two data points is smaller. ... More
Achieving Secrecy Capacity of the Wiretap Channel and Broadcast Channel with a Confidential ComponentOct 13 2014Nov 03 2016The wiretap channel model of Wyner is one of the first communication models with both reliability and security constraints. Capacity-achieving schemes for various models of the wiretap channel have received considerable attention in recent literature. ... More
New Phases of GermaneneJul 15 2014Germanene, a graphene like single layer structure of Ge, has been shown to be stable and recently grown on Pt and Au substrates. We show that a Ge adatom adsorbed to germanene pushes down the host Ge atom underneath and forms a dumbbell structure. This ... More
Epitaxial growth mechanisms of graphene and effects of substratesFeb 27 2012Jun 26 2012The growth process of single layer graphene with and without substrate is investigated using ab initio, finite temperature molecular dynamic calculations within density functional theory. An understanding of the epitaxial graphene growth mechanisms in ... More
The Blume-Emery-Griffiths Spin Glass and Inverted Tricritical PointsMar 18 2008Mar 07 2009The Blume-Emery-Griffiths spin glass is studied by renormalization-group theory in d=3. The boundary between the ferromagnetic and paramagnetic phases has first-order and two types of second-order segments. This topology includes an inverted tricritical ... More
Nanoscale Charge Balancing Mechanism in Alkali Substituted Calcium-Silicate-Hydrate GelsOct 01 2016Alkali-activated materials and related alternative cementitious systems are sustainable material technologies that have the potential to substantially lower CO$_2$ emissions associated with the construction industry. However, the impact of augmenting ... More
Superlubricity through graphene multilayers between Ni(111) surfacesMay 14 2013A single graphene layer placed between two parallel Ni(111) surfaces screens the strong attractive force and results in a significant reduction of adhesion and sliding friction. When two graphene layers are inserted, each graphene is attached to one of ... More
Supercapacitors composed of graphene and boron nitride layers: A first-principles studyMar 05 2012Mar 04 2013We propose a model for nanoscale supercapacitor consisting of two-dimensional insulating BN layers placed between two commensurate and metallic graphene layers. First-principles Density Functional calculations of structure optimized total energy and self-consistent ... More
Construction of polar codes for arbitrary discrete memoryless channelsMar 18 2016Sep 29 2017It is known that polar codes can be efficiently constructed for binary-input channels. At the same time, existing algorithms for general input alphabets are less practical because of high complexity. We address the construction problem for the general ... More
A Facile Approach to Prepare Self-Assembled, Nacre-Inspired Clay/Polymer Nano-CompositesAug 12 2018Nature provides many paradigms for the design and fabrication of artificial composite materials. Inspired by the relationship between the well-ordered architecture and biopolymers found in natural nacre, we present a facile strategy to construct large-scale ... More
Optimal voltage control using singular value decomposition of fast decoupled load flow jacobianAug 06 2018The problem of regulating voltages within the required limits is complicated by the fact that power system supplies power to a vast number of loads and is fed from many generating units. As loads vary, reactive power requirements of the transmission system ... More
The Maximum Traveling Salesman Problem with Submodular RewardsSep 17 2012Sep 24 2012In this paper, we look at the problem of finding the tour of maximum reward on an undirected graph where the reward is a submodular function, that has a curvature of $\kappa$, of the edges in the tour. This problem is known to be NP-hard. We analyze two ... More
A deep learning approach to solar-irradiance forecasting in sky-videosJan 15 2019Ahead-of-time forecasting of incident solar-irradiance on a panel is indicative of expected energy yield and is essential for efficient grid distribution and planning. Traditionally, these forecasts are based on meteorological physics models whose parameters ... More
Construction of polar codes for arbitrary discrete memoryless channelsMar 18 2016It is known that polar codes can be efficiently constructed for binary-input channels. At the same time, existing algorithms for general input alphabets are less practical because of high complexity. We address the construction problem for the general ... More
Approximation Algorithms for Max-Morse MatchingApr 16 2016Apr 22 2016In this paper, we prove that the Max-Morse Matching Problem is approximable, thus resolving an open problem posed by Joswig and Pfetsch. We describe two different approximation algorithms for the Max-Morse Matching Problem. For $D$-dimensional simplicial ... More
Self healing of vacancy defects in single layer graphene and siliceneAug 01 2013Self healing mechanisms of vacancy defects in graphene and silicene are studied using first principles calculations. We investigated host adatom adsorption, diffusion, vacancy formation and revealed atomistic mechanisms in the healing of single, double ... More
Dissociative Adsorption of Molecules on Graphene and SiliceneOct 31 2014We study the interaction of H$_2$, O$_2$, CO, H$_2$O and OH molecules with the vacancy defects of graphene and silicene. Atoms around the bare vacancy reconstruct and specific chemically active sites are created. While H$_2$, O$_2$ and CO remain intact ... More
Wirelessly Powered Communication Networks with Short PacketsOct 24 2016Wirelessly powered communications will entail short packets due to naturally small payloads, low-latency requirements and/or insufficient energy resources to support longer transmissions. In this paper, a wirelessly powered communication system is investigated ... More
Millimeter Wave Energy HarvestingSep 05 2015Apr 09 2016The millimeter wave (mmWave) band, which is a prime candidate for 5G cellular networks, seems attractive for wireless energy harvesting. This is because it will feature large antenna arrays as well as extremely dense base station (BS) deployments. The ... More
Etude experimentale et theorique du mouvement des gouttes immiscibles dans un milieu continu au reposJun 26 2009The problem of the movement of the drops in a continuous environment represents a fundamental step for the study of two phases flows. Their domains of application are enormous as: the combustion of the rooms of the machines thermal, extraction of a liquid ... More
On Wirelessly Powered Communications with Short PacketsSep 16 2016Wireless-powered communications will entail short packets due to naturally small payloads, low latency requirements and/or insufficient energy resources to support longer transmissions. In this paper, a wireless-powered communication system is investigated ... More
Adsorption of Group-IV Elements on Graphene, Silicene, Germanene, Stanene: Dumbbell FormationDec 10 2014Silicene and germanene derivatives constructed from periodic dumbbell units play a crucial role in multilayers of these honeycomb structures. Using first-principles calculations based on density functional theory, here we investigate the dumbbell formation ... More
Effects of charging and electric field on the properties of silicene and germaneneJun 25 2013Using first-principles Density Functional Theory calculations, we showed that electronic and magnetic properties of bare and Ti adatom adsorbed single-layer silicene and germanene, which are charged or exerted by a perpendicular electric field are modified ... More
Tin monochalcogenide heterostructures as mechanically rigid infrared bandgap semiconductorsMar 28 2018Based on first-principles density functional calculations, we show that SnS and SnSe layers can form mechanically rigid heterostructures with the constituent puckered or buckled monolayers. Due to the strong interlayer coupling, the electronic wavefunctions ... More
Silicite: the layered allotrope of siliconJul 30 2014Based on first-principles calculation we predict two new thermodynamically stable layered-phases of silicon, named as silicites, which exhibit strong directionality in the electronic and structural properties. As compared to silicon crystal, they have ... More
Wirelessly Powered Communication Networks with Short PacketsOct 24 2016Nov 01 2016Wirelessly powered communications will entail short packets due to naturally small payloads, low-latency requirements and/or insufficient energy resources to support longer transmissions. In this paper, a wirelessly powered communication system is investigated ... More
Seizure Detection using Least EEG Channels by Deep Convolutional Neural NetworkJan 14 2019This work aims to develop an end-to-end solution for seizure onset detection. We design the SeizNet, a Convolutional Neural Network for seizure detection. To compare SeizNet with traditional machine learning approach, a baseline classifier is implemented ... More
Attack vulnerability of power systems under an equal load redistribution modelApr 04 2018This paper studies the vulnerability of flow networks against adversarial attacks. In particular, consider a power system (or, any system carrying a physical flow) consisting of $N$ transmission lines with initial loads $L_1, \ldots , L_N$ and capacities ... More
Towards a Cybernetic Foundation for Natural Resource GovernanceMar 20 2018This study explores the potential of the cybernetic method of inquiry for the problem of natural resource governance. The systems way of thinking has already enabled scientists to gain considerable headway in framing global environmental challenges. On ... More
New approach to generalized Mittag-Leffler function via quantum calculusJan 15 2019We aim to introduce a new extension of Mittag-Leffler function via q-analogue and obtained their significant properties including integral representation, q-differentiation, q-Laplace transform, image formula under q-derivative operators. We also consider ... More
Millimeter Wave Energy HarvestingSep 05 2015Mar 11 2017The millimeter wave (mmWave) band, which is a prime candidate for 5G cellular networks, seems attractive for wireless energy harvesting. This is because it will feature large antenna arrays as well as extremely dense base station (BS) deployments. The ... More
Super-resolution channel estimation for mmWave massive MIMO with hybrid precodingMay 16 2017Jul 08 2018Channel estimation is challenging for millimeter-wave (mmWave) massive MIMO with hybrid precoding, since the number of radio frequency (RF) chains is much smaller than that of antennas. Conventional compressive sensing based channel estimation schemes ... More
Stability and Sustainability of Resource Consumption NetworksJan 10 2019In this paper, we examine both stability and sustainability of a network-based model of natural resource consumption. Stability is studied from a dynamical systems perspective, though we argue that sustainability is a fundamentally different notion from ... More
A Communication-less Protection Strategy to Ensure Protection Coordination of Distribution Networks with Embedded DGJun 14 2019Distributed Generation (DG) has emerged as best alternative to conventional energy sources in recent times. Decentralization of power generation, improvement in voltage profile and reduction of system losses are some of key benefits of DG integration ... More
Experimental Investigation of Stub Resonators Built in Plasmonic Slot WaveguidesJan 09 2017Mar 08 2017In this work, we focus on stub resonators embedded in plasmonic slot waveguides. The resonators have potential applications in optical interconnects and sensors. We fabricate the samples by electron beam lithography and lift-off. We use a scattering matrix ... More
Electrical control of inter-layer excitons in van der Waals heterostructuresSep 25 2017We investigate excitons in stacked transition metal dichalcogenide (TMDC) layers under perpendicularly applied electric field, herein MoSe$_2$/WSe$_2$ van der Waals heterostructures. Band structures are obtained with density functional theory calculations, ... More
Band Alignment of 2D Semiconductors for Designing Heterostructures with Momentum Space MatchingMar 08 2016Mar 24 2016We present a comprehensive study of the band alignments of two-dimensional (2D) semiconducting materials and highlight the possibilities of forming momentum-matched type I, II and III heterojunctions; an enticing possibility being atomic heterostructures ... More
Tunable colloidal photonic crystalsAug 19 2018Aug 22 2018Spherical colloids arranged in a crystalline order are known to produce structural colors. The intensity and brilliance of such photonic crystals require high size-monodispersity of the colloids, a low number of lattice defects and disorder, as well as ... More
Drying-Induced Atomic Structural Rearrangements in Sodium-Based Calcium-Alumino-Silicate-Hydrate Gel and the Mitigating Effects of ZrO$_2$ NanoparticlesNov 28 2017Conventional drying of colloidal materials and gels (including cement) can lead to detrimental effects due to the buildup of internal stresses as water evaporates from the nano/microscopic pores. However, the underlying nanoscopic alterations in these ... More
Infrared fingerprints of few-layer black phosphorusJul 27 2016Feb 05 2017Black phosphorus is an infrared layered material. Its bandgap complements other widely studied two-dimensional materials: zero-gap graphene and visible/near-infrared gap transition metal dichalcogenides. Though highly desirable, a comprehensive infrared ... More
Generative Adversarial Network for Medical Images (MI-GAN)Oct 01 2018Deep learning algorithms produces state-of-the-art results for different machine learning and computer vision tasks. To perform well on a given task, these algorithms require large dataset for training. However, deep learning algorithms lack generalization ... More
Leveraging Unlabeled Whole-Slide-Images for Mitosis DetectionJul 31 2018Mitosis count is an important biomarker for prognosis of various cancers. At present, pathologists typically perform manual counting on a few selected regions of interest in breast whole-slide-images (WSIs) of patient biopsies. This task is very time-consuming, ... More
Fast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional FeaturesMay 09 2018Tumor segmentation in whole-slide images of histology slides is an important step towards computer-assisted diagnosis. In this work, we propose a tumor segmentation framework based on the novel concept of persistent homology profiles (PHPs). For a given ... More
The atomic structure of the $\sqrt{3} \times \sqrt{3}$ phase of silicene on Ag(111)Jul 11 2014The growth of the $\sqrt{3} \times \sqrt{3}$ reconstructed silicene on Ag substrate has been frequently observed in experiments while its atomic structure and formation mechanism is poorly understood. Here by first-principles calculations we show that ... More
A Stochastic Geometry Analysis of Large-scale Cooperative Wireless Networks Powered by Energy HarvestingNov 11 2015Energy harvesting is a technology for enabling green, sustainable, and autonomous wireless networks. In this paper, a large-scale wireless network with energy harvesting transmitters is considered, where a group of transmitters forms a cluster to cooperatively ... More
Copper-Doped Colloidal Semiconductor Quantum Wells for Luminescent Solar ConcentratorsJun 21 2016Doping of bulk semiconductors has revealed widespread success in optoelectronic applications. In the past few decades, substantial effort has been engaged for doping at the nanoscale. Recently, doped zero-dimensional quantum dots made of semiconductor ... More
Inducing transparency in the films of highly scattering particlesJun 29 2018Today colloids are employed in various products from creams and coatings to electronics. The ability to control their chemical, optical, or electronic features by controlling their size and shape explains why these materials are so widely employed. Nevertheless, ... More
5G New Radio Evolution Meets Satellite Communications: Opportunities, Challenges, and SolutionsMar 27 2019The 3rd generation partnership project (3GPP) completed the first global 5th generation (5G) new radio (NR) standard in its Release 15, paving the way for making 5G a commercial reality. So, what is next in NR evolution to further expand the 5G ecosystem? ... More
Symmetry induced stability in alkali doped calcium-silicate-hydrateOct 11 2018CO$_2$ emissions originating from the construction industry have a significant impact on global warming where the production of ordinary Portland cement clinker is responsible for approximately 8\% of all human-made CO$_2$. Alkali doped calcium-silicate-hydrate ... More
Highly surface-active Ca(OH)$_2$ monolayer as a CO$_2$ capture materialNov 28 2017Greenhouse gas emissions originating from fossil fuel combustion contribute significantly to global warming, and therefore the design of novel materials that efficiently capture CO$_2$ can play a crucial role in solving this challenge. Here, we show that ... More
Vision and Learning for Deliberative Monocular Cluttered FlightNov 24 2014Cameras provide a rich source of information while being passive, cheap and lightweight for small and medium Unmanned Aerial Vehicles (UAVs). In this work we present the first implementation of receding horizon control, which is widely used in ground ... More
Enhanced interlayer neutral excitons and trions in trilayer van der Waals heterostructuresJun 19 2017Sep 17 2018Vertically stacked van der Waals heterostructures constitute a promising platform for providing tailored band alignment with enhanced excitonic systems. Here we report observations of neutral and charged interlayer excitons in trilayer WSe2-MoSe2-WSe2 ... More
Stability of Leaderless Resource Consumption NetworksApr 11 2018In this paper, we study the global stability properties of a multi-agent model of natural resource consumption that balances ecological and social network components in determining the consumption behavior of a group of agents. The social network is assumed ... More
Methods for Segmentation and Classification of Digital Microscopy Tissue ImagesOct 31 2018Nov 16 2018High-resolution microscopy images of tissue specimens provide detailed information about the morphology of normal and diseased tissue. Image analysis of tissue morphology can help cancer researchers develop a better understanding of cancer biology. Segmentation ... More
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer TissuesMay 23 2017Jul 24 2017Evaluating expression of the Human epidermal growth factor receptor 2 (Her2) by visual examination of immunohistochemistry (IHC) on invasive breast cancer (BCa) is a key part of the diagnostic assessment of BCa due to its recognised importance as a predictive ... More
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challengeJul 22 2018Tumor proliferation is an important biomarker indicative of the prognosis of breast cancer patients. Assessment of tumor proliferation in a clinical setting is highly subjective and labor-intensive task. Previous efforts to automate tumor proliferation ... More
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challengeJul 22 2018Mar 29 2019Tumor proliferation is an important biomarker indicative of the prognosis of breast cancer patients. Assessment of tumor proliferation in a clinical setting is highly subjective and labor-intensive task. Previous efforts to automate tumor proliferation ... More