Azhar Hussain

ORCID: 0000-0002-3244-0938
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About
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Research Areas
  • Vehicular Ad Hoc Networks (VANETs)
  • Traffic Prediction and Management Techniques
  • Opportunistic and Delay-Tolerant Networks
  • Autonomous Vehicle Technology and Safety
  • Mobile Ad Hoc Networks
  • Traffic control and management
  • Energy Efficient Wireless Sensor Networks
  • Power Line Communications and Noise
  • Transportation Planning and Optimization
  • Privacy-Preserving Technologies in Data
  • Video Surveillance and Tracking Methods
  • Advanced Image Fusion Techniques
  • Drilling and Well Engineering
  • Human Mobility and Location-Based Analysis
  • Seismic Imaging and Inversion Techniques
  • Advanced Wireless Communication Techniques
  • Color Science and Applications
  • Industrial Vision Systems and Defect Detection
  • Time Series Analysis and Forecasting
  • Caching and Content Delivery
  • Image Enhancement Techniques
  • Hydraulic Fracturing and Reservoir Analysis
  • Handwritten Text Recognition Techniques
  • Vehicle Dynamics and Control Systems
  • Transport Systems and Technology

Wirtschaftsförderungsinstitut
2022

Harbin Engineering University
2013-2021

Recently, the advancement in communications, intelligent transportation systems, and computational systems has opened up new opportunities for traffic safety, comfort, efficiency solutions. Artificial intelligence (AI) been widely used to optimize traditional data-driven approaches different areas of scientific research. Vehicle-to-everything (V2X) system together with AI can acquire information from diverse sources, expand driver's perception, predict avoid potential accidents, thus...

10.1109/access.2019.2891073 article EN cc-by-nc-nd IEEE Access 2019-01-01

Edge computing in vehicles is emerging as an essential candidate for the Internet of Vehicles (IoV) to improve traffic efficiency. The proliferation IoV pushes horizon edge computing. social features and connections among are significant efficiency solutions. However, it quite challenging perform collaborative (CEC) systems because network heterogeneity, vehicle mobility, user selfishness, privacy, so on. This article focuses on CEC, system alleviate urban congestion. Recent research reveals...

10.1109/tcss.2021.3074038 article EN IEEE Transactions on Computational Social Systems 2021-05-03

IEEE 802.11p based Dedicated Short-Range Communication (DSRC) is considered a potential wireless technology to enable transportation safety and traffic efficiency. A major challenge in the development of ensuring communication reliability highly dynamic Vehicle-to-Vehicle (V2V) environments. The design does not have sufficient number training symbols time domain pilot carriers frequency accurate estimation rapidly varying V2V channels. channel preamble based, which cannot guarantee suitable...

10.3390/s19010098 article EN cc-by Sensors 2018-12-28

Vehicle surveillance in complex dark traffic scenes has been a key research topic, as the background is dramatically altered due to reflections from headlights on normal, snowy, and rainy roads. Under conditions, vehicle's rear lights are used for foreground extraction. The presented algorithm provides several steps, including detection, pairing, tracking of lights. First, automatically extracted by novel approach called azimuthally blur, which uses exponentially attenuating nature reflected...

10.1109/tvt.2014.2371067 article EN IEEE Transactions on Vehicular Technology 2014-11-15

Traffic congestion is an overwhelming problem faced by road travelers all over the world. A time-efficient and accurate prediction of upcoming traffic can reduce this through enabling proactive planning routes. Recent research suggests that accuracy requires extraction hidden features network from historical data. In general, data either limited (with a longer sampling time) or not provided providers. urban areas, lights, weather conditions, city events, accidents, people's habits...

10.1109/mits.2021.3049383 article EN IEEE Intelligent Transportation Systems Magazine 2021-02-15

Communication protocols in vehicular sensor networks (VSNs) urban areas play an important role intelligent transport systems applications. Many cross-layer communication protocol studies are originated from topology-based algorithms, which is not suitable for the frequently changing computational scenario. In addition, influence factors that have been considered VSNs routing enough. With these aspects mind, this paper proposes a multifactor position-based to improve reliability and...

10.1002/dac.3406 article EN International Journal of Communication Systems 2017-09-06

We consider a system to optimize duration of traffic signals using multi-agent deep reinforcement learning and Vehicle-to-Everything (V2X) communication. This aims at analyzing independent shared rewards for multi-agents control lights. A agent light gets information along its lanes within circular V2X coverage. The cycles are modeled as Markov decision Processes. investigate four variations reward functions. first two unshared-rewards: based on waiting number, time vehicles between light....

10.48550/arxiv.2002.09853 preprint EN cc-by arXiv (Cornell University) 2020-01-01

This paper presents the use of WCDMA techniques in mobile consumer devices based communication system used ad hoc settings. The power aware by listing area/power tradeoffs while deciding different word lengths datapath. is an setting that requires mitigation multi path fading effects system. A hybrid approach for effective equalization and cancellation at receiver presented. implementation technique then optimized low operation. QAM modulation also incorporated high data rate operation...

10.1109/icet.2013.6743544 article EN 2013-12-01

Drilling in tectonically active thrust-fold regions is normally challenging due to pore pressure and wellbore instability problems. Gaining control of these problems can be even more difficult the complex geomechanical behavior formations drilled. This paper presents a case study on how use an iterative geomechanics approach combined with drilling fluid optimization recommendations continuous engagement operator, helped reduce risks costs region Pakistan. The major challenges anticipated...

10.2523/iptc-19717-abstract article EN 2020-01-10
Kamruzzaman Munshi Sally Priester Eugenio Gaudio Fuquan Yang Gianfranco Alpini and 95 more Romina Mancinelli Candace Wise Fanyn Meng Antonio Franchitto Paolo Onori Shannon Glaser Ambra Pozzi Roy Zent Paola Romagnani Catherine Meyer-Schwesinger Claudia Lange Verena Bro Andina Putri Ulrich Agustian Annette Lehmann Martina Raabe Eiji Brinkmeyer Mario Kobayashi Guntram Schiffer Hans Kreipe Friedrich Thaiss Jan U. Becker Cutaneous Neurofibromas Eeva‐Mari Jouhilahti Sirkku Peltonen Tom Callens Elina Jokinen Anthony M. Heape Ludwine Messiaen Juha Peltonen Yi Lin Li Cui Wenjing Wang Shigeru Saito Jiehan Xu Jingfang Di Yanmin Zhong Da-Jin Li Jun Nakamura Yoshihiko Kitajima Keita Kai Kazuyoshi Hashiguchi Masatsugu Hiraki Hirokazu Noshirο Kohji Miyazaki Paula Vainio Santosh K. Gupta Kirsi Ketola Tuomas Mirtti John-Patrick Mpindi Pekka Kohonen Vidal Fey Merja Pera ̈la ̈ Frank Smit Gerald W. Verhaegh Jack A. Schalken Kalle Alanen Olli Kallioniemi Kristiina Iljin Shahab Uddin Maqbool Ahmed Azhar Hussain Jehad Abubaker Nasser Al‐Sanea Alaa Abduljabbar Luai H. Ashari Samar Alhomoud Fouad Al‐Dayel Zeenath Jehan Prashant Bavi Abdul K. Siraj Khawla S. Al‐Kuraya Mitchell J. Frederick Amy VanMeter Mayur A. Gadhikar Ying C. Henderson Hui Yao Curtis R. Pickering Michelle C. Williams Adel K. El‐Naggar Vlad C. Sandulache Emily Tarco Jeffrey L. Myers Gary L. Clayman Lance A. Liotta Emanuel Petricoin Valerie Calvert Valentina Fodale Jing Wang Randal Cardiovascular Noritoshi Kato Tomoki Kosugi Waichi Sato Takuji Ishimoto Hiroshi Kojima

On the Cover: Expression profiles for 35 colorectal carcinomas (red) and 24 noncancerous tissue samples (blue) were examined by microarray followed principal component analysis (shown).From these raw data, forkhead box M1 (FOXM1) gene was identified as a useful molecular biomarker aggressiveness potential therapeutic target.(See page 537.

10.1016/s0002-9440(10)00241-5 article EN cc-by-nc-nd American Journal Of Pathology 2011-01-29

To cope with the increasing information in sensor networks, distributed cooperative computing is used, to exchange and utilize data. However, data each specific network heterogeneous formats semantics. Thus, it a huge conundrum integrate, share interoperate these sub networks. solve above problem, real-time novel Distributed Cooperative model for Isomerism Multi-Sensor (DCIMS), proposed this paper. The DCIMS architecture based on caching forwarding, which can handle massive, semantic stream...

10.1145/3127404.3127417 article EN 2017-09-08
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