Search Results - "Anjum, Ashiq"

Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study by Erhan, Laura, Di Mauro, Mario, Anjum, Ashiq, Bagdasar, Ovidiu, Song, Wei, Liotta, Antonio

“…Recent developments in cloud computing and the Internet of Things have enabled smart environments, in terms of both monitoring and actuation. Unfortunately,…”
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Automated visual quality assessment for virtual and augmented reality based digital twins by Roullier, Ben, McQuade, Frank, Anjum, Ashiq, Bower, Craig, Liu, Lu

“…Virtual and augmented reality digital twins are becoming increasingly prevalent in a number of industries, though the production of digital-twin systems…”
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Data Temperature Informed Streaming for Optimising Large-Scale Multi-Tiered Storage by Davies-Tagg, Dominic, Anjum, Ashiq, Zahir, Ali, Liu, Lu, Yaseen, Muhammad Usman, Antonopoulos, Nick

“…Data temperature is a response to the ever-growing amount of data. These data have to be stored, but they have been observed that only a small portion of the…”
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Machine-Learning-Based Side-Channel Evaluation of Elliptic-Curve Cryptographic FPGA Processor by Mukhtar, Naila, Mehrabi, Mohamad, Kong, Yinan, Anjum, Ashiq

“…Security of embedded systems is the need of the hour. A mathematically secure algorithm runs on a cryptographic chip on these systems, but secret private data…”
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The least-used key selection method for information retrieval in large-scale Cloud-based service repositories by Gu, Jiayan, Anjum, Ashiq, Wu, Yan, Liu, Lu, Panneerselvam, John, Lu, Yao, Yuan, Bo

“…As the number of devices connected to the Internet of Things (IoT) increases significantly, it leads to an exponential growth in the number of services that…”
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Blockchain Standards for Compliance and Trust by Anjum, Ashiq, Sporny, Manu, Sill, Alan

“…Cryptocurrency applications of distributed ledger methods such as blockchains are now well established, but their implications for more general topics are just…”
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A Cascade Learning Approach for Automated Detection of Locomotive Speed Sensor Using Imbalanced Data in ITS by Li, Bo, Zhou, Sisi, Cheng, Lifang, Zhu, Rongbo, Hu, Tao, Anjum, Ashiq, He, Zheng, Zou, Yongkai

“…Automatic and intelligent railway locomotive inspection and maintenance are fundamental issues in high-speed rail applications and intelligent transportation…”
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Data Intensive and Network Aware (DIANA) Grid Scheduling by McClatchey, Richard, Anjum, Ashiq, Stockinger, Heinz, Ali, Arshad, Willers, Ian, Thomas, Michael

“…In Grids scheduling decisions are often made on the basis of jobs being either data or computation intensive: in data intensive situations jobs may be pushed…”
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Explaining deep neural networks: A survey on the global interpretation methods by Saleem, Rabia, Yuan, Bo, Kurugollu, Fatih, Anjum, Ashiq, Liu, Lu

“…A substantial amount of research has been carried out in Explainable Artificial Intelligence (XAI) models, especially in those which explain the deep…”
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Cloud-based scalable object detection and classification in video streams by Yaseen, Muhammad Usman, Anjum, Ashiq, Rana, Omer, Hill, Richard

“…Due to the recent advances in cameras, cell phones and camcorders, particularly the resolution at which they can record an image/video, large amounts of data…”
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Congestion prediction for smart sustainable cities using IoT and machine learning approaches by Majumdar, Sharmila, Subhani, Moeez M., Roullier, Benjamin, Anjum, Ashiq, Zhu, Rongbo

“…•Vehicle speeds are predicted with long short term memory methods.•Vehicle speed over 5 min timescales are used to predict congestion propagation.•Machine…”
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Intelligent data fusion algorithm based on hybrid delay-aware adaptive clustering in wireless sensor networks by Liu, Xiaozhu, Zhu, Rongbo, Anjum, Ashiq, Wang, Jun, Zhang, Hao, Ma, Maode

“…Data fusion can effectively reduce the amount of data transmission and network energy consumption in wireless sensor networks (WSNs). However the existing data…”
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Edge enhanced deep learning system for IoT edge device security analytics by Mukhtar, Naila, Mehrabi, Ali, Kong, Yinan, Anjum, Ashiq

“…The processing of locally harvested data at the physically accessible edge devices opens a new avenue of security threats for edge enhanced analytics…”
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OPT-CO: Optimizing pre-trained transformer models for efficient COVID-19 classification with stochastic configuration networks by Zhu, Ziquan, Liu, Lu, Free, Robert C., Anjum, Ashiq, Panneerselvam, John

“…Building upon pre-trained ViT models, many advanced methods have achieved significant success in COVID-19 classification. Many scholars pursue better…”
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Edge intelligence‐enabled cyber‐physical systems by Zhu, Rongbo, Anjum, Ashiq, Li, Hongxiang, Ma, Maode

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Towards cloud based big data analytics for smart future cities by Khan, Zaheer, Anjum, Ashiq, Soomro, Kamran, Tahir, Muhammad Atif

“…A large amount of land-use, environment, socio-economic, energy and transport data is generated in cities. An integrated perspective of managing and analysing…”
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Cloud based scalable object recognition from video streams using orientation fusion and convolutional neural networks by Usman Yaseen, Muhammad, Anjum, Ashiq, Fortino, Giancarlo, Liotta, Antonio, Hussain, Amir

“…•This paper pioneers the use of empirical mode decomposition with CNNs, to improve visual object recognition accuracy on challenging video datasets.•We study…”
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Improved Kalman filter based differentially private streaming data release in cognitive computing by Wang, Jun, Luo, Jing, Liu, Xiaozhu, Li, Yongkai, Liu, Shubo, Zhu, Rongbo, Anjum, Ashiq

“…Cognitive computing works well based on volumes of data, which offers the guarantee of unlocking novel insights and data-driven decisions. Steaming data is a…”
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An Inter-Cloud Meta-Scheduling (ICMS) Simulation Framework: Architecture and Evaluation by Sotiriadis, Stelios, Bessis, Nik, Anjum, Ashiq, Buyya, Rajkumar

“…Inter-cloud is an approach that facilitates scalable resource provisioning across multiple cloud infrastructures. In this paper, we focus on the performance…”
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Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds by Yaseen, Muhammad Usman, Anjum, Ashiq, Rana, Omer, Antonopoulos, Nikolaos

“…A system to perform video analytics is proposed using a dynamically tuned convolutional network. Videos are fetched from cloud storage, preprocessed, and a…”
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