Classifier based incremental reconstruction of human object trajectory in live video streams by Afzal, Muhammad Majid

“…Our aim in this research is to exploit the variety of parameters of this process - development of the data processing model, features extracted from the data and algorithms of the machine learning. This research addresses the problem of reconstructing moving object trajectories for real-time video analytics based on continuous processing of input video streams with application to a wide range of tasks in video surveillance. …”
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RC4A stream cipher for WLAN security: a hardware approach by Al Noman, Abdullah, Mohd Sidek, Roslina, Ramli, Abdul Rahman, Ali, Md. Liakot

“…WEP has a potential limitation that stems from its adaptation of RC4 stream cipher algorithm. As a result, there is a pressing need for new WLAN security measure. …”
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A review on big data stream processing applications: contributions, benefits, and limitations by Ahmed Alwaisi, Shaimaa Safaa, Abbood, Maan Nawaf, Jalil, Luma Fayeq, Kasim, Shahreen, Mohd Fudzee, Mohd Farhan, Hadi, Ronal, Ismail, M. A.

“…In the era of big data, the efficient processing and analysis of big data using machine learning algorithm is highly required, especially when the data comes in form of streams. …”
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Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things by Hadi, Ahmed Adnan

“…On the other hand, existing stream data learning models with limited labelling have many limitations. …”
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Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams by Pratama, Mahardhika, Wang, Dianhui

“…Numerical evaluation and comparison with prominent data stream algorithms under two procedures: periodic hold-out and prequential test-then-train processes demonstrate the advantage of proposed methodology.…”
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An incremental construction of deep neuro fuzzy system for continual learning of nonstationary data streams by Pratama, Mahardhika, Pedrycz, Witold, Webb, Geoffrey I.

“…Fuzzy rules can be automatically extracted from data streams or removed if they play limited role during their lifespan. …”
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CC_TRS: continuous clustering of trajectory stream data based on micro cluster life by Abdulrazzaq, Musaab Riyadh, Mustapha, Norwati, Sulaiman, Md. Nasir, Mohd Sharef, Nurfadhlina

“…In this article, an algorithm for Continuous Clustering of Trajectory Stream Data Based on Micro Cluster Life is proposed. …”
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Video streaming over wireless LAN using scalable extension of H.264/AVC by Maarif, Haris Al Qodri, Gunawan, Teddy Surya

“…This paper deals with encoding process of the Fine-Grain SNR Scalability (FGS) scheme with two enhancement layers for enhancing the streaming video quality over wireless LAN. The scalable video coding algorithm has been implemented and simulated with various parameters in various wireless LAN conditions. …”
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Energy-aware task scheduling for streaming applications on NoC-based MPSoCs by Abd Ishak, Suhaimi Abd Ishak, Wu, Hui, Tariq, Umair Ullah

“…Streaming applications are being extensively run on portable embedded systems, which are battery-operated and with limited memory. …”
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Relay suitability based routing protocol for video streaming in vehicular ad-hoc network by Omar Abdulmaged, Hammood

“…Video streaming in Vehicular Ad Hoc Networks (VANETs) can be utilize for roadside emergency and smart video surveillance services. …”
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Impact of CQI feedback rate/delay on scheduling video streaming services in LTE downlink by Basukala, Riyaj, Mohd. Ramli, Huda Adibah, Sandrasegaran, Kumbesan, Chen, Lu

“…This paper analyses the impact of channel quality indicator (CQI) delay and its aperiodic reporting rate on the performance of a well known scheduling algorithm serving video streaming users at different velocities. …”
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RESP: Relay suitability-based routing protocol for video streaming in vehicular Ad Hoc Networks by Hammood, Omar A., M. N. M., Kahar, Mohammed, Muamer N.

“…To ensure the reliability while extending the scalability of routing, the relay suitability metric integrates the packet delay, collision dropping, link stability, and the Expected Transmission Count (ETX) in the weighted division algorithm, and selects a high-quality forwarding node for video streaming. …”
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IoT-based Machine Learning Comparative Models of Stream Water Parameters Forecasting for Freshwater Lobster by Bakhit, Abdelmoneim Ahmed, Nur Syahirah, Mohd Sabli, Mohd Faizal, Jamlos, Mohd Aminudin, Jamlos, N. H., Ramli, Muhammad Aqil, Hafizzan Nordin, Alhaj, Nura Abdalrhman, Ali, Ehtesham

“…Previously, ARIMA, Neural Network Autoregressive (NNETAR), and Naïve Bayes, were run and evaluated in R Studio to identify the best algorithm for stream analytics. Prediction procedure in R studio start with importing real-time data stored in SQL database and stream into R Studio using command of “dbGetQuery(con,sql)”. …”
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Continuous media (CM) data stream in flash-based solid state disk (SSD) storage server by Abdul Rahiman, Amir Rizaan, Ab. Karim, Mohd Bazli

“…The surveys have brought out its essential demand for replacing the classical storage devices (e.g, Magnetic disk) in a multimedia streaming server such as a Video-On-Demand (VOD) server. …”
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Grade prediction from multi-valued click-stream traces via Bayesian-regularized deep neural networks by Ng, Kelvin Hongrui, Tatinati, Sivanagaraja, Khong, Andy Wai Hoong

“…As opposed to existing deep neural network based grade prediction models, the proposed algorithm is able to capture the uncertainty associated with each click-stream sequence. …”
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A multiple pattern complex event detection scheme based on decomposition and merge sharing for massive event streams by Wang, Jianhua, Ji, Bang, Lin, Feng, Lu, Shilei, Lan, Yubin, Cheng, Lianglun

“…Quickly detecting related primitive events for multiple complex events from massive event stream usually faces with a great challenge due to their single pattern characteristic of the existing complex event detection methods. …”
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Budget-efficient viral video distribution over online social networks : mining topic-aware influential users by Hu, Han, Wen, Yonggang, Feng, Shanshan

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Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq by Yaseen, Z.M., Jaafar, O., Deo, R.C., Kisi, O., Adamowski, J., Quilty, J., El-Shafie, A.

“…Based on the partial autocorrelation functions of historical stream-flow data, a set of five input combinations with lagged stream-flow values are employed to establish the best forecasting model. …”

Investigation on image-based distance estimation algorithm by Yang, Shaobo

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Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems by Nazif, Habibeh

“…This thesis focuses on the development of a new stream of crossover within genetic algorithms, called Optimised Crossover Genetic Algorithm (OCGA) for solving combinatorial optimisation problems, which takes into account the objective function in finding the best ofspring solution among an exponentially large number of potential ofspring. …”
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