Optimal operation of reverse osmosis desalination process with deep reinforcement learning methods by Arash Golabi (21841484)

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Faux-Data Injection Optimization for Accelerating Data-Driven Discovery of Materials by Abdul Wahab Ziaullah (16027076)

“…The objective of this methodology is to simulate a time-consuming sequential data-gathering process and approximate the next k-potential candidates, quickly. …”

A comprehensive evaluation of photovoltaic simulation software: A decision-making approach using Analytic Hierarchy Process and performance analysis by Md. Ashraful Islam (8985728)

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A Mediation Layer for Connecting Data-Intensive Applications to Reconfigurable Data Nodes by Jomaa, Mohamad

“…One of those challenges is developing approaches and mechanisms that render high performance in processing and storing data. We joined this research effort by proposing a reconfigurable active solid state drives (RASSD) system that deals with such applications, through employing basic hardware, namely FPGA's connected to SSD's, to service the above applications as processing nodes, and take advantage of the close proximity between storage and processing. …”
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Data collection in wireless sensor networks using UAV and compressive data gathering by Ebrahimi, Dariush

“…Among these, massive IoT is standing out with the proliferation of sensors and wearable devices that continuously monitor and transmit data for further processing. This paper proposes a novel data collection technique using Unmanned Aerial Vehicles (UAVs) in dense wireless sensor networks (WSNs) using projection-based Compressive Data Gathering (CDG) as a solution methodology. …”
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Big Stream Processing Systems: An Experimental Evaluation by Shahverdi, Elkhan

“…Real-time processing for such massive amounts of streaming data is a crucial requirement in several application domains including financial markets, surveillance systems, man ufacturing, smart cities, and scalable monitoring infrastructure. …”
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Learning-Based Space-Time Adaptive Processing by El Khatib, Alaa

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Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark by Ameema Zainab (16864263)

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VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems by Hisham A. Kholidy (18891802)

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Scalable parallel algorithms for dynamic programming on tree decomposition. (c2017) by Yassine, Mohamad M.

Subjects: “…Trees (Graph theory) -- Data processing…”
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Fuzzy Logic Based Patients' Monitoring System by Al-Dmour, Jumana

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Practical Multiple Node Failure Recovery in Distributed Storage Systems by Itani, M.

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Modelling and simulation of turning processes by Abdul-Ameer, A.A.

“…The aim of this paper is to analyse the process in physical terms and hence to develop a cutting process model that relates the feed rate and spindle speed to the cutting forces generated. …”
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Sustainability Assessment of Welding Processes by Jamal, Jaber

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Optimizing malicious website prediction: An advanced XGBoost-based machine learning model by Sumaira Hussain (19259669)

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Personal Data and Online Marketing by Ayoub, Jouana

“…This has triggered the enactment of regulations that cover data protection and processing for advertising and commercial purposes. …”
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Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data by Rajesh Kumar Dhanaraj (19646269)

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An Innovative Automatic Indexing Method for Arabic Text by Masri, Nour

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Severity-Based Prioritized Processing of Packets with Application in VANETs by Ala Al-Fuqaha (4434340)

“…The relaxed formulation executes in polynomial time and guarantees a minimum delay per severity-level while respecting the processing rate constraint. To measure the performance of the proposed heuristic, real traffic data is used in a small-scale experiment. …”

Public health utility of cause of death data: applying empirical algorithms to improve data quality by Sarah Charlotte Johnson (9715415)

“…The Global Burden of Disease (GBD) study has developed methods to create comparable, timely, cause-specific mortality estimates; an impactful data processing method is the reallocation of garbage-coded deaths to a plausible underlying cause of death. …”