• Denoising Task-Based Functional Magnetic Resonance Imaging Data Using Hybrid Deep Neural Network Model 

  Kashfolayat, Sahar (2022-06-17)

  Error management is one of the most important concerns in medical science. A doctor's ability to make an accurate diagnosis can save a patient's life. Therefore, it is essential that doctors have access to accurate medical ...
• Blockchain-based Data Sharing of Vehicle Passports 

  Saqib, Mohammed Fattah (2022-05-30)

  Cryptocurrency has been one of the sectors which arguably saw the biggest technological innovation in the past decade. The technology behind this new revolution is called blockchain and it has the potential to innovate ...
• Dimensional Analysis of Data Flow Programs 

  Shennat, Abdulmonem Ibrahim (2022-05-24)

  Our main objective is to design Dimensional Analysis (DA) algorithms for the multidimensional dialect PyLucid of Lucid, the equational data flow language. The significance is that the DA is indispensable for an efficient ...
• Evaluation of network inference algorithms and their effects on network analysis for the study of small metabolomic data sets 

  Greenyer, Haley (2022-05-24)

  Motivation: Alzheimer’s Disease (AD) is a highly prevalent, neurodegenerative disease which causes gradual cognitive decline. As documented in the literature, evi- dence has recently mounted for the role of metabolic ...
• Quantum Dot Self-Assembly Enables Low-Threshold Lasing 

  Zhou, Chun; Pina, Joao M.; Zhu, Tong; Parmar, Darshan H.; Chang, Hao; Yu, Jie; Yuan, Fanglong; Bappi, Golam; Hou, Yi; Zheng, Xiaopeng; Abed, Jehad; Chen, Hao; Zhang, Jian; Gao, Yuan; Chen, Bin; Wang, Ya-Kun; Chen, Haijie; Zhang, Tianju; Hoogland, Sjoerd; Saidaminov, Makhsud I. (Advanced Science, 2021-10)

  Perovskite quantum dots (QDs) are of interest for solution-processed lasers; however, their short Auger lifetime has limited lasing operation principally to the femtosecond temporal regime the photoexcitation levels to ...
• Quantifying Streamflow Depletion from Groundwater Pumping: A Practical Review of Past and Emerging Approaches for Water Management 

  Zipper, Samuel C.; Farmer, William H.; Brookfield, Andrea; Ajami, Hoori; Reeves, Howard W.; Wardropper, Chloe; Hammond, John C.; Gleeson, Tom; Deines, Jillian M. (Journal of the American Water Resources Association, 2022-04)

  Groundwater pumping can cause reductions in streamflow (“streamflow depletion”) that must be quantified for conjunctive management of groundwater and surface water resources. However, streamflow depletion cannot be measured ...
• Performance Analysis of a Graph-based Anomaly Detector and the Zeek Intrusion Detection System 

  Roshandel, Somayeh (2022-05-16)

  Due to the increase in the number of cyber security attacks and malicious behaviours, different sectors of society are required to mitigate the risk of being targeted by threat actors. Network Intrusion Detection Systems ...
• Nanostructured metals for enhanced light-matter interaction with nanoscale materials: design, sensing and single photon emitters 

  Sharifi, Zohreh (2022-05-16)

  Plasmonics have been used to enhance the interaction of light with metallic nanostructures and lanthanide-doped upconversion nanocrystals. This enhancement can be achieved by using specific structures, materials, and ...
• Comparative Analysis of Machine Learning and Sequential Deep learning Models in Higher Education Fundraising 

  Umeki, Atsuko (2022-05-09)

  Deep learning models have been used widely in various areas and applications of our everyday lives. They could also change the way non-profit organizations work and help optimize fundraising results. In this thesis, ...
• Nanostructured Thin Films Prepared by Planetary Ball Milling: Fabrication, Characterization and Applications 

  Sapkota, Raju (2022-05-05)

  Planetary ball milling (PBM) is a well-known technique for efficient size reduction and homogenization of materials that has been used for many decades in various engineering and industrial processes. More recently, it ...
• Estimation of Cutting Forces in Vibration Assisted Drilling System Using Augmented Kalman Filter 

  Nadeem, Kashif (2022-05-04)

  Vibration assisted drilling (VAD) is a type of machining process in which high-frequency vibrations with a small amplitude are induced in the cutting tool to improve the cutting process of hard and brittle materials. These ...
• 3D bioprinting of human induced pluripotent stem cells derived neural progenitors using bioinks containing drug-releasing microspheres 

  Sharma, Ruchi (2022-05-03)

  Tissue engineering employs biological and engineering principles to create functional substitutes for damaged tissue by combining biomaterial scaffolds with drug delivery devices. 3D (three-dimensional) bioprinting has ...
• A smart autoflight control system infrastructure 

  Heinemann, Stephan (2022-05-02)

  Connected aviation, the Internet of Flying Things and related emerging technologies, such as the System-Wide Information Management infrastructure of the FAA NextGen program, present numerous opportunities for the aviation ...
• Dynamic allocation of resources using machine learning and quantile regression by harnessing the power of software defined networks 

  Alutaibi, Ahmed (2022-05-02)

  In the last decade, data networks have shifted from the static deployment of resources to a dynamic approach. With the help of Software Defined Networks (SDN) and Network Function Visualization (NFV), information and data ...
• Intrusion Detection Using Machine Learning 

  Janwari, Adnan Athar (2022-05-02)

  Since the phenomenal growth in the usage of computer networks, concerns such as service availability, data integrity, and data confidentiality are becoming increasingly important. As a result, the network administrator ...
• Optimal energy management strategies for electric vehicles: advanced control and learning-based perspectives 

  Zhang, Qian (2022-05-02)

  Motivated by the goal of transition to a zero-carbon-emission-based economy for climate change mitigation, electrification opportunities are more promising in the transportation sector. Electric Vehicles (EVs) are at the ...
• User Concern in App Reviews, a study of perceived privacy violation among user sentiments and other contribute factors 

  Cheng, Yue (2022-05-02)

  Privacy, a significant factor in software usage, also provides software developers with additional insights into how applications can be improved. However, it is a delicate matter that peeks into user behaviour to the ...
• Visual Analysis of Spam Campaigns based on Network Modelling 

  Patel, Chitrarth (2022-05-01)

  With the growing Internet use, spamming methods have evolved, and attackers have modernized the attack strategies, making them more scalable using botnets. Botnets play a crucial role in spreading these spam email campaigns. ...
• Twenty-six moment equations for the Enskog-Vlasov equation 

  Struchtrup, Henning; Frezzotti, Aldo (2022-04-29)

  The Enskog–Vlasov equation is a phenomenological kinetic equation that extends the Enskog equation for the dense (non-ideal) hard-sphere fluid by adding an attractive soft potential tail to the purely repulsive hard-sphere ...
• Design and Development of a Lab-Scale Wildfire Ember Simulator 

  Sawant, Aniruddh (2022-04-29)

  Wildfires can be caused by natural phenomena like lightning or can be man-made. This fire can spread rapidly destroying forests and urban wildlands. One of the main causes for the spread of wildfires is embers or firebrands. ...

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