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Sleeper's Attendance
Sleeper's Attendance is a paper describing a method to be used on a University's attendance system that can essentially bypass it and allow the attacker to register for all their classes. The paper also briefly describes about QR attendance systems in general and some ways to improve it.
Chia Jason, Hor Sui Lyn

Avance Proyecto Integrador 2018B
Avance previo de un proyecto para la universidad.
Javier García

Literature Review On Automated IDS
This is a review of journals in the area
of using Artificial Intelligence for Intrusion Detection
and Prevention Systems. The journals have discussed the
milestones that have been achieved in the area of network
security particularly intrusion detection. They has also
highlighted several Machine Learning algorithms that
can be applied in this area to improve the IDS systems.
Narshion Ngao

Emmy Noether
Short biography of mathematician Emmy Noether
Theresa Dewa

NanoJ: a high-performance open-source super-resolution microscopy toolbox
Super-resolution microscopy has become essential for the study of nanoscale biological processes. This type of imaging often requires the use of specialised image analysis tools to process a large volume of recorded data and extract quantitative information. In recent years, our team has built an open-source image analysis framework for super-resolution microscopy designed to combine high performance and ease of use. We named it NanoJ - a reference to the popular ImageJ software it was developed for. In this paper, we highlight the current capabilities of NanoJ for several essential processing steps: spatio-temporal alignment of raw data (NanoJ-Core), super-resolution image reconstruction (NanoJ-SRRF), image quality assessment (NanoJ-SQUIRREL), structural modelling (NanoJ-VirusMapper) and control of the sample environment (NanoJ-Fluidics). We expect to expand NanoJ in the future through the development of new tools designed to improve quantitative data analysis and measure the reliability of fluorescent microscopy studies.
Romain F. Laine, Kalina L. Tosheva, Nils Gustafsson, Robert D. M. Gray, Pedro Almada, David Albrecht, Gabriel T. Risa, Fredrik Hurtig, Ann-Christin Lindås, Buzz Baum, Jason Mercer, Christophe Leterrier, Pedro M. Pereira, Siân Culley, Ricardo Henriques

Development of a Chemical Oxidizer Tank Model for Hybrid Rocket Engines
This paper documents a numerical model, developed for the McGill Rocket Team based on classical chemical thermodynamics coupled with the Trebble-Bishnoi equation of state, to solve for the oxidizer tank conditions (pressure, temperature, mole flowrate and liquid/vapour equilibrium) during the operation of a hybrid rocket. This model is modular and can be coupled to fluid mechanics and combustion chamber models for a more detailed analysis of a hybrid rocket engine.
Liem Dam-Quang

Lizhen Zhu's Résumé
Lizhen Zhu's Resume
Created with the Friggeri CV template
Lizhen Zhu

CONVOLUTIONAL NEURAL NETWORKS FOR FACICAL EMOTION RECOGNITION
Final Project of the course named Scientific Researching Method.
Our project was about emotional recognition
Thien Nu Hoang, Anh Quoc Pham, Hoang Anh Le

CV of Oliver Fabiyi
CV for french version
Created with the Friggeri CV template
Oliver Fabiyi