Use Of Hyperspectral Images (Hsi) And Convolutional Neural Network (Cnn) To Identify Normal, Precancerous And Cancerous Tissues,
2018
Technological University Dublin, Ireland
Use Of Hyperspectral Images (Hsi) And Convolutional Neural Network (Cnn) To Identify Normal, Precancerous And Cancerous Tissues, Pallavi Jain
Dissertations
Cancer detection has been a great topic of research for a long time, as early detection of cancer can help in increasing the survival rate of patients by providing on time better treatment. A robust system is required in order to detect early-stage cancer as its difficult to identify early-stage cancer from the normal clinical process. The computer vision techniques provide a new way to understand the challenges related to the medical image analysis. This thesis presents the medical image analysis using a combination of Convolutional Neural Network and Hyperspectral Images of cancer patient's tissues. The idea behind choosing the …
Spoilage Detection In Raspberry Fruit Based On Spectral Imaging Using Convolutional Neural Networks,
2018
Technological University Dublin, Ireland
Spoilage Detection In Raspberry Fruit Based On Spectral Imaging Using Convolutional Neural Networks, Karthik Kuchangi Jothi Prakash
Dissertations
Effective spoilage detection of perishable food items like fruits and vegetables is essential for retailers who stock and sell large quantities of these items. This research is aimed at developing a non-destructive, rapid and accurate method which is based on Spectral Imaging (SI) used in tandem with Convolutional Neural Network (CNN) to predict whether the fruit is fresh or rotten. The study also aims to determine the number of days before which the fruit rots. This research employs a primary, quantitative and inductive methods to investigate the Deep Learning based approach to detect fruit spoilage. Raspberry fruit in particular has …
Identifying Expert Investors On Financial Microblog Via Artificial Neural Networks,
2018
Technological University Dublin
Identifying Expert Investors On Financial Microblog Via Artificial Neural Networks, Pierluca Del Buono
Dissertations
In the recent years, thanks to social media platform, a plethora of information has been available to financial investors, that were traditionally dependent from financial institutions advisors. Strategies are now shared among web users, performances of stocks are commented in web communities and hints and suggestions are travelling on the internet with a fast pace, in a way that was unthinkable few years before. Several attempts have been made in the recent past, to predict Market movements and trends from activity of Financial Social Networks participants, and to evaluate if contributions from individuals with high level of expertise distinguish themselves …
Is It Worth It? Budget-Related Evaluation Metrics For Model Selection,
2018
Technological University Dublin
Is It Worth It? Budget-Related Evaluation Metrics For Model Selection, Filip Klubicka, Giancarlo Salton, John D. Kelleher
Conference papers
Projects that set out to create a linguistic resource often do so by using a machine learning model that pre-annotates or filters the content that goes through to a human annotator, before going into the final version of the resource. However, available budgets are often limited, and the amount of data that is available exceeds the amount of annotation that can be done. Thus, in order to optimize the benefit from the invested human work, we argue that the decision on which predictive model one should employ depends not only on generalized evaluation metrics, such as accuracy and F-score, but …
On The Reliability, Validity And Sensitivity Of Three Mental Workload Assessment Techniques For The Evaluation Of Instructional Designs: A Case Study In A Third-Level Course,
2018
Technological University Dublin
On The Reliability, Validity And Sensitivity Of Three Mental Workload Assessment Techniques For The Evaluation Of Instructional Designs: A Case Study In A Third-Level Course, Luca Longo
Conference papers
Cognitive Load Theory (CLT) has been conceived for instructional designers eager to create instructional resources that are presented in a way that encourages the activities of the learners and optimise their performance, thus their learning. Although it has been researched for many years, it has been criticised because of its theoretical clarity and its methodological approach. In particular, one fundamental and open problem is the measurement of its cognitive load types and the measurement of the overall cognitive load of learners during learning tasks. This paper is aimed at investigating the reliability, validity and sensitivity of existing mental workload assessment …
Examining A Hate Speech Corpus For Hate Speech Detection And Popularity Prediction,
2018
Technological University Dublin
Examining A Hate Speech Corpus For Hate Speech Detection And Popularity Prediction, Filip Klubicka, Raquel Fernandez
Conference papers
As research on hate speech becomes more and more relevant every day, most of it is still focused on hate speech detection. By attempting to replicate a hate speech detection experiment performed on an existing Twitter corpus annotated for hate speech, we highlight some issues that arise from doing research in the field of hate speech, which is essentially still in its infancy. We take a critical look at the training corpus in order to understand its biases, while also using it to venture beyond hate speech detection and investigate whether it can be used to shed light on other …
Ranking Semantics Based On Subgraphs Analysis,
2018
Technological University Dublin
Ranking Semantics Based On Subgraphs Analysis, Pierpaolo Dondio
Conference papers
An abstract argumentation framework [15] consists of a direct graph where nodes represent arguments and arrows represent an attack relation among arguments. A semantics is used to evaluate arguments’ acceptability. In the labelling approach [7], this evaluation is done by assigning to each argument a label in, out or undec, meaning that the argument is considered consistently acceptable, non-acceptable or undecided (i.e. no decision can be taken on arguments’ acceptability).
Mazetec: A Scenario-Based Learning Platform,
2018
Georgia Southern University
Mazetec: A Scenario-Based Learning Platform, Daniel Bietz
College of Graduate Studies: Theses & Dissertations
This work presents Mazetec, a scenario-based learning platform for delivering non-linear scenarios format asynchronously. It enables subject matter experts to create interactive, state-dependent case studies or courses with branching logic for online learning and knowledge testing. Mazetec is a complex web application designed to deliver decision-based or case-based educational scenarios and simulations in a time-limited, non-linear format. There are many e-learning systems in the open source and commercial markets, but while these systems may have similar functions, we have found none that are both domain independent and able to deliver state-dependent content asynchronous and non-linearly. Mazetec can serve as …
Generating Adversarial Attacks For Sparse Neural Networks,
2018
Portland State University
Generating Adversarial Attacks For Sparse Neural Networks, Jack H. Chen, Walt Woods
Maseeh Summer Undergraduate Research Experience
Neural networks provide state-of-the-art accuracy for image classification tasks. However traditional networks are highly susceptible to imperceivable perturbations to their inputs known as adversarial attacks that drastically change the resulting output. The magnitude of these perturbations can be measured as Mean Squared Error (MSE). We use genetic algorithms to produce black-box adversarial attacks and examine MSE on state-of-the-art networks. This method generates an attack that converts 90% confidence on a correct class to 50% confidence of a targeted, incorrect class after 2000 epochs. We will generate and examine attacks and their MSE against several sparse neural networks. We theorize that …
Real-Time Inbound Marketing: A Use Case For Digital Banking,
2018
Singapore Management University
Real-Time Inbound Marketing: A Use Case For Digital Banking, Alan Megargel, Venky Shankararaman, Srinivas K. Reddy
Research Collection School Of Computing and Information Systems
Over the years banks have been strategically using digital technologies to help transform various aspects of their business. In recent times, this strategy has evolved into one of digital augmentation of the bank’s processes, products and channels. This allows for reaching out to customers and partners through digital platforms, for example; the addition of mobile apps for customers to access and perform service transactions. Marketing continues to play a major role in supporting the expansion of business and increasing revenue for the bank. Marketing has evolved from mass direct targeting to more personalised, face-to-face and real-time targeting. In the digital …
Integrated Reward Scheme And Surge Pricing In A Ride Sourcing Market,
2018
Singapore Management University
Integrated Reward Scheme And Surge Pricing In A Ride Sourcing Market, Hai Yang, Chaoyi Shao, Hai Wang, Jieping Ye
Research Collection School Of Computing and Information Systems
Surge pricing is commonly used in on-demand ride-sourcing platforms (e.g., Uber, Lyft and Didi) to dynamically balance demand and supply. However, since the price for ride service cannot be unlimited, there is usually a reasonable or legitimate range of prices in practice. Such a constrained surge pricing strategy fails to balance demand and supply in certain cases, e.g., even adopting the maximum allowed price cannot reduce the demand to an affordable level during peak hours. In addition, the practice of surge pricing is controversial and has stimulated long debate regarding its pros and cons. In this paper, to address the …
Electrons Dynamics Control By Shaping Femtosecond
Laser Pulses In Micro/Nanofabrication: Modeling,
Method, Measurement And Application,
2018
Beijing Institute of Technology
Electrons Dynamics Control By Shaping Femtosecond Laser Pulses In Micro/Nanofabrication: Modeling, Method, Measurement And Application, Lan Jiang, An-Dong Wang, Bo Li, Tian-Hong Cui, Yong-Feng Lu
Department of Electrical and Computer Engineering: Faculty Publications
During femtosecond laser fabrication, photons are mainly absorbed by electrons, and the subsequent energy transfer from electrons to ions is of picosecond order. Hence, lattice motion is negligible within the femtosecond pulse duration, whereas femtosecond photon-electron interactions dominate the entire fabrication process. Therefore, femtosecond laser fabrication must be improved by controlling localized transient electron dynamics, which poses a challenge for measuring and controlling at the electron level during fabrication processes. Pump-probe spectroscopy presents a viable solution, which can be used to observe electron dynamics during a chemical reaction. In fact, femtosecond pulse durations are shorter than many physical/chemical characteristic times, …
Ears-Dm: Efficient Auto Correction Retrieval
Scheme For Data Management In Edge Computing,
2018
Xidian University
Ears-Dm: Efficient Auto Correction Retrieval Scheme For Data Management In Edge Computing, Kai Fan, Jie Yin, Kuan Zhang, Hui Li, Yintang Wang
Department of Electrical and Computer Engineering: Faculty Publications
Edge computing is an extension of cloud computing that enables messages to be acquired and processed at low cost. Many terminal devices are being deployed in the edge network to sense and deal with the massive data. By migrating part of the computing tasks from the original cloud computing model to the edge device, the message is running on computing resources close to the data source. The edge computing model can effectively reduce the pressure on the cloud computing center and lower the network bandwidth consumption. However, the security and privacy issues in edge computing are worth noting. In this …
Optimal Computational Power Allocation In
Multi-Access Mobile Edge Computing
For Blockchain,
2018
Zhejiang University of Technology
Optimal Computational Power Allocation In Multi-Access Mobile Edge Computing For Blockchain, Yuan Wu, Xiangxu Chen, Jiajun Shi, Kejie Ni, Liping Qian, Liang Huang, Kuan Zhang
Department of Electrical and Computer Engineering: Faculty Publications
Blockchain has emerged as a decentralized and trustable ledger for recording and storing digital transactions. The mining process of Blockchain, however, incurs a heavy computational workload for miners to solve the proof-of-work puzzle (i.e., a series of the hashing computation), which is prohibitive from the perspective of the mobile terminals (MTs). The advanced multi-access mobile edge computing (MEC), which enables the MTs to offload part of the computational workloads (for solving the proof-of-work) to the nearby edge-servers (ESs), provides a promising approach to address this issue. By offloading the computational workloads via multi-access MEC, the MTs can effectively increase their …
Metasurface Base On Uneven Layered Fractal Elements
For Ultra-Wideband Rcs Reduction,
2018
Communication University of China
Metasurface Base On Uneven Layered Fractal Elements For Ultra-Wideband Rcs Reduction, Jianxun Su, Yueyang Cui, Zengrui Li, Yaoqing (Lamar) Yang, Yongxing Che, Hongcheng Yin
Department of Electrical and Computer Engineering: Faculty Publications
A novel metasurface based on uneven layered fractal elements is designed and fabricated for ultra-wideband radar cross section (RCS) reduction in this paper. The proposed metasurface consists of two fractal subwavelength elements with different layer thickness. The reflection phase difference of 180◦ (±37◦) between two unit cells covers an ultra-wide frequency range. Ultra-wideband RCS reduction results from the phase cancellation between two local waves produced by these two unit cells. The diffuse scattering of electromagnetic (EM) waves is caused by the randomized phase distribution, leading to a low monostatic and bistatic RCS simultaneously. This metasurface can achieve …
Information Theory And Cognition: A Review,
2018
University of Nebraska-Lincoln
Information Theory And Cognition: A Review, Khalid Sayood
Department of Electrical and Computer Engineering: Faculty Publications
We examine how information theory has been used to study cognition over the last seven decades. After an initial burst of activity in the 1950s, the backlash that followed stopped most work in this area. The last couple of decades has seen both a revival of interest, and a more firmly grounded, experimentally justified use of information theory. We can view cognition as the process of transforming perceptions into information—where we use information in the colloquial sense of the word. This last clarification is one of the problems we run into when trying to use information theoretic principles to understand …
Method Ofobtaining Micrographs Of Transparent Or Semi-Transparent Specimens Using Anisotropic Contrast,
2018
Lincoln, Ne
Method Ofobtaining Micrographs Of Transparent Or Semi-Transparent Specimens Using Anisotropic Contrast, Tino Hofmann, Mathias M. Schubert, Tadas Kasputis, Angela K. Pannier, Craig M. Herzinger, John A. Woollam
Department of Electrical and Computer Engineering: Faculty Publications
Anisotropic contrast methodology in combination with use of sample investigating polarized electromagnetic radiation to provide Jones or Mueller Matrix imaging data corresponding to areas on samples.
The Rhetoric Of Science Education And
Technology,
2018
University of Nebraska-Lincoln
The Rhetoric Of Science Education And Technology, Iwasan D. Kejawa
School of Computing: Faculty Publications
Nearly thousands of science experiments are performed both on humans and animals every year in the United States (Gregory, 1999). Does Science enormously play a role in the well-beings of individual in the society? Research has found that science education is through motivation and satisfying the needs of humans. The scientific world is part of an elongated human development. This can be substantiated with the use and evolution of TECHNOLOGY and SCIENCE (Minton, 2004). Education of the entities that comprise the need to achieve the goal of TECHNOLOGY and SCIENCE which are important issues of today. Research has shown that …
Crop Height Estimation With Unmanned Aerial Vehicles,
2018
University of Nebraska-Lincoln
Crop Height Estimation With Unmanned Aerial Vehicles, Carrick Detweiler, David Anthony, Sebastian Elbaum
School of Computing: Faculty Publications
An unmanned aerial vehicle (UAV) can be configured for crop height estimation. In some examples, the UAV includes an aerial propulsion system, a laser scanner configured to face downwards while the UAV is in flight, and a control system. The laser scanner is configured to scan through a two-dimensional scan angle and is characterized by a maxi mum range. The control system causes the UAV to fly over an agricultural field and maintain, using the aerial propulsion system and the laser scanner, a distance between the UAV and a top of crops in the agricultural field to within a programmed …
Internet Of Underground Things In Precision Agriculture: Architecture And Technology Aspects,
2018
University of Nebraska-Lincoln
Internet Of Underground Things In Precision Agriculture: Architecture And Technology Aspects, Mehmet C. Vuran, Abdul Salam, Rigoberto Wong, Suat Irmak
School of Computing: Faculty Publications
The projected increases in World population and need for food have recently motivated adoption of information technology solutions in crop fields within precision agriculture approaches. Internet Of Underground Things (IOUT), which consists of sensors and communication devices, partly or completely buried underground for real-time soil sensing and monitoring, emerge from this need. This new paradigm facilitates seamless integration of underground sensors, machinery, and irrigation systems with the complex social network of growers, agronomists, crop consultants, and advisors. In this paper, state-of-the-art communication architectures are reviewed, and underlying sensing technology and communication mechanisms for IOUT are presented. Moreover, recent advances in …
