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Now showing items 41-60 of 117
Dynamic Activity Predictions using Graph-based Neural Networks for Time Series Forecasting
(2023)
Time series forecasting is a vital task in numerous fields, and traditional methods,
machine learning models, and neural graph networks have been employed to improve
prediction accuracy. However, these techniques need ...
Crosstalk computing: circuit techniques, implementation and potential applications
(2020)
This work presents a radically new computing concept for digital Integrated Circuits (ICs), called Crosstalk Computing. The conventional CMOS scaling trend is facing device scaling limitations and interconnect bottleneck. The other primary concern...
StoryNet: A 5W1H-based knowledge graph to connect stories
(2021)
, ELECTRA, and AllenNLP Transformer QA with the datasets - CVE, NVD, SQuAD v1.1, and SQuAD v2.0, and compared them with custom annotations for identifying 5W + 1H. We've presented the performance and accuracy of both approaches in the results section. Our...
A data mining study of g-quadruplexes and their effect on DNA replication
(University of Missouri--Kansas City, 2012-05-25)
G-quadruplexes are guanine rich sequences of DNA that can form non-Watson-Crick
four stranded structures. They have been found to exist in various regions of the genome and
are believed to play a biological role. We ...
A Data Science Approach to Extracting Insights About Cities and Zones Using Open Government Data
(University of Missouri--Kansas City, 2017)
In this research, we introduce a system that utilizes open government data and
machine learning algorithms to extract meaningful insights about cities and zones in the
United States. It is estimated that 4% of the ...
Improving Transaction Acceptance of Incoherent Updates Using Dynamic Merging In a Relational Database
(2015)
Despite its tenure, mobile computing continues to move to the forefront of technology and business.
This ever expansive field holds no shortages of opportunity for either party. Its benefits and
demand are abundant but it ...
On-chip Voltage Regulator– Circuit Design and Automation
(2021)
-level, one of the significant steps in the flow. We presented a novel, efficient circuit synthesis flow based on simulation and learning-based optimization methods. The proposed methodology has two phases: the learning phase and the evaluation phase. Random...
Deep Open Representative Learning for Image and Text Classification
(2020)
An essential goal of artificial intelligence is to support the knowledge discovery process from data to the knowledge that is useful in decision making. The challenges in the knowledge discovery process are typically due ...
DMLA: A Dynamic Model-Based Lambda Architecture for Learning and Recognition of Features in Big Data
(University of Missouri--Kansas City, 2016)
Real-time event modeling and recognition is one of the major research areas that is yet to reach its fullest potential. In the exploration of a system to fit in the tremendous challenges posed by data growth, several big ...
Identifying personality and topics of social media
(2019)
Twitter and Facebook are the renowned social networking platforms where users post, share, interact and express to the world, their interests, personality, and behavioral information. User-created content on social media ...
Second chance competitive autoencoders for understanding textual data
(2021)
specialized in recognizing specific patterns, leading to learning more semantically meaningful representations of textual data. In addition, the SSCAT model presents a novel competition based on a similarity measurement to eliminate redundant features. Our...
An Approach For Scalable First-Order Rule Learning On Twitter Data
(2021)
Scalable Rule Learning (SRLearn) is a scalable divide-and-conquer approach with graph-based modeling of social media data, to scale up first-order rule learning through Markov Logic Networks on a commodity cluster on large ...
Scalable Acceleration of The Characteristic Mode Analysis Computational Toolbox Using Big Data Techniques
(2021)
Characteristic Mode Analysis (CMA) is used in the design and analysis of a wide range of electromagnetic devices such as antennas and nano-structures. CMA provides physical insight into a target's electromagnetic response ...
A New Strong Proactive Verifiable Secret Sharing Scheme with Unconditional Security
(University of Missouri--Kansas City, 2010)
In secret sharing scheme, the master secret and all the private shares (which are distributed by the dealer to the shareholders) are the two secrets which are to be maintained confidentially. In all the secret sharing ...
Situation Aware Mobile Apps Framework
(University of Missouri--Kansas City, 2012-10-03)
Mobile devices, like smart phones or tablets, have become ubiquitous, with their adoption being driven by their immediacy and sensing capabilities. Applications, or apps, that run on portable computing devices have surged ...
Sequential Designs with Application in Software Engineering
(2014-03-31)
Presented here is a Bayesian approach to test case allocation in the software reliability estimation. Bayesian analysis allows us to update our beliefs about the reliability of a particular partition as we test, and thus, dynamically re refine our...
Data center resource management with temporal data center resource management with temporal dynamic workload
(University of Missouri--Kansas City, 2012-06-19)
The proliferation of Internet services drives the data center expansion in both size
and the number. More importantly, the energy consumption (as part of total cost of ownership
(TCO)) has become a social concern. When ...
A Method for Identification of Pancreatic Cancer through Methylation Signatures in Cell-Free DNA
(2022)
Pancreatic cancer has high mortality rates in comparison to other cancers due to limited treatment options and challenges in detecting the disease. Early diagnosis is difficult; successful outcomes are directly tied to ...
Distributed querying of clinical documents modeled as HL7 version 3 standard
(University of Missouri--Kansas City, 2012-01-30)
We present a software tool called Collaborative Data Network (CDN) for
distributed querying of clinical documents modeled using HL7 v3 standard (e.g., Clinical
Document Architecture). HL7 Version 3 standard was developed ...
Data Structures and Algorithms for Partitioning a Set into Sets of Non-Descending Cardinality
(2015)
Data structures have been around since the structured programming era. Algorithms
often associate with data structures. An algorithm is a sequence of instructions that
accomplishes a task in a finite time period. The ...