50 Result(s)
within
Frederick C. Harris Jr.
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Article
Open AccessSparse transformer with local and seasonal adaptation for multivariate time series forecasting
Transformers have achieved remarkable performance in multivariate time series(MTS) forecasting due to their capability to capture long-term dependencies. However, the canonical attention mechanism has two key ...
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Article
Open AccessA novel extreme adaptive GRU for multivariate time series forecasting
Multivariate time series forecasting is a critical problem in many real-world scenarios. Recent advances in deep learning have significantly enhanced the ability to tackle such problems. However, a primary cha...
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Chapter and Conference Paper
Initial Design and Implementation of an Edge-to-Edge LoRaWAN Data Collection System
Democratizing established research infrastructure yields profound beneficial effects on local regions, especially with sensor networks deployed through environmental research. The active deployment of sensor n...
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Chapter and Conference Paper
Fostering Joint Innovation: A Global Online Platform for Ideas Sharing and Collaboration
In today’s world, where moving forward hinges on innovation and working together, this article introduces a new global online platform that’s all about sparking teamwork to come up with new ideas. This platfor...
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Chapter and Conference Paper
TickTrax: A Mobile and Web-Based Application for Tick Monitoring and Analysis
Due to the impact of climate change on environmental factors, tick populations are expanding in various regions, posing a growing public health concern due to the tick-borne pathogens (TBP) they transmit. To a...
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Chapter and Conference Paper
A User Study of Two Downstream Single-Cell Data Analysis Methods: Clustering and Trajectory Inference
Recent advancements in deep learning have significantly improved the analysis of single-cell data, including clustering and trajectory inference. Multiple methods have been proposed for these downstream tasks....
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Chapter and Conference Paper
GPU-Accelerated Neural Networks and Computational Strategies to Predict Wave Heights
Significant Wave Height is an ocean wave characteristic that plays a major role in deriving and predicting wave energy. In this study, we aim to predict significant wave height using wind data as input to a mu...
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Chapter and Conference Paper
A Holistic Approach for Single-Cell Data Trajectory Inference Using Chromosome Physical Location and Ensemble Random Walk
Single-cell RNA sequencing technology enables the analysis of complex, heterogeneous cell samples. However, errors in data processing, dimension reduction, and clustering can negatively impact subsequent calcu...
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Chapter and Conference Paper
A Schedule of Duties in the Cloud Space Using a Modified Salp Swarm Algorithm
Cloud computing is a concept introduced in the information technology era, with the main components being the grid, distributed, and valuable computing. The cloud is being developed continuously and, naturally...
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Article
Open AccessA robust and accurate single-cell data trajectory inference method using ensemble pseudotime
The advance in single-cell RNA sequencing technology has enhanced the analysis of cell development by profiling heterogeneous cells in individual cell resolution. In recent years, many trajectory inference met...
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Chapter and Conference Paper
A Virtual Reality Mining Training Simulator for Proximity Detection
Many applications in industrial mining rely on large manually operated trucks to transport materials around the mine. These trucks are often enormous, with very limited visibility for the driver. The combinati...
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Chapter and Conference Paper
Integrating LSTM and EEMD Methods to Improve Significant Wave Height Prediction
One of the most significant reliable and renewable energy sources is wave energy which has the most energy density among the renewable energy sources. Significant Wave Height (SWH) plays a major role in wave e...
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Chapter and Conference Paper
Generalized EEG Data Acquisition and Processing System
Data acquisition is an integral part in any intelligent system to ensure the data captured can be processed to a meaningful deduction. It is common for the researchers to use the third-party hardware to collec...
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Chapter and Conference Paper
An Application for Interaction Comparison Between Virtual Hands and Virtual Reality Controllers
This paper presents an application for Virtual Reality (VR) interfaces for virtual hands which will allow us to compare interaction between virtual hands and VR controllers in Virtual Environments (VEs). Devel...
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Chapter and Conference Paper
Virtual Reality Multiplayer Interaction and Medical Patient Handoff Training and Assessment
Virtual worlds have the potential to mirror many aspects of real life. Immersive virtual worlds constructed through the use of Virtual Reality (VR) are useful in simulating the technology, equipment, and pract...
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Chapter and Conference Paper
Parallelizing the Slant Stack Transform with CUDA
In geophysics, the slant stack transform is a method used to align signals from different sensors. We focus on the use of the transform within passive refraction microtremor (ReMi) surveys, in order to produce...
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Chapter and Conference Paper
Parallelized C Implementation of a Merkle Tree
Merkle trees are primarily known for being an attribute found in blockchain technology. They are used for encrypting data by hashing values multiple times to avoid incidents such as hash collisions, or the suc...
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Chapter and Conference Paper
Single-Cell RNA Sequencing Data Imputation Using Deep Neural Network
Recent research in biology has shifted the focus toward single-cell data analysis. The new single-cell technologies have allowed us to monitor and characterize cells in early embryonic stage and in heterogeneo...
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Chapter and Conference Paper
GPU Acceleration of Sparse Neural Networks
In this paper, we use graphics processing units (GPU) to accelerate sparse and arbitrary structured neural networks. Sparse networks have nodes in the network that are not fully connected with nodes in precedi...
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Chapter and Conference Paper
Preventing Decision Fatigue with Aesthetically Engaging Information Buttons
In many different kinds of complex forms (financial, job applications, etc.), information button widgets are used to give context-specific information to enable users to fill out forms completely. However, in ...
