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One of the goals of this project is to utilize Deep Learning models to better interpret underwater sounds. We are required to train neural networks streams of audio data to separate marine mammal vocalization sounds (orcas and humpback whales) from other background noise like that of ships and other vessels. Next, we have to train two different neural networks- one for classifying the whale vocalization sounds and the other one to classify ship noises. The second part of the project involves building an efficient vessel monitoring system. We will use AIS data to detect and track larger commercial vessel and some private yachts. The non-AIS boats can be tracked using RADAR and camera data using Marine Monitoring system. Once we are done training all the models, we can deploy the detectors on the cloud and on the Jetson Nano.
<p>The aim on this project is to implement NEON functions into SIMD which are not yet supported. Adding these implementations will allow the NEON SIMD intrinsics to be run on any architecture. Along with their portable implementations, implementations using other ISA extensions will also be included. For example, SSE/AVX, AltiVec, WebAssembly (WASM) etc.</p>
Casbin-dashboard is the official web UI (admin portal) for Casbin models and policies. Casdoor is a centralized authentication / Single-Sign-On (SSO) platform. Problem: 1. A more friendly policy management UI is needed for Casbin-dashboard. And it should be able to handle 10,000+ more rules. 2. Test management page needs to be developed for Casbin-dashboard. A test page to make example requests to Casbin and get responses, like Postman. 3. Authentication and authorization for the Casbin-dashboard itself. Of course authorization will be implemented in Casbin. 4. Casdoor needs to sign up with email without verification by configuring the application edit page. 5. Casdoor needs to support configurable captcha in user flows. It can support different implementations. Solution: 1. We can use more powerful and high-quality UI libraries such as Ant Design to build more friendly web UI. And in order to handle 10,000+ more rules, we can use paging display and virtual list in frontend, and we can use paging query and database index in backend. 2. We can build a test management page, so that we can create and edit our unit test case through the web page. 3. We can build an authorization management page to realize the authorization of the dashboard. We can use Casbin models to control the presentation of every element on the page and control each request of the RESTful API. 4. We can add a rule to control whether the email verification is required.5. We can integrate the different services from cloud captcha providers like gCaptcha, hCaptcha. To save a lot of work, we just only need to integrate the wrapper code. Deliverables: 1. Allow to sign up with Email without verification for Casdoor. - June 7; 2. Support configurable captcha for Casdoor. - June 28; 3. A more friendly policy management UI for Casbin-dashboard. - July 11; 4. Test management page for Casbin-dashboard. - July 23; 5. Authentication and authorization for the Casbin-dashboard itself. - Aug 11;
<p>Build a new prototyping tool for comparing and visualizing new routing algorithms rapidly.</p>
<p>This Project is implementing four widgets [1]. Pitch Stair case [2]. Tempo [3]. Rhythm Ruler [4]. Free pitch slider and more if time permits.</p>
<p>Purpose of this project is to create a suite of GitHub Actions workflows for scheduled algorithm deployment on datastreams from Ocean Observatories Initiative and Orcasound hydrophones.</p>
This will be the Genome Nexus' cli to rule them all. Main objectives: 1. All 3 projects will be merged into one Java project. 2. Interface will follow Command Line Interface Guidelines to the point. 3. I will try to stick to Test Driven Design as much as possible. 4. A dependency will only be added to the project when it is unavoidable. 5. Killer cli documentation and web-based documentation will be added.
<p>The idea of implementing a solution for spam i.e SpamBrainz started in 2017. Since then, there has been progress towards it by implementing a high accuracy model in Keras called Lodbrok to detect spam. However, this model has been entirely trained offline with batches from a stored dataset. The proposed idea is to complete this integration and make spam detection automated and a thing of the past. The main parts I will focus on:<br> ● Implement online learning of the Lodbrok model using the SpamNinja system feedback as the classifier.<br> ● Complete SpamBrainz API to connect Lodbrok with SpamNinja.<br> ● Create a dedicated web-site for SpamBrainz documentation and setup needed to help new contributors and get more traction.<br> In the future, the same concept of spam detection can be extended to all other MetaBrainz projects</p>
<p>The solution will act as a BROKER that manages subscriptions for update notifications for each deployment subscribed by system administrators</p> <p>System Diagram: <a href="https://drive.google.com/file/d/1risThs_kBWBYJjvepytUaDIQDxpL2w3T/view?usp=sharing" target="_blank">https://drive.google.com/file/d/1risThs_kBWBYJjvepytUaDIQDxpL2w3T/view?usp=sharing</a></p>
<p>The primary aim of this project is to improve the cBioPortal’s clinical-timeline. The present implementation (<a href="https://github.com/cbioportal/clinical-timeline" target="_blank">https://github.com/cbioportal/clinical-timeline</a>) is pretty rudimentary and there is a lot that can be improved upon. There are many new features that I plan to implement so that the end users and the researchers have better tools for analyzing and visualising the data.</p> <p>Along with the features, proper unit tests will be written which will help maintain the project better, ensure it doesn’t break anytime and also demonstrate that my code works. Many unattended bugs that the timeline has will also be fixed so that it works smoothly and as expected.</p> <p>This project will provide a better toolset for clinicians to analyse the patient’s data and that in turn would help society at large. I am really passionate about this project and the fact that my work could affect the lives of millions of cancer patients across the world is highly satisfying and motivating.</p>
<p>InterMine constitutes a data warehouse framework, which provides the ability to access, retrieve and analyze rapidly a variety of biological data (<a href="http://intermine.org/" target="_blank">http://intermine.org/</a>). With intuitive tools, like targeted searches, customized queries, and predefined templates which incorporate popular queries for specific type of biological data, InterMine attempts to facilitate access, retrieval and analysis heterogeneous biological information. Aiming to expand the functionality of InterMine framework, an R package, InterMineR, has been developed that provides access to InterMine instances through the R programming environment (<a href="https://github.com/intermine/interminer" target="_blank">https://github.com/intermine/interminer</a>). However, for InterMine resources to be fully exploited with R language, it is necessary to develop detailed, easy-to-access tutorials, that demonstrate the integration of InterMineR in routine R bioinformatics analyses. In the context of Google Summer of Code program, this proposal describes in detail the steps that can be followed in order to 1) create detailed, bioinformatics R demos for InterMineR, 2) expand the functionality of InterMineR by integrating enrichment analysis, and 3) publish InterMineR to CRAN and Bioconductor.</p>
<p>The streams based workflow engine will organize tasks into streams, allow parallelization of this streams, and work locally as well as integrated into common external HPC services. As well dat can be integrated to store intermediate and final data. This provides a framework for efficient, reproducible, and understandable bioinformatics pipelines.</p>
<p>This project aims to enable JavaScript visualizations in TOPPView using Qt WebEngine and its different modules.</p>
<p>This projects aims at optimizing the storage capabilities on XO, adding improvements to the Sugar UI and adding offline support to InfoSlicer and GetBooks activities.</p>
<p>Using ReactJS and Javascript for computation and visualisation of vehicle range to ease range anxiety among electric vehicle drivers.</p>
<p>The 21st century ushered with it the age of smart and predictive technology with the optimum use of resources to make life easier. In accordance with this trend, the proposal is to leverage machine learning algorithms for improved traffic avoidance, determine the energy consumption of the electric vehicles, simulation of driving, visualisation of the route taken by a car, route prediction and providing a smart notification system. The Fuel_prediction module has functionalities including predicting the energy consumption, the amount of CO2 that is saved from being emitted to the environment and the recharge time required for the journey. The Route_option module focuses on leveraging human knowledge to get the best route for traffic avoidance. The Trajectory module shows the visualization of the route a car takes. The Route_predictor helps to predict the route that the car will take based on the previous history. The Driving_simulator module is a simulator for vehicles to learn how to drive themselves. The Smart_notifcation module helps in filtering the notifications in order to avoid spamming the user.</p>
<p>This project will aim to create a pipeline for all CPTAC data transformation into cBioPortal compatible files for public access. Conversion and addition of novel CPTAC proteogenomic datasets into the cBioPortal will advance cancer studies, which will lead to a better understanding of the molecular profiles of cancer.</p>
<p>The objective of my proposal is to expand the features of Exerciser activity. More precisely, the expected features:</p> <ol> <li>Allow the user to integrate multimedia element (images, sounds, videos, text-to-speech) in questions and answers.</li> <li>Improve result screen to view detail result on each answer for each user.</li> <li>Addition of new templates (matching pair, group assignment, freetext input).</li> <li>Support access to a remote library of exercises.</li> <li>Integration of an Image Editor.</li> <li>Enabling access to Abecedarium activity’s images/sounds using Journal chooser.</li> </ol>
Create a diagnostic visualizer for testing LLM outputs against Bias and Fairness metrics defined by the EU AI Act.
BookBrainz currently has no administration system, or any good way of giving users special privileges. This project involves devising and implementing a basic admin system allowing for a flexible privilege hierarchy. This project will also include creating relationship and identifier editors which allow privileged users to edit and add relationships and identifiers.
Casbin Core Engine is the first implementation for Casbin DSL. Though stable now, it lacks some important features like the WatcherEx support. Also, Casbin has many users with active feedback, which suggests useful features and explicit bugs. The goal of this project is to add missing features and make Casbin Core Engine more stable.
Molecular consequences of genetic variants determine their impact. For example, the variant NM_001330311.2(DVL1):c.1594del is a frameshift variant whose frameshift causes Robinow syndrome. Constantly enhancing the ability of genetic standards to simplify the aggregation and use of molecular consequences will increase the power of these standards. This project aims to support this goal by modifying the vcf2fhir project and the FHIR Genomics reference implementation to incorporate molecular consequence data. It also involves assessing the FHIR Genomics specification to determine whether its modeling of molecular consequences can be improved.
<p>This project aims to implement the CoAP endpoint library for the drogue-cloud project. The endpoint would have the ability to facilitate the publishing of data to an HTTP endpoint (device-to-cloud) and send commands to a device from an HTTP endpoint (cloud-to-device). The project would involve implementing the above cloud side features and test them end to end. This project does not focus on implementing a CoAP client.</p>