Improving energy efficiency is one of the key challenges facing Wireless sensor networks (WSNs), which are becoming more ubiquitous by the day. Since the nodes (sensors) often have to rely upon limited energy stores to execute their job of data collection as relaying of data from other nodes, optimization of data transfer path becomes important to enhance th

Data mining and knowledge discovery, refers to discover knowledge from huge amounts of data, has a broad application prospect.When faced with geological data, however, even the relatively mature existing models, there are defects performance and effect.Investigate its reason, mainly because of the inherent characteristics of geological data, high dimension,

This node-based editor allows using the open source library simple-data-analysis.js without code.

The Rotten Tomatoes movie review corpus is a collection of movie reviews collected by Pang and Lee in [2]. This corpus has been analysed in [3] where each sentence is parsed into its tree structure and each node is assigned a fine-grained sentiment label ranging from 1 − 5 where the numbers represent very negative, negative, neutral, positive and very positi

Distance and signal quality aware routing protocol(DSQR) is a Vehicular ad-hoc network protocol. It’s predecessor GPSR protocol is used in Vanets for data transmission. Developed this protocol as my third year "Computer Networks" semester project using Matlab. It is a modified geographical routing protocol using mid area node selection and signal quality to

In developmental robotics, robot learning algorithms generate their own sequences of learning experiences, also known as a curriculum, to cumulatively acquire new skills through self-guided exploration and social interaction with humans. These robots use guidance mechanisms such as active learning, maturation, motor synergies and imitation. Association rule

YCT project is a automatic stock data analysis tool, which can plot trend lines and key nodes that can be guided as candidates of buy or sell timings of those products.(YCT基于股市“缠论”理论进行自动化和智能化分析)

Node.js client for Google Cloud Prediction: Analyze your data to add various features to your applications, such as customer sentiment analysis, spam detection, recommendation systems, and more.

[Experimantal] Node.js data analysis and plot library

• Built a polling website for users to vote, search and discuss, as well as data analysis. • Developed the backend framework, routes by using React.js, Node.js, Express. • Built NoSQL database (MongoDB) and handled HTTP requestsa and response with RESTful APIs. • Designed interactive web pages by using JavaScript, jQuery, Ajax, HTML/CSS. • Implemented a

List of all R codes used for the analysis of single cell data in the paper Blecher et al. on the study of immune cell communications.

This is a Windows agent which can collect usage data and windows event from Windows machine and capable of doing some amount of pre-processing and send the processed data to the central node for the further analysis.

Twitter Stream Aggregator and big data analysis using node.js, and HDInsight on Windows Azure

RADSeq tool with Snakemake workflow integration for analysis of RAD sequencing data.

Analyse .osm tagged data using NodeJS and osmfilter

Framework for parallel processing based on Actor4j. Useful for data analysis.

The main objective of this project is to simulate and analyze protocols associated with Alternate path routing (APR) which can be used to achieve efficient routing in communications networks. We describe the link state routing approach to APR in connection-oriented networks, and evaluate their performance using simulations. The source node transmits the node

Different node attacks like black-hole attacks, hello flooding attacks, and denial of service (DoS) in a MANET are modeled and simulated in OMNET++ for different mobility models and node speed. Obtained results are analyzed in terms of data packet delivery ratio (PDR), end-to-end delay, network throughput, and energy consumption. This helps us understand the

FatiGO. This is the conventional enrichment test where we compare two lists of genes, usually a group of genes which are significant in a given test that are compared to the rest of the genes in the experiment, although any two groups formed in any way can be tested against each other. This approach detects significant over-representation of functional annot

The next level of this prototype will stand upon three primary pillars: 1. Simulation environment: How to create an easy to assemble & reproducible simulation environment using minimal hardware to create engagement models for our audience? ShopNext v2.0 will be about real people generating real events using real objects! 2. Reusability: How to ensure the nod