11,409 Works

Supplementary materials for \"Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations\"

Thitipong Kawichai, Apichat Suratanee & Kitiporn Plaimas
This file contains the supplementary materials of the paper entitled "Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations".

Supplementary materials for Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations

Thitipong Kawichai, Apichat Suratanee & Kitiporn Plaimas
This file contains the supplementary materials of the paper entitled "Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations".

Supplementary materials for Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations

Thitipong Kawichai, Apichat Suratanee & Kitiporn Plaimas
This file contains the supplementary materials of the paper entitled "Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations".

Supplementary materials for Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations

Thitipong Kawichai, Apichat Suratanee & Kitiporn Plaimas
This file contains the supplementary materials of the paper entitled "Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations".

wind 3

Abhishek Bansal
This dataset is in support of Research Paper " Grid-Connected Wind " submitted to "IEEE Transactions on Energy Conversion". (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60)usaAbstract of the above submitted paper

Alberta load data

Wei Huang
This data set is the power load data of Alberta, Canada in 2016. The data sampling period is 1 h, including 24 sampling points every day.

Alberta load data

Wei Huang
This data set is the power load data of Alberta, Canada in 2016. The data sampling period is 1 h, including 24 sampling points every day.

wind-Part 2

Abhishek Bansal
This dataset is in support of Research Paper " Grid-Connected Wind " submitted to "IEEE Transactions on Energy Conversion". (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60)This experiment is different from the exisiting approaches in the following ways(a)(b)(c)(d)(e)Abstract of the above submitted paper

Effect of Paddy Rice vegetation on path-loss between CC2650 SoC based sensor nodes operating at 2.4 GHz Radio Frequency (RF)

Agro Glean System, Pankaj Pal, Rashmi Priya Sharma & Sanjay Pal
Here we introduce so-far the largest subject-rated database of its kind, namely, "Effect ofPaddy Ricevegetation on path-loss betweenCC2650 SoC 32-bit Arm Cortex-M3based sensor nodes operating at2.4 GHzRadio Frequency (RF)".This database contains received signal strengthmeasurementscollected through campaigns in theIEEE 802.15.4standard precision agricultural monitoring infrastructure developed for Paddy rice crop monitoring from period03/07/2019 to 18/11/2019.

Solar Inverter

Abhishek Bansal
This dataset is in support of Research Paper " 6.66 kVA Solar Inverter " submitted to "IEEE Transactions on Energy Conversion".(https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60)Abstract of the above submitted paper

Dataset for IoT Assisted Human Posture Recognition

Ritwik Duggal, Jahnvi Gupta, Mukesh Kumar, Nitin Gupta & Joel J.P.C. Rodrigues
The ability of detecting human postures is particularly important in several fields like ambient intelligence, surveillance, elderly care, and human-machine interaction. Most of the earlier works in this area are based on computer vision. However, mostly these works are limited in providing real time solution for the detection activities. Therefore, we are currently working toward the Internet of Things (IoT) based solution for the human posture recognition. To achieve the objective, in the first phase,...

Many and Multi-objective datasets used in MIP-DoM

Claudio Lucio do Val Lopes & Flávio Vínicius Cruzeiro Martins
This dataset brings some problem sets and results from some classical algorithms from the evolutionary computational community.We have used some tools: Pymoo, Platypus and Pagmo

6.66 kVA Solar Inverter

Abhishek Bansal
This dataset is in support of my original Research Paper " 6.66 kVA Solar Inverter " submitted to "IEEE Transactions on Energy Conversion".(https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60)This experiment is different from the exisiting approaches in the following ways(a)(b)(c)(d)(e)Abstract of the above submitted paper

wind-Part 2

Abhishek Bansal
This dataset is in support of my original Research Paper " Grid-Connected Wind " submitted to "IEEE Transactions on Energy Conversion". (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60)This experiment is different from the exisiting approaches in the following ways(a)(b)(c)(d)(e)Abstract of the above submitted paper

General Bi-tri Logic SPWM for Current Source Converter with Optimized Zero-state Replacement

Li Ding
This paper proposed an optimized zero-state replacement (ZSR) method for general Bi-tri logic SPWM (BTSPWM) to deal with the common-mode voltage (CMV) issue. The BTSPWM can take advantage of the well-developed modulation strategies adopted in voltage source converters (VSCs) and transfer them into a current source converter (CSC) system through logic translation, which shares more general features compared with other modulations developed for CSC. However, all-off gating signals can be generated through the logic translation,...

wind 3

Abhishek Bansal
This dataset is in support of my original Research Paper " Grid-Connected Wind " submitted to "IEEE Transactions on Energy Conversion". (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60)usaAbstract of the above submitted paper

wind 3

Abhishek Bansal
This dataset is in support of my original Research Paper " Grid-Connected Wind " submitted to "IEEE Transactions on Energy Conversion". (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60)usaAbstract of the above submitted paper

wind -Part 1

Abhishek Bansal
This dataset is in support of my original Research Paper " Grid-Connected Wind " submitted to "IEEE Transactions on Energy Conversion". (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60).This dataset is related toThis experiment is different from the exisiting approaches in the following ways(a)(b)(c)(d)(e)This simulation has taken into consideration the standards for the India, Delhiconditions, where this will get conneced to the substation is of the local DISCOM,viz., BSES (Bombay Suburban Electric Supply),RajDhaniAbstract of the above submitted paper

wind -Part 1

Abhishek Bansal
This dataset is in support of my original Research Paper " Grid-Connected Wind " submitted to "IEEE Transactions on Energy Conversion". (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60).This dataset is related toThis experiment is different from the exisiting approaches in the following ways(a)(b)(c)(d)(e)This simulation has taken into consideration the standards for the India, Delhiconditions, where this will get conneced to the substation is of the local DISCOM,viz., BSES (Bombay Suburban Electric Supply),RajDhaniAbstract of the above submitted paper

wind -Part 1

Abhishek Bansal
This dataset is in support of my original Research Paper " Grid-Connected Wind " submitted to "IEEE Transactions on Energy Conversion". (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60).This dataset is related toThis experiment is different from the exisiting approaches in the following ways(a)(b)(c)(d)(e)This simulation is designed taken into consideration the standards for the India, Delhi conditions, where thw wiind turbine will get conneced to the substation of the local DISCOM,viz., BSES (Bombay Suburban Electric Supply),RajDhaniAbstract of the above submitted paper

6.66 kVA Solar Inverter

Abhishek Bansal
This dataset is in support of my original Research Paper " 6.66 kVA Solar Inverter " submitted to "IEEE Transactions on Energy Conversion".(https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60)This experiment is different from the exisiting approaches in the following ways(a)(b)(c)(d)(e)Abstract of the above submitted paper

Coronavirus (COVID-19) Geo-tagged Tweets Dataset

Rabindra Lamsal
This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs...

HIS-RING-abdomen

Hengrong Lan, Changchun Yang & Fei Gao
This dataset contains 1216 data, which are scanned by HIS-RING PACT system.the data sampling rate of our system is 40 MSa/s,a 128-elements2.5MHzfull-view ring-shaped transducer with 30mm radius.continuous updating.....

6.66 kVA Solar

Abhishek Bansal
This dataset is in support of my original Research Paper " 6.66kVA Solar " submitted to "IEEE Transactions on Energy Conversion". (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60).The results of this experiment are based on the actual proposed project for funding.This is not connected to the grid but the other related dataset " " , where this will b conencted to the inverter and will be connected to the grid.This experiment is different from the exisiting approaches in the following ways(a)...

Data Alchemist

Kaustubh Anwekar
Domestic power consumption depends largely on use of household appliances. Appliances having moving mechanical parts (like motors in washing machines and compressors in refrigerators and air conditioners) and which involve heating (like heaters, electric ironing machines, water geysers, etc.) consume more electricity than electronics (like Televisions, LED lights, etc.). Energy ratings and age of these appliances, residential wiring age and quality, home insulation, natural light within the house further influence energy consumption considerably. It is...

Registration Year

  • 2021
    386
  • 2020
    7,601
  • 2019
    3,002
  • 2018
    309
  • 2017
    88
  • 2016
    23

Resource Types

  • Dataset
    11,409