Artificial Intelligence

Falls are a major health problem with one in three people over the age of 65 falling each year, oftentimes causing hip fractures, disability, reduced mobility, hospitalization and death. A major limitation in fall detection algorithm development is an absence of real-world falls data. Fall detection algorithms are typically trained on simulated fall data that contain a well-balanced number of examples of falls and activities of daily living. However, real-world falls occur infrequently, making them difficult to capture and causing severe data imbalance.

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This dataset is in support of my following Research papers  

Preprint  (Make sure you have read Caution) :

  • Novel ß Transtibial Prosthetic 9-DoF Artificial Leg Adaptive Controller - Part I* 

  https://doi.org/10.36227/techrxiv.19758517.v1

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1861 Views

This dataset is in support of my Research paper 'Design of 6-DoF Combat Quadcopter'.

Preprint:   

The system is basic, on existing designs.It is very simple for any graduate,degree holder.

 

Related Claim : Novel ß Non-Linear Theory

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1105 Views

There is related page 'Data:B-Bio Models-1' but this open-access page especially for 'Female' ß-Bio models of Self-Claimed advancements, Research papers and computer models proposed by me.. All content can be freely downloaded. Models shared only for humanitarian purposes, Can be used by Clinical Doctors or Pharmacologists or Researchers under License CC-BY. Preprints can be freely downloaded, pls.

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1484 Views

This is an open-access page. All content can be freely downloaded. Models shared only for humanitarian purposes, Can be used by Clinical Doctors or Pharmacologists or Researchers under License CC-BY. Preprints can be freely downloaded, pls. click on title.  

I. Paper 1 : Investigating Myocardial Infarction using Novel ß-Bio Model of Circulatory System 

II. Paper 2 : Investigating Myocardial Infarction using Novel ß Bio-Electro-Magnetic Radiations Model

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3073 Views

The detection of settlements without electricity challenge track (Track DSE) of the 2021 IEEE GRSS Data Fusion Contest, organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS), Hewlett Packard Enterprise, SolarAid, and Data Science Experts, aims to promote research in automatic detection of human settlements deprived of access to electricity using multimodal and multitemporal remote sensing data.

Last Updated On: 
Thu, 01/06/2022 - 03:33
Citation Author(s): 
Colin Prieur, Hana Malha, Frederic Ciesielski, Paul Vandame, Giorgio Licciardi, Jocelyn Chanussot, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya

This dataset is in support of my research paper 'Comparative Non-Linear Flux Matrices & Thermal Losses in BLDC with Different Pole Pairs' .

Preprint : https://doi.org/10.36227/techrxiv.19687287.v1

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3285 Views

Dataset for the meta-heuristics scheduling algorithm

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252 Views

A medium-scale synthetic 4D Light Field video dataset for depth (disparity) estimation. From the open-source movie Sintel. The dataset consists of 24 synthetic 4D LFVs with 1,204x436 pixels, 9x9 views, and 20–50 frames, and has ground-truth disparity values, so that can be used for training deep learning-based methods. Each scene was rendered with a clean pass after modifying the production file of Sintel with reference to the MPI Sintel dataset.

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1834 Views

Leaderboard (numbers are kW MAE):

Teams with more than 5 missing submissions are eliminated from the leaderboard.

 

Last Updated On: 
Wed, 11/17/2021 - 21:02

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