11,304 Works

DCE-Mri of breast cancer and neoadjuvant chemotherapy

Xiaoyu Cui
This file includes code and data of the paper named Dynamic radiomics: a new methodology to extract quantitative time-related features from tomographic images

Leaves: India’s Most Famous Basil Plant Leaves Quality Dataset

Mrs.Disha Wankhede
Basil/Tulsi Plant is harvested in India because of some spiritual facts behind this plant,this plant is used for essential oil and pharmaceutical purpose. There are two types of Basil plants cultivated in India as Krushna Tulsi/Black Tulsi and Ram Tulsi/Green Tulsi.Many of the investigator working on disease detection in Basil leaves where the following diseases occur 1) Gray Mold 2) Basal Root Rot, Damping Off 3) Fusarium Wilt and Crown Rot4) Leaf Spot5) Downy MildewThe...

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...

Coronavirus (COVID-19) Tweets Dataset

Rabindra Lamsal
This dataset includes CSV files that contain IDs and sentiment scores of the tweets related to the COVID-19 pandemic. The tweets have been collected 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. This dataset has been wholly re-designed on March 20, 2020, to comply with the content redistribution policy set by Twitter.The...

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...

Data_For_A_Scalable_Privacy-Preserving_Multi-agent_Deep_Reinforcement_Learning_Approach_for_Large-Scale_Peer-to-Peer_Transactive_Energy _Trading

Yujian Ye
Data_For_A_Scalable_Privacy-Preserving_Multi-agent_Deep_Reinforcement_Learning_Approach_for_Large-Scale_Peer-to-Peer_Transactive_Energy _Trading

Videos for Three-dimensional Object Tracking in Panoramic Video and LiDAR for Radiological Source-Object Attribution and Improved Source Detection

Matthew Marshall, Daniel Hellfeld, Tenzing Joshi, Marco Salathe, Mark Bandstra, Kyle Bilton, Ren Cooper, Joseph Curtis, Victor Negut, Arthur Shurley & Kai Vetter
Networked detector systems can be deployed in urban environments to aid in the detection and localization of radiological and/or nuclear material. However, effectively responding to and interpreting a radiological alarm using spec- troscopic data alone may be hampered by a lack of situational awareness, particularly in complex environments. This study investigates the use of LiDAR and streaming video to enable real-time object detection and tracking, and the fusion of this tracking information with radiological data...

Holoscopic 3D Micro-Gesture Database

Yi Liu, Mohammad R. Swash & Hongying Meng
HoMG database was recorded using a holoscopic 3D camera, which have 3 conventional gestures from 40 participants under different settings and conditions. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array. For the purpose of H3D micro-gesture recognition. HoMG database has two subsets. The video subset has 960 videos and the image subset has 30635 images, while both have...

Holoscopic 3D Micro-Gesture Database

Yi Liu, Mohammad R. Swash & Hongying Meng
HoMG database was recorded using a holoscopic 3D camera, which have 3 conventional gestures from 40 participants under different settings and conditions. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array. For the purpose of H3D micro-gesture recognition. HoMG database has two subsets. The video subset has 960 videos and the image subset has 30635 images, while both have...

Simple Squamous Epethelium: Towards Reqularity Estimation using Lens-Less Microscopy?

Gradov Group
See our next articles.

Holoscopic 3D Micro-Gesture Database

Yi Liu, Mohammad R. Swash & Hongying Meng
HoMG database was recorded using a holoscopic 3D camera, which have 3 conventional gestures from 40 participants under different settings and conditions. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array. For the purpose of H3D micro-gesture recognition. HoMG database has two subsets. The video subset has 960 videos and the image subset has 30635 images, while both have...

Food/Non-food Image Classification

ghalib tahir & Loo Chu Kiong
Recently food recognition is a vital topic among researchers, as it automates the food logging process besides having applications in Food Safety, Food Quality Detection, Inspection, etc. The advancement in deep learning technology on edge computing and cloud computing leads to the development of hybrid solutions by considering the advantages of these computing platforms. For large scale, experiments, we gathered and prepared a Food/Non-Food dataset created from the existing image datasets of UECFOOD256, Caltech 256,...

Measurement and Simulation of Human Sitting and Standing Movement Biomechanics

Brokoslaw Laschowski, Reza Sharif Razavian & John McPhee
Previous studies of robotic exoskeletons and prostheses with regenerative actuators have focused exclusively on level-ground walking applications. Here we analyzed the lower-limb joint mechanical power during stand-to-sit movements using inverse dynamic simulations to estimate the biomechanical energy available for electrical regeneration. Nine subjects performed 20 sitting and standing movements while lower-limb kinematics and ground reaction forces were measured. Subject-specific body segment parameters were estimated using system parameter identification. Joint mechanical powers were calculated from net...

Measurement and Simulation of Human Sitting and Standing Movement Biomechanics

Brokoslaw Laschowski, Reza Sharif Razavian & John McPhee
Previous studies of robotic exoskeletons and prostheses with regenerative actuators have focused exclusively on level-ground walking applications. Here we analyzed the lower-limb joint mechanical power during stand-to-sit movements using inverse dynamic simulations to estimate the biomechanical energy available for electrical regeneration. Nine subjects performed 20 sitting and standing movements while lower-limb kinematics and ground reaction forces were measured. Subject-specific body segment parameters were estimated using system parameter identification. Joint mechanical powers were calculated from net...

Measurement and Simulation of Human Sitting and Standing Movement Biomechanics

Brokoslaw Laschowski, Reza Sharif Razavian & John McPhee
Previous studies of robotic exoskeletons and prostheses with regenerative actuators have focused exclusively on level-ground walking applications. Here we analyzed the lower-limb joint mechanical power during stand-to-sit movements using inverse dynamic simulations to estimate the biomechanical energy available for electrical regeneration. Nine subjects performed 20 sitting and standing movements while lower-limb kinematics and ground reaction forces were measured. Subject-specific body segment parameters were estimated using system parameter identification. Joint mechanical powers were calculated from net...

Measurement and Simulation of Human Sitting and Standing Movement Biomechanics

Brokoslaw Laschowski, Reza Sharif Razavian & John McPhee
Previous studies of robotic exoskeletons and prostheses with regenerative actuators have focused exclusively on level-ground walking applications. Here we analyzed the lower-limb joint mechanical power during stand-to-sit movements using inverse dynamic simulations to estimate the biomechanical energy available for electrical regeneration. Nine subjects performed 20 sitting and standing movements while lower-limb kinematics and ground reaction forces were measured. Subject-specific body segment parameters were estimated using system parameter identification. Joint mechanical powers were calculated from net...

Measurement and Simulation of Human Sitting and Standing Movement Biomechanics

Brokoslaw Laschowski, Reza Sharif Razavian & John McPhee
Previous studies of robotic exoskeletons and prostheses with regenerative actuators have focused exclusively on level-ground walking applications. Here we analyzed the lower-limb joint mechanical power during stand-to-sit movements using inverse dynamic simulations to estimate the biomechanical energy available for electrical regeneration. Nine subjects performed 20 sitting and standing movements while lower-limb kinematics and ground reaction forces were measured. Subject-specific body segment parameters were estimated using system parameter identification. Joint mechanical powers were calculated from net...

select_mmis_AISdata

Shenglong Yang
The select_mmsi.xls file is the MMIS number were selected. The information include the gear type of each vessel, the startdate and enddate of random selected 5000 position points. The txt files are the raw information of each position points for all vessel.

SSOCP Power Flow Optimization Results

Behnam Akbari & Giovanni Sansavini
This data set encompasses the optimal power flow and maximum loadability results related to the paper entitled “Sequential Convex Programming for Tightening Second-Order Cone AC Power Flow Relaxations”.

Coronavirus (COVID-19) Tweets Dataset

Rabindra Lamsal
This dataset includes CSV files that contain IDs and sentiment scores of the tweets related to the COVID-19 pandemic. The tweets have been collected 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. This dataset has been wholly re-designed on March 20, 2020, to comply with the content redistribution policy set by Twitter.The...

Online material 1 = TBME-01247-2020

Takashi Shirakawa
Online material 1 for the article:Towards a Clinical Implementation of Measuring the Elastic Modulus of the Aorta from Cardiac Computed Tomography Images

Online material 1 = TBME-01247-2020

Takashi Shirakawa
Online material 1 for the article:Towards a Clinical Implementation of Measuring the Elastic Modulus of the Aorta from Cardiac Computed Tomography Images

Online material 1 = TBME-01247-2020

Takashi Shirakawa
Online material 1 for the article:Towards a Clinical Implementation of Measuring the Elastic Modulus of the Aorta from Cardiac Computed Tomography Images

PHB measurements with DPSSL and incoherent light sources. Experiment B.

Ludmila S. Shibryaeva & Oleg V Gradov
It is only experimental data for paper supplement formation [draft version]. See our next articles for more details.

Honeysuckle flower: multiscale nervature detection using FFTW-based sofytware

Gradov Group
See our next articles.

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