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A Dense Stereovision System for 3D Body Imaging

Description: Article presents a 3D body imaging system built upon stereovision technology which utilizes paired, high-resolution single-lens reflex (SLR) cameras to image the front and back body surfaces of a person, and robust and efficient stereo matching algorithms to reconstruct the 3D surface of the body with high-density data clouds.
Date: November 26, 2019
Creator: Yao, Ming & Xu, Bugao
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open access

Racism Detection by Analyzing Differential Opinions Through Sentiment Analysis of Tweets Using Stacked Ensemble GCR-NN Model

Description: This article presents a study detecting Tweets that contain racist text by performing the sentiment analysis of Tweets. The proposed GCR-NN model can detect 97% of the tweets that contain racist comments.
Date: January 18, 2022
Creator: Lee, Ernesto; Rustam, Furqan; Washington, Patrick Bernard; El Barakaz, Fatima; Aljedaani, Wajdi & Ashraf, Imran
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open access

Artificial Intelligence for Colonoscopy: Past, Present, and Future

Description: Article summarizing the past and present development of colonoscopy video analysis methods, focusing on two categories of artificial intelligence (AI) technologies used in clinical trials, (1) analysis and feedback for improving colonoscopy quality and (2) detection of abnormalities.
Date: August 2021
Creator: Tavanapong, Wallapak; Oh, JungHwan; Riegler, Michael; Khaleel, Mohammed I.; Mitta, Bhuvan & de Groen, Piet C.
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open access

3D-FHNet: Three-Dimensional Fusion Hierarchical Reconstruction Method for Any Number of Views

Description: Article proposes a three-dimensional fusion hierarchical reconstruction method that utilizes a multi-view feature combination method and a hierarchical prediction strategy to unify the single view and any number of multiple views 3D reconstructions.
Date: November 22, 2019
Creator: Lu, Qiang; Lu, Yiyang; Xiao, Mingjie; Yuan, Xiaohui & Jia, Wei
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open access

MyWear: A Novel Smart Garment for Automatic Continuous Vital Monitoring

Description: Accepted Manuscript version of an article presenting the design and development of a smart garment called MyWear that continuously monitors and collects physiological data. It can analyze muscle activity, stress levels, and heart rate variations and send all the data to the cloud. With a in-built alert system, it can notify the associated medical officials if necessary. The authors also propose a deep neural network model that classifies heartbeat data into abnormalities with 96.9% accuracy and… more
Date: June 3, 2021
Creator: Sethuraman, Sibi C.; Kompally, Pranav; Mohanty, Saraju P. & Choppali, Uma
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open access

HAR-Depth: A Novel Framework for Human Action Recognition Using Sequential Learning and Depth Estimated History Images

Description: This is the Accepted Manuscript version of an article that proposes HAR-Depth with sequential and shape learning along with the novel concept of depth history image (DHI) to address the challenges of Human action recognition (HAR). Results suggest that the proposed work of this paper performs better in terms of overall accuracy, kappa parameter and precision compared to the other state-of-the-art algorithms present in the earlier reported literature.
Date: August 24, 2020
Creator: Sahoo, Suraj Prakash; Ari, Samit; Mahapatra, Kamalakanta & Mohanty, Saraju P.
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open access

On Batch-Processing Based Coded Computing for Heterogeneous Distributed Computing Systems

Description: This article focuses on practical computing systems with heterogeneous computing resources, and designs a novel CDC approach, called batch-processing based coded computing (BPCC), which exploits the fact that every computing node can obtain some coded results before it completes the whole task. The scheme demonstrates promising performance in terms of high computational efficiency and robustness to uncertain disturbances.
Date: July 7, 2021
Creator: Wang, Baoqian; Xie, Junfei; Lu, Kejie; Wan, Yan & Fu, Shengli
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open access

Anchor Nodes Placement for Effective Passive Localization

Description: This paper discusses anchor nodes placement for effective passive localization. The authors show that, for effective passive localization, the optimal placement of the anchor nodes is at the center of the network in such a way that no three anchor nodes share linearity.
Date: 2011
Creator: Akl, Robert G.; Pasupathy, Karthikeyan & Haidar, Mohamad
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open access

Multilevel Topological Interference Management: A TIM-TIN Perspective

Description: Article combining TIN with the topological interference management (TIM) framework that identifies optimal interference avoidance schemes and formulates a TIM-TIN problem for multilevel topological interference management, wherein only a coarse knowledge of channel strengths and no knowledge of channel phases is available to transmitters.
Date: August 5, 2021
Creator: Geng, Chunhua; Sun, Hua & Jafar, Syed A.
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