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نمایش تعداد 1-10 از 13

"Hey #311, Come Clean My Street!": A Spatio-temporal Sentiment Analysis of Twitter Data and 311 Civil Complaints

نوع: Conference Paper

نویسنده : Eshleman, Ryan; Yang, Hui

ناشر: IEEE

سال: 2014

Indoor localization using unsupervised manifold alignment with geometry perturbation

نوع: Conference Paper

نویسنده : Majeed, Khaqan; Sorour, Sameh; Al-Naffouri, Tareq Y.; Valaee, Shahrokh

ناشر: IEEE

سال: 2014

An UV full-waveform airborne LiDAR as a demonstrator for future space missions dedicated to forest studies

نوع: Conference Paper

نویسنده : Shang, X.; Chazette, P.

ناشر: IEEE

سال: 2014

Simulation and evaluation of the auction based day ahead energy market via a Nash equilibrium model and zonal pricing

نوع: Conference Paper

نویسنده : Dotoli, Mariagrazia; Epicoco, Nicola; Turchiano, Biagio; Falagario, Marco; Sciancalepore, Fabio

ناشر: IEEE

سال: 2014

Upward and downward lightning observed at Tokyo Skytree

نوع: Conference Paper

نویسنده : Miki, Toru; Saito, Mikihisa; Shindo, Takatoshi; Tanaka, Daiki; Asakawa, Akira; Motoyama, Hideki; Ishii, Masaru; Suzuhigashi, Yusuke; Taguchi, Hiroshi

ناشر: IEEE

سال: 2014

Nerve block training phantom for use with ultrasound systems in low-resource environments

نوع: Conference Paper

نویسنده : Dubuc, E.A.; Rust, M.J.; Salmon, C.

ناشر: IEEE

سال: 2014

Judging hardness of an object from the sounds of tapping created by a white cane

نوع: Conference Paper

نویسنده : Nunokawa, K.; Seki, Y.; Ino, S.; Doi, K.

ناشر: IEEE

سال: 2014

Low-cost silicon photonic temperature sensor using broadband light source

نوع: Conference Paper

نویسنده : Deng, Qingzhong; Li, Xinbai; Chen, Ruobing; Zhou, Zhiping

ناشر: IEEE

سال: 2014

Adaptive estimation of the shear force in the cantilever dynamics of the Transverse Dynamic Force Microscope

نوع: Conference Paper

نویسنده : Nguyen, Thang; Edwards, Christopher; Herrmann, Guido; Hatano, Toshiaka; Burgess, Stuart C.; Miles, Mervyn

ناشر: IEEE

سال: 2014

An Effective Algorithm for Interest Aware Opportunistic Advertising by Mining Social and Consuming Information

نوع: Conference Paper

نویسنده : Lin, Chia-Yu; Jiang, Zhi-Feng; Wang, Li-Chun; Lin, Bao-Shuh Paul

ناشر: IEEE

سال: 2014

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"Hey #311, Come Clean My Street!": A Spatio-temporal Sentiment Analysis of Twitter Data and 311 Civil Complaints

Indoor localization using unsupervised manifold alignment with geometry perturbation

An UV full-waveform airborne LiDAR as a demonstrator for future space missions dedicated to forest studies

Simulation and evaluation of the auction based day ahead energy market via a Nash equilibrium model and zonal pricing

Upward and downward lightning observed at Tokyo Skytree

Nerve block training phantom for use with ultrasound systems in low-resource environments

Judging hardness of an object from the sounds of tapping created by a white cane

Low-cost silicon photonic temperature sensor using broadband light source

Adaptive estimation of the shear force in the cantilever dynamics of the Transverse Dynamic Force Microscope

An Effective Algorithm for Interest Aware Opportunistic Advertising by Mining Social and Consuming Information

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&#x0022;Hey #311, Come Clean My Street!&#x0022;: A Spatio-temporal Sentiment Analysis of Twitter Data and 311 Civil Complaints

Indoor localization using unsupervised manifold alignment with geometry perturbation

An UV full-waveform airborne LiDAR as a demonstrator for future space missions dedicated to forest studies

Simulation and evaluation of the auction based day ahead energy market via a Nash equilibrium model and zonal pricing

Upward and downward lightning observed at Tokyo Skytree

Nerve block training phantom for use with ultrasound systems in low-resource environments

Judging hardness of an object from the sounds of tapping created by a white cane

Low-cost silicon photonic temperature sensor using broadband light source

Adaptive estimation of the shear force in the cantilever dynamics of the Transverse Dynamic Force Microscope

An Effective Algorithm for Interest Aware Opportunistic Advertising by Mining Social and Consuming Information

"Hey #311, Come Clean My Street!": A Spatio-temporal Sentiment Analysis of Twitter Data and 311 Civil Complaints