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The Internet of Things (IoT) network integrating billions of smart physical devices embedded with sensors, software, and communication technologies is a critical and rapidly expanding component of our modern world.
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The internet of things: A survey
Luigi Atzori, Antonio Iera, and Giacomo Morabito · 2010
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Forecasting time series with complex seasonal patterns using exponential smoothing
Rob J. Hyndman Alysha M. De Livera and Ralph D. Snyder · 2011
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Practicing differential privacy in health care: A review
Fida Kamal Dankar and Khaled El Emam · 2013
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Vision meets robotics: The kitti dataset
A Geiger, P Lenz, C Stiller, and R Urtasun · 2013
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Healthcare applications of the internet of things: A review
Alok Kulkarni, Sampada Sathe, et al · 2014
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The internet of things: a survey
Shancang Li, Li Da Xu, and Shanshan Zhao · 2015
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A survey of physical activity monitoring and assessment using internet of things technology
Jun Qi, Po Yang, Dina Fan, and Zhikun Deng · 2015
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The internet of things: An overview
Karen Rose, Scott Eldridge, and Lyman Chapin · 2015
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The internet of things in healthcare: An overview
YIN Yuehong, Yan Zeng, Xing Chen, and Yuanjie Fan · 2016
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Iot real time data acquisition using mqtt protocol
R A Atmoko, R Riantini, and M K Hasin · 2017
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Differentially private federated learning: A client level perspective
Robin C Geyer, Tassilo Klein, and Moin Nabi · 2017
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Applying internet of things and machine-learning for personalized healthcare: Issues and challenges
Farhad Ahamed and Farnaz Farid · 2018
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Deep inertial poser: Learning to reconstruct human pose from sparse inertial measurements in real time
Yinghao Huang, Manuel Kaufmann, Emre Aksan, Michael J. Black, Otmar Hilliges, and Gerard Pons-Moll · 2018
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Smart traffic management system using internet of things
Sabeen Javaid, Ali Sufian, Saima Pervaiz, and Mehak Tanveer · 2018
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Real-time analysis of a sensor’s data for automated decision making in an iot-based smart home
Nida Saddaf Khan, Sayeed Ghani, and Sajjad Haider · 2018
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Federated optimization in heterogeneous networks
Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, and Virginia Smith · 2018
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Bias amplification in artificial intelligence systems
Kirsten Lloyd · 2018
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Multimodal machine learning: A survey and taxonomy
Tadas Baltrušaitis, Chaitanya Ahuja, and Louis-Philippe Morency · 2019
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Anomaly detection for iot time-series data: A survey
Andrew A. Cook, Göksel Mısırlı, and Zhong Fan · 2019
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Iot for smart cities: Machine learning approaches in smart healthcare—a review
Taher M Ghazal, Mohammad Kamrul Hasan, Muhammad Turki Alshurideh, Haitham M Alzoubi, Munir Ahmad, Syed Shehryar Akbar, Barween Al Kurdi, and Iman A Akour · 2021
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A survey on federated learning for resource-constrained iot devices
Ahmed Imteaj, Urmish Thakker, Shiqiang Wang, Jian Li, and M. Hadi Amini · 2021
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Llvip: A visible-infrared paired dataset for low-light vision
Xinyu Jia, Chuang Zhu, Minzhen Li, Wenqi Tang, and Wenli Zhou · 2021
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Public blockchains for resource-constrained iot devices—a state-of-the-art survey
Jing Huey Khor, Michail Sidorov, and Peh Yee Woon · 2021
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Eyemu interactions: Gaze + imu gestures on mobile devices
Andy Kong, Karan Ahuja, Mayank Goel, and Chris Harrison · 2021
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Post-quantum cryptoprocessors optimized for edge and resource-constrained devices in iot
Shahriar Ebrahimi, Siavash Bayat-Sarmadi, and Hatameh Mosanaei-Boorani · 2019
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Vilbert: pretraining task-agnostic visiolinguistic representations for vision-and-language tasks
Jiasen Lu, Dhruv Batra, Devi Parikh, and Stefan Lee · 2019
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Energy and policy considerations for deep learning in nlp
Emma Strubell, Ananya Ganesh, and Andrew McCallum · 2019
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Multimodal transformer for unaligned multimodal language sequences
Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J Zico Kolter, Louis-Philippe Morency, and Ruslan Salakhutdinov · 2019
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A review of machine learning and iot in smart transportation
Fotios Zantalis, Grigorios Koulouras, Sotiris Karabetsos, and Dionisis Kandris · 2019
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Machine learning and data analytics for the iot
Erwin Adi, Adnan Anwar, Zubair Baig, and Sherali Zeadally · 2020
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Artificial intelligence and internet of things for autonomous vehicles
Hamid Khayyam, Bahman Javadi, Mahdi Jalili, and Reza N Jazar · 2020
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Nabila Sabrin Sworna, AKM Muzahidul Islam, Swakkhar Shatabda, and Salekul Islam · 2021
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Rgbdgaze: Gaze tracking on smartphones with RGB and depth data
Riku Arakawa, Mayank Goel, Chris Harrison, and Karan Ahuja · 2022
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High-modality multimodal transformer: Quantifying modality & interaction heterogeneity for high-modality representation learning
Paul Pu Liang, Yiwei Lyu, Xiang Fan, Jeffrey Tsaw, Yudong Liu, Shentong Mo, Dani Yogatama, Louis-Philippe Morency, and Russ Salakhutdinov · 2022
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Samosa: Sensing activities with motion and subsampled audio
Vimal Mollyn, Karan Ahuja, Dhruv Verma, Chris Harrison, and Mayank Goel · 2022
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A generalist agent
Scott Reed, Konrad Zolna, Emilio Parisotto, Sergio Gómez Colmenarejo, Alexander Novikov, Gabriel Barth-maron, Mai Giménez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, et al · 2022
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Llama-adapter v2: Parameter-efficient visual instruction model
Peng Gao, Jiaming Han, Renrui Zhang, Ziyi Lin, Shijie Geng, Aojun Zhou, Wei Zhang, Pan Lu, Conghui He, Xiangyu Yue, Hongsheng Li, and Yu Qiao · 2023
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Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed · 2023
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Foundations & trends in multimodal machine learning: Principles, challenges, and open questions
Paul Pu Liang, Amir Zadeh, and Louis-Philippe Morency · 2023
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Gpt-4 technical report, 2023
OpenAI · 2023
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Minigpt-4: Enhancing vision-language understanding with advanced large language models
Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, and Mohamed Elhoseiny · 2023
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Gemini: A family of highly capable multimodal models
Google · 2024
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