CosMAC: Constellation-Aware Medium Access and Scheuduling for IoT Satellites
Jayanth Shenoy, Om Chabra, Tusher Chakraborty, Suraj Jog, Deepak Vasisth, Ranveer Chandra
ACM MobiCom | November 2024
论文与出版物
论文与出版物
按年份分类的论文与出版物
-
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning
Nick Mecklenburg, Yiyou Lin, Xiaoxiao Li, Daniel Holstein, Leonardo Nunes, Sara Malvar, Bruno Silva, Ranveer Chandra, Vijay Aski, Pavan Kumar Reddy Yannam, Tolga Aktas
ArXiv | April 2024
Spectrumize: Spectrum-efficient Satellite Networks for the Internet of Things
Vaibhav Singh, Tusher Chakraborty, Suraj Jog, Om Chabra, Deepak Vasisht , Ranveer Chandra
USENIX NSDI | April 2024
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra
January 2024
-
GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models
Bruno Silva, Leonardo Nunes, Roberto Estevão, Vijay Aski, Ranveer Chandra
October 2023
AgriTera: Accurate Non-Invasive Fruit Ripeness Sensing via Sub-Terahertz Wireless Signals
Sayed Saad Afzal, Atsutse Kludze, Subhajit Karmakar, Ranveer Chandra, Yasaman Ghasempour
ACM MobiCom | October 2023
Best Paper
An Iterative Method for Hyperspectral Pixel Unmixing Leveraging Latent Dirichlet Variational Autoencoder
Kiran Mantripragada, Paul R. Adler, Peder Olsen, Faisal Z. Qureshi
IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium | July 2023, pp. 7527-7530
-
Source Attribution and Emissions Quantification for Methane Leak Detection: A Non-Linear Bayesian Regression Approach
Mirco Milletari, Sara Malvar, Yagna Oruganti, Leonardo Nunes, Yazeed Alaudah, Anirudh Badam
The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science | September 2022
Best Paper Award Special Mention
Whisper: IoT in the TV White Space Spectrum
Tusher Chakraborty, Heping Shi, Zerina Kapetanovic, Bodhi Priyantha, Deepak Vasisht, Andrew Nelson, Parag Pandit, Prasad Pillai, Yaswant Chabria, Binh Vu, Ranveer Chandra
USENIX NSDI 2022 | March 2022
Democratizing Data-Driven Agriculture Using Affordable Hardware
Ranveer Chandra, Swami Manohar, Tusher Chakraborty, Jian Ding, Zerina Kapetanovic, Peeyush Kumar, Deepak Vasisht
IEEE Micro | January 2022, 第 42 卷(1): pp. 69-77
-
Unsupervised Machine Learning framework for sensor placement optimization: analyzing methane leaks
Shirui Wang, Sara Malvar, Leonardo Nunes, Kim Whitehall, Yagna Oruganti, Yazeed Alaudah, Anirudh Badam
NeurIPS 2021 Workshop Tackling Climate Change with Machine Learning | December 2021
Digital Agriculture for Small-Scale Producers: Challenges and Opportunities
Ranveer Chandra, Stewart Collis
Communications of the ACM | December 2021, 第 64 卷(12): pp. 75-84
Visage: Enabling Timely Analytics for Drone Imagery
Sagar Jha, Youjie Li, Shadi Noghabi, Vaishnavi Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta Sinha, Ranveer Chandra, Anirudh Badam
MobiCom ’21 | October 2021
Low-cost In-ground Soil Moisture Sensing with Radar Backscatter Tags
Colleen Josephson, Manikanta Kotaru, Keith Winstein, Sachin Katti, Ranveer Chandra
ACM COMPASS | September 2021
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
Farmer and farm worker illnesses and deaths from COVID-19 and impacts on agricultural output
Jayson Lusk, Ranveer Chandra
PLOS ONE | April 2021, 第 16 卷(4)
-
Perspective: white space networking with wi-fi like connectivity
Ranveer Chandra, Thomas Moscibroda
Computer Communications Review | December 2019, 第 49 卷(5): pp. 107-109
Towards Low Cost Soil Sensing Using Wi-Fi
Jian Ding, Ranveer Chandra
MobiCom 2019 | October 2019
ACM MobiCom 2019 Best Paper Runner Up
FarmBeats: Improving Farm Productivity Using Data-Driven Agriculture
Zerina Kapetanovic, Ranveer Chandra, Tusher Chakraborty, Andrew Nelson
SIAM News | July 2019
https://sinews.siam.org/Details-Page/farmbeats-improving-farm-productivity-using-data-driven-agriculture
Low-Cost Aerial Imaging for Small Holder Farmers
Vasuki Narasimha Swamy, Akshit Kumar, Rohit Patil, Aditya Jain, Zerina Kapetanovic, Rahul Sharma, Deepak Vasisht, Ranveer Chandra, Swami Manohar, Anirudh Badam, Gireeja Ranade, Sudipta Sinha, Akshay Nambi
ACM Compass 2019 | July 2019
ACM COMPASS 2019 Best Paper Award
-
Fall-curve: A novel primitive for IoT Fault Detection and Isolation
Tusher Chakraborty, Akshay Nambi, Ranveer Chandra, Rahul Sharma, Swami Manohar, Zerina Kapetanovic, Jonathan Appavoo
ACM SenSys | November 2018
Bill Gates features FarmBeats on GatesNotes
November 2018
Sensor Identification and Fault Detection in IoT Systems
Tusher Chakraborty, Akshay Nambi, Rahul Sharma, Ranveer Chandra, Swami Manohar, Zerina Kapetanovic
ACM SenSys (Demo) | November 2018
Estimating Soil Moisture and Electrical Conductivity Using Wi-Fi
Jian Ding, Ranveer Chandra
MSR-TR-2018-29 | October 2018
Learning to Align Images using Weak Geometric Supervision
Jing Dong, Byron Boots, Frank Dellaert, Ranveer Chandra, Sudipta Sinha
International Conference on 3DVision | September 2018
FarmBeats: Automating Data Aggregation
Farm Policy Journal | August 2018, 第 15 卷: pp. 7-16
-
Enabling Reliable, Asynchronous, and Bidirectional Communication in Sensor Networks over White Spaces
Abusayeed Saifullah, Mahbubur Rehman, Dali Ismail, Chenyang Lu, Jie Liu, Ranveer Chandra
ACM Conference on Embedded Networked Sensor Systems (SenSys’17) | November 2017
Experiences Deploying an Always-on Farm Network
Zerina Kapetanovic, Deepak Vasisht, Jongho Won, Ranveer Chandra, Mark Kimball
ACM GetMobile: Mobile Computing and Communications | June 2017, 第 21 卷
FarmBeats: An IoT Platform for Data-Driven Agriculture
Deepak Vasisht, Zerina Kapetanovic, JongHo Won, Xinxin Jin, Ranveer Chandra, Sudipta Sinha, Ashish Kapoor
Networked Systems Design and Implementation (NSDI) | March 2017
按研究领域分类的论文与出版物
-
CosMAC: Constellation-Aware Medium Access and Scheuduling for IoT Satellites
Jayanth Shenoy, Om Chabra, Tusher Chakraborty, Suraj Jog, Deepak Vasisth, Ranveer Chandra
ACM MobiCom | November 2024
Spectrumize: Spectrum-efficient Satellite Networks for the Internet of Things
Vaibhav Singh, Tusher Chakraborty, Suraj Jog, Om Chabra, Deepak Vasisht , Ranveer Chandra
USENIX NSDI | April 2024
AgriTera: Accurate Non-Invasive Fruit Ripeness Sensing via Sub-Terahertz Wireless Signals
Sayed Saad Afzal, Atsutse Kludze, Subhajit Karmakar, Ranveer Chandra, Yasaman Ghasempour
ACM MobiCom | October 2023
Best Paper
Whisper: IoT in the TV White Space Spectrum
Tusher Chakraborty, Heping Shi, Zerina Kapetanovic, Bodhi Priyantha, Deepak Vasisht, Andrew Nelson, Parag Pandit, Prasad Pillai, Yaswant Chabria, Binh Vu, Ranveer Chandra
USENIX NSDI 2022 | March 2022
Democratizing Data-Driven Agriculture Using Affordable Hardware
Ranveer Chandra, Swami Manohar, Tusher Chakraborty, Jian Ding, Zerina Kapetanovic, Peeyush Kumar, Deepak Vasisht
IEEE Micro | January 2022, 第 42 卷(1): pp. 69-77
Digital Agriculture for Small-Scale Producers: Challenges and Opportunities
Ranveer Chandra, Stewart Collis
Communications of the ACM | December 2021, 第 64 卷(12): pp. 75-84
Visage: Enabling Timely Analytics for Drone Imagery
Sagar Jha, Youjie Li, Shadi Noghabi, Vaishnavi Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta Sinha, Ranveer Chandra, Anirudh Badam
MobiCom ’21 | October 2021
Low-cost In-ground Soil Moisture Sensing with Radar Backscatter Tags
Colleen Josephson, Manikanta Kotaru, Keith Winstein, Sachin Katti, Ranveer Chandra
ACM COMPASS | September 2021
Farmer and farm worker illnesses and deaths from COVID-19 and impacts on agricultural output
Jayson Lusk, Ranveer Chandra
PLOS ONE | April 2021, 第 16 卷(4)
Perspective: white space networking with wi-fi like connectivity
Ranveer Chandra, Thomas Moscibroda
Computer Communications Review | December 2019, 第 49 卷(5): pp. 107-109
Towards Low Cost Soil Sensing Using Wi-Fi
Jian Ding, Ranveer Chandra
MobiCom 2019 | October 2019
ACM MobiCom 2019 Best Paper Runner Up
FarmBeats: Improving Farm Productivity Using Data-Driven Agriculture
Zerina Kapetanovic, Ranveer Chandra, Tusher Chakraborty, Andrew Nelson
SIAM News | July 2019
https://sinews.siam.org/Details-Page/farmbeats-improving-farm-productivity-using-data-driven-agriculture
Low-Cost Aerial Imaging for Small Holder Farmers
Vasuki Narasimha Swamy, Akshit Kumar, Rohit Patil, Aditya Jain, Zerina Kapetanovic, Rahul Sharma, Deepak Vasisht, Ranveer Chandra, Swami Manohar, Anirudh Badam, Gireeja Ranade, Sudipta Sinha, Akshay Nambi
ACM Compass 2019 | July 2019
ACM COMPASS 2019 Best Paper Award
Fall-curve: A novel primitive for IoT Fault Detection and Isolation
Tusher Chakraborty, Akshay Nambi, Ranveer Chandra, Rahul Sharma, Swami Manohar, Zerina Kapetanovic, Jonathan Appavoo
ACM SenSys | November 2018
Sensor Identification and Fault Detection in IoT Systems
Tusher Chakraborty, Akshay Nambi, Rahul Sharma, Ranveer Chandra, Swami Manohar, Zerina Kapetanovic
ACM SenSys (Demo) | November 2018
Bill Gates features FarmBeats on GatesNotes
November 2018
Estimating Soil Moisture and Electrical Conductivity Using Wi-Fi
Jian Ding, Ranveer Chandra
MSR-TR-2018-29 | October 2018
Learning to Align Images using Weak Geometric Supervision
Jing Dong, Byron Boots, Frank Dellaert, Ranveer Chandra, Sudipta Sinha
International Conference on 3DVision | September 2018
FarmBeats: Automating Data Aggregation
Farm Policy Journal | August 2018, 第 15 卷: pp. 7-16
Enabling Reliable, Asynchronous, and Bidirectional Communication in Sensor Networks over White Spaces
Abusayeed Saifullah, Mahbubur Rehman, Dali Ismail, Chenyang Lu, Jie Liu, Ranveer Chandra
ACM Conference on Embedded Networked Sensor Systems (SenSys’17) | November 2017
Experiences Deploying an Always-on Farm Network
Zerina Kapetanovic, Deepak Vasisht, Jongho Won, Ranveer Chandra, Mark Kimball
ACM GetMobile: Mobile Computing and Communications | June 2017, 第 21 卷
FarmBeats: An IoT Platform for Data-Driven Agriculture
Deepak Vasisht, Zerina Kapetanovic, JongHo Won, Xinxin Jin, Ranveer Chandra, Sudipta Sinha, Ashish Kapoor
Networked Systems Design and Implementation (NSDI) | March 2017
-
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning
Nick Mecklenburg, Yiyou Lin, Xiaoxiao Li, Daniel Holstein, Leonardo Nunes, Sara Malvar, Bruno Silva, Ranveer Chandra, Vijay Aski, Pavan Kumar Reddy Yannam, Tolga Aktas
ArXiv | April 2024
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra
January 2024
GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models
Bruno Silva, Leonardo Nunes, Roberto Estevão, Vijay Aski, Ranveer Chandra
October 2023
An Iterative Method for Hyperspectral Pixel Unmixing Leveraging Latent Dirichlet Variational Autoencoder
Kiran Mantripragada, Paul R. Adler, Peder Olsen, Faisal Z. Qureshi
IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium | July 2023, pp. 7527-7530
Source Attribution and Emissions Quantification for Methane Leak Detection: A Non-Linear Bayesian Regression Approach
Mirco Milletari, Sara Malvar, Yagna Oruganti, Leonardo Nunes, Yazeed Alaudah, Anirudh Badam
The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science | September 2022
Best Paper Award Special Mention
Unsupervised Machine Learning framework for sensor placement optimization: analyzing methane leaks
Shirui Wang, Sara Malvar, Leonardo Nunes, Kim Whitehall, Yagna Oruganti, Yazeed Alaudah, Anirudh Badam
NeurIPS 2021 Workshop Tackling Climate Change with Machine Learning | December 2021
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
Experiences Deploying an Always-on Farm Network
Zerina Kapetanovic, Deepak Vasisht, Jongho Won, Ranveer Chandra, Mark Kimball
ACM GetMobile: Mobile Computing and Communications | June 2017, 第 21 卷
FarmBeats: An IoT Platform for Data-Driven Agriculture
Deepak Vasisht, Zerina Kapetanovic, JongHo Won, Xinxin Jin, Ranveer Chandra, Sudipta Sinha, Ashish Kapoor
Networked Systems Design and Implementation (NSDI) | March 2017
-
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning
Nick Mecklenburg, Yiyou Lin, Xiaoxiao Li, Daniel Holstein, Leonardo Nunes, Sara Malvar, Bruno Silva, Ranveer Chandra, Vijay Aski, Pavan Kumar Reddy Yannam, Tolga Aktas
ArXiv | April 2024
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra
January 2024
-
An Iterative Method for Hyperspectral Pixel Unmixing Leveraging Latent Dirichlet Variational Autoencoder
Kiran Mantripragada, Paul R. Adler, Peder Olsen, Faisal Z. Qureshi
IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium | July 2023, pp. 7527-7530
Learning to Align Images using Weak Geometric Supervision
Jing Dong, Byron Boots, Frank Dellaert, Ranveer Chandra, Sudipta Sinha
International Conference on 3DVision | September 2018
FarmBeats: An IoT Platform for Data-Driven Agriculture
Deepak Vasisht, Zerina Kapetanovic, JongHo Won, Xinxin Jin, Ranveer Chandra, Sudipta Sinha, Ashish Kapoor
Networked Systems Design and Implementation (NSDI) | March 2017
-
An Iterative Method for Hyperspectral Pixel Unmixing Leveraging Latent Dirichlet Variational Autoencoder
Kiran Mantripragada, Paul R. Adler, Peder Olsen, Faisal Z. Qureshi
IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium | July 2023, pp. 7527-7530
Source Attribution and Emissions Quantification for Methane Leak Detection: A Non-Linear Bayesian Regression Approach
Mirco Milletari, Sara Malvar, Yagna Oruganti, Leonardo Nunes, Yazeed Alaudah, Anirudh Badam
The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science | September 2022
Best Paper Award Special Mention
Unsupervised Machine Learning framework for sensor placement optimization: analyzing methane leaks
Shirui Wang, Sara Malvar, Leonardo Nunes, Kim Whitehall, Yagna Oruganti, Yazeed Alaudah, Anirudh Badam
NeurIPS 2021 Workshop Tackling Climate Change with Machine Learning | December 2021
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
-
Unsupervised Machine Learning framework for sensor placement optimization: analyzing methane leaks
Shirui Wang, Sara Malvar, Leonardo Nunes, Kim Whitehall, Yagna Oruganti, Yazeed Alaudah, Anirudh Badam
NeurIPS 2021 Workshop Tackling Climate Change with Machine Learning | December 2021
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
Low-Cost Aerial Imaging for Small Holder Farmers
Vasuki Narasimha Swamy, Akshit Kumar, Rohit Patil, Aditya Jain, Zerina Kapetanovic, Rahul Sharma, Deepak Vasisht, Ranveer Chandra, Swami Manohar, Anirudh Badam, Gireeja Ranade, Sudipta Sinha, Akshay Nambi
ACM Compass 2019 | July 2019
ACM COMPASS 2019 Best Paper Award
-
Fall-curve: A novel primitive for IoT Fault Detection and Isolation
Tusher Chakraborty, Akshay Nambi, Ranveer Chandra, Rahul Sharma, Swami Manohar, Zerina Kapetanovic, Jonathan Appavoo
ACM SenSys | November 2018
Sensor Identification and Fault Detection in IoT Systems
Tusher Chakraborty, Akshay Nambi, Rahul Sharma, Ranveer Chandra, Swami Manohar, Zerina Kapetanovic
ACM SenSys (Demo) | November 2018
Experiences Deploying an Always-on Farm Network
Zerina Kapetanovic, Deepak Vasisht, Jongho Won, Ranveer Chandra, Mark Kimball
ACM GetMobile: Mobile Computing and Communications | June 2017, 第 21 卷
按类型分类的论文与出版物
-
CosMAC: Constellation-Aware Medium Access and Scheuduling for IoT Satellites
Jayanth Shenoy, Om Chabra, Tusher Chakraborty, Suraj Jog, Deepak Vasisth, Ranveer Chandra
ACM MobiCom | November 2024
Spectrumize: Spectrum-efficient Satellite Networks for the Internet of Things
Vaibhav Singh, Tusher Chakraborty, Suraj Jog, Om Chabra, Deepak Vasisht , Ranveer Chandra
USENIX NSDI | April 2024
AgriTera: Accurate Non-Invasive Fruit Ripeness Sensing via Sub-Terahertz Wireless Signals
Sayed Saad Afzal, Atsutse Kludze, Subhajit Karmakar, Ranveer Chandra, Yasaman Ghasempour
ACM MobiCom | October 2023
Best Paper
Source Attribution and Emissions Quantification for Methane Leak Detection: A Non-Linear Bayesian Regression Approach
Mirco Milletari, Sara Malvar, Yagna Oruganti, Leonardo Nunes, Yazeed Alaudah, Anirudh Badam
The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science | September 2022
Best Paper Award Special Mention
Whisper: IoT in the TV White Space Spectrum
Tusher Chakraborty, Heping Shi, Zerina Kapetanovic, Bodhi Priyantha, Deepak Vasisht, Andrew Nelson, Parag Pandit, Prasad Pillai, Yaswant Chabria, Binh Vu, Ranveer Chandra
USENIX NSDI 2022 | March 2022
Unsupervised Machine Learning framework for sensor placement optimization: analyzing methane leaks
Shirui Wang, Sara Malvar, Leonardo Nunes, Kim Whitehall, Yagna Oruganti, Yazeed Alaudah, Anirudh Badam
NeurIPS 2021 Workshop Tackling Climate Change with Machine Learning | December 2021
Visage: Enabling Timely Analytics for Drone Imagery
Sagar Jha, Youjie Li, Shadi Noghabi, Vaishnavi Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta Sinha, Ranveer Chandra, Anirudh Badam
MobiCom ’21 | October 2021
Low-cost In-ground Soil Moisture Sensing with Radar Backscatter Tags
Colleen Josephson, Manikanta Kotaru, Keith Winstein, Sachin Katti, Ranveer Chandra
ACM COMPASS | September 2021
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
Towards Low Cost Soil Sensing Using Wi-Fi
Jian Ding, Ranveer Chandra
MobiCom 2019 | October 2019
ACM MobiCom 2019 Best Paper Runner Up
Low-Cost Aerial Imaging for Small Holder Farmers
Vasuki Narasimha Swamy, Akshit Kumar, Rohit Patil, Aditya Jain, Zerina Kapetanovic, Rahul Sharma, Deepak Vasisht, Ranveer Chandra, Swami Manohar, Anirudh Badam, Gireeja Ranade, Sudipta Sinha, Akshay Nambi
ACM Compass 2019 | July 2019
ACM COMPASS 2019 Best Paper Award
Fall-curve: A novel primitive for IoT Fault Detection and Isolation
Tusher Chakraborty, Akshay Nambi, Ranveer Chandra, Rahul Sharma, Swami Manohar, Zerina Kapetanovic, Jonathan Appavoo
ACM SenSys | November 2018
Sensor Identification and Fault Detection in IoT Systems
Tusher Chakraborty, Akshay Nambi, Rahul Sharma, Ranveer Chandra, Swami Manohar, Zerina Kapetanovic
ACM SenSys (Demo) | November 2018
Learning to Align Images using Weak Geometric Supervision
Jing Dong, Byron Boots, Frank Dellaert, Ranveer Chandra, Sudipta Sinha
International Conference on 3DVision | September 2018
Enabling Reliable, Asynchronous, and Bidirectional Communication in Sensor Networks over White Spaces
Abusayeed Saifullah, Mahbubur Rehman, Dali Ismail, Chenyang Lu, Jie Liu, Ranveer Chandra
ACM Conference on Embedded Networked Sensor Systems (SenSys’17) | November 2017
FarmBeats: An IoT Platform for Data-Driven Agriculture
Deepak Vasisht, Zerina Kapetanovic, JongHo Won, Xinxin Jin, Ranveer Chandra, Sudipta Sinha, Ashish Kapoor
Networked Systems Design and Implementation (NSDI) | March 2017
-
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning
Nick Mecklenburg, Yiyou Lin, Xiaoxiao Li, Daniel Holstein, Leonardo Nunes, Sara Malvar, Bruno Silva, Ranveer Chandra, Vijay Aski, Pavan Kumar Reddy Yannam, Tolga Aktas
ArXiv | April 2024
An Iterative Method for Hyperspectral Pixel Unmixing Leveraging Latent Dirichlet Variational Autoencoder
Kiran Mantripragada, Paul R. Adler, Peder Olsen, Faisal Z. Qureshi
IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium | July 2023, pp. 7527-7530
Democratizing Data-Driven Agriculture Using Affordable Hardware
Ranveer Chandra, Swami Manohar, Tusher Chakraborty, Jian Ding, Zerina Kapetanovic, Peeyush Kumar, Deepak Vasisht
IEEE Micro | January 2022, 第 42 卷(1): pp. 69-77
Digital Agriculture for Small-Scale Producers: Challenges and Opportunities
Ranveer Chandra, Stewart Collis
Communications of the ACM | December 2021, 第 64 卷(12): pp. 75-84
Farmer and farm worker illnesses and deaths from COVID-19 and impacts on agricultural output
Jayson Lusk, Ranveer Chandra
PLOS ONE | April 2021, 第 16 卷(4)
Perspective: white space networking with wi-fi like connectivity
Ranveer Chandra, Thomas Moscibroda
Computer Communications Review | December 2019, 第 49 卷(5): pp. 107-109
FarmBeats: Improving Farm Productivity Using Data-Driven Agriculture
Zerina Kapetanovic, Ranveer Chandra, Tusher Chakraborty, Andrew Nelson
SIAM News | July 2019
https://sinews.siam.org/Details-Page/farmbeats-improving-farm-productivity-using-data-driven-agriculture
FarmBeats: Automating Data Aggregation
Farm Policy Journal | August 2018, 第 15 卷: pp. 7-16
Experiences Deploying an Always-on Farm Network
Zerina Kapetanovic, Deepak Vasisht, Jongho Won, Ranveer Chandra, Mark Kimball
ACM GetMobile: Mobile Computing and Communications | June 2017, 第 21 卷
-
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra
January 2024
GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models
Bruno Silva, Leonardo Nunes, Roberto Estevão, Vijay Aski, Ranveer Chandra
October 2023
-
Bill Gates features FarmBeats on GatesNotes
November 2018
-
Estimating Soil Moisture and Electrical Conductivity Using Wi-Fi
Jian Ding, Ranveer Chandra
MSR-TR-2018-29 | October 2018