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Methane Leak Detection and Localization Using Wireless Sensor Networks for Remote Oil and Gas Operations., , , , , , и . IEEE SENSORS, стр. 1-4. IEEE, (2018)Distributed wireless sensing for fugitive methane leak detection., , , , , , и . IEEE BigData, стр. 4583-4591. IEEE Computer Society, (2017)AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing., , , , , , , , , и 2 other автор(ы). EDGE, стр. 233-244. IEEE, (2023)A method for rapid screening of various low-k TDDB models., , , , , , и . IRPS, стр. 3. IEEE, (2015)Source Localization and Bayesian leak magnitude inference of sparse wireless sensor data to detect fugitive methane leak., , , и . IEEE Big Data, стр. 4868-4875. IEEE, (2022)Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited)., , , , , , , , , и 13 other автор(ы). ISCAS, стр. 1-5. IEEE, (2023)A low maintenance particle pollution sensing system using the Minimum Airflow Particle Counter (MAPC)., , , , , и . IEEE BigData, стр. 4577-4582. IEEE Computer Society, (2017)Satellite Guided Mobile Wireless Methane Detection for Oil and Gas Operations., , , , и . WF-IoT, стр. 1-4. IEEE, (2020)A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh., , , , , , , , , и 5 other автор(ы). IEEE Trans. Very Large Scale Integr. Syst., 31 (1): 114-127 (2023)Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited)., , , , , , , , , и 11 other автор(ы). IRPS, стр. 1-10. IEEE, (2023)