Search Results - "2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS)"

Graph Neural Networks-based Clustering for Social Internet of Things by Khanfor, Abdullah, Nammouchi, Amal, Ghazzai, Hakim, Yang, Ye, Haider, Mohammad R., Massoud, Yehia

“…In this paper, we propose a machine learning process for clustering large-scale social Internet-of-things (SIoT) devices into several groups of related devices…”
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Improving the Accuracy of Diabetic Retinopathy Severity Classification with Transfer Learning by Thota, Narayana Bhagirath, Umma Reddy, Doshna

“…Diabetic Retinopathy (DR) is a major cause of blindness in Diabetic patients, and its early detection benefits diagnosis and subsequent treatment methods. In…”
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Unsupervised Clustering of COVID-19 Chest X-Ray Images with a Self-Organizing Feature Map by King, Bayley, Barve, Siddharth, Ford, Andrew, Jha, Rashmi

“…Machine learning approaches are gaining popularity in the medical field for diagnostics, predictive analytics and general research. With data often being…”
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Memristor-CNTFET based Ternary Full Adders by Mohammaden, Amr, Fouda, Mohammed E., Said, Lobna A., Radwan, Ahmed G.

“…Recently multilevel systems are one of the hottest topics in the digital electronics field. Multi-level logic (MVL) overcomes the issues of interconnections…”
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Computational Resource Allocation for Edge Computing in Social Internet-of-Things by Khanfor, Abdullah, Hamadi, Raby, Ghazzai, Hakim, Yang, Ye, Haider, Mohammad Rafiqul, Massoud, Yehia

“…The heterogeneity of the Internet-of-things (IoT) network can be exploited as a dynamic computational resource environment for many devices lacking…”
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Recent Advancements in Microarchitectural Security: Review of Machine Learning Countermeasures by Sayadi, Hossein, Wang, Han, Miari, Tahereh, Makrani, Hosein Mohammadi, Aliasgari, Mehrdad, Rafatirad, Setareh, Homayoun, Houman

“…Recent microarchitectural security countermeasures by employing applications' low-level features collected from Hardware Performance Counters (HPCs) registers…”
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A Case for Lifetime Reliability-Aware Neuromorphic Computing by Song, Shihao, Das, Anup

“…Neuromorphic computing with non-volatile memory (NVM) can significantly improve performance and lower energy consumption of machine learning tasks implemented…”
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Understanding and Comparing the Capabilities of On-Chip Voltage Sensors against Remote Power Attacks on FPGAs by Moini, Shayan, Li, Xiang, Stanwicks, Peter, Provelengios, George, Burleson, Wayne, Tessier, Russell, Holcomb, Daniel

“…This paper presents a study of two types of on-chip FPGA voltage sensors based on ring oscillators (ROs) and time-to-digital converter (TDCs), respectively…”
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Human Activity Recognition From Multi-modal Wearable Sensor Data Using Deep Multi-stage LSTM Architecture Based on Temporal Feature Aggregation by Mahmud, Tanvir, Akash, Shaimur Salehin, Fattah, Shaikh Anowarul, Zhu, Wei-Ping, Ahmad, M. Omair

“…Activity recognition from wearable sensors is a promising field of research with a wide variety of applications to track human activity from distant positions…”
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Modeling of Magnetoelectric Antennas for Circuit Simulations in Magnetic Sensing Applications by Martos-Repath, Isabel, Mittal, Ankit, Zaeimbashi, Mohsen, Das, Diptashree, Sun, Nian X., Shrivastava, Aatmesh, Onabajo, Marvin

“…This paper introduces a behavioral circuit model for a magnetoelectric (ME) antenna, which is a novel miniaturized device with applications in low-power…”
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A Fully Synthesizable, 0.3V, 10nW Rail-to-rail Dynamic Voltage Comparator by Zou, Xuncheng, Nakatake, Shigetoshi

“…A fully synthesizable rail-to-rail dynamic voltage comparator is presented, which can operate at the supply voltage of 0.3V with power consumption as low as…”
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A Constant gm Current Reference Generator with Purely Off-Chip Resistor by Shahghasemi, Mohsen, Odame, Kofi M.

“…Most analog circuits need a current reference generator to provide a stable biasing point for the transistors. Given the limited voltage headroom in advanced…”
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A 0.024-mm2 45.4-GHz-Bandwidth Unity-Gain Output Driver with SDD22<-10dB up to 35 GHz by Chen, Yong, Mak, Pui-In, Chye Boon, Chirn, Martins, Rui P.

“…This paper proposes a unity-gain two-stage output driver incorporating a tunable bridged-shunt peaking with a grounded active inductor. Implemented in 65-nm…”
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Minimum On-the-node Data Security for the Next-generation Miniaturized Wireless Biomedical Devices by Vakhter, Vladimir, Soysal, Betul, Schaumont, Patrick, Guler, Ulkuhan

“…As continuous health monitoring and treatment outside of the traditional clinical environment has become of interest to healthcare providers and governments,…”
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An Efficient 2.4 GHz Differential Rectenna for Radio Frequency Energy Harvesting by Reed, Ryan, Pour, Fariborz Lohrabi, Ha, Dong Sam

“…This paper presents a rectenna to harvest RF energy at the ISM band of 2.4 GHz. A differential topology for the rectifier, along with microstrip patch…”
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DC-100 kHz Tunable Readout IC for Impedance Spectroscopy and Amperometric Measurement of Electrochemical Sensors by Shen, Boyu, Johnston, Matthew L.

“…This paper presents a low-noise, front-end sensor IC that includes both AC impedance spectroscopy and DC amperometric measurement capabilities for…”
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A kT/C-Noise-Cancelled Noise-Shaping SAR ADC with a Duty-Cycled Amplifier by Li, Shaolan

“…This paper describes an error-feedback (EF) NS-SAR ADC featuring a low-cost sampling kT/C noise cancellation (SNC) technique. It fully reuses the EF hardware…”
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Non-isolated 48V-to-1V Heterogeneous Integrated Voltage Converters for High Performance Computing in Data Centers by Gong, Minxiang, Zhang, Xin, Raychowdhury, Arijit

“…This paper discusses and compares various topologies of non-isolated 48/1V heterogeneous integrated voltage converters that are potential solutions for future…”
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Energy Adaptive Convolution Neural Network Using Dynamic Partial Reconfiguration by Youssef, Eman, Elsemary, Hamed A., El-Moursy, Magdy A., Khattab, Ahmed, Mostafa, Hassan

“…Convolutional Neural Network (CNN) is a good candidate for computer vision applications. CNN is well known for its great classification accuracy at image…”
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Challenges and New Directions for AI and Hardware Security by Tan, Benjamin, Karri, Ramesh

“…Artificial Intelligence (AI) and Machine Learning (ML) techniques have found use in many fields, including hardware-based security defenses and novel threats…”
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