Results 11 to 20 of about 550,901 (344)
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics [PDF]
IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2016 Near-sensor data analytics is a promising direction for internet-of-things endpoints, as it minimizes energy spent on communication and reduces network load - but it also poses security concerns, as valuable data are stored or sent over the network at ...
Francesco Conti +11 more
semanticscholar +3 more sources
Hyper-Dimensional Computing Challenges and Opportunities for AI Applications
IEEE Access, 2022 Brain-inspired architectures are gaining increased attention, especially for edge devices to perform cognitive tasks utilizing its limited energy budget and computing resources.
Eman Hassan +3 more
doaj +1 more source
FPGA-Based Memristor Emulator Circuit for Binary Convolutional Neural Networks
IEEE Access, 2020 Binary convolutional neural networks (BCNN) have been proposed in the literature for resource-constrained IoTs nodes and mobile computing devices. Such computing platforms have strict constraints on the power budget, system performance, processing and ...
Mohammed F. Tolba +4 more
doaj +1 more source
Memristive Biosensors for Cancer Biomarkers Detection: A Review
IEEE Access, 2023 Detecting cancer biomarkers at an early stage at the clinical level has been the interest of numerous researchers over the years due to its impact on recovery.
Rami Homsi +3 more
doaj +1 more source
Human Vital Signs Detection Methods and Potential Using Radars: A Review
Sensors, 2020 Continuous monitoring of vital signs, such as respiration and heartbeat, plays a crucial role in early detection and even prediction of conditions that may affect the wellbeing of the patient.
Mamady Kebe +5 more
doaj +1 more source
Micromachines, 2022 Advancements in biomaterial manufacturing technologies calls for improved standards of fabrication and testing. Currently 3D-printable resins are being formulated which exhibit the potential to rapidly prototype biocompatible devices.
Eric Lutsch +4 more
doaj +1 more source
SLID: Exploiting Spatial Locality in Input Data as a Computational Reuse Method for Efficient CNN
IEEE Access, 2021 Convolutional Neural Networks (CNNs) revolutionized computer vision and reached the state-of-the-art performance for image processing, object recognition, and video classification.
Fatmah Alantali +3 more
doaj +1 more source
NeuroMem: Analog Graphene-Based Resistive Memory for Artificial Neural Networks
Scientific Reports, 2020 Artificial Intelligence (AI) at the edge has become a hot subject of the recent technology-minded publications. The challenges related to IoT nodes gave rise to research on efficient hardware-based accelerators.
Heba Abunahla +3 more
doaj +1 more source
Tunable Switching Behavior of GO-Based Memristors Using Thermal Reduction
Nanomaterials, 2022 This work reports on the fabrication of a novel planar reduced graphene oxide (rGO) memristor (MR) device. For the first time in the literature, the MR tunable resistive switching behavior is controlled by the GO reduction time at a constant temperature.
Muayad Abujabal +3 more
doaj +1 more source
Asynchronous techniques for system-on-chip design [PDF]
, 2006 SoC design will require asynchronous techniques as the large parameter variations across the chip will make it impossible to control delays in clock networks and other global signals efficiently.
Martin, Alain J., Nyström, Mika
core +1 more source