Results 11 to 20 of about 303,436 (267)
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
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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
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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
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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
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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
System-Level Design of Networks-on-Chip for Heterogeneous Systems-on-Chip [PDF]
Proceedings of the Eleventh IEEE/ACM International Symposium on Networks-on-Chip, 2017 The network-on-Chip (NoC) is a critical subsystem for many large-scale systems-on-chip (SoC). We present a complete framework for the design and optimization of NoCs at the system-level. By combining a library of pre-designed configurable NoC modules specified in SystemC with high-level synthesis, we can generate a variety of alternative 2D-Mesh NoC ...
Young-Jin Yoon +2 more
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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
Design Exploration of ReRAM-Based Crossbar for AI Inference
IEEE Access, 2021 ReRAM-based crossbar designs utilizing mixed-signal implementation has gained importance due to their low power, small size, low cost, and high throughput especially for multiply-and-add operations in AI-related applications.
Yasmin Halawani +2 more
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System-Level Optimization of Network-on-Chips for Heterogeneous 3D System-on-Chips [PDF]
2019 IEEE 37th International Conference on Computer Design (ICCD), 2019 For a system-level design of Networks-on-Chip for 3D heterogeneous System-on-Chip (SoC), the locations of components, routers and vertical links are determined from an application model and technology parameters. In conventional methods, the two inputs are accounted for separately; here, we define an integrated problem that considers both application ...
Jan Moritz Joseph +4 more
openaire +2 more sources