Pages with the most categories
From iis-projects
Showing below up to 50 results in range #201 to #250.
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- Self Aware Epilepsy Monitoring (9 categories)
- Machine Learning for extracting Muscle features using Ultrasound 2 (9 categories)
- Probing the limits of fake-quantised neural networks (9 categories)
- Reliability by Switching the Embedded ISA in Ibex (1-2S/B/1M) (9 categories)
- Skin Coupling Media Characterization For Fitness Tracker Applications (1 B/S) (9 categories)
- Internet of Things Network Synchronizer (9 categories)
- Towards a Technology-independent and Synthesizable AXI4 Performance Monitoring and Throttling Unit (1-2S) (9 categories)
- Integrating Hardware Accelerators into Snitch (1S) (9 categories)
- Deep neural networks for seizure detection (9 categories)
- EEG artifact detection for epilepsy monitoring (9 categories)
- Autonomus Drones With Novel Sensors And Ultra Wide Band (9 categories)
- HERO: TLB Invalidation (9 categories)
- Improving SystemVerilog Support for Free And Open-Source EDA Tools (1-3S/B) (9 categories)
- Design and VLSI Implementation of a Constrained-Viterbi Algorithm Equalizer for 3GPP TD-HSPA (9 categories)
- Knowledge Distillation for Embedded Machine Learning (9 categories)
- Ternary Neural Networks for Face Recognition (9 categories)
- Wireless EEG Acquisition and Processing (9 categories)
- Finalizing and Releasing Our Open-source AXI4 IPs (1-3S/B/2-3G) (9 categories)
- AXI-based Network on Chip (NoC) system (9 categories)
- EEG artifact detection with machine learning (9 categories)
- On-Device Learnable Embeddings for Acoustic Environments (9 categories)
- Counter-based Fast Power Estimation using FPGAs (M/1-3S) (9 categories)
- Wireless In Action Data Streaming in Ski Jumping (1 B/S) (9 categories)
- Outdoor Precision Object Tracking for Rockfall Experiments (9 categories)
- Extending the HERO RISC-V HPC stack to support multiple devices on heterogeneous SoCs (M/1-3S) (9 categories)
- Smart Goggles for Visual In-Action Feedback in Ski Jumping (1 M 1-2B/S) (9 categories)
- Trace Debugger for custom RISC-V Core (9 categories)
- BLISS - Battery-Less Identification System for Security (9 categories)
- Developing a Transposition Unit to Accelerate ML Workloads (1-3S/B) (9 categories)
- An all Standard-Cell Based Energy Efficient HW Accelerator for DSP and Deep Learning Applications (9 categories)
- Approximate Matrix Multiplication based Hardware Accelerator to achieve the next 10x in Energy Efficiency: Training Strategy And Algorithmic optimizations (9 categories)
- Active-Set QP Solver on FPGA (9 categories)
- Neural Network Algorithms and Interfaces with Accelerators for Embedded Platforms with Real World Applications (9 categories)
- Extending the HERO SDK to support asynchronous offloading (M/1-3S) (9 categories)
- Investigation of Quantization Strategies for Retentive Networks (1S) (9 categories)
- On - Device Continual Learning for Seizure Detection on GAP9 (9 categories)
- Hardware/software codesign neural decoding algorithm for “neural dust” (9 categories)
- Spatz grows wings: Physical Implementation of a Vector-Powered Manycore System (2S) (9 categories)
- Multisensory system for performance analysis in ski jumping (M/1-2S/B) (9 categories)
- Writing a Hero runtime for EPAC (1-3S/B) (9 categories)
- Flexfloat DL Training Framework (9 categories)
- Benchmarking a heterogeneous 217-core MPSoC on HPC applications (M/1-3S) (9 categories)
- Adaptively Controlled Polarization And Hysteresis Curve Tracing For Polymer Piezoelectrics (1 S/B) (9 categories)
- ASIC Development of 5G-NR LDPC Decoder (9 categories)
- Exploring NAS spaces with C-BRED (9 categories)
- High-Speed Digital-to-Analog Converter (DAC) for massive MIMO testing in 65nm CMOS (9 categories)
- Implementation of a Heterogeneous System for Image Processing on an FPGA (S) (9 categories)
- Adding Linux Support to our DMA Engine (1-2S/B) (9 categories)
- Investigation of the high-performance multi-threaded OoO IBM A2O Core (1-3S) (9 categories)
- Efficient Execution of Transformers in RISC-V Vector Machines with Custom HW acceleration (M) (9 categories)
