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DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems

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DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems

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An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems

An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems

On the inference speed and video-compression robustness of DeepLabCut

Lossy compression of quality scores in differential gene expression: A first assessment and impact analysis

Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants

Fully Quantized Distributed Gradient Descent

Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition

Compact low-power recording architecture for multichannel acquisition of biological signals and method for compressing said biological signal data

Ultra low power design of hardware efficient CS-Based compression scheme in WBSN

An Evaluation of Model-Based Approaches to Sensor Data Compression

On the inference speed and video-compression robustness of DeepLabCut

Ultra low power design of hardware efficient CS-Based compression scheme in WBSN

An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems

Lossy compression of quality scores in differential gene expression: A first assessment and impact analysis

Fully Quantized Distributed Gradient Descent

Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition

Compact low-power recording architecture for multichannel acquisition of biological signals and method for compressing said biological signal data

An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems

Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants

An Evaluation of Model-Based Approaches to Sensor Data Compression