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Remaining useful life prediction of Lithium-ion batteries using spatio-temporal multimodal attention networks
Lithium-ion batteries are widely used in various applications, including electric vehicles and renewable energy storage. The prediction …
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AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation
We present a novel adversarial penalized self-knowledge distillation method, named adversarial learning and implicit regularization for …
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ContextMix: A context-aware data augmentation method for industrial visual inspection systems
While deep neural networks have achieved remarkable performance, data augmentation has emerged as a crucial strategy to mitigate …
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Worker Activity Recognition in Manufacturing Line Using Near-body Electric Field
Manufacturing industries strive to improve production efficiency and product quality by deploying advanced sensing and control systems. …
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Novel adaptive quantization methodology for 8-bit floating-point DNN training
There is a high energy cost associated with training Deep Neural Networks (DNNs). Off-chip memory access contributes a major portion to …
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The NWRD Dataset: An Open-Source Annotated Segmentation Dataset of Diseased Wheat Crop
Wheat stripe rust disease (WRD) is extremely detrimental to wheat crop health, and it severely affects the crop yield, increasing the …
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TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation
Wearable sensor-based human activity recognition (HAR) has emerged as a principal research area and is utilized in a variety of …
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Learning from the Best: Contrastive Representations Learning Across Sensor Locations for Wearable Activity Recognitiony
We address the well-known wearable activity recognition problem of having to work with sensors that are non-optimal in terms of …
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FeFET versus DRAM based PIM Architectures: A Comparative Study
The throughput and energy efficiency of compute-centric architectures for memory intensive Deep Neural Networks (DNN) applications are …
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A Critical Assessment of DRAM-PIM Architectures - Trends, Challenges and Solutions
Recently, we are witnessing a surge in DRAM-based Processing in Memory (PIM) publications from academia and industry. The architectures …
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