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    An On-Chip Trainable and Scalable In-Memory ANN Architecture for AI/ML Applications

    Traditional von Neumann architecture-based processors become inefficient in terms of energy and throughput as they involved separate processing and memory units, also known as memory walls. The memory wall pro...

    Abhash Kumar, Sai Manohar Beeraka, Jawar Singh in Circuits, Systems, and Signal Processing (2023)

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    Accuracy Enhancement of Epileptic Seizure Detection: A Deep Learning Approach with Hardware Realization of STFT

    Electroencephalogram (EEG) signals, generated during the neuron firing, are an effective way of predicting such seizure and it is used widely in recent days for classifying and predicting seizure activity. But...

    Sai Manohar Beeraka, Abhash Kumar in Circuits, Systems, and Signal Processing (2022)

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    3D color channel based adaptive contrast enhancement using compensated histogram system

    Low contrast image is one of the major challenges in photography. The low contrast image not only poses difficulty to the interpretation of the scene but also causes trouble in the onward processing of the ima...

    Abhash Kumar, Ashish Kumar Bhandari, Reman Kumar in Multimedia Systems (2021)

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    The role of ridges in the formation and longevity of flat slabs

    Flat-slab subduction is often proposed to cause deformation of continental crust far from plate boundaries as well as unusual patterns of volcanism; a study of the largest-known flat slab, located in Peru, now...

    Sanja Knezevic Antonijevic, Lara S. Wagner, Abhash Kumar, Susan L. Beck in Nature (2015)