• Functional near-infrared spectroscopy (fNIRS) of posterolateral cerebellum and prefrontal cortex for fNIRS-driven cerebellar tES � a case report 

  Singh, Shubh Mohan; Kumar, Kavya Narendra; Walia, Pushpinder; Ranjan, Shashi; Rezaee, Zeynab; Lahiri, Uttama; Dutta, Anirban (Elsevier, 2021-11)

  Background: Cerebellar transcranial direct current stimulation(ctDCS) has been shown to evoke brain responses that could be measured using functional near-infrared spectroscopy(fNIRS). Good general linear model fit was ...
• Portable neuroimaging and biped multi-task battery to study the effects of non-invasive cerebellar stimulation: a case series on hemiplegic patients with and without basal ganglia lesion 

  Ranjan, Shashi; Arora, Yashika; Dutta, Anirban; Lahiri, Uttama (Elsevier, 2021-11)

  Introduction: The cerebello-thalamo-cortical(CTC) pathway plays a crucial role in postural control and balance. CTC pathway can be facilitated with cerebellar transcranial Direct Current Stimulation(ctDCS) while cortical ...
• Combined approach for power loss minimization in distribution networks in the presence of gridable electric vehicles and dispersed generation 

  Velamuri, Suresh; Cherukuri, S. Hari Charan; Sudabattula, Suresh Kumar; Prabaharan, Natarajan; Hossain, Eklas (Institute of Electrical and Electronics Engineers, 2021-11)

  Increased electric vehicles (EVs) penetration into the distribution network burdens the system during the charging process. But the same turns out to be advantageous if the EVs are used to support the utility based on the ...
• Towards training fault tolerant and noise immune diffractive optical neural engines 

  Panda, Soumyashree S.; Hegde, Ravi S. (09-05-21)
• Neural network approaches and dataset parser for NILM toolkit 

  Shastri, Hetvi; Batra, Nipun (17-11-21)
• Hemodynamic responses to Transcranial Direct Current Stimulation (TDCS): grey box modeling for model predictive neurovascular dosing in stroke 

  Arora, Y; Ranjan, Shashi; Chowdhury, S.Roy; Lahiri, Uttama; Das, A.; Dutta, A. (28-10-21)
• A robust family of algorithms for adaptive filtering based on the arctangent framework 

  Kumar, Krishna; Pandey, Rajlaxmi; Bora, Sanjay Singh; George, Nithin V. (Institute of Electrical and Electronics Engineers, 2021-11)

  This brief introduces a novel cost function framework for developing robust algorithms for adaptive filtering by embedding the standard cost function into the arctangent framework. This proposed framework is called the ...
• Learning by cheating: an end-to-end zero shot framework for autonomous drone navigation 

  Venkatesh, Praveen; Shah, Viraj; Shah, Vrutik; Kamble, Yash; Mekie, Joycee (Cornell University Library, 2021-11)

  This paper proposes a novel framework for autonomous drone navigation through a cluttered environment. Control policies are learnt in a low-level environment during training and are applied to a complex environment during ...
• TweeNLP: a twitter exploration portal for natural language processing 

  Shah, Viraj; Singh, Shruti; Singh, Mayank
• Multi-element metagrating design with densely-connected neural networks 

  Panda, Soumyashree S.; Tandan, Harshul; Hegde, Ravi S.
• Low complexity and robust diffusion affine projection algorithms for distributed estimation 

  Nautiyal, Mayank; Bhattacharjee, Sankha Subhra; George, Nithin V. (Institute of Electrical and Electronics Engineers, 2021-11)

  Diffusion affine projection algorithms have the ability to de-correlate the input signal and have faster convergence but with the expense of increased computational complexity. Moreover, traditional diffusion affine ...
• Retinal vessel segmentation using blending-based conditional generative adversarial networks 

  Saxena, Suraj; Lal, Kanhaiya; Joshi, Sharad (27-09-21)
• Affine projection champernowne algorithm for robust adaptive filtering 

  Kumar, Krishna; Karthik, Munukutla L. N. Srinivas; Bhattacharjee, Sankha Subhra; George, Nithin V. (Institute of Electrical and Electronics Engineers, 2021-11)

  The recently proposed affine projection Versoria (APV) algorithm has been widely used over other affine based algorithms due to its robustness against impulsive noises. However, the performance of the APV algorithm suffers ...
• Feasibility of cerebellar transcranial direct current stimulation to facilitate goal-directed weight shifting in chronic post-stroke hemiplegics 

  Ranjan, Shashi; Rezaee, Zeynab; Dutta, Anirban; Lahiri, Uttama (Institute of Electrical and Electronics Engineers, 2021-10)

  Neurological disorder such as stroke can adversely affect one’s weight-bearing symmetry leading to dysfunctional postural control. Recovery after stroke is facilitated through functionally-relevant neuroplastic modulation. ...
• Correlating microbial bioluminescence to the different phases of growth using a 2004 nm VCSEL-based 2f wavelength modulation spectroscopy 

  Zarin, A. S.; Chakraborty, Arup Lal; Khatua, Saumyakanti (21-06-21)
• Addressing practical challenges in active learning via a hybrid query strategy 

  Agarwal, Deepesh; Srivastava, Pravesh; Martin-del-Campo, Sergio; Natarajan, Balasubramaniam; Srinivasan, Babji (Cornell University Library, 2021-10)

  Active Learning (AL) is a powerful tool to address modern machine learning problems with significantly fewer labeled training instances. However, implementation of traditional AL methodologies in practical scenarios is ...
• In-orbit lunar satellite image super resolution for selective data transmission 

  Tewari, Atal; Prateek, Chennuri; Khanna, Nitin (Cornell University Library, 2021-10)

  Rapid technological advancements have tremendously increased the data acquisition capabilities of remote sensing satellites. However, the data utilization efficiency in satellite missions is very low. This growing data ...
• Device design of indigenous low cost single, double-poly silicon bipolar transistors for Analog and RF applications 

  Katiyar, Ravins (Indian Institute of Technology Gandhinagar, 2021)
• Sparsity aware robust kernel adaptive filters for audio signal processing 

  Pandey, Rajlaxmi (Indian Institute of Technology Gandhinagar, 2021)
• Frameworks for implementing neural network inference engines 

  Kumar, Rajesh (Indian Institute of Technology Gandhinagar, 2021)

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