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Mapping Psychoacoustical, Neurophysiological and Cognitive Benefits of Yoga and Meditation: a Cross-sectional Study Across Age

Yoga and meditation are widely recognized as effective interventions for physical, mental, and spiritual health, with benefits observed across all ages and health conditions. However, the utility of these methods in the auditory domain remains unesta

Role of Conditioned Learning and Sleep in Adult Hippocampal Neurogenesis in the Rat

Memory formation is a complex process involving acquisition, consolidation, and retrieval. Adult hippocampal neurogenesis (AHN) plays a crucial role in hippocampal-dependent memory consolidation, with increased neurogenesis enhancing learning and abl

Targeting Memory Milestones Using In Vivo Electrophysiology and Bio-Signal Processing as Novel Tools

The brain stores new information in the form of short-term and long-term memories (LTM), which can be identified at different time intervals. Behavioral Tagging (BT) is a mechanism for LTM formation, involving the setting of a learning tag and the sy

Automated helmet detection for motorcyclists from traffic surveillance videos using deep convolutional neural network

Design and Development of AI-based Smart Battery Management System for Energy storage and E-Mobility applications

The Indian government is focusing on reducing carbon emissions in the automobile industry, with a market share of 60-80% dominated by 2WD/3WD vehicles. The country's Emissions Model IEM targets 2030-2060 for electric vehicles (30-100%). Energy storag

Fault tolerability and related aspects of interconnection networks

Multi Biometric Analysis of Cattle for Identification and Health Monitoring

Advancements in technology are transforming farming practices in India, with livestock farming being a significant economic backbone. Current methods for livestock identification, such as labeling, tattooing, ear tagging, and RFIDs, are debated for a

Multimodal Biometric Recognition System for Infants and Toddlers using Deep Learning Approach

Synthesis and Verification Targeted to Memristive Crossbars

Memristors, passive circuit elements with crossbar structures, have applications in non-volatile resistive memory, in-memory computing, and neuromorphic computing. In-memory computing involves synthesis and mapping logic functions on memristor crossb

Towards Development of Assistive Technology for Indian Sign Language: Cognitive Analysis and Application development