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Rohit Kumar

    THE MYSTERY OF MISSING
    A computer-aided approach for gating system design for multi-cavity dies
    Trends, Determinants and Impact of NPA on Indian Banking Sector
    Efficient Cost Aware Artificial Intelligence in Healthcare and Biomedicine
    How Stimulus-responsive Extracellular Vesicle Release is Regulated and Associated to Lewy body disease
    Machine Learning and Cognition in Enterprises
    • 2025

      Focusing on the advancements in artificial intelligence and deep learning, this book explores their applications in healthcare and biomedicine, including medical image analysis and personalized treatment. It presents techniques for compressing deep learning models to operate efficiently on devices with limited resources. With 14 chapters, it offers a code-first approach to optimizing AI, providing practical solutions for healthcare professionals and researchers. This timely resource addresses the need for accessible guidance on implementing efficient AI solutions in the healthcare sector.

      Efficient Cost Aware Artificial Intelligence in Healthcare and Biomedicine
    • 2023

      The research investigates the mechanisms behind Lewy body disorders, focusing on alpha-synuclein and its role in extracellular vesicle (EV) dynamics. By employing patch-clamp electrophysiology and real-time molecular imaging, the study explores the release kinetics of EVs in hippocampal neurons. A novel pH-sensitive molecular tag was developed to analyze the fusion of multivesicular bodies with the plasma membrane, while mass spectrometry was used to identify molecular interactions related to Lewy body pathology. This work aims to enhance understanding of disease progression and potential therapeutic targets.

      How Stimulus-responsive Extracellular Vesicle Release is Regulated and Associated to Lewy body disease
    • 2023

      Trends, Determinants and Impact of NPA on Indian Banking Sector

      Measuring Performance of Indian Banking Sector

      • 148 pages
      • 6 hours of reading

      The book delves into the critical role of credit risk in banking, highlighting its impact on profitability, particularly concerning non-performing assets (NPAs). It reveals that rising NPAs correlate with decreasing profitability in both public and private sector banks. Key determinants, including cost of funds and various economic indices, significantly influence NPA levels. The author emphasizes the need for banks to enhance their capital base and manage specific and macroeconomic variables to effectively control NPAs and improve financial health.

      Trends, Determinants and Impact of NPA on Indian Banking Sector
    • 2023

      The Noise of Silence

      • 82 pages
      • 3 hours of reading

      Rohit Dash's 25th book features 40 contemporary poems infused with deep philosophical insights. Celebrated for his stylistic expression and simplicity, Dash captivates readers with emotionally resonant themes. The collection explores the concept that silence carries its own noise, inviting readers to reflect on the complexities of life through his poignant verses.

      The Noise of Silence
    • 2022

      THE MYSTERY OF MISSING

      • 100 pages
      • 4 hours of reading

      Featuring 60 contemporary poems, this collection captivates with its simple yet profound language. The philosophical undertones enhance the emotional resonance, making each piece highly enjoyable. Readers are likely to be moved by the tone and depth of the poetry, offering a reflective experience that speaks to modern sensibilities.

      THE MYSTERY OF MISSING
    • 2017

      Machine Learning and Cognition in Enterprises

      Business Intelligence Transformed

      • 336 pages
      • 12 hours of reading

      The book explores the development of information technology within enterprises and highlights the transformative impact of machine learning on business intelligence. It delves into cognitive artificial intelligence solutions that enhance and expand upon machine learning capabilities, providing insights into their practical applications in modern business environments.

      Machine Learning and Cognition in Enterprises
    • 2017

      Focusing on automation in die-casting, this thesis introduces a system designed to streamline the design of multi-gates for multi-cavity dies. It automates the placement and shape determination of gates for parts with simple geometries, implemented through a MATLAB GUI. The system utilizes part model data, material properties, and die-casting parameters to generate necessary gating-system specifications. Detailed case studies in later chapters demonstrate the system's effectiveness, aligning with industry best practices and enhancing design efficiency.

      A computer-aided approach for gating system design for multi-cavity dies