National Institute of Technology Kurukshetra

Artificial Intelligence in Healthcare: From Innovation to Clinical Applications and Regulatory Frameworks

ABSTRACTThis thorough analysis examines the revolutionary significance of artificial intelligence (AI)in contemporary healthcare, stressing its development, uses, difficulties, and legalconsiderations. From its initial limits, artificial intelligence has quickly advanced to provi...

Spirituality at Work as a Catalyst: Mediating the Relationship Between Spiritual Leadership and Employee Creativity

This study investigates employee creativity as a vital force behind organizational innovation by focusing on how spiritual leadership influences creative outcomes. It further examined the mediating role of workplace spirituality in the relationship between spiritual leadership an...

Seeing through the mind: Explainable multimodal AI for depression detection—A review

Depression detection using multimodal artificial intelligence (AI) is rapidly evolving, transitioning from traditional machine learning techniques to deep learning architectures built on pre-trained transformer encoders. These systems integrate textual, acoustic, visual, and phys...

Understanding Regional Variations in Electric Vehicle Adoption in India: Evidence from Indian States

The transition toward electric mobility has emerged as a key strategy for reducing transport-sector emissions and promoting sustainable development. Despite the rapid growth of electric vehicle (EV) registrations in India, the pace of adoption remains uneven across states and uni...

Power Scavenging for Strengthening the Life Cycle of Cooperative Devices in Correlated Hybrid Fading Environment

Abstract In next-generation wireless communication networks, end users demand higher throughput, improved reliability, and lower energy consumption for battery-operated devices. To improve the reliability and throughput of next-generation communication, drones are integrated with...

Intelligent physics-aware deep Q-network controller for resilient and battery-sustainable electric vehicle energy management

The increasing penetration of electric vehicles (EVs) in modern power systems introduces significant challenges in energy efficiency, battery health management, and stable grid interaction. Conventional EV energy management strategies often fail to simultaneously optimize energy...

Experimentally validated ANN-based sustainable fault diagnosis framework for solar PV systems

Faults in solar photovoltaic (PV) arrays significantly degrade energy yield, reliability, and operational safety, particularly on the DC side where continuous energization increases fault severity. This paper presents an integrated Artificial Neural Network (ANN)-based framework...

Explainable AI ‐driven digital twin with dew computing for structural risk assessment of heritage concrete structures

Abstract Heritage buildings are highly vulnerable to structural degradation due to aging materials, environmental exposure, and natural disasters, necessitating intelligent and real‐time monitoring solutions. The current study proposes a dew computing‐enabled digital twin framewo...