explainable ai

Explainable AI in Cybersecurity

Artificial Intelligence For Climate-Resilient Plants: Emerging AI Approaches For Predicting Drought, Salinity And Temperature Stress.

Abstract Climate change is creating serious problems for agriculture by increasing drought, soil salinity, and extreme temperatures. These stresses affect plant growth, development, crop yield, and global food security. Traditional methods used to study plant responses to stress are often time-consuming, labour-intensi...

Artificial Intelligence For Climate-Resilient Plants: Emerging AI Approaches For Predicting Drought, Salinity And Temperature Stress.

Abstract Climate change is creating serious problems for agriculture by increasing drought, soil salinity, and extreme temperatures. These stresses affect plant growth, development, crop yield, and global food security. Traditional methods used to study plant responses to stress are often time-consuming, labour-intensi...

Artificial Intelligence For Climate-Resilient Plants: Emerging Ai Approaches For Predicting Drought, Salinity And Temperature Stress.

Abstract Climate change is creating serious problems for agriculture by increasing drought, soil salinity, and extreme temperatures. These stresses affect plant growth, development, crop yield, and global food security. Traditional methods used to study plant responses to stress are often time-consuming, labour-intensi...

Human-Centred AI for Sustainable Digital Governance in India: A Review of Digital Public Services.

Abstract Artificial Intelligence (AI) is increasingly being used to improve public service delivery through automation, data analysis, decision support and digital interaction. In India, Digital India, Digital Public Infrastructure and national AI initiatives have created opportunities to make government services more...

Artificial Intelligence For Climate-Resilient Plants: Emerging Ai Approaches For Predicting Drought, Salinity And Temperature Stress.

Abstract Climate change is creating serious problems for agriculture by increasing drought, soil salinity, and extreme temperatures. These stresses affect plant growth, development, crop yield, and global food security. Traditional methods used to study plant responses to stress are often time-consuming, labour-intensi...

Human-Centred AI for Sustainable Digital Governance in India: A Review of Digital Public Services.

Abstract Artificial Intelligence (AI) is increasingly being used to improve public service delivery through automation, data analysis, decision support and digital interaction. In India, Digital India, Digital Public Infrastructure and national AI initiatives have created opportunities to make government services more...

GAN-Enhanced Multimodal Artificial Intelligence for Autism Spectrum Disorder Screening: A Comprehensive Survey

Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by difficulties in social communication and interaction, together with restricted or repetitive patterns of behavior. Early screening is important for facilitating timely clinical assessment and intervention; however, conventional s...

GAN-Enhanced Multimodal Artificial Intelligence for Autism Spectrum Disorder Screening: A Comprehensive Survey

Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by difficulties in social communication and interaction, together with restricted or repetitive patterns of behavior. Early screening is important for facilitating timely clinical assessment and intervention; however, conventional s...

Hyper-Personalization vs. Privacy Paradox: Balancing AI-Driven Customer Insights with Consumer Data Ethics and Trust

Abstract: The rapid proliferation of artificial intelligence and machine learning has enabled organizations to achieve unprecedented levels of hyper-personalization, transforming how brands interact with consumers. However, this capability intensifies the privacy paradox, a phenomenon where consumers express profound c...

Hyper-Personalization vs. Privacy Paradox: Balancing AI-Driven Customer Insights with Consumer Data Ethics and Trust

Abstract: The rapid proliferation of artificial intelligence and machine learning has enabled organizations to achieve unprecedented levels of hyper-personalization, transforming how brands interact with consumers. However, this capability intensifies the privacy paradox, a phenomenon where consumers express profound c...

The Integration, Utility, and Ethical Challenges of Artificial Intelligence Tools in Academic Libraries

Abstract Artificial intelligence has progressed from experimental trial to core operational infrastructure across contemporary academic libraries. Drawing upon peer-reviewed Library and Information Science (LIS) literature, ACRL and IFLA publications, and practitioner surveys from 2020 through 2025, this review examine...