Akhilesh Kalia
Biographic Data
| ID | 10127337 |
|---|---|
| NAME | Akhilesh Kalia |
| GIVEN NAMES | Akhilesh |
| FAMILY NAME | Kalia |
| SIGNATURE | KALIA A |
| AFFILIATIONS | Chitkara University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Managing Contemporary Art Institutions With Predictive Insights
Modern art organizations are becoming more and more active in unstable cultural, economic, and digital conditions that require evidence-based decision making, not based on intuitions and ex-post reporting. This paper suggests a predictive analytics system to be used in strategic and operational management of museums, galleries, and hybrid cultural institutions. Combining nonhomogeneous data flows visitor attendance and mobility traces, engagement…
Image Restoration for Heritage Photography Using Ai
A significant portion of cultural and historical heritage is represented by photographic materials that are frequently damaged due to deterioration, poor storage or improper archival use. Traditional repair methods work to some extent, but are limited due to the need for physical work, analysis based on personal experience and processes that take a lot of time. Using the latest advancement of deep learning, this study proposes an AI-driven mechan…
Smart Sensors and Ai in Musical Instrument Learning
The combination of artificial intelligence (AI) and smart sensor technologies is transforming the musical instrument learning industry by allowing the accurate analysis of performance based on the data. In this paper, the author will discuss the importance of multi-modal sensors (such as motion, pressure, acoustic sensor, and biometric sensor) to capture subtle elements of playing behavior and turn it into actionable data. Through the strategic p…
No prominent works on this page.
Managing Contemporary Art Institutions With Predictive Insights
Modern art organizations are becoming more and more active in unstable cultural, economic, and digital conditions that require evidence-based decision making, not based on intuitions and ex-post reporting. This paper suggests a predictive analytics system to be used in strategic and operational management of museums, galleries, and hybrid cultural institutions. Combining nonhomogeneous data flows visitor attendance and mobility traces, engagement…
Image Restoration for Heritage Photography Using Ai
A significant portion of cultural and historical heritage is represented by photographic materials that are frequently damaged due to deterioration, poor storage or improper archival use. Traditional repair methods work to some extent, but are limited due to the need for physical work, analysis based on personal experience and processes that take a lot of time. Using the latest advancement of deep learning, this study proposes an AI-driven mechan…
Smart Sensors and Ai in Musical Instrument Learning
The combination of artificial intelligence (AI) and smart sensor technologies is transforming the musical instrument learning industry by allowing the accurate analysis of performance based on the data. In this paper, the author will discuss the importance of multi-modal sensors (such as motion, pressure, acoustic sensor, and biometric sensor) to capture subtle elements of playing behavior and turn it into actionable data. Through the strategic p…
Analytics (2 works) · 3D Surveying and Cultural Heritage (1 work) · Aesthetic Perception and Analysis (1 work) · Art History and Market Analysis (1 work) · Biometrics (1 work) · Convolutional neural network (1 work) · Cultural heritage (1 work) · Cultural Industries and Urban Development (1 work) · Deep learning (1 work) · Diverse Music Education Insights (1 work)