Jaspreet Sidhu
Biographic Data
| ID | 10127808 |
|---|---|
| NAME | Jaspreet Sidhu |
| GIVEN NAMES | Jaspreet |
| FAMILY NAME | Sidhu |
| SIGNATURE | SIDHU J |
| AFFILIATIONS | Chitkara University |
| ORCID | 0009-0002-5658-5629 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Deep Reinforcement Learning for Dance Pose Optimization
Deep Reinforcement Learning (DRL) has become an effective framework of sequential decision-making in high-dimensional and complex control problems, but little has been done to apply it to expressive human movement. This work is a unified DRA algorithm to optimize a dance pose, which an intelligent agent is trained to produce the smooth and stable dance pose and aesthetically compose a pose in a simulated kinematic environment. Generation of dance…
Generative Design in 3d Printing Education
The paper examines how generative design and 3D printing can be incorporated in the contemporary design education and how it will enhance the computational creativity as well as reflective practice and interdisciplinary learning. This study will apply the design-based mixed-method approach to analysis, based on the constructivist, constructionist, and experiential theories of learning, to address whether the use of algorithmic modeling and additi…
Enhancing Aesthetic Appeal of Prints Using Neural Networks
The appearance of printed pictures is extremely crucial to visual communication, product display, and art. Conventional methods of enhancing prints, such as colour repair, contrast control, and texturing refinements, tend to require that the end user manually adjusts the filter or relies on predefined filters, so they cannot be as adaptable to other types of pictures and printed media. With the emergence of deep learning and, in particular, neura…
A Comprehensive Study of the Impact of Organizational Culture on HR Management Practices
Background: Recruitment, training and performance management are central processes in Human Resource Management (HRM) for organizational performance. Organizational Culture (OC) also determines these practices based on the nature of hiring, career development, and employee retention. It is essential to have a clear understanding of the relationship to gain the biggest benefits for HRM strategies and organizational results. Aim: Thus, the current …
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A Comprehensive Study of the Impact of Organizational Culture on HR Management Practices
Background: Recruitment, training and performance management are central processes in Human Resource Management (HRM) for organizational performance. Organizational Culture (OC) also determines these practices based on the nature of hiring, career development, and employee retention. It is essential to have a clear understanding of the relationship to gain the biggest benefits for HRM strategies and organizational results. Aim: Thus, the current …
Deep Reinforcement Learning for Dance Pose Optimization
Deep Reinforcement Learning (DRL) has become an effective framework of sequential decision-making in high-dimensional and complex control problems, but little has been done to apply it to expressive human movement. This work is a unified DRA algorithm to optimize a dance pose, which an intelligent agent is trained to produce the smooth and stable dance pose and aesthetically compose a pose in a simulated kinematic environment. Generation of dance…
Generative Design in 3d Printing Education
The paper examines how generative design and 3D printing can be incorporated in the contemporary design education and how it will enhance the computational creativity as well as reflective practice and interdisciplinary learning. This study will apply the design-based mixed-method approach to analysis, based on the constructivist, constructionist, and experiential theories of learning, to address whether the use of algorithmic modeling and additi…
Enhancing Aesthetic Appeal of Prints Using Neural Networks
The appearance of printed pictures is extremely crucial to visual communication, product display, and art. Conventional methods of enhancing prints, such as colour repair, contrast control, and texturing refinements, tend to require that the end user manually adjusts the filter or relies on predefined filters, so they cannot be as adaptable to other types of pictures and printed media. With the emergence of deep learning and, in particular, neura…
Aesthetic Perception and Analysis (1 work) · Architecture and Computational Design (1 work) · Artificial neural network (1 work) · Artistic and Creative Research (1 work) · Business (1 work) · Business and Economic Development (1 work) · Color Science and Applications (1 work) · Computational Creativity (1 work) · Computer Science (1 work) · Convolutional neural network (1 work)