Evaluating modern approaches in 3d scene reconstruction: Nerf vs gaussian-based methods
Exploring the capabilities of Neural Radiance Fields (NeRF) and Gaussian-based methods
in the context of 3D scene reconstruction, this study contrasts these modern approaches with …
in the context of 3D scene reconstruction, this study contrasts these modern approaches with …
Optimizing Management Strategies for Enhanced Performance and Energy Efficiency in Modern Computing Systems
C Song - Academic Journal of Sociology and Management, 2024 - suaspress.org
The progression of modern computing systems hinges significantly on advancements in chip
design, which in turn, are influenced by effective management strategies. This paper …
design, which in turn, are influenced by effective management strategies. This paper …
The Impact of Network Load Balancing on Organizational Efficiency and Managerial Decision-Making in Digital Enterprises
L Wang - Academic Journal of Sociology and Management, 2024 - suaspress.org
In the digital era, maintaining efficient and reliable network infrastructure is crucial for
organizational success. Network Load Balancing (NLB) plays a pivotal role in this context …
organizational success. Network Load Balancing (NLB) plays a pivotal role in this context …
Deep learning for lung disease classification using transfer learning and a customized cnn architecture with attention
Many people die from lung-related diseases every year. X-ray is an effective way to test if
one is diagnosed with a lung-related disease or not. This study concentrates on categorizing …
one is diagnosed with a lung-related disease or not. This study concentrates on categorizing …
Credit Risk Identification in Supply Chains Using Generative Adversarial Networks
Credit risk management within supply chains has emerged as a critical research area due to
its significant implications for operational stability and financial sustainability. The intricate …
its significant implications for operational stability and financial sustainability. The intricate …
Securing Social Media Against Deepfakes using Identity, Behavioral, and Geometric Signatures
Trust in social media is a growing concern due to its ability to influence significant societal
changes. However, this space is increasingly compromised by various types of deepfake …
changes. However, this space is increasingly compromised by various types of deepfake …
Towards SAR Automatic Target Recognition: Multi-Category SAR Image Classification Based on Light Weight Vision Transformer
Synthetic Aperture Radar has been extensively used in numerous fields and can gather a
wealth of information about the area of interest. This large-scene data-intensive technology …
wealth of information about the area of interest. This large-scene data-intensive technology …
Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection
We describe the Forensics Adapter, an adapter network designed to transform CLIP into an
effective and generalizable face forgery detector. Although CLIP is highly versatile, adapting …
effective and generalizable face forgery detector. Although CLIP is highly versatile, adapting …
[HTML][HTML] Enhancing Deepfake Detection Through Quantum Transfer Learning and Class-Attention Vision Transformer Architecture
The widespread use of the internet, coupled with the increasing production of digital content,
has caused significant challenges in information security and manipulation. Deepfake …
has caused significant challenges in information security and manipulation. Deepfake …