Evaluating modern approaches in 3d scene reconstruction: Nerf vs gaussian-based methods

Y Zhou, Z Zeng, A Chen, X Zhou, H Ni… - … Conference on Data …, 2024 - ieeexplore.ieee.org
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 …

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 …

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 …

Deep learning for lung disease classification using transfer learning and a customized cnn architecture with attention

X Liu, Z Yu, L Tan - 2024 IEEE 2nd International Conference on …, 2024 - ieeexplore.ieee.org
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 …

Credit Risk Identification in Supply Chains Using Generative Adversarial Networks

Z Zhang, X Li, Y Cheng, Z Chen, Q Liu - arxiv preprint arxiv:2501.10348, 2025 - arxiv.org
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 …

Securing Social Media Against Deepfakes using Identity, Behavioral, and Geometric Signatures

MU Farooq, A Khan, IU Haq, KM Malik - arxiv preprint arxiv:2412.05487, 2024 - arxiv.org
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 …

Towards SAR Automatic Target Recognition: Multi-Category SAR Image Classification Based on Light Weight Vision Transformer

G Zhao, P Li, Z Zhang, F Guo, X Huang… - 2024 21st Annual …, 2024 - ieeexplore.ieee.org
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 …

Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection

X Cui, Y Li, A Luo, J Zhou, J Dong - arxiv preprint arxiv:2411.19715, 2024 - arxiv.org
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 …

[HTML][HTML] Enhancing Deepfake Detection Through Quantum Transfer Learning and Class-Attention Vision Transformer Architecture

BE Katı, EU Küçüksille, G Sarıman - Applied Sciences, 2025 - mdpi.com
The widespread use of the internet, coupled with the increasing production of digital content,
has caused significant challenges in information security and manipulation. Deepfake …