Zobrazeno 1 - 10
of 262
pro vyhledávání: '"Raj Mani"'
Publikováno v:
IEEE Access, Vol 12, Pp 64551-64560 (2024)
Fraudulent transactions and how to detect them remain a significant problem for financial institutions around the world. The need for advanced fraud detection systems to safeguard assets and maintain customer trust is paramount for financial institut
Externí odkaz:
https://doaj.org/article/9f73d201f5784433bb166912ccc75b68
Fraudulent transactions and how to detect them remain a significant problem for financial institutions around the world. The need for advanced fraud detection systems to safeguard assets and maintain customer trust is paramount for financial institut
Externí odkaz:
http://arxiv.org/abs/2312.13334
A botnet is an army of zombified computers infected with malware and controlled by malicious actors to carry out tasks such as Distributed Denial of Service (DDoS) attacks. Billions of Internet of Things (IoT) devices are primarily targeted to be inf
Externí odkaz:
http://arxiv.org/abs/2311.08621
Present energy demand and modernization are leading to greater fossil fuel consumption, which has increased environmental pollution and led to climate change. Hence to decrease dependency on conventional energy sources, renewable energy sources are c
Externí odkaz:
http://arxiv.org/abs/2311.08550
Healthcare is one of the foremost applications of machine learning (ML). Traditionally, ML models are trained by central servers, which aggregate data from various distributed devices to forecast the results for newly generated data. This is a major
Externí odkaz:
http://arxiv.org/abs/2310.07380
The rapid growth in Internet of Things (IoT) technology has become an integral part of today's industries forming the Industrial IoT (IIoT) initiative, where industries are leveraging IoT to improve communication and connectivity via emerging solutio
Externí odkaz:
http://arxiv.org/abs/2310.07354
Adversarial attacks are a type of attack on machine learning models where an attacker deliberately modifies the inputs to cause the model to make incorrect predictions. Adversarial attacks can have serious consequences, particularly in applications s
Externí odkaz:
http://arxiv.org/abs/2307.08327
Distributed Collaborative Machine Learning (DCML) is a potential alternative to address the privacy concerns associated with centralized machine learning. The Split learning (SL) and Federated Learning (FL) are the two effective learning approaches i
Externí odkaz:
http://arxiv.org/abs/2307.03197
A Deep Learning-based Compression and Classification Technique for Whole Slide Histopathology Images
This paper presents an autoencoder-based neural network architecture to compress histopathological images while retaining the denser and more meaningful representation of the original images. Current research into improving compression algorithms is
Externí odkaz:
http://arxiv.org/abs/2305.07161
Power system state estimation (PSSE) is commonly formulated as weighted least-square (WLS) algorithm and solved using iterative methods such as Gauss-Newton methods. However, iterative methods have become more sensitive to system operating conditions
Externí odkaz:
http://arxiv.org/abs/2101.03457