Due to the complexity of hotel operation processes, abnormal situations are inevitable, making proactive anomaly prediction essential for ensuring operational stability. Although current deep learning ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

TAIPEI, Nov. 26, 2025 /PRNewswire/ -- With artificial intelligence rapidly advancing toward end devices, Edge AI has become a critical technology driving intelligent and IoT applications. Compared to ...

ABSTRACT: Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera ...

This repo contains all my Deep Learning semester work, including implementations of FNNs, CNNs, autoencoders, CBOW, and transfer learning. I explored TensorFlow, Keras, PyTorch, and Theano while ...

T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. Aaron J. Snoswell receives research ...

Lightweight_IA_V_2/ │ ├── README.md # Project overview and roadmap ├── paper_2023_CANShield.pdf # Reference paper (IEEE IoT 2023) ├── CANSHIELD_COMPLETE_STEPS.md # Complete implementation guide │ ├── ...

Ceva has partnered with embedUR systems to launch a dedicated instance of the ModelNova platform for Ceva’s NeuPro NPU family. The platform provides AI models, datasets, and use-case blueprints ...

Satellite data reveal that a weak region in Earth's magnetic field has grown by an area roughly half the size of continental Europe in the last 10 years. When you purchase through links on our site, ...

All the Latest Game Footage and Images from Anomaly Evolution Are you ready to uncover SCP-682’s ultimate form? In Anomaly Evolution, evolve SCP-682, SCP-1471, and SCP-999 from mere anomalies into ...