Tag: Edge Computing

A new deep learning system distills a high-accuracy pose estimation model into a lightweight edge-deployable AI coach that corrects athletes' ...

A systematic review of 88 studies shows radar and camera-based IoT systems dominate contactless vital-sign monitoring, while blood pressure, oxygen ...

Researchers have built SpudNet5-R3, a lightweight explainable convolutional neural network that detects potato early and late blight with up to ...

A new AI-IoT framework combining an LSTM autoencoder with Random Forest regression achieves near-perfect anomaly detection and accurate water quality ...

A new multi-dimensional evaluation framework shows that the most accurate intrusion detection model is often not the best choice for ...

A systematic review of research from 2021 to 2025 maps how artificial intelligence is reshaping security for IoT and mobile ...

Researchers at Jerash University have developed an energy-aware federated deep learning framework that cuts per-round energy use by about 43 ...

A new study combines a lightweight MobileNetV2 model with edge computing to detect network attacks with 94.6 percent accuracy in ...

A self-powered dual-sensor wearable combining a CNN-SVM classifier and Bayesian-optimized regression recognizes eight exercise postures with 95.4 percent accuracy and ...

Researchers in China have developed a lightweight transformer model with a novel cross-axis attention module and a feature memory component ...

Researchers have developed AGRF, an adaptive geo-aware replication framework that dynamically places data replicas across fog nodes to cut latency, ...

A massive 641-run study shows that trust-weighted federated learning can keep a tiny on-device IoT intrusion detector accurate under non-IID ...

Researchers have developed an AI-driven scheduler that predicts congestion in edge-cloud environments before it happens, cutting response times and protecting ...

Researchers have developed a lightweight frequency-based AI detector that achieves state-of-the-art accuracy and real-time speed on cluttered traffic scenes, running ...

Researchers in India have developed a post-quantum attribute-based encryption scheme based on the Cyclic Learning With Errors problem that shrinks ...

A hybrid quantum-classical detector called Q-SODA uses an eight-qubit entangling circuit to achieve record precision on small object detection while ...

Researchers have developed a feedback-guided framework that adapts decision thresholds instead of retraining classifiers, achieving near-equal accuracy with lower false ...

A low-cost network of thermal cameras and Raspberry Pi computers operated continuously in a Madrid intensive care unit for ten ...

Binghamton University researchers have built CoughNet, a low-cost Raspberry Pi and LoRa sensor network that counts unique coughers in a ...

Researchers at Marmara University have designed a Mutex-based sequential federated learning architecture that enables full fine-tuning of TinyLlama-1.1B on resource-constrained ...