Tag: Edge Computing

Researchers have developed a computer-vision system that estimates the dimensions and weight of free-swimming tilapia in real time without generating ...

A bilateral preference-aware scheduling algorithm balances task latency and energy consumption while enhancing resource utilization across edge computing systems.

A novel framework integrating Zero Trust Architecture with partner-node blockchain technology reduces sensor energy overhead by eighty percent while maintaining ...

A new meta-learning framework called META-TASC couples uncertainty estimation and calibration with communication-risk scheduling for healthcare-oriented IoT systems, improving waiting ...

A systematic review shows that federated learning enables private predictive healthcare across medical devices while achieving over 90 percent diagnostic ...

Researchers developed a multi-stream graph convolutional network and dataset to classify 13 martial arts categories on edge hardware, demonstrating development ...

A systematic review of 44 YOLO-based railway track defect detection studies finds that none demonstrates fully operational deployment, with all ...

A physical robotics study reveals that offloading initial image processing captures nearly all actuator freshness gains, while deeper cuts yield ...

Researchers have introduced SARP, a semantic-augmented reinforcement planning framework that improves mobile robot obstacle avoidance and path optimization in dynamic ...

A lightweight dual-modal neural network combining wavelet-based frequency fusion and knowledge distillation achieves accurate road crack detection and real-time inference ...

Agricultural engineering researchers have developed a lightweight deep learning model capable of segmenting citrus flowers and young fruitlets in real ...

A decentralized peer-to-peer robotics protocol paired with lightweight edge computer vision enables autonomous robot swarms to coordinate field scanning and ...

A review of 42 studies finds speech emotion systems degrade by an average of 8.6 percent and facial systems by ...

A PRISMA-guided review of 49 studies finds 5G/6G-enabled intelligent transportation research fragmented, with sustainability rarely measured directly and 6G capabilities ...

Researchers developed LiteSGNet, an ultra-lightweight automatic modulation classification network that achieves up to 66.11% accuracy on benchmark tests using 9.62K ...

A simulated three-tier edge, fog and cloud waste management system cut modeled daily collection distance by 37.9 percent and reduced ...

An integrated AIoT platform deployed in a Tunisian olive orchard combines real-time fuzzy-based water quality assessment with LSTM forecasting of ...

A new framework called Xender+ matches incoming sampled data segments to a cloud-side library of pre-trained models, avoiding costly online ...

Researchers have developed MiniRFANN, a disk-resident indexing scheme that performs range-filtered approximate vector similarity search on memory-constrained edge devices with ...

A simulation study reports that an AI-managed electric vehicle charging hub combining solar power, battery storage, LSTM demand forecasting and ...