Ants and Algorithms: Hybrid AI Steers Data Traffic in Smart Farms
A hybrid deep learning framework combining AlexNet and Ant Colony Optimization significantly improves routing, delay, and energy efficiency in cloud-based ...
A hybrid deep learning framework combining AlexNet and Ant Colony Optimization significantly improves routing, delay, and energy efficiency in cloud-based ...
A 14-year study of all 63 Vietnamese provinces finds that multidimensional digital capability is positively associated with energy efficiency, with ...
A comprehensive review charts how lead-free ferroelectric ceramics, films, multilayers, and polymers are closing the gap with toxic lead-based materials ...
A new simulation study shows that pairing solar panels with battery storage at an island municipal water pumping station can ...
A new framework combining adaptive fuzzy logic and federated deep reinforcement learning cuts energy consumption in vehicular edge computing by ...
Researchers have unveiled an AI-driven digital twin framework that dynamically controls reconfigurable intelligent surfaces to overcome terahertz propagation losses in ...
Researchers have coupled Google's anonymised smartphone foot traffic data with a stochastic end-use model to simulate city-scale water demand in ...
Researchers have developed an autonomous blockchain-based system that improves intrusion detection accuracy while cutting latency and energy consumption in fog ...
Researchers highlight reconfigurable transistor hardware that filters task-relevant visual inputs before computation, cutting wasted activations in neuromorphic AI systems.
Researchers have developed an LSTM-enhanced deep reinforcement learning framework that adaptively schedules cloud workflows, delivering statistically significant improvements in makespan, ...
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© 2025 Scienmag - Science Magazine