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This paper studies the computational offloading of CNN inference in dynamic multi-access edge computing (MEC) networks. To address the uncertainties in communication time and edge servers’ available ...
Accurate image segmentation of skin lesions is crucial for the detection and treatment of skin cancer. Based on the modern state space model Mamba, a novel hybrid CNN-Mamba network (BEFNet) is ...
Parkinson's Disease (PD) is a gradually worsening neurological condition in which several neurons become impaired with aging. This impairment of neurons leads to a decrease in dopamine production, ...
Herzog & de Meuron is working on all-new proposals for redeveloping Liverpool Street Station as a rival proposal to ACME’s current Network Rail-backed scheme, the AJ can reveal The Swiss architects ...
A food detection and nutritional analysis project is a cutting-edge tool that allows users to easily identify the nutritional information of different types of food by simply taking a photo of the ...
This article investigates the potential of dual CNN-Transformer architectures for generalizable few-shot anomaly detection (GFSAD), a practical yet understudied form of anomaly detection (AD). In ...
api dat programming binding code data-oriented-design driver syscall data-oriented-architecture ployglot obinexus polycall Updated Jun 5, 2025 Python ...