Abstract: Constrained multi-objective evolutionary algorithms have been extensively used for solving real-world problems. However, most algorithms struggle to efficiently find feasible solutions when ...

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Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

JesseSort: An experimental replacement for Python’s native sorting algorithm Written in C++ for speed, JesseSort claims to outperform Python’s default sorting algorithm with large amounts of data ...

oLLM is a lightweight Python library built on top of Huggingface Transformers and PyTorch and runs large-context Transformers on NVIDIA GPUs by aggressively offloading weights and KV-cache to fast ...

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...

ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

ABSTRACT: This review focuses on the recent advancements in neuroimaging enabled by deep learning techniques, specifically highlighting their applications in brain disorder detection and diagnosis.