Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...
Abstract: Utilizing multi-view infrared images to collaboratively identify the types of surface ship targets is a feasible approach in practice. This paper proposes a fine-grained object recognition ...
Self-supervised reinforcement learning is a technique where agents learn useful representations and skills from the environment through self-generated tasks, such as predicting next states or learning ...
Abstract: To address the challenges of road segmentation in remote sensing images—such as elongated structures, blurred boundaries, and the high cost of manual annotations—we propose a semi-supervised ...
new video loaded: I’m Building an Algorithm That Doesn’t Rot Your Brain transcript “Our brains are being melted by the algorithm.” [MUSIC PLAYING] “Attention is infrastructure.” “Those algorithms are ...
ABSTRACT: Rivers still play an important role in our societies, mainly as a water resource and a place of recreation, but nowadays, human activities have led to a profound modification of the natural ...
ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
In a world saturated by artificial intelligence, Machine Learning, and over-zealous talks about both, it is important to understand and identify the types of Machine Learning we may encounter. For the ...
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