SCHIZO-NET: A NOVEL SCHIZOPHRENIA DIAGNOSIS FRAMEWORK USING LATE FUSION MULTIMODAL DEEP LEARNING ON ELECTROENCEPHALOGRAM-BASED BRAIN CONNECTIVITY INDICES

Schizo-Net: A novel Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Deep Learning on Electroencephalogram-Based Brain Connectivity Indices

Schizophrenia (SCZ) is a serious mental condition that causes hallucinations, delusions, and disordered thinking.Traditionally, SCZ diagnosis involves the subject’s interview by a skilled psychiatrist.The process needs time and is bound to human Travel Toy errors and bias.Recently, brain connectivity indices have been used in a few pattern r

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Amazonian savannas are an integral part of Brazil’s Amazon “biome”: implications for environmental policies

Abstract Conservation policies in Brazil differ between the “biomes” into which the country has divided its territory since 2004.The Amazon biome is predominantly tropical forest but also includes unique savanna ecosystems, while the Cerrado biome is composed of various types of Bucket Hats savanna but also includes islands and corridors of for

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Quantum error mitigation by Pauli check sandwiching

Abstract We describe and analyze an error mitigation technique that uses multiple pairs of parity checks to detect the presence of errors.Each pair of checks uses one ancilla qubit to detect a component of the error operator and represents one layer of the technique.We build on the results on extended flag gadgets and put it on a firm theoretical f

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