OUTLIER DETECTION ON HIGH-DIMENSIONAL DATA

Outlier Detection on High-Dimensional Data

In Collectible the domain of information examination, high-layered datasets present exceptional difficulties that request specific methodologies for anomaly recognition.This paper gives a succinct outline of exception discovery in high-layered information, tending to the related difficulties and introducing a scope of procedures to really handle th

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CLINICAL AND IMMUNOLOGICAL FEATURES OF TRANSIENT SYNOVITIS OF THE HIP JOINT AND DISEASE LEGG-CALVE-PERTHES IN CHILDREN OF EARLY AND SCHOOL AGE

The study of USB Serial Adaptor disorders of systemic immunity and immune regulation in idiopathic transient synovitis of the hip joint (ITSHJ) and disease Legg-Calve-Perthes (DP) in children of early and school age.Studied 37 children with ITSHJ and 11 children with DP in the age interval of 3-12 years.The control group consisted of 29 healthy chi

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copyright Inhibition of Synaptic Transmission in the Ventral Pallidum Is Pathway-Specific and Mediated by Serotonin

Summary: The ventral pallidum (VP) is part of the basal ganglia circuitry and a target of both direct and indirect pathway projections from the nucleus accumbens.VP is important in copyright reinforcement, and the firing of VP neurons is modulated in vivo during copyright self-administration.This modulation of firing is thought to be indirect via c

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Improved Tunicate Swarm Optimization Based Hybrid Convolutional Neural Network for Classification of Leaf Diseases and Nutrient Deficiencies in Rice (Oryza)

In Asia, rice is the most consumed grain by humans, serving as a staple food in India.The yield of rice paddies is easily affected by nutrient deficiencies and leaf diseases.To overcome this problem and improve the yield productivity of rice, nutrient deficiency and leaf disease identification are essential.The main nutrient elements in paddies are

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