ADAPTABLE REDUCED-COMPLEXITY APPROACH BASED ON STATE VECTOR MACHINE FOR IDENTIFICATION OF CRIMINAL ACTIVISTS ON SOCIAL MEDIA

Adaptable Reduced-Complexity Approach Based on State Vector Machine for Identification of Criminal Activists on Social Media

Security agencies face an emerging challenge of identifying and counter the malicious contents spread on the social media by the terrorists.However, text classification techniques are limited by visualization, pre-processing, features extraction, and larger features space.Additionally, change in criminal content require the learning models to ident

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Psychological State Among the General Chinese Population Before and During the COVID-19 Epidemic: A Network Analysis

Background: The infectious disease Coronavirus Disease 2019 (COVID-19) outbroke in 2019 spread to multiple countries.The quick spread of the virus and isolation strategies may trigger psychological problems.Our aim was to explore the dynamic network structure of the psychological state before and during the epidemic.Methods: A web-based survey was

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Frequent Irrigation Under Increasing Doses of Stabilized Sewage Sludge in The Soil Increases the Yield and Quality of Silage Maize

Achieving higher efficiency and better quality production with appropriate irrigation regimes in silage maize cultivation in soils mixed with urban sludge is a requirement of sustainable agriculture.Therefore, a two-year field study was carried out with three replicates with four different sewage sludge doses (D0: 0 t/ha, D1: 30 t/ha, D2: 60 t/ha,

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