Titlebook: Handling Uncertainty in Artificial Intelligence; Jyotismita Chaki Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusi

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,The Dempster–Shafer Theory to Handle Uncertainty in Artificial Intelligence, This chapter discusses the basic terms used, the main components of the Dempster–Shafer theory, the Dempster–Shafer rule of combination, various case studies, and the advantages and limitations of the Dempster–Shafer theory.

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Genistein

Applications of Different Methods to Handle Uncertainty in Artificial Intelligence,sorder diagnosis, prognosis, therapy, and prevention while accounting for uncertainty and variability in symptoms, tests, outcomes, and treatments. Finally, social media analysis necessitates systems that can reason about social media users’ opinions, feelings, preferences, and behaviors while deali

HATCH

Jyotismita Chakimagnetotransport in those lattices are strongly suppressed. At fields of several Tesla we enter the regime of the quantum Hall effect in the 2DEG, and we find a pronounced increase of the amplitude of 1/.-periodic magnetoresistance oscillations. The latter can be traced to an enhanced backscattering

辯論

Jyotismita Chakistructure splitting. Across the whole range of size variations within our multimodal quantum dot distribution a systematic trend from +520μeV to ?80μeV is found for decreasing dot size. To identify the underlying effects calculations of the fine-structure splitting are performed. A systematic variat

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