Titlebook: Synthesis and Device Applications of Graphene Derivatives and Quantum Dots; Fangyan Sun Book 2024 The Editor(s) (if applicable) and The Au

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Comprehensive Review: Synthesis, Properties and Applications of Graphene-Based Materials,a discussion of the latest advancements and challenges in this field. The chapter aims to provide a thorough understanding of the state-of-the-art synthesis techniques, the unique properties of these materials, and their applications in solar cell technology.

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Synthesis of Graphene Quantum Dots for Photovoltaics,plications. The primary focus of this chapter isthe exploration of the impact of H.O. on the PL properties of GQDs and to investigate the underlying mechanisms contributing to their enhanced PL behavior.

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Top-Down Synthesized Graphene Quantum Dots in Photovoltaic Devices,ojunction at the interface of PEG-GQDs/PEDOT: PSS in planar devices. The device is fabricated by physical vapor deposition (PVD) and solution processing method. The performance of the device is characterized by the behavior under the illumination of UV and LED light. Optical and electrical character

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ns to problemslong discussed in the criminology literature. For each ofthe studied problems,we start with well-founded concepts and theories in criminology, then propose acomputational method and finally provide a thorough experimental evaluation,along with a discussion of the results. In this way,

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Fangyan Sunfying such trends in data streams is the main theme of the study described in this chapter. We mainly concentrate on real-time stream data analysis to better serve time-critical applications where instant decision making is crucial. This study builds on our methodology described in (Xylogiannopoulos

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Fangyan Sun, how tags are created and how to choose the right tags for recommendation. Metadata generated in the form of tags can be efficiently used to improve web search, for web object classification, for generating ontologies, for enhanced browsing etc. We would discuss these applications and conclude with

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Fangyan Sunowards a common goal. We describe algorithms that identify effective expert teams within a network of experts. The chapter is a survey of different algorithms for expertise evaluation and team identification. We highlight the basic algorithmic problems and give some indicative algorithms that have b