This paper reviews the vibrant field of nonlinear optical (NLO) properties of metal oxide nanoparticles and nanocomposites. It includes a historic introduction which discusses the birth and successive developments of NLO. An attempt is made to give a summary in a nutshell about the basic concepts of nonlinear optics and different NLO phenomena with special attention to third-order phenomenon and [Formula: see text]-scan technique. The review also touches on the topic of science and technology of metal oxide nanoparticles and nanocomposites, various synthesis processes that include co-precipitation, micro-emulsion, sol–gel route, etc. have been discussed. Metal oxide nanoparticles and nanocomposites are introduced with a deep focus on the origin of various physical mechanisms and optical properties. The origin of NLO properties from these important structures has also been discussed. Some recently studied metal oxide nanocomposites along with their NLO coefficients are also given.

02 May 2025·Leveraging VANETs and Blockchain Technology for Urban Mobility

AI and Machine Learning for Predictive Urban Mobility Management

Author: Ajmire, Prafulla E. ; Chaurasia, Suhashini Awadhesh ; Jewani, Varkha

A new field called Vehicular Adhoc Networks (VANETs) uses wireless local area networks (WLANs) with an ad-hoc topology. Routing complexity and high control overhead are two frequent challenges faced by vehicular ad hoc networks (VANETs). However, most of these initiatives failed to provide a comprehensive solution to the problems associated with routing and control overhead minimization. In order to lower the augmented control overhead, the current work presents an Improved Deep Reinforcement Learning (IDRL) method for routing. As 5G cells arrive, emerging automotive networks could make driving safer, more environmentally friendly, and more efficient. They should also pave the road for autonomous driving. High sequence factors in vehicle settings give rise to a variety of new irritants, which is why remote design approaches are being reconsidered. Future smart cars, which constitute the foundation of high-performance multipurpose networks, are steadily receiving increasingly sophisticated sensors and are still generating vast amounts of data.

14 Mar 2025·Revolutionizing Education With Remote Experimentation and Learning Analytics

The Role of Artificial Intelligence in Higher Education

Author: Jamnekar, Amar Vijay ; Sunny, Md Tanweer Alam

The rising importance of AI in higher education remote experimentation shapes the scientific process for students and researchers. On one hand, this trend develops the ease and speed in conducting experiments; on the other, it feeds innovative ideas and collaboration. AI is increasingly being adopted within institutions of higher learning, especially as technology increasingly becomes used to deliver course content and conduct experiments. These remote experimentation tools are increasingly becoming viable alternatives to practical laboratory sessions, an acceleration fueled by the COVID-19 pandemic restrictions on physical attendance. Blending remote experimentation tools with AI affords students an interactive learning experience, personalized feedback, and virtual support. It's expected that AI in remote experimentation is going to form a basis of considerable impact on how the delivery and teaching of science courses go in higher learning.

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