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Vehicle identification and classification in a traffic environment containing mixed background is an important application of machine vision. The goal of this paper is to build a classifier for vehicle identification using hybrid features. The proposed work is to identify a "car" from a "non-car" amidst the mixed background taken from University of Illinois at Urbana-Champaign (UIUC) standard database. UIUC image database contains mixer of car and non-car image database. Every image is divided into equal sized small sub-block images. The Zernike features and Singular Value Decomposition (SVD) features are extracted from each sub-block of the image. The features of the vehicle objects are fed to the artificial neural classifier after normalization. The performance of the classifier is compared with various literature methods of similar work. Quantitative evaluation shows improved results of 95.6% compared with the literature papers. A critical evaluation of this approach under the proposed standards is presented.

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Teachers are active ingredients of educational system. Pandemic made us aware of online learning. Teachers improvising the learners to add values to educational behavior and attitude. Education never ages, the importance of its lifelong learning everywhere at every time. Artificial intelligence (AI) is a broad context, helps to develop educational strategies for present day scenario. It allows educators to benchmark and develop critical analysis to redesign educational policies for the implementation of innovative learning and teaching strategies in educational institutions. AI helps in educational transformation and accelerating basic educational skills by introducing software robots implemented in classrooms and other devices to make reminders for essential educational activities and assignments. In European countries they are utilizing teaching assistants as robots paired with Augmented Reality (AR) and Virtual Reality (VR) system and now they are providing MR (Mixed reality) altogether called Immersive Technologies promotes lifelong learning capabilities which makes learners engaged in creation, active learning collaboration, problem solving and makes learning as a real life experience in all educational perspectives.