Titlebook: Innovations in Computer Science and Engineering; Proceedings of 8th I H. S. Saini,Rishi Sayal,Rajkumar Buyya Conference proceedings 2021 Th

偉大

Substitution

CLEFT

IOT-Based Underwater Wireless Communication, starting from aquatic pollution control, marine life monitoring, and quality of the water and moreover signal transmission. Different sensors can be used under water for the above said applications. For signal transmission under water, sound waves and optical signals were used extensively in back.

劇毒

Anguish

Fruit Recognition Using Deep Learning,eural network which will identify the fruit. Using the deep learning and image processing concepts form a neural networking system. The proposed work uses convolution neural networks in building the model and also used ResNet to get the results of image classification from deep learning concept. To

混雜人

Adenoma

Automotive Accident Severity Prediction Using Machine Learning, find out the specific features which could affect the vehicle accident severity. In this paper, some of the classification models, specifically logistic regression, artificial neural network, decision tree, k-nearest neighbors and random forest, have been implemented for predicting the accident sev

信徒

Analysis of Quality of Experience (QoE) in Video Streaming Over Wi-Fi in Real Time,a measure has to be considered which depicts the delight or annoyance of the users’ experience with the services. Quality of Experience is one such measure which focuses on the experience of the users with the services delivered, unlike quality of service (QoS) which focuses on the media or network

使困惑

Self Driven UGV for Military Requirements,educe human life loss as it may be impossible to have a human operator present at the location. The vehicle will have a set of sensors to observe the environment which mainly contains four cameras and a gun loaded on the top of the UGV acting like a turret. The bot will have two modes of operation.

Mosaic

Vehicular Ant Lion Optimization Algorithm (VALOA) for Urban Traffic Management,st suitable for vehicle networks due to their efficiency in production with DE modifies due to vehicular network mobility. Parameters are linked-stable, network speed, and environment situations, etc. This research article presents a traffic-based management system-based protocols for VANETs satisfa