MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

Engineering and Technology

Deep Learning is one of the active analysis topic obtaining a great deal of analysis attention recently. This increase in analysis interest is driven by several area as that are being worked on like machine-based reality finding, good over-seeing, sensory activity recognition, online learning, world of advertisement, text analysis and so on. Videos have specific characteristics that make their method unique. Visual aesthetic typically: Remember what they see, understand and learn rather than what they hear. This paper principally emphasizes deep learning on basics of automatic video aesthetic assessments.

School of Computer Engineering & Technology

International Journal of Scientific Research in Computer Science, Engineering and Information Technology

Analysis and Importance of Deep Learning for Video Aesthetic Assessments

Aesthetics is defined by the properties of arts and beauty. In our day to day lives with the increase of multimedia requirements the aesthetic sense of images and videos has gained much importance. The earlier research was based on the Handcrafted features to assess the aesthetics of videos and images. In this paper, we review the deep learning techniques which effectively automate the video and image aesthetics analysis. Deep learning achieves an impressive performance in automated aesthetics analysis in comparison to Handcrafted features.

Fulltext

International Journal for Research in Applied Science and Engineering Technology

Survey: Deep Learning for Video Aesthetics

Accidents due to the hazy vision in adverse atmospheric conditions is not an issue limited to a region.It is observed worldwide that even after developing the road safety knowledge the accidents in hazy atmosphereare not reduced. These are due to some constraints like blurred vision in hazy conditions in which human eyescannot detect vehicles or other objects coming in front of vehicle. To overcome this issue there should be someinterface between the driver and the objects coming in front of vehicle. The issue occurs while driving in hazyenvironment and can be avoided by providing an interface which will store the video in form of frames at aspeed specified by the camera module used on the front panel of the vehicle. The video stored in format offrames will be processed through the Raspberry Pi which is a series of small single board computer. There willbe a provision for the driver to turn on the system whenever it is necessary by pressing a button and then therewill be a TFT display provided inside the vehicle to visualize the objects coming in front of the vehicle inadvance to the driver

School of Electronics & Communication Engineering

iosrjen

Image Processing for Hazy Weather Conditions

A chatbot is a software that simulates aconversation with a human in a generalized form throughvarious applications like messaging, websites, mobileapplications, etc. Traditionally, a search engine was used toanswer any type of questions, but with the advancement intechnology the use of chatbot has increased and it allows theuser to simply ask any question in a same manner they wouldcommunicate with humans. The interesting features of this is thatthey are self-learning and become intelligent over time usingtechnologies like Machine Learning and Natural LanguageProcessing(NLP). This paper provides a brief overview of the useof NLP in chatbot as well as the working of different algorithms.It studies various machine learning algorithms used fordeveloping chatbots.

Thomson Reuters UGC approved peer reviewed journal,

An overview of NLP based Chatbot

Now a day’s mobility in sink has been renowned by the researchers. In normal conditions the data is collected by the sink with single or multi hop structure. A concept is introduced for sink with the mobility. A lot of research is going on in the field of data collection using mobile sink. The researchers talked about sink mobility where the sink is moving in the specified area and get the data from the sensor node. For collecting the data from the sensor node the mobile sink may or may not take different path on each journey. If route is not fixed then path should be calculated which should be a shortest path .For data collection methods it may use single sink or multi sink. Sink mobility basically focuses on various factors like energy consumption, life time of the network, cost of the network , hotspot problem etc .This paper contains a survey of different methods used for data collection using mobile sink.

Universal Review

Data Collection Methods to improve the lifetime of WSNUsing Mobile Sink: A Survey

World University root node

International Journal for Research in Applied Science & Engineering Technology

Link Prediction on Social Media: Survey

The goal of education is not to increase the amount of knowledge but to create the possibilities for a child to invent and discover, to create men who are capable of doing new things. Jean Piaget Education plays an important role in development nation by creating good, responsible, and intelligent individuals who are politically, socially and economically sound. Effective teaching is important because it transforms the student from one level to other higher level which makes the students independent learners. Effective teaching does not mean being perfect or giving the wonderful performance, but bringing out best from the students which will not only make the students technically strong but also make them good and responsible citizen who in turn will contributes back for nation development. Today Machine learning algorithms or Artificial Intelligence plays very vital role for technical development in every domain for example medical, engineering, teaching, agriculture, military etc. Professor 4.0 is a virtual professor developed by using various animated software like Maya, Alice, Blender etc. , trained by machine learning algorithms and which delivers the lecture exactly same as the real professor taking the class. The main objective of this research is to create a virtual professor who can take a class on particular session, answer students queries, control the class and give best technical knowledge to the students. Virtual Professor 4.0 is trained through machine learning algorithm in such a way that it can answer all the student queries on a particular topic. The outcome of this research is that the combination of this virtual professor with the WPU professor who are physically fit mentally alert and spiritually enlightened can definitely contribute for effective teaching/learning process to make our smart WPU student to responsible citizen contributing for nations growth.

Global Journal of Innovative Higher Learning

Professor 4.0 An Approach For Effective Education 4.0

The Share Market Prices fluctuates very often because of multiple external variables like crude oil price change, gold, government policy change, etc. This paper describes the Deep Neural Network (DNN) for the actual-time financial fluctuations (stock market) and also for future market price situation prediction. Authors have design the model by using two related important concepts of Deep Learning (DL) and Reinforcement Learning (RL). For informative feature learning, deep learning is used to automatically sense the dynamic market condition. Then, using this deep information, RL module takes decisions about trading to collect the rewards in strange environment. Many researchers have developed various Deep Learning Models and Algorithms to predict the Share Market fluctuations. This paper talks about the understanding of the dynamic market and the deep learning techniques to understand and predict the future situation in Share Market Prices.