http://172.22.28.37:8080/xmlui/handle/1/409 Mon, 23 Mar 2026 09:14:29 GMT 2026-03-23T09:14:29Z http://172.22.28.37:8080/xmlui/handle/123456789/1399 Title: Smart Greenhouse with Video Surveillance Robot Authors: Kumbhar, Shradha S. Abstract: Agriculture has played a key role in the development of human civilization. Due to the increased demand of food, people are trying to put extra efforts and special techniques to multiply the food production. Use of different technologies towards agriculture is one of such efforts. Apart from use of scientific technologies in agriculture, information technology is now being heavily exercised in this area. Technologies like satellite navigation, sensor network, grid computing, ubiquitous computing and the context-aware computing are supporting the said domain for improved monitoring and decision making capabilities. Agriculture greenhouse production environment measurement and control system is an example of IOT technology application in agriculture. The critical temperature, humidity and soil signals are collected in real-time in the agriculture production process, which is transmitted by wireless networks through M2M (machine to machine) support platform. It is to gain real-time data of agriculture production environment using SMS (Short Messaging Service), web, WAP (wireless application protocol) pattern, so that the terminal can master the information on. Description: Under the Guidance of Prof. S. A.Thorat Sir Sat, 01 Jan 2022 00:00:00 GMT http://172.22.28.37:8080/xmlui/handle/123456789/1399 2022-01-01T00:00:00Z http://172.22.28.37:8080/xmlui/handle/123456789/1398 Title: Convolutional Neural Networks for the classification of image sentiment based on Deep Learning Authors: Shrikhande, Amit Abstract: Social media these days has attracted researchers and engineers towards a novel field of Sentiment Analysis with Emotion Recognition. Along with showing objects, places, and activities, images and videos can convey information on attitudes and feelings. For example, these sorts of characteristics are particularly beneficial for understanding visual content outside the presence of any semantic notions, which makes it easier for the user to comprehend. People have discovered that sharing photographs on social media is the quickest and easiest means to express feelings, emotions, and ideas. Images and videos are becoming a more popular choice among social media users for conveying their ideas and recounting their experiences. Description: Under the Supervision of Prof. S. U. Mane Sat, 01 Jan 2022 00:00:00 GMT http://172.22.28.37:8080/xmlui/handle/123456789/1398 2022-01-01T00:00:00Z http://172.22.28.37:8080/xmlui/handle/123456789/1397 Title: A Trust Based Collaborative Filtering Recommendation System using Deep Neural Network Authors: Hakke, Ashwini Chandrakant Abstract: Recommender system (RS) are a type of suggestion to the information overload problem suffered by user of websites that allow the rating of particular item. RSs are one of the most successful and widespread applications of machine learning technologies in E-commerce. These techniques are used to predict the rating that one individual will give to an item or social entity. It uses the opinions of members of a community to help individuals in that community to identify the information most likely to be interesting to them or relevant to their needs. These systems use the similarity between the user and recommenders or between the items to form the recommendation list for the user. These preferences are being predicted using different approaches, namely content-based approach, collaborative filtering approach, etc. The movie RS are one of the most efficient, useful, and widespread applications for individual to watch movie with minimum decision time. Many attempts made by the researchers to solve these issues like watching movie, purchasing book etc., through RS, whereas most of the study fails to address cold start problem, data sparsity and malicious attacks. Description: Under the Supervision of Prof. Ajit Mali Sat, 01 Jan 2022 00:00:00 GMT http://172.22.28.37:8080/xmlui/handle/123456789/1397 2022-01-01T00:00:00Z http://172.22.28.37:8080/xmlui/handle/123456789/1396 Title: Content-based Research Paper Recommendation (C-RPR) System using Deep Learning Authors: Mane, Seema Ramchandra Abstract: Recommender system is one of the most critical research areas in today’s world because it helps users to find their interest in the internet. Due to the exponential growth of data every day on the internet, it has become a pervasive problem of information overload and finding relevant information. In recent years, it has become a widespread technique used by many e-commerce applications, such as article recommendations, movie recommendations, product recommendations, music recommendations to provide the right information to their customers In general, recommendation systems have been classified into collaborative and content-based filtering. Description: Under the Supervision of Prof. Ashwini Patil Sat, 01 Jan 2022 00:00:00 GMT http://172.22.28.37:8080/xmlui/handle/123456789/1396 2022-01-01T00:00:00Z