Titlebook: Computing Science, Communication and Security; First International Nirbhay Chaubey,Satyen Parikh,Kiran Amin Conference proceedings 2020 Sp

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Applications of Classical and Deep Learning Techniques for Polar Bear Detection and Recognition from arctic inhabitants. The main challenge for this problem is to detect the white bear on the white ice. This paper covers the approaches which have shown valuable results for contrast objects captured from the plane, like cars, ships, and many others, instead of the polar bears that look blurry on th

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Predicting Passenger Flow in BTS and MTS Using Hybrid Stacked Auto-encoder and Softmax Regressionrs the transportation industry also gets modernized due to the influence of big data. With these two trending topics, the traditional issue found in transportation industry while predicting the passenger flow is again taken into consideration in this method for solving the issues in passenger flow f

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Deep Recurrent Neural Network with Tanimoto Similarity and MKSIFT Features for Medical Image Search trieval (CBIR) technique is essential in the domain of image retrieval. Due to the growing medical image data, the searching or retrieving a relevant image from the dataset is a major problem. To address this problem, this paper propose a new medical image retrieval technique, namely Multiple Kernel

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Demystifying Computational Techniques Used to Diagnose Tuberculosisple infected with tuberculosis. For detecting disease in the medical field using the computational technique, MRCNN & UNET Model has achieved impressive accuracy across multiple datasets like brain tumor (Multimodal Brain Tumor Image Segmentation (BRATS 2015) datasets), glaucoma and other based on d

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RETRACTED CHAPTER: Optimization of Driving Efficiency for Pre-determined Routes: Proactive Vehicle Tow during peak hours. This paper proposes a solution to the problem of vehicle control through a proactive approach based on Machine Learning. Through this solution, a traffic control system learns about traffic flow in order to prevent future problems of long queues at traffic lights. The architect

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Emotion Classification with Reduced Feature Set SGDClassifier, Random Forest and Performance Tuningmore challenging due to diverse kind of emotional content and such content is growing on web these days. This research work is classifying emotions written in Hindi in form of poem with 4 categories namely Karuna, Shanta, Shringar and Veera. POS tagging is used on all the poem and then features are

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Cyber Intrusion Detection Using Machine Learning Classification Techniquese of fulfilling cyber-security is increasing consistently. It also needs a proper protection system for numerous .. Thus, detecting inconsistency and attacks in a computer network and developing . (IDS) that performs a potential role for cyber-security. Artificial intelligence, particularly ., has b