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Titlebook: ICDSMLA 2020; Proceedings of the 2 Amit Kumar,Sabrina Senatore,Vinit Kumar Gunjan Conference proceedings 2022 The Editor(s) (if applicable)

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,A Framework Using Markov-Bayes’ Model for Intrusion Detection in Wireless Sensor Network,s many restrictions for different types of attacks and network structures. A novel strategy for intrusion detection based on knowledge has to be applied where the attacks are prevented from creating deviation of normal features and also from various other aggregated shapes. Multiple types of attacks
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,Effective Text Comment Classification Using Novel ML Algorithm—Modified Lazy Random Forest,L algorithms. There are numerous areas where these algorithms can be used. One such area is to detect whether the comment, sms or text message is SPAM or Normal message. So the aim of this work is to identify the best machine learning algorithms to detect SPAM text message on two different dataset.
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Efficient and Robust Indian Number Plate Recognition Through Modified and Tuned LPRNet,tic data in Indian standards with variant background and font. We also collected and labelled real data of Indian License plates to create a genuine Indian oriented dataset. We compared existing models like SVM, KNN and CRNN in terms of accuracy and inference time, and selected LPRNet. We first trai
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An Improved Machine Learning Prediction Model for Diabetes,diabetes thus saving lives of many. The PIMA diabetes dataset used in the research work consisted of many missing and outlier values which need to be treated. According to the medical practitioners the values of insulin, skin thickness, BMI can never be zero and both diabetic and non diabetic will h
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University Recommendation System for Higher Studies in USA,. New graduate students are typically unaware of the postgraduate admission criteria and procedures and may spend a substantial amount of time obtaining guidance from consulting firms to help them define their admission opportunities. But this methodology can be biased and misleading considering the
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Comparison of Performances of Regression Model-Based Prediction of Meteorological Conditions,of temperature by training with the pre-existing dataset of weather conditions on each day for around 40 years. This trained data is tested to evaluate the temperature of a certain day in the upcoming calendar by date or year. This illustration describes the comparison between different algorithm re
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Vocal Source Builds Divergence in Gender Recognition,s done using various image classification techniques which uses feature extraction from given set of images. As human being’s we can know the gender of the person when we talk to them, can this be achieved by a machine? This is what we are going to work in this research. This research is going to ex
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