Evaluating Hybrid Model Performance in Predicting the Impact of Lockdown on Controlling Covid-19 Cases Progression in Middle Income Settings
A Method for the Identification of Denial of Service (DoS) Attack in Network Traffic using Machine Learning Techniques
Agriculture Management System
Unveiling Sentiment Analysis: A Comparative Study of LSTM and Logistic Regression Models with XAI Insights
Resume Screener System
Efficient Agent Based Priority Scheduling and LoadBalancing Using Fuzzy Logic in Grid Computing
A Survey of Various Task Scheduling Algorithms In Cloud Computing
Integrated Atlas Based Localisation Features in Lungs Images
A Computational Intelligence Technique for Effective Medical Diagnosis Using Decision Tree Algorithm
A Viable Solution to Prevent SQL Injection Attack Using SQL Injection
Nutritional options and early life consuming behavior has marked as foremost dietary status of girl little ones. The goal of the look at turned into to discover consuming behavior of 10 – 20 age of girl children the usage of lady toddler consuming conduct Questionnaire. Matched questionnaires describing pronounced snack intake, consuming motivations and wholesome eating regimen were finished by way of one hundred girl infant. By way of being a high-quality position model for your developing girl infant, you may set an instance of wholesome dietary conduct. This examines targeted on standards of ingesting behavior of woman baby and to explain and analyze the content of food intake information's through Google paperwork. Series and evaluation of information have been furnished thru analyzing the content of paperwork approximately eating behavior, particularly fresh fruit, seafood, milk, vegetables, and proteins & calories. Using Google paperwork, a complete of one hundred precise forms had been retrieved and analyzed by making use of data mining strategies and cluster analysis. The findings of this look at found out that girl infant of their answers tended to explain eating conditions, and food habits, as well as to express emotions towards food items. This looks at additionally provides idea towards the food regimen and health-associated behavior trade for preventing the healthy consuming behavior for girl infant in puberty time in addition to enhancing the health circumstance. The outcomes of this look at may be used as a recommendation in the direction of the measurement of ingesting behavior coping with health of the woman child the use of Two step cluster, k means cluster and hierarchical clustering evaluation in IBM SPSS (Statistical Package for the Social Sciences) Statistics 21.0.
An Automated examination system for evaluation and descriptive test is an online based examination system in which exams are conducted online. The primary purpose of this Smart Examination system is to build an automated examination system. There is no need of paper and pen. Here students can write exam using internet or intranet. We will mainly use Machine Learning, Natural language processing (NLP) that generates a descriptive test automatically. The main objectives are analyzing sentence and find the semantic meaning of student answer and compare with actual answer defined by instructor and then assigns final scores. Now compare the automated evaluated score with the manual evaluated score with a specific threshold if threshold is deviated then with use of machine learning algorithm can improve the automated evaluation process. It saves lot of valuable time of teachers, reduce work, and complete the evaluation on time.
Cryptography is often used to keep information confidential by making it illegible. However, incomprehensible information may raise suspicions of the adversary and may lead him to sabotage this style of communication. Therefore, steganography has a place in the arena of information security. Steganography refers to the technique of hiding information in digital media to hide the existence of information. Data caching is the art of hiding data for colorful purposes similar as; to maintain private data, secure non-public data and so on. Securely exchange the data over the internet network is veritably important issue. So, to transfer the data securely to the destination, there are numerous approaches like cryptography and steganography. In this design we propose a LSB & DCT grounded steganographic system for hiding the data by applying Least Significant Bit (LSB) algorithm for bedding the data into the images which is enforced through the HTML, CSS, JavaScript.
In the domain of natural language processing, sentiment analysis is an important field for any review. Nowadays Indian languages are more popular for any product review. In North India, Hindi is the most widely used language. People having Hindi as their mother tongue can easily express their opinions and thoughts through that language. In the field of research, Hindi language has many challenges due to very less research work, limited data for analysis and less size of corpus data. Deep learning techniques are currently used for predicting feelings. Recurrent Neural Network (RNN), particularly the Long Short Term Memory (LSTM) and Convolution Neural Network (CNN), are two generally used deep learning approaches. Depending on the domain area of application, the strategies are utilized in combinations or as stand-alone procedures. This review paper emphases on the numerous flavours of deep learning approaches employed in various applications of sentiment analysis at the sentence and aspect levels.
This is a web application designed to manage all police stations in the area. The system consists of four modules, such as the admin module, investigator module, user module, and visitor module. The user is the one who registers the complaint after logging in. The visitor is a user without registration. Visitors can view live news, helpline numbers, and a list of missing persons. In the area, all police stations are managed and administrated by the Superintendent of Police (SP) in this application. Complaints will be taken by the investigator (Police Sub Inspector (PSI)) of the police station entered by the user. If the investigator cannot resolve this complaint, they may forward this complaint to the administrator. The Administrator manages the complaints sent by the investigator and assigns the cases to a higher investigator such as a Circle Inspector (CI), Deputy Superintendent of Police (DSP), etc., and the admin will manage the police stations working under its control. The investigator processes the cases assigned by the administrator and resolves it. Conversational interfaces, also called chatbots, are the best and newest way to get people involved in working with computer systems. Optimizing the use of chatbots between services and people enhances the customer experience. At the same time, companies are being given new opportunities to improve operational efficiency and the customer experience process by reducing typical customer service costs. To be successful, a chatbot must perform these tasks effectively. Human support is needed when approaching. Human intervention is critical to optimizing, customizing, and training a chatbot system.
