Detection of Cyberbullying Using Machine Learning and Deep Learning Algorithms IEEE BASE PAPER ABSTRACT: Use of digital technologies lead to the development of cyberbullying and social media has become a major source for it compared to mobile phones, platforms such …
Pneumonia Detection using Deep Learning IEEE BASE PAPER ABSTRACT: Pneumonitis is a fatal disease that has an adverse effect on human respiratory system. It makes the air sacs of lungs inflammatory. It can happen due to viral or bacterial infections. …
Intrusion Detection System Using Improved Convolution Neural Network IEEE BASE PAPER ABSTRACT: Network intrusion detection technology plays an important role in maintaining network security, the main work is to continuously detect the current network status, through the detection of abnormal …
A Machine Learning-based Approach for Crop Yield Prediction and Fertilizer Recommendation IEEE BASE PAPER ABSTRACT: Agriculture plays a critical role to Indian global economy and contributes a major part to GDP. With the expansion of the human population, it is …
Air Quality Prediction Based on Machine Learning IEEE BASE PAPER ABSTRACT: In recent years, due to the vigorous development of industrialization, environmental protection measures cannot be effectively guaranteed. Increasingly serious environmental problems have gradually become the primary problem affecting the …
A Machine Learning Based Approach for Wine Quality Prediction IEEE BASE PAPER ABSTRACT: Wine is a popular drink across the globe and the gender. Older the Wine, better is the taste but, expensive. The Wine quality is measured based on …
Soil Analysis and Crop Recommendation using Machine Learning IEEE BASE PAPER ABSTRACT: India is the land of agriculture and is among the top three global producers of many crops. The Indian farmer lies at the heart of the agricultural sector …
Rice Leaf Disease Prediction Using Machine Learning IEEE BASE PAPER ABSTRACT: In the realm of agricultural data, automated detection and diagnosis of rice leaf diseases is greatly sought. Machine learning plays an important role here and can handle these difficulties …
Electricity Theft Detection in Smart Grids Based on Deep Neural Network IEEE BASE PAPER ABSTRACT: Electricity theft is a global problem that negatively affects both utility companies and electricity users. It destabilizes the economic development of utility companies, causes electric …
Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms IEEE BASE PAPER ABSTRACT: People can use credit cards for online transactions as it provides an efficient and easy-to-use facility. With the increase in usage of credit cards, …