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This book is very beneficial for early researchers/faculty who want to work in Deep Learning and Machine Learning for the classification domain. It helps them study, formulate, and design their research goal by aligning the latest technologies studies’ image and data classifications. The early start-up can use it to work with product or prototype design requirement analysis and its design and development.
Nowadays, with the considerable growth in Deep Learning and Machine Learning classification approaches ranging from many real-world problems such as Artocarpus Classification, Rambutan Classification, Mango Varieties Classification, Salak Classification, Image Processing, Identification for Sapodilla Transfer Learning Techniques, Classification of Jackfruit Artocarpus integer and Artocarpus heterophyllus, Markisa/Passion Fruit Classification, Big Data Classification, etc. Deep Learning and Machine Learning have become indispensable technologies in the current time, and this is the era of artificial intelligence. These techniques find their marks in data analysis, text mining, classification problems, computer vision, image analysis, pattern recognition, medicine, etc. There is a continuous flow of data, so it is impossible to manage and analyze these data manually. The outcome depends on the processing of high-dimensional data. Most of it is irregular and unordered, present in various forms like text, images, videos, audio, graphics, etc.
Artocarpus Classification Technique Using Deep Learning Based Convolutional Neural Network
Rambutan Image Classification Using Various Deep Learning Approaches
Mango Varieties Classification-Based Optimization with Transfer Learning and Deep Learning Approaches
Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models
Image Processing Identification for Sapodilla Using Convolution Neural Network (CNN) and Transfer Learning Techniques
Comparison of Pre-trained and Convolutional Neural Networks for Classification of Jackfruit Artocarpus integer and Artocarpus heterophyllus
Markisa/Passion Fruit Image Classification Based Improved Deep Learning Approach Using Transfer Learning
Enhanced MapReduce Performance for the Distributed Parallel Computing: Application of the Big Data
A Novel Big Data Classification Technique for Healthcare Application Using Support Vector Machine, Random Forest and J48
Comparative Study on Arabic Text Classification: Challenges and Opportunities
Pedestrian Speed Prediction Using Feed Forward Neural Network
Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect