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Exploiting ChatGPT generated dataset for weather prediction using Seagull Optimization with Deep Learning Model
Item type: Journal Article • Journal: African Journal of Science, Technology, Innovation and Development • Authors: S. Usha --- Assistant Professor (Sr.Gr ), Department of Computer Science and Engineering, University College of Engineering BIT Campus, Anna University, Tiruchirappalli, Tamil Nadu, India K. Rama Devi --- Professor, Department of Information Technology, Panimalar Engineering College, Chennai, India V. Saraswathi --- Professor, Department of Computer Science and Engineering, Chennai Institute of Technology, Chennai, India R. Kavitha --- Assistant Professor, Department of Computer Science and Engineering, University College of Engineering BIT Campus, Anna University, Tiruchirappalli, Tamilnadu, IndiaChatGPT, a powerful language model, can generate diverse fictional weather datasets including temperature, humidity, wind speed, and more. This research proposes the SGOADL-WDC technique, which employs ChatGPT-generated data for weather classification. It integrates data preprocessing with an attention-based bidirectional LSTM...
