ELUCIDATION OF INTELLIGENT CLASSIFICATION FRAMEWORK FOR HYDROPONIC LETTUCE DEFICIENCY USING ENHANCED OPTIMIZATION STRATEGY AND ENSEMBLE MULTI-DILATED ADAPTIVE NETWORKS

Recent technological breakthroughs enable academics to suggest automating hydroponic farms to increase productivity and reduce workforce requests, hence improving agricultural profitability and output.Traditional deep learning models for detecting plant diseases may pose challenges in terms of their compatibility with embedded systems and only a fe

Transformer-based models have garnered attention because of their success in natural language processing, and in several other fields, such as image and automatic speech recognition.In addition to them being trained on unimodal information, many transformer-based models have been proposed for multimodal information.In multimodal learning, a common

Background and Objectives: To investigate (1) the prevalence of sleep disorder symptoms in caregivers of children with autism spectrum disorder (ASD) and (2) the relationships between caregiver sleep problems and their health-related quality of life and family quality quad port fittings of life.Materials and Methods: Descriptive cross-sectional stu