This research presents a deep learning approach for waste categorization using three pre-trained models such as MobileNetV2, DenseNet121, and ResNet50, a transformer model (Vision Transformer or ViT), and an ensemble ...

Rice is the dominant crop of Bangladesh. Yet, every year a large number of crops are affected by the disease. Conventional detection of rice plant disease in the lab is timeconsuming and involves a lot of time. It leads ...

Caffeine is recognized for improving cognitive processes including attention and alertness. Yet, its impact on brain connections is still inadequately investigated. This this thesis examines the impact of coffee on brain ...

The accurate and early detection of plant diseases is critical for ensuring agricultural productivity and sustainability, particularly for medicinal plants like Soursop (Annona muricata), which holds significant therapeutic ...

Sentiment analysis of Bangla text on social media platforms like Facebook offers valuable insights into public opinion, sentiment trends, and behavior. Despite growing interest, challenges such as intricate morphology, ...

Tea cultivation plays a vital role in the agro economy of countries like Bangladesh, contributing significantly to both economic output and rural livelihoods. But various diseases of tea leave such as Algal Leaf Spot, Red ...

This report presents an IoT development smart irrigation system technology that use for water management and energy saving in agriculture. The system works with ESP32 and multiple sensors, including soil moisture sensor, ...

Kidney disease continues to pose significant global health challenges, where early and precise diagnosis remains crucial for effective treatment planning. Recent advancements in deep learning, particularly Convolutional ...

The utilization of artificial intelligence (AI) in schools has drawn a lot of awareness due to its possible contribution to students' performance. The current study investigates the association between the utilization of ...

Ovarian cancer is a clinical dilemma due to its originally asymptomatic nature and then varied presentation. Early and accurate detection becomes an urgent goal in the course of the optimization of the patient's outcome. ...