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Automated Weed Detection in Crop Fields Using Convolutional Neural Networks: A Deep Learning Approach for Smart Farming Open
Deep learning is a part of modern machine learning that includes deep belief networks, deep neural networks, and recurrent neural networks. Computer vision, audio processing, and language comprehension are the most important sectors of dee…
Cogniface: innovative identity insight through convolutional neural networks Open
Cogniface is an innovative web-based facial recognition system that analyzes real-time facial inputs through a live webcam, matching them against a pre-existing database of faces. It utilizes Convolutional Neural Networks (CNNs) to capture…
Anomaly Detection in Transactions Using Machine Learning Open
Finding anomalies in financial transactions is a crucial task for spotting odd or perhaps fraudulent activity. This study offers a thorough Transaction Anomaly Detection system that efficiently detects questionable financial transactions b…
An Efficient Model for Optimizing Hyperparameters in AlexNet for Precise Malignancy Detection in Lung and Colon Histopathology Images with CSIP-EHE Open
Cancer, a lethal disease stemming from genetic anomalies and biochemical irregularities, presents a major global health challenge, with lung and colon cancers being significant contributors to morbidity and mortality. Timely and precise ca…
Identifying emerging financial bubbles using machine learning Open
Financial bubbles arise very easily in unstable and fluctuating financial markets, and their bursting can cause immense economic disruption when it does occur. Traditional detection methods primarily rely on historical data, making it chal…