… , the integration of deeplearning classifiers emerges as a promising avenue to optimize the planning of e-wastecollection. By harnessing the capabilities of deeplearning, these …
P Ramya, V Ramya - Advances in Engineering Software, 2023 - Elsevier
… The main purpose of this study is to design and introduce a robust E-wastemanagement approach, named FrHHGO-based ShCNN. The key concerns of the research work are …
P Ramya, V Ramya, M Babu Rao - Cybernetics and Systems, 2023 - Taylor & Francis
… E-waste classification is fulfilled using fractional Henry … deep convolutional neuralnetwork (FHGO-based deep CNN) is shown in this manuscript. To predict the optimal path the E-waste …
H Li, Z Jin, S Krishnamoorthy - … of the 6th International Conference on …, 2021 - dl.acm.org
… e-waste. This paper presents the utilization of ML (MachineLearning) for E-WasteManagement … boosting regression tree (GBRT) and NeuralNetwork (NN) ML calculations to gauge …
M Naushin, A Saraswat, K Abhishek - … Machine Intelligence and Signal …, 2022 - Springer
… is the third-largest e-waste generator. The management of e-waste is complex because of less awareness. This paper aims to improve e-wastemanagement by segregating them from …
… known as e-wastemanagement by exploiting the dynamic convolutional neuralnetwork (DCNN). … Machinelearning models have the drawback of just having a few examples of each …
D Voskergian, I Ishaq - Journal of Smart Cities and Society, 2023 - content.iospress.com
… a smart e-wastemanagement system that … train a deeplearning model to perform real-time e-waste object detection, providing a more comprehensive view of the e-wastemanagement …
… e-wastemanagement system presented in this study is a game-changing approach designed to solve the growing issues of e-wastecollection, … resulted in increased ewaste generation, …
H Karbasi, A Sanderson, A Sharifi… - proceedings on the …, 2018 - search.proquest.com
… deeplearning technique has been introduced to enable a novel robotic application in shredded electronic waste (e-waste… ; commonly found in shredded e-waste. Speed and accuracy …