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Titlebook: Machine Learning and Metaheuristics Algorithms, and Applications; Second Symposium, So Sabu M. Thampi,Selwyn Piramuthu,Dhananjay Singh Conf

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21#
發(fā)表于 2025-3-25 04:51:07 | 只看該作者
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發(fā)表于 2025-3-25 07:28:57 | 只看該作者
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發(fā)表于 2025-3-25 13:40:56 | 只看該作者
Gaze Fusion-Deep Neural Network Model for Glaucoma Detection,ifier and shown that the proposed model outperforms other classifiers. The model has Area Under ROC Curve (AUC) score 0.75. The average sensitivity of correctly identifying glaucoma patients is 100% with specificity value 83%.
24#
發(fā)表于 2025-3-25 16:00:45 | 只看該作者
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發(fā)表于 2025-3-25 21:56:48 | 只看該作者
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發(fā)表于 2025-3-26 00:46:52 | 只看該作者
27#
發(fā)表于 2025-3-26 05:45:41 | 只看該作者
Big Data: Does BIG Matter for Your Business?,tline the data strategy framework that differentiates the degree of big data requirements. In conclusion, we offer practical advice on strategic usage of big data for best practice management and sound decision-making.
28#
發(fā)表于 2025-3-26 10:42:45 | 只看該作者
Conference proceedings 2021ed in this volume were thoroughly reviewed and selected from 40 qualified submissions. The papers cover such topics as machine learning, artificial intelligence, Internet of Things, modeling and simulation, disctibuted computing methodologies, computer graphics, etc.?.
29#
發(fā)表于 2025-3-26 14:40:27 | 只看該作者
Activity Modeling of Individuals in Domestic Households Using Fuzzy Logic, the individuals within a house are tied in an appropriate way. These activity transitions are then used to simulate a Markov chain of the activities for a sample set of households in a town in Kerala.
30#
發(fā)表于 2025-3-26 20:38:24 | 只看該作者
Modelling Energy Consumption of Domestic Households via Supervised and Unsupervised Learning: A Caseir average energy usage via clustering algorithms. We also have survey data of several houses. In that survey, we have building information, family information and also appliance information. We use various regression techniques to disaggregate the energy usage corresponding to various appliances.
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