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Titlebook: Emerging Trends and Applications in Artificial Intelligence; Selected papers from Fausto Pedro García Márquez,Akhtar Jamil,Isaac Seg Confer

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11#
發(fā)表于 2025-3-23 11:15:28 | 只看該作者
Numerical and Experimental Simulations of Damage Identification in Carbon/Kevlar Hybrid Fiber-Reinf
12#
發(fā)表于 2025-3-23 16:20:31 | 只看該作者
13#
發(fā)表于 2025-3-23 19:05:44 | 只看該作者
Simultaneous Optimization of Ride Comfort and Energy Harvesting Through a Regenerative, Active Suspnergy harvesting criteria were simultaneously optimized. Finally, by exploiting the most suitable set of coefficients in the developed control structure, the suspension system showed the ability to recover up to 650 watts of power on rough roads, while leading to a 45% improvement in ride comfort.
14#
發(fā)表于 2025-3-23 23:28:54 | 只看該作者
15#
發(fā)表于 2025-3-24 06:15:26 | 只看該作者
,Predicting Students Answers Using Data Science: An Experimental Study with?Machine Learning,ble methods such as Boosting, Bagging, and Voting. By assessing the optimal hyperparameter values for these algorithms, we aimed to optimize their performance. Our findings revealed that augmenting the dataset with more correlated features significantly improved prediction accuracy. Among the classi
16#
發(fā)表于 2025-3-24 08:09:50 | 只看該作者
Arabic News Articles Classification Using Different Word Embeddings,bserved in the usage of popular word embeddings for Arabic news classification. Despite the state-of-the-art results from transformer models, a significant inclination towards older methodologies still persists. Hence, we aim to highlight the efficiencies of modern techniques. Results indicate that
17#
發(fā)表于 2025-3-24 12:15:22 | 只看該作者
Tree Fruit Load Calculation with Image Processing Techniques,and practical approach to agricultural applications, particularly in estimating olive tree loads. Throughout the study, real-time datasets were generated by capturing images of olive trees at the Tabit Smart Agriculture R&D Center in Ayd?n. The focus was on accurately detecting and counting olives.
18#
發(fā)表于 2025-3-24 16:56:01 | 只看該作者
19#
發(fā)表于 2025-3-24 20:19:21 | 只看該作者
A Decision Support System for Detecting FIP Disease in Cats Based on Machine Learning Methods,Naive Bayes algorithm. The dataset includes of 300 FIP symptoms used by Jones et al. [.], and from ümraniye Vita Veterinary Clinic data were obtained from 150 cats who did not have FIP but went to the clinic for other diseases. This generated dataset is resampled using the Smote algorithm to enlarge
20#
發(fā)表于 2025-3-25 01:11:52 | 只看該作者
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