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Titlebook: Mathematical Analysis II: Optimisation, Differential Equations and Graph Theory; ICRAPAM 2018, New De Naokant Deo,Vijay Gupta,P. N. Agrawal

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發(fā)表于 2025-3-28 16:36:35 | 只看該作者
978-981-15-1159-2Springer Nature Singapore Pte Ltd. 2020
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發(fā)表于 2025-3-28 19:37:20 | 只看該作者
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發(fā)表于 2025-3-29 02:27:49 | 只看該作者
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發(fā)表于 2025-3-29 06:20:39 | 只看該作者
Strict Practical Stability of Impulsive Differential System in Terms of Two Measures, carried out by perturbing Lyapunov function and by using the comparison principle. The stability properties are investigated in terms of two measures. Our results demonstrate that impulses do contribute to the system’s stability behaviour. An example is given to compliment on results.
45#
發(fā)表于 2025-3-29 09:25:09 | 只看該作者
New Fuzzy Divergence Measure and Its Applications in Multi-criteria Decision-Making Using New Tool,gence measure and its generalization with the proof of its validity. Further, we established relations between new and well-known fuzzy divergence measures. Also, we discussed applications of new fuzzy divergence measure in multi-criteria decision-making using a new tool and its comparison with the TOPSIS method.
46#
發(fā)表于 2025-3-29 13:57:36 | 只看該作者
arner pop up, can cause a dramatic decrease on the recognition accuracy. Existing algorithms as few-shot learning (FSL) and zero-shot learning (ZSL) have not sufficiently used information from other users or clients. If patterns or knowledge from other sources can be utilized as much as possible, th
47#
發(fā)表于 2025-3-29 15:43:08 | 只看該作者
Mithilesh Singh,Nidhi Handa,Shivani Singhals have tried to compare the effectiveness of different machine learning techniques applied for the model development. Also due to the simplicity and effectiveness, customer purchase behavioral attributes, such as, Recency, Frequency, and Monetary Value (RFM) are commonly used for predicting the cust
48#
發(fā)表于 2025-3-29 22:04:55 | 只看該作者
49#
發(fā)表于 2025-3-30 03:11:42 | 只看該作者
50#
發(fā)表于 2025-3-30 06:07:38 | 只看該作者
Abdul Haq,N. Sukavanam spontaneous activity in a network constituted by 1000 neurons. The task of the participants was to compute the effective connectivity between neurons, with the goal to reconstruct as accurately as possible the ground truth topology of the network. The procured dataset is similar to the one measured
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