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Titlebook: Evolution in Computational Intelligence; Proceedings of the 1 Vikrant Bhateja,Xin-She Yang,Carlos M. Travieso-Go Conference proceedings 202

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51#
發(fā)表于 2025-3-30 10:21:04 | 只看該作者
https://doi.org/10.1007/978-3-030-12696-4the government. The number one safety measures consist of carrying face masks properly, washing fingers with hand sanitizers regularly, and maintaining social distancing. So, the number one perspective of the venture is to screen people in making them comply with protection precautions in crowded lo
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發(fā)表于 2025-3-30 15:57:31 | 只看該作者
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發(fā)表于 2025-3-30 18:35:17 | 只看該作者
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發(fā)表于 2025-3-31 03:54:00 | 只看該作者
Environmental Kuznets Curve Hypothesis,r age, gender, and vehicle registration plate (or commonly known as number plate) recognition. This proposed system has been integrated into the AI-based Smart Identification Engine and uses an IP-enabled camera to capture real-time information at public places. We use AI to create a convolutional n
56#
發(fā)表于 2025-3-31 05:59:37 | 只看該作者
https://doi.org/10.1007/978-3-642-58517-3pplicability in different real-life applications such as delivering products and mobile crowd-sensing. The objective of the problem is to collect maximum profit from clusters within a given budget. In this paper, we propose an improved integer linear programming (ILP) formulation of the mDmSOP and c
57#
發(fā)表于 2025-3-31 09:45:02 | 只看該作者
Environmental Justice Before U.S. Courts,ime series analysis. A set of keywords are traced in order to better understand the changes in public opinion and responses at different stages of the pandemic, as well as the influences of fake news. These keywords were extracted from Macau netizens’ online comments based on word frequency, TF-IDF,
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發(fā)表于 2025-3-31 14:13:54 | 只看該作者
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發(fā)表于 2025-3-31 20:25:28 | 只看該作者
60#
發(fā)表于 2025-4-1 01:31:49 | 只看該作者
Instruments of Environmental Compliance,ls has been found to be inconsistent. This field, known as stock market prediction and analysis, offers potential for further improvement. This paper proposes a framework based on a long short-term memory (LSTM)-based deep learning model, capable of accurately predicting the closing prices of compan
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