بدائل البحث:
marked decrease » marked increase (توسيع البحث)
large decrease » larger decrease (توسيع البحث), large increases (توسيع البحث), large degree (توسيع البحث)
case mean » cases mean (توسيع البحث), wise mean (توسيع البحث)
marked decrease » marked increase (توسيع البحث)
large decrease » larger decrease (توسيع البحث), large increases (توسيع البحث), large degree (توسيع البحث)
case mean » cases mean (توسيع البحث), wise mean (توسيع البحث)
-
1
Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx
منشور في 2025"…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …"
-
2
-
3
-
4
-
5
-
6
-
7
-
8
-
9
-
10
-
11
-
12
-
13
-
14
-
15
-
16
-
17
Regression for case (2).
منشور في 2025"…</p><p>Method</p><p>A Runge-Kutta solver is applied to collect the dataset, which decreases the mean square error by dividing into training as 78%, testing 12% and verification 10%. …"
-
18
Regression for case (3).
منشور في 2025"…</p><p>Method</p><p>A Runge-Kutta solver is applied to collect the dataset, which decreases the mean square error by dividing into training as 78%, testing 12% and verification 10%. …"
-
19
Regression for case (1).
منشور في 2025"…</p><p>Method</p><p>A Runge-Kutta solver is applied to collect the dataset, which decreases the mean square error by dividing into training as 78%, testing 12% and verification 10%. …"
-
20
Mean TTC under different weights.
منشور في 2024"…Safety performance is evaluated using Time-to-Collision (TTC) and speed standard deviation (SD) metrics. Case study results show a significant decrease in SD as the CAV penetration rate increases, with a 58.38% reduction from 0% to 100%. …"