[logseq-plugin-git:commit] 2025-06-23T07:40:16.663Z

assets/storages/logseq-citation-manager/Biblioteca-zotero.bib

@@ -2988,7 +2988,7 @@ This paper investigates the conceptual and technical feasibility of a new softwa
 \par
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 \par
-66AQQ5ZI\{"readingTime":\{"page":4,"data":\{"0":560,"1":730,"2":830,"3":500\}\}\}
+66AQQ5ZI\{"readingTime":\{"page":4,"data":\{"0":590,"1":730,"2":830,"3":500\}\}\}
 \par
 78JSCZMI\{"readingTime":\{"page":12,"data":\{"0":810,"1":1060,"2":440,"3":610,"4":430,"5":520,"6":760,"7":220,"8":430,"9":500,"10":200\}\}\}
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@@ -3048,6 +3048,8 @@ NT9K3QWI\{"readingTime":\{"page":22,"data":\{"3":10,"20":10\}\}\}
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 PC66MPNE\{"readingTime":\{"page":494,"data":\{"0":10,"4":240,"5":130,"365":10,"368":10,"371":10,"376":10\}\}\}
 \par
+PHCY5TNK\{"readingTime":\{"page":5,"data":\{"0":10\}\}\}
+\par
 PLHRFXWP\{"readingTime":\{"page":12,"data":\{"0":550,"1":310,"2":460,"3":670,"4":620,"5":350,"6":100,"7":80,"8":80,"9":180\}\}\}
 \par
 PM5PCLML\{"readingTime":\{"page":5,"data":\{"0":1480,"1":1350,"2":1000,"3":130,"4":80\}\}\}
@@ -3072,7 +3074,9 @@ VLTJ8SXY\{"readingTime":\{"page":9,"data":\{"0":10,"2":30,"5":30\}\}\}
 \par
 WLPPNLMM\{"readingTime":\{"page":15,"data":\{"0":10\}\}\}
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-WTJQ6HKL\{"readingTime":\{"page":7,"data":\{"0":280,"1":260,"2":90,"3":120,"4":20,"5":40\}\}\}}
+WTJQ6HKL\{"readingTime":\{"page":7,"data":\{"0":280,"1":260,"2":90,"3":120,"4":20,"5":40\}\}\}
+\par
+YEVLCCWZ\{"readingTime":\{"page":5,"data":\{"0":350,"1":770,"2":830,"3":520,"4":20\}\}\}}
 }
 
 @misc{AddressingOrganizationalTechnical,
@@ -30446,6 +30450,10 @@ It is shown that a distribution of simulation effort over a larger sample of inp
 Dragonfly is described, a simulator of the behaviours of individual and collection of drones in various environments, involving random contextual variables and different environmental settings, which simulates adaptive behaviours of drones due to exceptional situations.}
 }
 
+@misc{Main,
+  title = {Main}
+}
+
 @incollection{maiwaldWhatAreReal2019,
   title = {What {{Are Real JSON Schemas Like}}?: {{An Empirical Analysis}} of {{Structural Properties}}},
   shorttitle = {What {{Are Real JSON Schemas Like}}?},
@@ -35470,6 +35478,14 @@ A model-driven deep neural network-based detector, namely OBMNet, is proposed wh
   langid = {english}
 }
 
+@article{nguyenTeamworkMakesDream2025,
+  title = {Teamwork Makes the Dream Work: {{LLMs-Based Agents}} for {{GitHub README}}.{{MD Summarization}}},
+  author = {Nguyen, Duc S H and Truong, Bach G and Nguyen, Phuong T},
+  date = {2025},
+  abstract = {The proliferation of Large Language Models (LLMs) in recent years has realized many applications in various domains. Being trained with a huge of amount of data coming from various sources, LLMs can be deployed to solve different tasks, including those in Software Engineering (SE). Though they have been widely adopted, the potential of using LLMs cooperatively has not been thoroughly investigated.},
+  langid = {english}
+}
+
 @inproceedings{Nicolae2021,
   title = {Metamodel-Based Prediction of {{On Resistance}} for Microelectronic Power Switches},
   author = {Nicolae, G. and Buzo, A. and Feuerbaum, C. and Diaconu, C.V. and Cucu, H. and Pelz, G. and Burileanu, C.},