fixed all reasonable warnings

thesis/bib/bibliography.bib

@@ -41,7 +41,7 @@
 	numpages = {58},
 	keywords = {outlier detection, Anomaly detection},
 },
-@dataset{alexander_kyuroson_2023_7913307,
+dataset{alexander_kyuroson_2023_7913307,
 	author = {Alexander Kyuroson and Niklas Dahlquist and Nikolaos Stathoulopoulos
 	          and Vignesh Kottayam Viswanathan and Anton Koval and George
 	          Nikolakopoulos},
@@ -204,7 +204,7 @@
 	            performance;Current measurement},
 	doi = {10.1109/IROS51168.2021.9636694},
 },
-  @article{deep_learning_overview,
+article{deep_learning_overview,
 	title = {Deep learning in neural networks: An overview},
 	journal = {Neural Networks},
 	volume = {61},
@@ -258,7 +258,7 @@
 	            autoencoder algorithm are summarized, and prospected for its future
 	            development directions are addressed.},
 }, 
-@article{semi_overview,
+article{semi_overview,
 	author = {Yang, Xiangli and Song, Zixing and King, Irwin and Xu, Zenglin},
 	journal = {IEEE Transactions on Knowledge and Data Engineering},
 	title = {A Survey on Deep Semi-Supervised Learning},
@@ -271,7 +271,7 @@
 	            learning;semi-supervised learning;deep learning},
 	doi = {10.1109/TKDE.2022.3220219},
 }, 
-@book{ai_fundamentals_book,
+book{ai_fundamentals_book,
 	title = {Fundamentals of Artificial Intelligence},
 	url = {http://dx.doi.org/10.1007/978-81-322-3972-7},
 	DOI = {10.1007/978-81-322-3972-7},
@@ -281,7 +281,7 @@
 	language = {en},
 },
 
-@article{machine_learning_overview,
+article{machine_learning_overview,
 	title = {Machine Learning from Theory to Algorithms: An Overview},
 	volume = {1142},
 	ISSN = {1742-6596},
@@ -519,7 +519,7 @@
 	year = {1998},
 	pages = {2278–2324},
 },
-@article{ef_concept_source,
+article{ef_concept_source,
 	title = {Multi-Year ENSO Forecasts Using Parallel Convolutional Neural
 	         Networks With Heterogeneous Architecture},
 	volume = {8},