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22001 - 22010 von 22324

	22001	Toward support-vector machine-based ant colony optimization algorithms for intrusion detection Enthalten in Soft computing Bd. 27, 28.2.2023, Nr. 10, date:5.2023: 6297-6305
	22002	Towards a decision support system for post bariatric hypoglycaemia: development of forecasting algorithms in unrestricted daily-life conditions Enthalten in BMC medical informatics and decision making Bd. 25, 20.1.2025, Nr. 1, date:12.2025: 1-11
	22003	Towards a Green Electromobility Transition: an overview of existing algorithms and their suitability for automated disassembly of electric vehicle battery systems Enthalten in The international journal of advanced manufacturing technology Bd. 139, 23.7.2025, Nr. 7-8, date:8.2025: 3239-3255
	22004	Towards a standard benchmark for phenotype-driven variant and gene prioritisation algorithms: PhEval - Phenotypic inference Evaluation framework Enthalten in BMC bioinformatics Bd. 26, 22.3.2025, Nr. 1, date:12.2025: 1-18
	22005	Towards determining the presence of barren plateaus in some chemically inspired variational quantum algorithms Enthalten in Communications Physics Bd. 7, 18.10.2024, Nr. 1, date:12.2024: 1-9
	22006	Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge Enthalten in Nature Communications Bd. 16, 8.7.2025, Nr. 1, date:12.2025: 1-20
	22007	Towards generic real-time mapping algorithms for environmental monitoring and emergency detection Enthalten in Stochastic environmental research and risk assessment Bd. 22, 19.6.2007, Nr. 5, date:8.2008: 601-611
	22008	Towards greener city logistics: an application of agile routing algorithms to optimize the distribution of micro-hubs in Barcelona Enthalten in European transport research review Bd. 16, 23.8.2024, Nr. 1, date:12.2024: 1-22
	22009	Towards provably efficient quantum algorithms for large-scale machine-learning models Enthalten in Nature Communications Bd. 15, 10.1.2024, Nr. 1, date:12.2024: 1-6
	22010	Towards quantifying psychiatric diagnosis using machine learning algorithms and big fMRI data Enthalten in Big data analytics Bd. 3, 31.5.2018, Nr. 1, date:12.2018: 1-3