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SRH University Berlin | Researchclopedia

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SRH University Berlin

Berlineducation

793

Works

9,567

Citations

49

h-index

Top Research Topics

Corporate Governance and Management Corporate Management and Leadership Digital Innovation in Industries

Top Researchers

M. Ahmad Mitchell Institute

1,595 works87,417 citationsh-index: 126

Recent Research

Coordination of collaboration in hybrid teams (CoCoh): Development and validation of the construct

Lisa-Maria Marquardt,Carsten C. Schermuly,et al.

20260 citations

Job Satisfaction and Organizational Behavior

Psychology, Coaching, and Therapy

Law and Political Science

Innovation, Technology, and Society

Digitalization, Law, and Regulation

Coaching Methods and Impact

Gender Diversity and Inequality

Criminal Law and Policy

Sociology and Education Studies

Andreas Heinz University of Augsburg

2,009 works75,702 citationsh-index: 132

Wolf O. Bechstein Goethe University Frankfurt

1,110 works36,139 citationsh-index: 82

Klaus Schwarz Universidad de Granada

439 works23,946 citationsh-index: 81

857 works23,108 citationsh-index: 73

Zheng Li Guangzhou University

1,296 works20,722 citationsh-index: 73

Rezension von <i>Agiles Arbeiten</i>

Tabea Augner,Carsten Schermuly

20260 citations

From Clicks to Clean Energy: Assessing the Role of Fintech, Carbon Emissions, Renewable Energy, and Environmental Quality in Shaping Public Health Across <scp>BRICS</scp> Economies

Haopeng Wang,Farzana Abid

20260 citations

investigates the relationship between training diversity and zero-day detection capability in machine learningbased intrusion detection systems. Rather than develop a new detection algorithm, this research will evaluate how the diversity of attack families present in the training dataset affects the ability of a classifier to detect previously unseen attacks. To accomplish this objective, a diversity controlled evaluation methodology will be developed where classifiers will be trained with various subsets of attack families and then tested on previously unseen families.

Adithya Vasudeva

20260 citations

investigates the relationship between training diversity and zero-day detection capability in machine learningbased intrusion detection systems. Rather than develop a new detection algorithm, this research will evaluate how the diversity of attack families present in the training dataset affects the ability of a classifier to detect previously unseen attacks. To accomplish this objective, a diversity controlled evaluation methodology will be developed where classifiers will be trained with various subsets of attack families and then tested on previously unseen families.

Adithya Vasudeva

20260 citations

Comparative Life Cycle Assessment of Recycled Polypropylene, Virgin Polypropylene, and Virgin Cotton Tote Bags: Environmental, Economic, and Durability Analysis

20260 citations