Business Strategy and the Environment, EarlyView.ABSTRACT Focusing on firm‐size heterogeneity, this study examines how institutional reform reshapes the effects of environmental, social, and governance (ESG) disclosure on firm value. Using 2019–2023 panel data on 1427 Japanese listed firms (before and after the 2022 Tokyo Stock Exchange reorganization and Corporate Governance Code revision), this ...
Akio Nakashima, Kimitaka Nishitani
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AI-IoT driven system for agricultural pest outbreak risk prediction. [PDF]
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Hybrid Lexical-Semantic AI Architecture for Automated Cancer Registry Coding for the Vet-ICD-O-Canine-1 System from Free-Text Veterinary Pathology Reports. [PDF]
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ML-FSID-FIS: A Multi-Level Feature Selection and Fuzzy Inference System for Intrusion Detection in IoMT. [PDF]
Sensors (Basel)Balhareth G, Ilyas M, Alkanjr B.
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Design optimization of wearable antennas using an adaptive network-based fuzzy inference system. [PDF]
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A multi-view TSK fuzzy system with deformable Gaussian membership functions and rule-level attention for classification. [PDF]
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Adaptive fuzzy sliding mode control applied to inverted pendulum. [PDF]
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Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512), 2002Applications of genetic algorithms (GA) for optimisation problems are widely known as well as their advantages and disadvantages compared with classical numerical methods. In practical tests, GA appears a robust method with a broad range of applications. The determination of GA parameters could be complicated. Therefore for some real-life applications,
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