Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
This paper presents a novel self-adaptive neural network architecture leveraging machine learning to dynamically adjust network structure and parameters. Traditional neural network design relies heavily on human expertise, limiting the network's adaptability. This work introduces a framework that utilizes machine learning to automatically optimize the network's architecture and weights, resulting in improved model performance. The core mechanism centers around a reinforcement learning-based approach to iteratively refine the network's structure based on a predefined set of performance metrics. We demonstrate the effectiveness of this approach through extensive experimentation on a variety of benchmark datasets. The paper provides a comprehensive overview of the proposed architecture, detailing its key components and the underlying learning process.
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
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This state-of-practice investigation was performed using a literature review followed by a multiple-case study approach and presents how inconsistency between managerial strategies and execution can lead to failure by means of a behavioral framework.
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This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
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It is found that roles of MVPs in startups were not fully aware by entrepreneurs, and entrepreneurs should consider a systematic approach to fully explore the value of MVP, as a multiple facet product (MFP).
Anh Nguyen-Duc, P. Abrahamsson· International Conference on...· 93 citations· ⚡9
It is found that what perceived as biggest challenges by software startups do vary across different life cycle stages, even though its significance decreases when the learning focuses of the startups move from problem to solution and their products mature.
Xiaofeng Wang, Henry Edison, Sohaib Shahid Bajwa et al.· International Conference on...· 62 citations· ⚡6
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
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A weeklong summer workshop brought higher education faculty to campus to explore how AI and machine learning materials can be adapted for their classrooms.
