25 papers · ranked by Valyu relevance
Bestoun S. Ahmed
—The rapidly changing landscapes of modern optimization problems require algorithms that can be adapted in real-time. This paper introduces an Adaptive Metaheuristic Framework (AMF) designed for dynamic environments. It is capable of intelligently adapting to changes in the problem parameters. The AMF combines a…
Claire Gillum, Kara Tureski, Joseph Msofe
The SBC Adaptive Management Framework, tested under the USAID Tulonge Afya project in Tanzania, offers a systematic, evidence-informed, and participatory approach to strengthen program design and implementation and enhance outcomes.
Daniel Gaspar-Figueiredo
The continuous adaptation of software systems to meet the evolving needs of users is very important for enhancing user experience (UX). User interface (UI) adaptation, which involves adjusting the layout, navigation, and content presentation based on user preferences and contextual conditions, plays an important role…
Tina L. Y. Wu, Anna Murphy, Chao Chen, Dana Kulić
People with Parkinson's (PwP) experience gait impairments that can be improved through cue training, where visual, auditory, or haptic cues are provided to guide the walker's cadence or step length. There are two types of cueing strategies: open and closed-loop. Closed-loop cueing may be more effective in addressing…
Authors not listed
This conceptual paper introduces the Adaptive Multi-Resolution Modeling Framework (AMRMF), a novel technique designed to revolutionize chemical engineering by integrating multi-scale simulations, quantum-inspired algorithms, advanced uncertainty quantification, and Bayesian inference. The framework bridges theoretical…
Oliver Ott, Lennart Ralfs, Robert Weidner
The fifth industrial revolution and the accompanying influences of digitalization are presenting enterprises with significant challenges. Regardless of the trend, however, humans will remain a central resource in future factories and will continue to be required to perform manual tasks. Against the backdrop of, e.g.…
M. Alexis Kirk, Julia E. Moore, Shannon Wiltsey Stirman, Sarah A. Birken
'Sarah A. Birken'] Background Implementation science is shifting from qualifying adaptations as good or bad towards understanding adaptations and their impact. Existing adaptation classification frameworks are largely descriptive (e.g., who made the adaptation) and geared towards researchers. They do not help…
Kavan Sedighiani, Saeed Shokrollahi, Fereidoon Shams
Due to the continuously changing environment of service-based applications (SBAs), the ability to adapt to environmental and contextual changes has become a crucial characteristic of such applications. Providing SBAs with this ability is a complex task, usually carried out in an unsystematic way and interwoven with…
Zhicheng Wang, Susan L. Norris, Lisa Bero
Background The implementation of evidence-based guidelines can improve clinical and public health outcomes by helping health professionals practice in the most effective manner, as well as assisting policy-makers in designing optimal programs. Adaptation of a guideline to suit the context in which it is intended to be…
Hua-Dong Xiong, Li Ji-An, Robert C. Wilson, Marcelo G. Mattar
A hallmark of intelligence is the ability to adapt behavior to changing environments, which requires adapting one’s own learning strategies. This phenomenon is known as learning to learn in cognitive science and meta-learning in artificial intelligence. While this phenomenon is well-established in humans and animals…
Authors not listed
Designing molecules with specific target properties remains a fundamental challenge in computational chemistry. While existing approaches show promise, most rely on simplified representations like SMILES strings or 2D graphs that lack essential three-dimensional geometric information. We present EvoDiffMol, a…
Maneeshika M. Madduri, Momona Yamagami, Si Jia Li, Sasha Burckhardt + 2 more
Neural interfaces can restore or augment human sensorimotor capabilities by converting high-bandwidth biological signals into control signals for an external device via a decoder algorithm. Leveraging user and decoder adaptation to create co-adaptive interfaces presents opportunities to improve usability and…
Hua-Dong Xiong, Li Ji-An, Robert C. Wilson, Marcelo G. Mattar
A hallmark of intelligence is the ability to adapt behavior to changing environments, which requires adapting one’s own learning strategies. This phenomenon is known as learning to learn or meta-learning. Although well established in humans and animals, a computational framework that characterizes how biological agents…
Mohammed Abufouda
Self-adaptivity allows software systems to autonomously adjust their behavior during run-time to reduce the cost complexities caused by manual maintenance. In this paper, an approach for building an external adaptation engine for self-adaptive software systems is proposed. In order to improve the quality of…
Tarik A. Rashid, Bryar A. Hassan, Abeer Alsadoon, Shko Qader + 3 more
'S. Vimal' 'Amit Chhabra' 'Zaher Mundher Yaseen\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c\u202c'] 1 Computer Science and Engineering Department, School of Science and Engineering, University of Kurdistan Hewler, Erbil, Kurdistan Region, Iraq 2 Department of Information…
Ana Petrovska, Guan Erjiage, Stefan Kugele
—In the last two decades, the popularity of selfadaptive systems in the field of software and systems engineering has drastically increased. However, despite the extensive work on self-adaptive systems, the literature still lacks a common agreement on the definition of these systems. To this day, the notion of…
Heather Z. Mui, Cati G. Brown‐Johnson, Erika A. Saliba‐Gustafsson, Anna Sophia Lessios + 3 more
5## CONCLUSION The A-FRAME analytic approach proposed in this paper may provide a useful framework for those conducting QI, evaluation, or research projects who wish to assess how adaptations in their projects may be interpreted in understanding project progress and outcomes. This analytic process enabled us to…
Miranda Ramírez-Cruz, Luis Enrique Sucar, Eduardo F. Morales, Jesús Joel Rivas
Static rehabilitation protocols often struggle to keep pace with the dynamic, non-linear reality of human motor recovery. Traditional therapy models frequently assume stationarity, relying on fixed performance schemes that fail to capture the highly individualized nature of human recovery and skill acquisition. This…
Gaurav Sharma, Bernard Marius ’t Hart, Jean-Jacques Orban de Xivry, Denise Y.P. Henriques + 1 more
Visuomotor adaptation studies have revealed a range of behaviors, including nonlinear saturation effects, instruction-dependent differences in performance, and distinct explicit and implicit components of adaptation. However, existing computational models have struggled to account for the full breadth of these…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Finlay Clark, Graeme Robb, Daniel Cole, Julien Michel
Alchemical absolute binding free energy (ABFE) calculations have substantial potential in drug discovery, but are often prohibitively computationally expensive. To unlock their potential, efficient automated ABFE workflows are required to reduce both computational cost and human intervention. We present a…
Li Ji-An, Marcus K. Benna, Marcelo G. Mattar
Normative modeling frameworks such as Bayesian inference and reinforcement learning provide valuable insights into the fundamental principles governing adaptive behavior. While these frameworks are valued for their simplicity and interpretability, their reliance on few parameters often limits their ability to capture…
Chengyuan Wu, Carol A. Seger, Canhuang Luo, Ying Zhou + 2 more
In dynamic environments, flexible cognitive control adaptively adjusts processing through proactive mechanisms deployed in advance and reactive mechanisms engaged upon conflict. Previous studies have primarily focused on identifying neural networks supporting specific control components, while less is known about how…
Yousef Abuseta, Khaled Swesi
Self adaptation has been proposed to overcome the complexity of today's software systems which results from the uncertainty issue. Aspects of uncertainty include changing systems goals, changing resource availability and dynamic operating conditions. Feedback control loops have been recognized as vital elements for…
Authors not listed
Artificial intelligence (AI) is reshaping chemical engineering. Still, its role in safety-critical operations is limited because we rarely see tools that link physical models with data-driven methods. This study brings together three elements: physics-constrained neural networks, uncertainty quantification, and a…