Results 41 to 50 of about 836,133 (267)
Business Strategy and the Environment, Volume 32, Issue 1, Page 369-386, January 2023., 2023 Abstract This study relies on a unique synthesis of ambidexterity theory and the natural resource orchestration approach to investigate how green intellectual capital elements, namely green human, structural, and relational capital, along with ambidextrous green innovation, trigger a synergy in favor of environmental performance.
Kaveh Asiaei +3 more
wiley +1 more source
African Journal of Disability, 2023 Background: Preventing adversity from accelerating among learners with specific learning disabilities (SLD) is imperative. Continuous adversities, such as social-emotional, psychological and academic difficulties, characterise learners with SLD.
Daphney Mawila
doaj +1 more source
A Review of Off-Policy Evaluation in Reinforcement Learning [PDF]
arXiv, 2022 Reinforcement learning (RL) is one of the most vibrant research frontiers in machine learning and has been recently applied to solve a number of challenging problems. In this paper, we primarily focus on off-policy evaluation (OPE), one of the most fundamental topics in RL.
arxiv
Advanced Intelligent Systems, EarlyView.A portable, wearable device based on metabolic heat integrated sensing and deep learning enables continuous blood glucose (BG) monitoring. The system uses a gate recurrent unit model for real‐time BG prediction, achieving accuracy comparable to commercial noninvasive meters.
Haolin Wang +12 more
wiley +1 more source
Business Strategy and the Environment, Volume 32, Issue 1, Page 387-407, January 2023., 2023 Abstract Public sector purchasing processes are gaining increasing prominence as a demand‐side innovation tool for addressing national sustainability challenges. Accordingly, there has been growing research attention to this topic. Prior studies suggest three key rationales that underlie the use of public sector procurement to drive innovation: (i) the
Peter Adjei‐Bamfo +4 more
wiley +1 more source
OpinionMine: A Bayesian-based framework for opinion mining using Twitter Data
Machine Learning with Applications, 2021 This article studies opinion mining from social media with probabilistic logic reasoning. As it is known, Twitter is one of the most active social networks, with millions of tweets sent daily, where multiple users express their opinion about traveling ...
Stefanos Zervoudakis +3 more
doaj
Advanced Intelligent Systems, EarlyView.This paper presents a novel Multi‐Distance Spatial‐Temporal Graph Neural Network for detecting anomalies in blockchain transactions. The model combines multi‐distance graph convolutions with adaptive temporal modeling to capture complex patterns in anonymized cryptocurrency networks.
Shiyang Chen +4 more
wiley +1 more source
Detection of Suicidal Ideation on Social Media: Multimodal, Relational, and Behavioral Analysis
Journal of Medical Internet Research, 2020 BackgroundSuicide risk assessment usually involves an interaction between doctors and patients. However, a significant number of people with mental disorders receive no treatment for their condition due to the limited access to mental health care ...
Ramírez-Cifuentes, Diana +7 more
doaj +1 more source
A Self-Attention-Based Imputation Technique for Enhancing Tabular Data Quality
Data, 2023 Recently, data-driven decision-making has attracted great interest; this requires high-quality datasets. However, real-world datasets often feature missing values for unknown or intentional reasons, rendering data-driven decision-making inaccurate.
Do-Hoon Lee, Han-joon Kim
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Australian Journal of Social Issues, EarlyView.ABSTRACT Systems and structures designed to protect and support young people, specifically (in this paper) young women, are ironically the same systems that maintain gender disparity. Consequently, this has influenced the embodied identities of young women who experience and use violence. Such systemic and structural intersectionality has impacted upon
Louise Rak +3 more
wiley +1 more source