Results 131 to 140 of about 4,915,608 (331)

Transforming Brain Health With Neurotechnology Convergence (Part II): Intelligent Neurointervention Systems for Neurological Disorders

Brain Health, EarlyView.
ABSTRACT Neurological disorders represent a critical domain within global health, necessitating advanced interventions to address complex pathologies such as tumors, functional disorders, and cerebrovascular diseases. Despite the proven benefits of early intervention, current treatment paradigms face significant challenges: (1) limited precision in ...
Qing Ye, Fei Peng, Chao Pan, Ping Zhang, Xuewei Xie, Zixiao Li, Yingxin Tang, Danyang Chen, Yuanwei Li, Jiawen Wu, Zao Han, Qing Dai, Quansheng Gu, Jizong Zhao, Zhouping Tang   +14 more
wiley   +1 more source

Operations Research‐Based Formalisation and Design of Sustainable Reverse Logistics for E‐Waste Supply Chains

Business Strategy and the Environment, EarlyView.
ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley   +1 more source

Towards a Socially Inclusive Circular Economy: Evidence From Social Enterprises in Low‐ and Middle‐Income Countries

Business Strategy and the Environment, EarlyView.
ABSTRACT Circular economy (CE) and social entrepreneurship (SE) are increasingly recognised as critical pathways for sustainable development, yet CE research often underplays social inclusion, particularly in low‐ and middle‐income countries (LMICs).
Maria L. Granados, Adeyemi Adelekan
wiley   +1 more source

The Usage of Artificial Intelligence Technology in Music Education System Under Deep Learning

IEEE Access
This work addresses the needs of the music generation field by developing a music generation system based on an advanced Transformer model. The system incorporates an adaptive music feature encoder and a music emotion-driven multi-task learning framework.
Yinchi Chen, Yan Sun
doaj   +1 more source

Deep Learning Techniques for Music Generation -- A Survey

, 2019
This paper is a survey and an analysis of different ways of using deep learning (deep artificial neural networks) to generate musical content. We propose a methodology based on five dimensions for our analysis: Objective - What musical content is to be
Briot, Jean-Pierre, Hadjeres, Gaëtan, Pachet, François-David   +2 more
core  

Crafting Creative Melodies: A User-Centric Approach for Symbolic Music Generation

Electronics
Composing coherent and structured music is one of the main challenges in symbolic music generation. Our research aims to propose a user-centric framework design that promotes a collaborative environment between users and knowledge agents.
S. Dadman, B. Bremdal
semanticscholar   +1 more source

Quantification of Palmar and Digital Epidermal Thickness and Sweat Duct Density

Clinical Anatomy, EarlyView.
ABSTRACT Palmar digital skin, with its high density of epidermal sweat glands and unique stratum corneum, derives its autonomic innervation from peripheral nerves. Understanding the changes to these structures could serve as objective proxy markers following peripheral nerve injury and interventions to promote regeneration.
Elizabeth Jones, Hanaa N. Mughal, Roxana Moscalu, Malachy Columb, Christopher Duff, Mark Dickinson, Adam J. Reid, Ralph N. A. Murphy   +7 more
wiley   +1 more source

Generating Music, AI and Energy

Musicology Today
This article explores the intersection of artificial intelligence and music, focusing on the conceptual foundations of AI in music generation. It underscores the technological advancements and limitations of AI in capturing the nu-anced elements of ...
Strzelecki Marcin
doaj   +1 more source

Why Are Consumers Ambivalent About AI‐Generated Images? The Moderating Role of Commercial Versus Noncommercial Content Type

Journal of Consumer Behaviour, EarlyView.
ABSTRACT Grounded in ambivalence theories, this research examined factors shaping consumer ambivalence toward AI‐generated content and investigated differences between commercial and noncommercial contexts. As a preliminary study, sentiment analysis of Reddit data using a support vector machine (SVM) revealed that most consumer sentiment toward AI ...
Garim Lee, Jinsu Park, Hye‐Young Kim, Divya Manoj   +3 more
wiley   +1 more source

Measuring Consumer Aversion Toward AI in Marketing Communication and Assessing Its Relationship to Brand Perceptions and Purchase Intention

Journal of Consumer Behaviour, EarlyView.
ABSTRACT Some consumers exhibit aversion toward artificial intelligence (AI), particularly when it is embedded in persuasive marketing communication (MarCom). Here, we developed and validated a measure of consumer aversion to AI in MarCom and examined its downstream consequences for brand perceptions and purchase intention.
Louvins Pierre, Viviana Carolina Zambrano Rodriguez, Jiayi (Joy) Wang   +2 more
wiley   +1 more source