Results 121 to 130 of about 308,379 (321)

Challenges to increasing visibility and support for children in Bangladesh's informal ready‐made garment factories

Business Strategy &Development, Volume 5, Issue 4, Page 361-374, December 2022., 2022
Abstract Worker voice tools can support multinational companies to monitor social compliance within complex multi‐tier apparel supply chains. This study presents findings from an adaptation of a worker voice tool that contacted 11,555 workers in two informal ‘Ready‐made Garment’ (RMG) production hubs in Bangladesh.
Sheila Chanani, Hope Spector, Savitri Restrepo Alvarez, Nasir Chowdhury, Patrick Ma   +4 more
wiley   +1 more source

ARChef: An iOS-Based Augmented Reality Cooking Assistant Powered by Multimodal Gemini LLM [PDF]

arXiv
Cooking meals can be difficult, causing many to resort to cookbooks and online recipes. However, relying on these traditional methods of cooking often results in missing ingredients, nutritional hazards, and unsatisfactory meals. Using Augmented Reality (AR) can address these issues; however, current AR cooking applications have poor user interfaces ...
arxiv  

AInsectID Version 1.1: An Insect Species Identification Software Based on the Transfer Learning of Deep Convolutional Neural Networks

Advanced Intelligent Discovery, EarlyView.
This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley   +1 more source

Linear Optimization for the Perfect Meal: A Data-Driven Approach to Optimising the Perfect Meal Using Gurobi [PDF]

arXiv
This study aims to optimize meal planning for nutritional health and cost efficiency using linear programming. Linear optimization provides an effective framework for addressing the problem of an optimal diet, as the composition of food can be naturally modeled as a linearly additive system.
arxiv  

Deep Learning‐Coupled Metabolic Heat Integrated Sensing System for Noninvasive Continuous Monitoring of Blood Glucose

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, Chuanjie Yao, Zhibo Liu, Xinze Wang, Zhengjie Liu, Tao Zhang, Xinshuo Huang, LinGe Wang, Yuedan Wang, Gemin Xiao, Shady Farah, Hui‐jiuan Chen, Xi Xie   +12 more
wiley   +1 more source

Electrical Tissue Adhesives for Strain‐Insensitive In‐situ Biosensing

Advanced Intelligent Systems, EarlyView.
Interfacing rigid, non‐stretchable biosensors with soft, deformable tissues presents significant challenges due to their fundamentally contradictory properties. This work reports an electrical tissue adhesive featuring an entangled adhesive polymer network interpenetrated with a sacrificial dissipative polymer network that can rapidly and robustly ...
Tsz Hung Wong, Jiabin Liu, Yijie Cheng, Yilin Xie, Camryn Anway, Ruihao Lu, Chuwei Ye, Zhaohan Yu, Yuan Wang, Xinyue Liu, Shaoting Lin   +10 more
wiley   +1 more source

Artificial Intelligence‐Enhanced, Closed‐Loop Wearable Systems Toward Next‐Generation Diabetes Management

Advanced Intelligent Systems, EarlyView.
Recent advancements in wearable healthcare have brought accessible continuous glucose monitoring systems (CGMs) for diabetes management. To address the limitations of CGMs, closed‐loop systems utilizing monitored glucose levels for insulin dosing are being developed.
Wei Huang, Ivo Pang, Jing Bai, Binbin Cui, Xiaojuan Qi, Shiming Zhang   +5 more
wiley   +1 more source

Meal-taking activity monitoring in the elderly based on sensor data: Comparison of unsupervised classification methods [PDF]

18th International Conference on e-Health, IADIS -- International Association for the Development of the Information Society, Jul 2024, BUDAPEST, Hungary
In an era marked by a demographic change towards an older population, there is an urgent need to improve nutritional monitoring in view of the increase in frailty. This research aims to enhance the identification of meal-taking activities by combining K-Means, GMM, and DBSCAN techniques.
arxiv  

“Who's breaking the law … not us, them!”: Inside immigration detention in Portugal

American Journal of Community Psychology, EarlyView.
Abstract In this paper, we examine immigration detention in Portugal, a system whose daily operations and inherent violence are overlooked in both public and academic discourses. Even within community psychology, discussions on immigration detention have largely remained on the fringes of scholarly debates. Guided by a justice‐centered ecological lens,
Francesca Esposito, Federica de Lellis, Federica De Cordova, Erica Briozzo   +3 more
wiley   +1 more source

NutriGen: Personalized Meal Plan Generator Leveraging Large Language Models to Enhance Dietary and Nutritional Adherence [PDF]

arXiv
Maintaining a balanced diet is essential for overall health, yet many individuals struggle with meal planning due to nutritional complexity, time constraints, and lack of dietary knowledge. Personalized food recommendations can help address these challenges by tailoring meal plans to individual preferences, habits, and dietary restrictions.
arxiv