Convergence of nanotechnology and artificial intelligence in the fight against liver cancer: a comprehensive review by Manjusha Bhange, Darshan Telange

“…We highlight how AI-powered algorithms can optimize nanocarrier design, facilitate real-time monitoring of treatment efficacy, and enhance clinical decision-making. …”
Get full text

Evaluation of the ecological niche model approach in spatial conservation prioritization. by Fumiko Ishihama, Akio Takenaka, Hiroyuki Yokomizo, Taku Kadoya

“…We evaluated three ENM algorithms (GLM, GAM, and random forests). We used virtual community data generated by simulation for the evaluation. …”
Get full text

Dynamics of Platform Architecture and Labor Unrest: Mobilizing and Contesting Solidarity in the 2021–2022 Foodpanda Delivery Rider Strikes in Hong Kong by Ngai Keung Chan

“…Worker solidarity, however, was contested due to internal conflicts among riders and the fear of police. Algorithmic control also serves as a repressive tool to demobilize workers. …”
Get full text

Doing What Is Right: Role of Social Media Users in Resilience to Disinformation by Karolína Bieliková, Alena Pospíšil Macková, Martina Novotná

“…The study highlights the need for social media platforms to support users in corrective actions and address algorithmic issues that may impede these efforts.…”
Get full text

Dimension Reduction Using Quantum Wavelet Transform on a High-Performance Reconfigurable Computer by Naveed Mahmud, Esam El-Araby

“…The quantum wavelet transform takes advantage of the principles of quantum mechanics to achieve reductions in computation time while processing exponentially larger amount of information. …”
Get full text

Stroke Risk Classification Using the Ensemble Learning Method of XGBoost and Random Forest by Gullam Almuzadid, Egia Rosi Subhiyakto

“…This study proposes a stroke risk classification model using ensemble learning that combines Random Forest and XGBoost algorithms. A Kaggle dataset with 5110 samples (249 stroke, 4861 non-stroke) presented significant class imbalance. …”
Get full text

Effects of using wearable devices to monitoring physical activity in pulmonary rehabilitation programs for chronic respiratory diseases: A systematic review protocol. by Thaianne Rangel Agra Oliveira, Ana Tereza do Nascimento Sales Figueiredo Fernandes, Thayla Amorim Santino, Fernanda Elizabeth Pereira da Silva Menescal, Patrícia Angélica de Miranda Silva Nogueira

“…Studies that discuss only the development of algorithms or applications for the assessment of diseases or unavailable full texts will be excluded. …”
Get full text

Exploration and Construction of Personalized Customization Mode in Modern Fashion Design by Sun Huaiqun

“…The article focuses on constructing a personalized customization implementation path based on big data analysis, artificial intelligence algorithms, and online interaction platforms, covering key links such as demand analysis, virtual fitting, and on-demand production. …”
Get full text

Metrics and Science Monograph Collections at the Marston Science Library, University of Florida. by Michelle F. Leonard, Stephanie C. Haas, Vernon N. Kisling

“… As academic libraries are increasingly supported by a matrix of database functions, the use of data mining and visualization techniques offer significant potential for future collection development and service initiatives based on quantifiable data. While data collection techniques are still not standardized and results may be skewed because of granularity problems, faulty algorithms, and a host of other factors, useful baseline data is extractable and broad trends can be identified. …”
Get full text

AI language and emotional support as a physician assistant in hypertension management: an N-of-1 case study on virtual encouragement and blood pressure control by Abdullah Al Fraidan

“…The results underscore the need for future AI development to integrate advanced contextual learning algorithms and multimodal adaptive capabilities to enhance real-time personalization and responsiveness in chronic disease management. …”
Get full text

An enhanced image protection framework: polynomial-based secret sharing meets information hiding by Xiaopeng Li, Zhengxin Fu, Yuan Gao, Bin Yu

“…Secret image sharing has emerged as a prominent research topic in recent years, aiming to transfer meaningful shares while ensuring that covert communication activities remain hidden from potential attackers' monitoring and analysis. …”
Get full text

Racial bias in AI-mediated psychiatric diagnosis and treatment: a qualitative comparison of four large language models by Ayoub Bouguettaya, Elizabeth M. Stuart, Elias Aboujaoude

“…NewMes-15 exhibited the highest degree of racial bias, while Gemini showed the least. These findings underscore critical concerns about the potential for AI to perpetuate racial disparities in mental healthcare, emphasizing the necessity of rigorous bias assessment in algorithmic medical decision support systems.…”
Get full text

Shape optimization using a level set based mesh evolution method: an overview and tutorial by Dapogny, Charles, Feppon, Florian

“…This article revolves around a recent numerical framework for shape and topology optimization, which features an exact mesh of the shape at each iteration of the process, while still leaving the room for an arbitrary evolution of the latter (including changes in its topology). …”
Get full text

Wineinformatics: Wine Score Prediction with Wine Price and Reviews by Yuka Nagayoshi, Bernard Chen

“…These results indicate that incorporating price as an attribute enhances machine learning algorithms’ ability to recognize the correlation between wine reviews and scores.…”
Get full text

Cooperative Graph-Based Predictive Collision Avoidance (CGPCA): A Decentralized Framework for Safe Drone Traffic Management by Fariborz Rasoulie

“…Cooperative Graph-based Predictive Collision Avoidance (CGPCA) is a novel, decentralized approach designed to manage and control drone traffic while preventing collisions with both other drones and surrounding obstacles. …”
Get full text

Digital Watermarking Technology for AI-Generated Images: A Survey by Huixin Luo, Li Li, Juncheng Li

“…The rapid advancement of AI-generated content (AIGC) has significantly improved the realism and accessibility of synthetic images. While large image generation models offer immense potential in creative industries, they also introduce serious challenges, including copyright infringement, content authentication, and the traceability of generated images. …”
Get full text

A Novel Active RFID and TinyML based system for livestock Localization in Pakistan by Syed Atir Raza Shirazi, Maham Fatima, Abdul Wahab, Sadaf Ali

“…The incorporation of Active RFID technology allows for precise and long-range livestock tracking, while TinyML provides on-device analysis and decision-making. …”
Get full text

Assessment of the Magnetic Hysteretic Behaviour of MR Dampers through Sensorless Measurements by Janusz Gołdasz, Bogdan Sapinski, Łukasz Jastrzębski

“…The procedure allows to analyze the magnetic hysteresis independently of other sources of hysteresis in MR dampers; on this basis, more effective damper models and control algorithms can be developed in the future.…”
Get full text

Advancing breast cancer prediction: Comparative analysis of ML models and deep learning-based multi-model ensembles on original and synthetic datasets. by Kazi Arman Ahmed, Israt Humaira, Ashiqur Rahman Khan, Md Shamim Hasan, Mukitul Islam, Anik Roy, Mehrab Karim, Mezbah Uddin, Ashique Mohammad, Md Doulotuzzaman Xames

“…This study employs various machine learning (ML) algorithms, including KNN, SVM, ANN, RF, XGBoost, ensemble models, AutoML, and deep learning (DL) techniques, to enhance breast cancer diagnosis. …”
Get full text

Artificial Intelligence Applied on Traffic Planning and Management for Rail Transport: A Review and Perspective by Jiamin Zhang, Jiarui Zhang

“…Artificial intelligence (AI) has received much attention in the domain of railway traffic planning and management (TPM) from academia and industries. While many promising applications have been reported, there remains a lack of detailed review of the many AI models/algorithms and their uses and adaptations in rail TPM. …”
Get full text