Results 71 to 80 of about 723,870 (293)

Upfront Surgery or Neoadjuvant Chemotherapy for Colorectal Liver Metastases? A Machine-Learning Decision-Tree to Identify the Best Potential Policy [PDF]

, 2022
Simone Famularo, Flavio Milana, Matteo Cimino, Eloisa Franchi, Mauro Giuffrida, Angela Palmisano, Fabio Procopio, Guido Costa, Bruno Branciforte, Laura Viganò, Matteo Donadon, G. Torzilli   +11 more
openalex   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Artificial intelligence algorithms for predicting post-operative ileus after laparoscopic surgery

Heliyon
Objective: By constructing a predictive model using machine learning and deep learning technologies, we aim to understand the risk factors for postoperative intestinal obstruction in laparoscopic colorectal cancer patients, and establish an effective ...
Cheng-Mao Zhou, HuiJuan Li, Qiong Xue, Jian-Jun Yang, Yu Zhu   +4 more
doaj   +1 more source

Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving

, 2019
Tactical decision making for autonomous driving is challenging due to the diversity of environments, the uncertainty in the sensor information, and the complex interaction with other road users.
Driggs-Campbell, Katherine, Hoel, Carl-Johan, Kochenderfer, Mykel J., Laine, Leo, Wolff, Krister   +4 more
core   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

Deepfake Image Classification Using Decision (Binary) Tree Deep Learning

Journal of Sensor and Actuator Networks
The unprecedented rise of deepfake technologies, leveraging sophisticated AI like Generative Adversarial Networks (GANs) and diffusion-based models, presents both opportunities and challenges in terms of digital media authenticity.
Mariam Alrajeh, Aida Al-Samawi
doaj   +1 more source

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

Advanced Functional Materials, EarlyView.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi, Irem Deniz Derman, Deepak Gupta, Logan Haugh, Yogendra Pratap Singh, Vaibhav Pal, Yasar Ozer Yilmaz, Suihong Liu, Andre Luis Dias, Rogerio Andrade Flauzino, Ibrahim Tarik Ozbolat   +10 more
wiley   +1 more source

An investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service [PDF]

, 2017
In this paper, we present machine learning approaches for characterizing and forecasting the short-term demand for on-demand ride-hailing services. We propose the spatio-temporal estimation of the demand that is a function of variable effects related to ...
Cools, Mario, Farooq, Bilal, Saadi, Ismaïl, Teller, Jacques, Wong, Melvin   +4 more
core  

Domain Nucleation and Growth in an Epitaxially Grown Wurtzite Ferroelectric

Advanced Functional Materials, EarlyView.
Ferroelectric domain nucleation and growth in epitaxial wurtzite (Al, B, Sc)N films are visualized through in situ transmission electron microscopy. Domains initiate near the bottom electrode and propagate laterally with zigzag walls, while unswitched regions remain near the electrode interfaces.
Sebastian Calderon, Chloe Skidmore, Jon‐Paul Maria, Elizabeth C. Dickey   +3 more
wiley   +1 more source

Learning Optimal Dynamic Treatment Regime from Observational Clinical Data through Reinforcement Learning

Machine Learning and Knowledge Extraction
In medicine, dynamic treatment regimes (DTRs) have emerged to guide personalized treatment decisions for patients, accounting for their unique characteristics. However, existing methods for determining optimal DTRs face limitations, often due to reliance
Seyum Abebe, Irene Poli, Roger D. Jones, Debora Slanzi   +3 more
doaj   +1 more source