Results 191 to 200 of about 7,172,817 (283)

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Adversarial-resilient lightweight phishing url detection: Evaluating lexical & metadata features under evasion techniques. [PDF]

Sci Rep
Chaudhuri A, B M.
europepmc   +1 more source

Position: topological deep learning is the new frontier for relational learning

Topological deep learning (TDL) is a rapidly evolving field that uses topological features to understand and design deep learning models. This paper posits that TDL is the new frontier for relational learning.
Nasrin, F, Ramamurthy, KN, Curry, J, Liò, P, Maroulas, V, Gao, Y, Carlsson, G, Kwitt, R, Wang, Y, Zamzmi, G, Veličković, P, Wang, B, Papamarkou, T, Hajij, M, Schaub, MT, Wei, GW, Scardapane, S, Bronstein, M, Birdal, T, Rieck, B, Miolane, N, Di Lorenzo, P   +21 more
core  

Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel, Xavier Boulanger, Vegard Arneson   +2 more
wiley   +1 more source

A hybrid generative and transformer-based framework for anomaly detection in industrial sensor time-series for predictive maintenance. [PDF]

Sci Rep
Asim N, Matloob I, Khan Z, Rukaiya R, Khan S, Alfraihi H.   +5 more
europepmc   +1 more source

A Hero's Journey to Systemic Change: Developing Expertise in Agricultural Development

Sustainable Development, EarlyView.
ABSTRACT Experts in rural development and agrarian change wield considerable influence over programme design and delivery, directing resources and shaping trajectories towards the Sustainable Development Goals (SDGs). Yet the pathways through which such expertise develops remain under‐examined. This study examines the journey to expertise among experts
Kirt Hainzer, Caitlin Finlayson, Nicholas Harrigan, Andrew McGregor, Katharine McKinnon, Van Touch, Ariane Utomo, Brian R. Cook   +7 more
wiley   +1 more source

Citizen Participation and Transport Sustainability: A Novel Fuzzy ZE‐AHP and Fuzzy ZE‐MABAC Model, Evidence From Dublin, Ireland

Sustainable Development, EarlyView.
ABSTRACT Strategic citizen engagement is fundamental to the socio‐technical transition toward sustainable urban mobility. This study investigates the integration of digital participatory tools within the transport planning framework of Dublin, Ireland, to facilitate inclusive, transparent, and equitable governance.
Sarbast Moslem, Brian Caulfield
wiley   +1 more source

Residual-guided hybrid framework for adversarially robust deep learning-based network intrusion detection. [PDF]

PLoS One
Saha S, Pervaiz MA, Rahman MS, Ahmmed S, Maua J.   +4 more
europepmc   +1 more source

Gaussian Processes with Bayesian Inference of Covariate Couplings

Publisher Copyright: © 2025, Transactions on Machine Learning Research. All rights reserved.Gaussian processes are powerful probabilistic models that are often coupled with Automatic Relevance Determination (ard) capable of uncovering the importance of ...
Rosso, Mattia, Filippone, Maurizio, Ylä-Jääski, Juho, Heinonen, Markus, Shen, Zheyang   +4 more
core