Results 141 to 150 of about 5,574 (249)

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

Lacking data? No worries! How synthetic images can alleviate image scarcity in wildlife surveys: A case study with muskox (Ovibos moschatus)

Remote Sensing in Ecology and Conservation, EarlyView.
This study investigates the integration of synthetic imagery, created with diffusion‐based models, to supplement limited training data and improve muskox (Ovibos moschatus) detection in zero‐shot (ZS) and few‐shot (FS) settings. ZS models detected more than 80% of muskoxen in real images, confirming the potential of synthetic data as a substitute for ...
Simon Durand, Samuel Foucher, Alexandre Delplanque, Joëlle Taillon, Jérôme Théau   +4 more
wiley   +1 more source

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 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

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

SmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo, Rodrigo S. Jamisola Jr., Molaletsa Namoshe   +2 more
wiley   +1 more source

Universal and transferable attacks on pathology foundation models using microscopic perturbations. [PDF]

Light Sci Appl
Wang Y, Yang X, Shen CY, Dong S, Pillar N, Ozcan A.   +5 more
europepmc   +1 more source

Physical Unclonable Function Based on 3D‐NAND Flash Array Structure With Multi‐Chip Implementation

Small, EarlyView.
Physical unclonable function (PUF) based on a 3D‐NAND flash array is proposed, featuring a multi‐chip structure and a massive challenge–response pair (CRP) capacity. The presented utilizes intrinsic string current variations experimentally verified across eight fabricated 48 × 24 NAND flash arrays.
Hwiho Hwang, Sangwook Youn, Jinwoo Park, Dayeon Yu, Hyungjin Kim   +4 more
wiley   +1 more source

Generative AI—the Transgression of Technology

Systems Research and Behavioral Science, EarlyView.
ABSTRACT This article offers a systems‐theoretical analysis of generative artificial intelligence (GenAI) grounded in Niklas Luhmann's sociology of technology. It addresses a central conceptual problem: How GenAI can be understood within a theoretical framework that has traditionally defined technology as a means of stabilising action through causal ...
Jesper Tække
wiley   +1 more source

Evaluating gait system vulnerabilities through PPO and GAN-generated adversarial attacks. [PDF]

Sci Rep
Saoudi EM, Jaafari J, Jai Andaloussi S.
europepmc   +1 more source