Results 121 to 130 of about 54,995 (246)

Neural network recognition system for video transmitted through a binary symmetric channel

Компьютерная оптика
The demand for transmitting video data is increasing annually, necessitating the use of high-quality equipment for reception and processing. The paper presents a neural network recognition system for videos transmitted via a binary symmetrical channel ...
V.A. Baboshina, A.R. Orazaev, P.A. Lyakhov, E.E. Boyarskaya   +3 more
doaj   +1 more source

DEAL-YOLO: Drone-based Efficient Animal Localization using YOLO

Accepted as a Poster at the ML4RS Workshop at ICLR ...
Naidu, Aditya Prashant, Gosalia, Hem, Gakhar, Ishaan, Rathore, Shaurya Singh, Didwania, Krish, Verma, Ujjwal   +5 more
openaire   +2 more sources

OralSegNet: An Approach to Early Detection of Oral Disease Using Transfer Learning

Oral Diseases, EarlyView.
ABSTRACT Objective Deep learning‐based segmentation system is proposed that exploits three variants of YOLOv11 architecture, namely YOLOv11n‐seg, YOLOv11s‐seg, and YOLOv11m‐seg for automated detection and localization of the oral disease conditions from photographic intraoral images.
Pranta Barua, Md Rakibul Islam, Mahmud Uz Zaman, Adel Alenazi, Fawaz Alqahtani, Huda Abutayyem, Maher Al Shayeb, Ruba Odeh, Nesrine A. Elsahn, Mohammad Khursheed Alam   +9 more
wiley   +1 more source

An Intelligent System for Light and Air Conditioner Control Using YOLOv8

Journal of Innovation Information Technology and Application
High energy consumption in classrooms is a significant concern, often resulting from inefficient lighting and air conditioning systems. Specifically, the problem lies in the lack of automated control mechanisms that adjust energy use based on real-time ...
Ikharochman Tri Utomo, Muhammad Nauval Firdaus, Sisdarmanto Adinandra, Suatmi Murnani   +3 more
doaj   +1 more source

YOLO-Former: YOLO Shakes Hand With ViT

The proposed YOLO-Former method seamlessly integrates the ideas of transformer and YOLOv4 to create a highly accurate and efficient object detection system. The method leverages the fast inference speed of YOLOv4 and incorporates the advantages of the transformer architecture through the integration of convolutional attention and transformer modules ...
Khoramdel, Javad, Moori, Ahmad, Borhani, Yasamin, Ghanbarzadeh, Armin, Najafi, Esmaeil   +4 more
openaire   +1 more source

Assessment of Apple Blotch (Diplocarpon coronariae) Symptom Progression on Malus × domestica Leaves

Plant Breeding, EarlyView.
ABSTRACT Apple blotch is a fungal disease of increasing importance in European apple cultivation. Infection by Diplocarpon coronariae leads to premature leaf abscission in summer, weakening tree vigour and exacerbating harvest losses. Developing resistant cultivars represents a promising preventive strategy.
Sophie Richter, Monika Höfer, Henryk Flachowsky, Anne Bohr, Sascha Buchleither, Thomas Wöhner   +5 more
wiley   +1 more source

FieldDino: Rapid In‐Field Stomatal Anatomy and Physiology Phenotyping

Plant, Cell &Environment, EarlyView.
ABSTRACT Stomatal anatomy and physiology define CO2 availability for photosynthesis and regulate plant water use. Despite being key drivers of yield and dynamic responsiveness to abiotic stresses, conventional measurement techniques of stomatal traits are laborious and slow, limiting adoption in plant breeding.
Edward Chaplin, Guy Coleman, Andrew Merchant, William Salter   +3 more
wiley   +1 more source

Visual Moral Inference and Communication

Topics in Cognitive Science, EarlyView.
Abstract Humans can make moral inferences from multiple sources of input. In contrast, computational moral inference in artificial intelligence typically relies on language models with textual input. However, morality is conveyed through modalities beyond language.
Warren Zhu, Aida Ramezani, Yang Xu
wiley   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

Prioritized Real‐Time UAV‐Based Vessel Detection for Efficient Maritime Search

Journal of Field Robotics, Volume 43, Issue 2, Page 561-577, March 2026.
ABSTRACT Real‐time vessel detection in maritime environments is crucial for diverse applications requiring speed and accuracy. Static camera views often introduce blind spots, compromising detection efficiency. This paper proposes a novel, real‐time UAV‐based system that uses a dynamic camera control strategy to address this limitation.
Lyes Saad Saoud, Zikai Jia, Siyuan Yang, Muhayy Ud Din, Lakmal Seneviratne, Shaoming He, Irfan Hussain   +6 more
wiley   +1 more source