Results 171 to 180 of about 19,743 (267)

ASCA-YOLO: Adaptive Sparse and Context-Aware YOLO Algorithm for Forest Wildfire Detection. [PDF]

Sensors (Basel)
Hao Y, Wang K, Zhang L, Yuan Z.
europepmc   +1 more source

Enhanced Monocular Depth Estimation Using ResNet Backbone and Multiscale Feature Decoding for Precise Object Distance Measurement

Advanced Intelligent Systems, Volume 8, Issue 8, August 2026.
A lightweight monocular perception framework generates high‐fidelity depth maps and integrates YOLOv8 detection to estimate object‐wise distances from a single RGB image. Evaluated on KITTI and the proposed D‐Far250 dataset, the system demonstrates accurate long‐range perception up to 250 m while maintaining real‐time performance, enabling scalable ...
Faseeh Muhammad, Misbah Bibi, Murad Ali Khan, Syed Shehryar Ali Naqvi, Adnan Ejaz Muhammad, Do-Hyeun Kim   +5 more
wiley   +1 more source

Lightweight architecture optimization of YOLOv12n for improved cotton verticillium wilt detection. [PDF]

Front Plant Sci
Ye Z, Yang M, Zhang Z, Hou Z, Zhao X.
europepmc   +1 more source

An IoT‐Enabled Growth Management System With Deep Learning‐Based Monitoring for Volvariella volvacea Mushroom Cultivation in Controlled Environments

Applied Research, Volume 5, Issue 4, August 2026.
An IoT‐enabled environmental control system integrated with a YOLOv8 deep learning model enables automated cultivation and real‐time growth‐stage monitoring of Volvariella volvacea. The proposed system improves environmental stability, achieves 93.12% growth‐stage classification accuracy, and enhances cultivation reliability, productivity, and ...
Husna Hamza, Julie Roslita Rusli, Aiman Hambali Bin Amran, Muhammad Safwan bin Saad, Izanoordina Ahmad, Rohaida Hussain, Noor Amalina Ramli, Ida Bagus Irawan Purnama, dan I Nyoman Kusuma Wardana   +8 more
wiley   +1 more source

DMN-YOLO: A Lightweight Small-Object Detector for Multi-Species Animal Detection in UAV Grassland Imagery. [PDF]

Animals (Basel)
Huang Q, Yang J, Yang M, Jiang D, Wang T.   +4 more
europepmc   +1 more source

A Sliding Time‐Window Energy Ratio Method for Weak Signal Enhancement of Deep Subgrade Voids in GPR Data

Applied Research, Volume 5, Issue 4, August 2026.
A sliding time‐window energy ratio method is proposed to enhance weak GPR reflections from deep pavement voids. By combining target‐window localization with same‐window normalization, STWER suppresses non‐target interference and improves defect localization, as demonstrated by numerical simulations and field cases verified by excavation and core ...
Zhengnan Liu, Wanli Chao, Qishun Wang, Yuan Liu, Xiang Qiu   +4 more
wiley   +1 more source

CFPR-YOLO: chili flower pose estimation for robotic pollination in unstructured environments. [PDF]

Front Plant Sci
Kuang M, Wang Y, Li X, Liu D, Xiang Y, Liu F, Zou X, Xie F, Zhang Y, Li X.   +9 more
europepmc   +1 more source

Automated Differentiation of Oral Red‐White Lesions: An Interpretable Deep Learning Approach Combining Ensemble Architectures and Saliency Maps

Clinical and Experimental Dental Research, Volume 12, Issue 4, August 2026.
ABSTRACT Introduction Oral Potentially Malignant Disorders (OPMDs), including Leukoplakia and Erythroplakia, carry significant risks of malignant transformation. Early differentiation from confounding inflammatory conditions like Oral Lichen Planus (OLP) and Candidiasis is critical yet challenging due to visual similarities.
Mahsa Koochaki, Amirreza Mousavie, Maryam Basirat, Amirreza Hendi, Hossein Sadr, Mojdeh Nazari   +5 more
wiley   +1 more source

YOLIP: An Enhanced Framework for UAV-Assisted Wildlife Monitoring Based on YOLO Integrated with the CLIP Model. [PDF]

Sensors (Basel)
Hu R, Chen Y, Xu K, Zhang L, Yue C, Pi H, Chen X, Lin X.   +7 more
europepmc   +1 more source

Diversity Under Pressure: Long‐Term Genetic Decline in California's Central Valley Chinook Salmon ESA Listed Runs

Ecology and Evolution, Volume 16, Issue 8, August 2026.
Chinook salmon in the Central Valley of California have notable intraspecific diversity because it is the only place where four distinct migration timings (Winter, Spring, Fall, Late‐fall) co‐occur. The Winter run is listed as Endangered and the Spring run is listed as Threatened under the Endangered Species Act. To quantify temporal changes in genetic
E. E. Collins, T. Q. Thompson, P. Goertler, M. R. Baerwald, M. H. Meek   +4 more
wiley   +1 more source