Results 101 to 110 of about 8,823 (191)

Attention-enhanced YOLOv8n-CLS for lightweight and efficient tomato leaf disease classification. [PDF]

Front Plant Sci
Lilhore UK, Rexy J, Padmanandam K, D B, A R, Subramanian A, Abdallah HA, Abdelhamid AA, Ghith ES, Smerat A, Raahemifar K, Simaiya S.   +11 more
europepmc   +1 more source

Performance evaluation of deep learning based YOLOv5 and YOLOv8 models for real time breast cancer detection in mammographic images. [PDF]

Discov Oncol
Sahoo N, Kar A, Khemchandani V.
europepmc   +1 more source

NL-YOLOv5: a model with a larger receptive field and the ability to globally acquire features. [PDF]

Front Neurorobot
Li Z, Liu J, Zhuo Z, Chen L, Zeng X, Li D, Zhou Y, Huang C.   +7 more
europepmc   +1 more source

AI-Based Automated Segmentation of the Mandibular Cortex and Mental Foramen for Radiomorphometric Measurement on Panoramic Radiographs: A Feasibility Study. [PDF]

Diagnostics (Basel)
Görür SA, Önder M, Çelik Ö, Bayrakdar İŞ, de Castro Lopes SLP, Costa ALF, Orhan K.   +6 more
europepmc   +1 more source

Investigation of adaptive interception systems for concentrate in spiral concentrators. [PDF]

Sci Rep
Liu H, Deng F, Zou Q, Long Y, Liu X, Zhang R, Ning J.   +6 more
europepmc   +1 more source

Drone detection with YOLOv5 [PDF]

Proceedings of the 11th International Defence and Homeland Security Simulation Worskhop (DHSS 2021), 2021
openaire   +1 more source

Confidence Thresholds: Towards an Automated Workflow for Unmarked Wildlife Population Modelling With Camera Trap Data. [PDF]

Ecol Evol
Anschau M, Denman S, Hocking G, Hamilton G.   +3 more
europepmc   +1 more source

Design and development of an SDR-based system for real-time detection and characterization of drone RF signatures. [PDF]

Sci Rep
Saber M, Aloui R, Delleji T, Hamdi B, Mhatli S, Slimeni F, LLamas-Garro I, Siala A.   +7 more
europepmc   +1 more source

Unified frequency and graph learning framework for accurate and robust copy-move image forgery detection. [PDF]

J Forensic Sci
Kizhakke Veetil S, Selvarajan D.
europepmc   +1 more source

Early Classification of Bladder Cancer Using Spectrum-Aided Visual Enhancer (SAVE) and Deep Learning Models: A Non-Invasive Technology for Faster Detection. [PDF]

Cancers (Basel)
Yang MH, Nagisetti Y, Mukundan A, Karmakar R, Chang CF, Syna S, Ni YJ, Wang HC.   +7 more
europepmc   +1 more source