Results 91 to 100 of about 2,576 (162)

Deep vision in agriculture: assessing the function of YOLO in the classification of plant leaf diseases (PLDs). [PDF]

BioData Min
Gupta C, Gill NS, Gulia P, Duhan S, Alduaiji N, Shukla PK, Dwivedi A.   +6 more
europepmc   +1 more source

Automated identification of sedimentary structures in core images using object detection algorithms. [PDF]

PLoS One
Abdlmutalib AJ, Ayranci K, Waheed UB, Alhajri HD, MacEachern JA, Al-Khabbaz MN.   +5 more
europepmc   +1 more source

Traffic classification in SDN-based IoT network using two-level fused network with self-adaptive manta ray foraging. [PDF]

Sci Rep
Aleisa MA.
europepmc   +1 more source

Cervical cancer prediction using deformable kernel darknet-53 and depth wise separable convolutional neural networks. [PDF]

Sci Rep
Ameta GK, Ramkumar MS, Jenifa G, Sivaramkrishnan M, Thangavelsamy N, Ghouse M, Khan TMY, Khan MA, Dessalegn AA.   +8 more
europepmc   +1 more source

Small Object Detection in Agriculture: A Case Study on Durian Orchards Using EN-YOLO and Thermal Fusion. [PDF]

Plants (Basel)
Tang R, Jun T, Chu Q, Sun W, Sun Y.
europepmc   +1 more source

A YOLO Ensemble Framework for Detection of Barrett's Esophagus Lesions in Endoscopic Images. [PDF]

Diagnostics (Basel)
Lin WC, Wang CC, Tsai MC, Huang CY, Lin CC, Tseng MH.   +5 more
europepmc   +1 more source

Child Sexual Abuse Material Users on the Darknet: Psychiatric Morbidities Related to Offence Behavior. [PDF]

Sex Abuse
Lätth J, Joleby M, McMahan A, Luke TJ, Rahm C.   +4 more
europepmc   +1 more source

Advanced AI-Powered System for Comprehensive Thyroid Cancer Detection and Malignancy Risk Assessment. [PDF]

Life (Basel)
Lorenzovici N, Silaghi H, Dulf EH, Braicu C, Silaghi CA.   +4 more
europepmc   +1 more source

Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach. [PDF]

Sci Rep
Raju ASN, Venkatesh K, Gatla RK, Konakalla EP, Eid MM, Titova N, Ghoneim SSM, Ghaly RNR.   +7 more
europepmc   +1 more source

Using deep learning artificial intelligence for sex identification and taxonomy of sand fly species. [PDF]

PLoS One
Fraiwan M, Mukbel R, Kanaan D.
europepmc   +1 more source