Results 11 to 20 of about 13,805 (234)

Detection and Classification of Peri-Implant Marginal Bone Loss in Cone-Beam Computed Tomography Using a Deep Learning Approach. [PDF]

Clin Exp Dent Res
ABSTRACT Objectives Modern dental implants have high long‐term survival, but peri‐implant marginal bone loss remains a multifactorial cause of implant failure and often is radiographically occult. Cone‐beam computed tomography (CBCT) provides superior 3D assessment but produces large datasets requiring expert interpretation.
Madani Z, Fakhar HB.
europepmc   +2 more sources

Underwater small objects detection based on self-attention and improved pyramid network

Shenzhen Daxue xuebao. Ligong ban
Addressing the challenges of limited feature information and decreased detection accuracy in underwater small object detection tasks due to underwater environmental effects, we propose an underwater small object detection algorithm SF-Bi-YOLOv8 based on ...
DU Ruishan, WANG Zishan, MENG Lingdong, JING Yuanguang   +3 more
doaj   +1 more source

DETEKSI PENGGUNAAN HELM SAFETY PADA PEKERJA MENGGUNAKAN ALGORITMA YOU ONLY LOOK ONCE VERSI 8 (YOLOV8) [PDF]

An increase in workplace accidents by 5% in Indonesia in 2021 underscores the urgency of implementing a strong Occupational Safety and Health (OSH) culture, including the use of Personal Protective Equipment (PPE) such as construction helmets.
Reni Rahmadewi, Rizwaldi Muhamad Iman, Srimuryati   +2 more
core   +2 more sources

Application of YOLOv8 Algorithm for Coral Reef Disease Detection as an Effort to Prevent Marine Habitat Damage in Batam

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Research in 2019 in Batam City showed that out of 19 coral reef fisheries support facilities, 16 were declared not good. Coral reef damage increased from 36.28% to 39.44%.
Rifa'atul Mahmudah Burhan, Refli Noviardi, M Abrar Masril, Firmansyah   +3 more
doaj   +1 more source

A Hybrid Framework Based on YOLOv8 and Vision Transformer for Multi-Class Detection and Classification of Coffee Fruit Maturity Levels [PDF]

Detection and classification of coffee cherries based on maturity levels present a significant challenge in agricultural product processing systems, primarily due to the high visual similarity among classes within a single bunch.
Imran, Bahtiar, M. Zulpahmi, Subki, Ahmad   +2 more
core   +2 more sources

RA-YOLOv8: An Improved YOLOv8 Seal Text Detection Method

Electronics
To detect text from electronic seals that have significant background interference, blurring, text overlapping, and curving, an improved YOLOv8 model named RA-YOLOv8 was developed. The model is primarily based on YOLOv8, with optimized structures in its backbone and neck.
Han Sun, Chaohong Tan, Si Pang, Hancheng Wang, Baohua Huang   +4 more
openaire   +1 more source

Depth-YOLO-based defect detection algorithm for semiconductor bonding leads

工程科学学报
Wire bonding, which is a critical step in integrated circuit packaging, interconnects various components and chips to ensure appropriate circuit functionality. Quality inspection directly affects the product yield rates.
Naigong YU, Ao LI, Yi YANG
doaj   +1 more source

Vehicle Identification and Classification Using YOLO Algorithm [PDF]

Vehicle identification and classification are among the challenging activities for the management and control of a large number of different vehicles moving in the inner city.
Ly Thi Huyen, Chau, Pham Quyet, Chi, Thi Nguyen, Quyen   +2 more
core   +2 more sources

AI‐Powered Framework for Evaluating Drug Efficacy for Three‐Dimensional In Vitro Cancer Models in Robot‐Assisted Production

Advanced Robotics Research, EarlyView.
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy, Jesus Nieves, Lukas Königer, Matthias Peindl, Fabio Erhard, Marc Möllmann, Anke Klingner, Markus Münig, Bibin Babu, Thomas Schwarz, Marco Metzger, Gudrun Dandekar, Maximiliane Wußmann, Jan Hansmann   +13 more
wiley   +1 more source

Pengembangan Model Klasifikasi Kendaraan Keluar Masuk Area Parkir Dengan Algoritma YOLOv8 [PDF]

Peningkatan laju pertumbuhan mahasiswa baru menimbulkan tantangan serius terhadap infrastruktur parkir di Universitas Muhammadiyah Kalimantan Timur (UMKT). Data terkini menunjukkan adanya peningkatan signifikan sekitar 10% dari tahun sebelumnya, mencapai
Faturrohman, Argi Nur, Rahim, Abdul, Suryawan, Sayekti Harits   +2 more
core   +2 more sources