Results 11 to 20 of about 6,685 (188)

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

Object Detection using YOLOv8 : A Systematic Review

Sistemasi: Jurnal Sistem Informasi
This study is a Systematic Literature Review (SLR) that comprehensively reviews the recent advances in YOLOv8-based object detection models and their implementations in various application fields, such as UAV aerial photography, fruit ripeness ...
Nugraha Asthra Megantara, Ema Utami
doaj   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

SmartDetectAI: An AI‐Powered Web App for Real‐Time Colorimetric Detection of Heavy Metals in Water

Advanced Intelligent Systems, EarlyView.
SmartDetectAI integrates silver nanoparticle‐based colorimetric sensing with an AI‐powered web app for rapid, on‐site detection of toxic heavy metals in water. By combining aggregation‐driven optical changes with machine learning analysis of red ‐ green ‐ blue values, the platform achieves portable, low‐cost, and accurate monitoring of Hg‐ and Cd‐based
Nishat Tasnim, Mirza M. A. Tunur, Fahad Arefin, Shahad Saroar, Md. Wahadoszamen, Taslim Ur Rashid, Aminul I. Talukder, Md. Nurul Amin, Mahmudur Rahman, Ahsan Habib   +9 more
wiley   +1 more source

Lightweight coal particle group instance segmentation method based on YOLOv8

Meitan xuebao
In the foundational research field of mine gas control, a large quantity of coal particles is widely employed in various experiments. Due to the significant impact of particle size distribution on experimental results, the precise and rapid determination
Jingjing LIU, Fengqian SUN, Haoxiang ZHANG, He JIANG, Junhui CHEN, Qiqi KOU, Deqiang CHENG   +6 more
doaj   +1 more source

Machine Learning‐Augmented Loop‐Mediated Isothermal Amplification‐Enabled Point‐of‐Care for Mpox‐Specific Detection

Advanced Intelligent Systems, EarlyView.
A low‐cost, portable point‐of‐care platform for rapid Mpox detection using loop‐mediated isothermal amplification is reported. The device integrates fluorescence readout and mobile monitoring. A machine‐learning model analyzes temperature data and correlates thermal changes with DNA concentration, enabling sensitive and reliable molecular diagnosis in ...
Nazente Atceken, Ahmed Choukri Abdullah, Olgac Ozarslan, Ziya Yıldız, Savas Tasoglu   +4 more
wiley   +1 more source

A Multi‐instrument Recognition and Autonomous Tracking Control Method for Robot‐Assisted Endoscopic Adjustment

Advanced Intelligent Systems, EarlyView.
During lengthy minimally invasive surgeries, fatigue can cause surgeon tremor and poor endoscopic coordination. This study proposes a robot‐assisted endoscopic adjustment system. It employs a lightweight instrument detection model and a hierarchical multiconstraint controller for visual servoing.
Zijie Yang, Junyi Hu, Yu Han, Wanquan Liu, Fuxing Wei, Jianqing Peng   +5 more
wiley   +1 more source

Foreign object detection of coal mine conveyor belt based on improved YOLOv8

Gong-kuang zidonghua
The existing deep learning based foreign object detection models for conveyor belts are relatively large and difficult to deploy on edge devices. There are errors and omissions in detecting foreign objects of different sizes and small objects.
HONG Yan, WANG Lei, SU Jingming, WANG Hantao, LI Mushi   +4 more
doaj   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

CDF-YOLOv8: City Recognition System Based on Improved YOLOv8

IEEE Access
To address challenges in urban traffic management, especially detection under low exposure conditions and image quality degradation caused by weather factors, this paper proposes an urban detection algorithm based on the YOLOv8 model. Initially, The idea introduced the Chain-of-Thought Prompt Adaptive Enhancer (CPA-enhancer) to enhance image processing
P. Lu, Y. S. Jia, W. X. Zeng, P. Wei
openaire   +2 more sources