Results 91 to 100 of about 17,190 (230)

PEMANTAUAN DAN DETEKSI SUHU AYAM PETELUR PADA KANDANG TERTUTUP BERBASIS IOT [PDF]

This research developed a prototype system for monitoring and detecting the temperature of laying hens in closed cages using the YOLOV5 model, which was then displayed via the web. This system is designed to overcome the challenges of maintaining optimal
Asmoro, Bayu Septiawan Mahkotaning, Fauzy, Roykhan Arofat Falifi Al, Kafabihi, Moh. Malkan, Syafiie, Rifki Anwar   +3 more
core  

A Comprehensive Review of Traditional and Machine Learning‐Assisted Diffuse Optical Spectroscopy and Imaging Techniques for Dermatological Applications

Advanced Photonics Research, Volume 7, Issue 5, May 2026.
This review critically examines clinical studies on both conventional and machine learning (ML)‐integrated diffuse optical spectroscopy and imaging methods for dermatological applications, with a primary focus on the past decade and inclusion of earlier foundational work where appropriate.
Iftak Hussain, Li Xiuting, Randall Ang Jie, Keertana Vinod Ram, Mark Teo Ju Teng, Valerie Xinhui Teo, Malini Olivo, U. S. Dinish   +7 more
wiley   +1 more source

Inspección de subestaciones eléctricas: YOLOv5 en la identificación de puntos calientes mediante imágenes térmicas [PDF]

Substations are key facilities within an electrical system, untimely failures tend to cause low quality and negative effects on the electrical supply. An early indicator of potential electrical equipment failure is the appearance of hot spots; therefore,
Malpica-Rodriguez, Manuel E., Pérez-Aguilar, Andy P., Pérez-Aguilar, Daniel A., Pérez-Aguilar, Jair. M, Risco-Ramos, Redy H.   +4 more
core   +2 more sources

Deep Learning Integration in Optical Microscopy: Advancements and Applications

Microscopy Research and Technique, Volume 89, Issue 5, Page 791-814, May 2026.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari, Sagnika Dutta, H. Deeksha, Samreen A. Patel, Budheswar Dehury, Nirmal Mazumder   +5 more
wiley   +1 more source

DDVC-YOLOv5: An Improved YOLOv5 Model for Road Defect Detection

IEEE Access
Road defect detection is crucial for enhancing traffic safety, optimizing urban management efficiency, and promoting sustainable urban development. Traditional manual detection methods are inefficient and costly, and most deep learning-based road defect detection models lack superior feature extraction capabilities in complex environments.
Shihao Zhong, Chunlin Chen, Wensheng Luo, Siyuan Chen   +3 more
openaire   +2 more sources

IMPLEMENTASI YOLOV5 UNTUK DETEKSI KARTU DEBIT: STUDI KASUS PADA KLASIFIKASI BRITAMA DAN SIMPEDES [PDF]

This study aims to develop an object detection model based on YOLOv5 to classify debit card types. With the advancement of financial technology, the need for automated systems to identify debit cards has become essential to enhance transaction efficiency
Firmansyah, Vian, Hesananda, Rizki
core   +1 more source

Terrain Classification for Planetary Rovers Using Wireless In‐Wheel Sensor Modules and Machine Learning

Journal of Field Robotics, Volume 43, Issue 3, Page 1884-1904, May 2026.
ABSTRACT Safe and reliable mobility over different kinds of ground is important for planetary rovers on space missions. Since terrain changes might affect the mobility of the rover, energy consumption, and safety, detecting the type of ground in real‐time is vital.
Md Masrul Khan, Sultan Shaharea, Manseeb M. Mannaf, Shihab Ahemed, Fahim Islam Anik, Md Jarir Hossain, Helal An Nahiyan, Sourav Karmaker   +7 more
wiley   +1 more source

YOLO-Based Miner Detection Using Thermal Images In Underground Mines [PDF]

Well-designed and effective in-mine robots can expedite miner self-rescue during emergencies and reduce fatalities. These in-mine robots for miner self-rescue can carry out diverse tasks such as scouting (including object detection and autonomous ...
Addy, Cyrus, Awuah-Offei, Kwame, Nadendla, Venkata Sriram Siddhardh   +2 more
core   +2 more sources

Development and Preliminary Evaluation of a Machine Vision‐Guided Smart Sprayer Prototype Toward Precision Vegetable Weeding

Journal of Field Robotics, Volume 43, Issue 3, Page 1973-1987, May 2026.
ABSTRACT Sustainable weed management necessitates herbicide‐reduced, precision weed control. Recent advancements in machine vision and artificial intelligence (AI) for weed recognition and localization have created new opportunities for high‐precision weeding. Although blanket spraying systems are widely used for weed removal, machine vision‐guided, AI‐
Boyang Deng, Yuzhen Lu, Daniel Brainard
wiley   +1 more source

Shorebird responses to fine‐scale water level fluctuations and macrofauna biomass in a newly constructed freshwater wetland

Restoration Ecology, Volume 34, Issue 4, May 2026.
Abstract Introduction Restoration of marine and freshwater wetlands for shorebirds is essential for the recovery of their declining populations. An ongoing approach is to restore shorebird habitats by large‐scale engineering, expecting the return of birds once suitable abiotic conditions are (re)established.
Lars Ursem, Elisabeth S. Bakker, Hui Jin, Casper H. A. van Leeuwen   +3 more
wiley   +1 more source