Results 51 to 60 of about 54,995 (246)
AgriFood: Journal of Agricultural Products for Food, EarlyView.The study of Physical characteristics of agricultural materials is necessary for the design of processes and machines for food production. Length, width, thickness, sphericity, unit mass, and aspect ratio were the physical characteristics of ultrasound pretreated Dialium guineense whole fruits subjected to Neural network modeling.
Mfrekemfon Akpan +2 more
wiley +1 more source
Artificial Intelligence in Robotic Manipulators: Exploring Object Detection and Grasping Innovations
Mağallaẗ Al-kūfaẗ Al-handasiyyaẗThe importance of deep learning has heralded transforming changes across different technological domains, not least in the enhancement of robotic arm functionalities of object detection’s and grasping.
Montassar Aidi Sharif +3 more
doaj +1 more source
Detection of Militia Object in Libya by Using YOLO Transfer Learning
Jurnal Teknologi dan Manajemen Informatika, 2020 Humans can recognize and classify shapes, names, and provide responses to object that are received by visually quickly and accurately. More importantly, it is expected that the system created is able to help provide response in all tasks and time, for ...
Yosi Kristian +2 more
doaj +1 more source
Behind the Mask: Detection and Recognition Based-on Deep Learning
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2022 COVID-19 prevention procedures are executed to support public services and business continuity in a pandemic situation. Manual mask use monitoring is not efficient as it requires resources to monitor people at all times.
Ade Nurhopipah +2 more
doaj +1 more source
Over speed detection using Artificial Intelligence [PDF]
, 2019 Over speeding is one of the most common traffic violations. Around 41 million people are issued speeding tickets each year in USA i.e one every second. Existing approaches to detect over- speeding are not scalable and require manual efforts.
Patira, Samkit
core +1 more source
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
, 2018 We present DeblurGAN, an end-to-end learned method for motion deblurring. The learning is based on a conditional GAN and the content loss . DeblurGAN achieves state-of-the art performance both in the structural similarity measure and visual appearance ...
Budzan, Volodymyr +4 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando +4 more
wiley +1 more source
Promet (Zagreb)Lane and object detection are the major concerns of an autonomous vehicle’s ability to move continuously without creating any traffic congestion or collisions.
Jayamani SIDDAIYAN, Kumar PONNUSAMY
doaj +1 more source
VM-YOLO: YOLO with VMamba for Strawberry Flowers Detection
PlantsComputer vision technology is widely used in smart agriculture, primarily because of its non-invasive nature, which avoids causing damage to delicate crops. Nevertheless, the deployment of computer vision algorithms on agricultural machinery with limited computing resources represents a significant challenge.
Yujin Wang +3 more
openaire +3 more sources
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 +6 more
wiley +1 more source