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Object detection using YOLO: Challenges, architectural successors, datasets and applications
Object detection is one of the predominant and challenging problems in computer vision.
Over the decade, with the expeditious evolution of deep learning, researchers have …
Over the decade, with the expeditious evolution of deep learning, researchers have …
YOLOv1 to YOLOv10: A comprehensive review of YOLO variants and their application in the agricultural domain
This survey investigates the transformative potential of various YOLO variants, from YOLOv1
to the state-of-the-art YOLOv10, in the context of agricultural advancements. The primary …
to the state-of-the-art YOLOv10, in the context of agricultural advancements. The primary …
CE-FPN: enhancing channel information for object detection
Feature pyramid network (FPN) has been an efficient framework to extract multi-scale
features in object detection. However, current FPN-based methods mostly suffer from the …
features in object detection. However, current FPN-based methods mostly suffer from the …
In-depth review of yolov1 to yolov10 variants for enhanced photovoltaic defect detection
This review presents an investigation into the incremental advancements in the YOLO (You
Only Look Once) architecture and its derivatives, with a specific focus on their pivotal …
Only Look Once) architecture and its derivatives, with a specific focus on their pivotal …
Effective prediction and resource allocation method (EPRAM) in fog computing environment for smart healthcare system
FM Talaat - Multimedia Tools and Applications, 2022 - Springer
Recently, many concepts in technology has been changed. According to the digital
transformation trends, Internet of Things (IoT) represents an interested research issue. As …
transformation trends, Internet of Things (IoT) represents an interested research issue. As …
Diabetic retinopathy detection and grading of retinal fundus images using coyote optimization algorithm with deep learning
K Parthiban, M Kamarasan - Multimedia Tools and Applications, 2023 - Springer
Diabetic retinopathy (DR) is a major reason of preventable blindness for diabetic patients.
Regular retinal screening is recommended for diabetic persons to detect DR at the earlier …
Regular retinal screening is recommended for diabetic persons to detect DR at the earlier …
A nomadic multi-agent based privacy metrics for e-health care: a deep learning approach
In recent years, there has been a surge in the use of deep learning systems for e-healthcare
applications. While these systems can provide significant benefits regarding improved …
applications. While these systems can provide significant benefits regarding improved …
Lane detection in intelligent vehicle system using optimal 2-tier deep convolutional neural network
Abstract In Advanced Driver Assistance Systems (ADAS) and autonomous vehicles, lane
detection is an important module. Most lane detection methods focused on detecting lanes …
detection is an important module. Most lane detection methods focused on detecting lanes …
A stock market trading framework based on deep learning architectures
Market prediction has been a key interest for professionals around the world. Numerous
modern technologies have been applied in addition to statistical models over the years …
modern technologies have been applied in addition to statistical models over the years …
Combining LSTM and CNN methods and fundamental analysis for stock price trend prediction
Stock market trend prediction has always been a major challenge for investors. In this paper,
the combination of Convolutional Neural Network and long short-term memory methods, as …
the combination of Convolutional Neural Network and long short-term memory methods, as …