Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
An Enhanced RNN-LSTM Model for Fundus Image Classification to Diagnose Glaucoma
In the current medical implications, one of the leading ocular diseases is Glaucoma which
majorly damage the Optic Nerve Head (ONH) of the eye retina. The intraocular pressure of …
majorly damage the Optic Nerve Head (ONH) of the eye retina. The intraocular pressure of …
Machine learning techniques to detect DDoS attacks in IoT's, SDN's: a comprehensive overview
Attacks known as distributed denial of service (DDoS) compromise user privacy while
disrupting internet services and posing a serious danger to network security. DDoS attack …
disrupting internet services and posing a serious danger to network security. DDoS attack …
Deep learning-based solution for differently-abled persons in the society
MM Yakoobi, NC Gowda - 2023 4th International conference …, 2023 - ieeexplore.ieee.org
This paper intends to furnish support to individuals grappling with visual impairments
through the employment of YOLOV4, an advanced object detection model. The proposed …
through the employment of YOLOV4, an advanced object detection model. The proposed …
An Efficient Breast Cancer Detection Using Machine Learning Classification Models.
Breast cancer is still a dangerous and common disease that affects women all over the
world, which highlights how crucial early identification is to better patient outcomes. In recent …
world, which highlights how crucial early identification is to better patient outcomes. In recent …
Efficient Identification of DeepFake Images using CNN
The development of Deepfakes has become more prevalent with the rise of Generative
Adversarial Networks (GANs). Deepfakes are synthetically created, modified images that …
Adversarial Networks (GANs). Deepfakes are synthetically created, modified images that …
Two Stage Video Classification Approach Using Convolution Neural Network
This research study focuses on video categorization, which is a crucial area of computer
vision with uses in entertainment, education, and surveillance. Convolutional Neural …
vision with uses in entertainment, education, and surveillance. Convolutional Neural …
An Efficient Autism Spectrum Disorder Classification in Different Age Groups using Machine Learning Models.
AR Subhash, AKU Motagi - International Journal of Online & …, 2024 - search.ebscohost.com
The current world has witnessed the emergence of various illnesses, such as autism
spectrum disorder (ASD), that are not yet medically recognized. It impacts multiple …
spectrum disorder (ASD), that are not yet medically recognized. It impacts multiple …
Enhancing Sustainable Management of Waste Dump Sites with Smart Drones and Geospatial Tech: Air Quality Monitoring and Analysis
Air pollution poses a significant global health challenge, demanding access to precise and
up‐to‐date air quality information for effective mitigation of its impact on human well‐being …
up‐to‐date air quality information for effective mitigation of its impact on human well‐being …
An Efficient Prediction System for Heart Diseases Using Machine Learning Algorithms
P Archana, SV Shashikala - 2024 Second International …, 2024 - ieeexplore.ieee.org
one of the most severe and demanding conditions that the arena is currently facing is heart
illness. Forecasting cardiovascular illness is one among the most challenging pursuits in the …
illness. Forecasting cardiovascular illness is one among the most challenging pursuits in the …
Enhancing Cybersecurity in Wireless Sensor Networks: Innovative Framework for Optimized Data Aggregation.
The various cyberattacks in wireless sensor networks (WSNs) have made confidentiality and
data integrity as crucial principles in data aggregation. Therefore, several applications are …
data integrity as crucial principles in data aggregation. Therefore, several applications are …