Enhancing IoT security: A Creative Swagger Optimization algorithm for DDoS defence [0.03%]
增强物联网安全的创意算法攻击防护研究
Rahul Rajendra Papalkar,Abrar S Alvi
Rahul Rajendra Papalkar
In the Internet of Things (IoT), the security of information between network transmissions is very important since the system stores data in data storage and is performed by the exchange of network information about things. DDoS in an IoT n...
Parametric optimization for electrical discharge diamond grinding (EDDG) system using dual approach [0.03%]
基于双重研磨机理的电放电金刚石研磨(EDDG)参数优化
Vijay Kumar,Shailendra Kumar Jha
Vijay Kumar
Generally, electrically conductive materials are extremely sturdy and stiff, electric discharge milling (EDM) is a broadly utilized method. The usage of diamond grinding together with EDM in a machine is called the " and Electrical Discharg...
A novel lung cancer diagnosis model using hybrid convolution (2D/3D)-based adaptive DenseUnet with attention mechanism [0.03%]
基于混合卷积（2D/3D）的自适应DenseUnet注意机制的新型肺癌诊断模型
J Deepa,Liya Badhu Sasikala,P Indumathy et al.
J Deepa et al.
Existing Lung Cancer Diagnosis (LCD) models have difficulty in detecting early-stage lung cancer due to the asymptomatic nature of the disease which leads to an increased death rate of patients. Therefore, it is important to diagnose lung d...
Hybrid optimization enabled Eff-FDMNet for Parkinson's disease detection and classification in federated learning [0.03%]
基于联邦学习的帕金森病检测和分类的杂合优化Eff-FDMNet方法
Sangeetha Subramaniam,Umarani Balakrishnan
Sangeetha Subramaniam
Parkinson's Disease (PD) is a progressive neurodegenerative disorder and the early diagnosis is crucial for managing symptoms and slowing disease progression. This paper proposes a framework named Federated Learning Enabled Waterwheel Shuff...
AI-driven plant disease detection with tailored convolutional neural network [0.03%]
基于定制卷积神经网络的智能化植物病害识别技术研究
Sk Mahmudul Hassan,Keshab Nath,Michal Jasinski et al.
Sk Mahmudul Hassan et al.
In recent times, deep learning has been widely used in agriculture fields to identify diseases in crops, weather prediction, and crop yield prediction. However, designing efficient deep learning models that are lightweight, cost-effective, ...
Layer modified residual Unet++ for speech enhancement using Aquila Black widow optimizer algorithm [0.03%]
基于Aquila黑寡妇优化算法的说话增强层修改残差Unet++
Minipriya Thangappanpillai Murugan,Ramadoss Rajavel
Minipriya Thangappanpillai Murugan
Speech enhancement techniques face computational demands, well-developed datasets, and better quality speech signals. Deep learners help deal with different noise types; still, the challenges offered by environmental noises require highly e...
Hybrid deep learning model for image de-noising and de-mosaicking with adaptive Gannet optimization algorithm [0.03%]
自适应军舰鸟优化算法的混合深度学习模型图像去噪和解插值技术
John Peter K,SylajaVallee Narayan S R,Muthuvairavan Pillai N et al.
John Peter K et al.
Image reconstruction is a critical step in various applications, such as art restoration, medical image processing, and agriculture, but it faces challenges due to noise and mosaic artefacts. In this research, a novel approach is introduced...
CNN filter sizes, effects, limitations, and challenges: An exploratory study [0.03%]
CNN滤波器尺寸、影响、局限性和挑战：一项探索性研究
Mohamed Aboukhair,Fahad Alsheref,Adel Assiri et al.
Mohamed Aboukhair et al.
This study explores the impacts of filter sizes on convolutional neural networks (CNNs) models, moving away from the common belief that small filters (3x3) give better results. The goal is to highlight the potential of large filters and enc...
Hybrid optimization with constraints handling for combinatorial test case prioritization problems [0.03%]
约束处理的混合优化算法在组合测试用例优先级问题中的应用研究
Selvakumar J,Sudhir Sharma,Mukesh Kumar Tripathi
Selvakumar J
In software development, software testing is very crucial for developing good quality software, where the effectiveness of software is to be tested. For software testing, test suites and test cases need to be prepared in minimum execution t...
Gradient energy valley optimization enabled segmentation and Spinal VGG-16 Net for brain tumour detection [0.03%]
基于梯度能量谷优化的分割及脊髓VGG-16网络的脑肿瘤检测方法
Kishore Bhamidipati,G Anuradha,Satish Muppidi et al.
Kishore Bhamidipati et al.
The anomalous enlargement of brain cells is known as Brain Tumour (BT), which can cause serious damage to different blood vessel and nerve in human body. A precise and early detection of BT is foremost important to eliminate severe illness....