Wireless Sensor Network (WSN) is a network with a good organization that provides efficient communication services. However, high energy usage and attack data sometimes become the key challenges that degrade the entir...
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With the ever-increasing continuous adoption of Industrial Internet of Things(IoT)technologies,security concerns have grown exponentially,especially regarding securing critical *** is primarily due to the potential fo...
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With the ever-increasing continuous adoption of Industrial Internet of Things(IoT)technologies,security concerns have grown exponentially,especially regarding securing critical *** is primarily due to the potential for backdoors to provide unauthorized access,disrupt operations,and compromise sensitive *** pose a significant threat to the integrity and security of Industrial IoT setups by exploiting vulnerabilities and bypassing standard authentication *** its detection becomes of paramount *** paper not only investigates the capabilities of Machine Learning(ML)models in identifying backdoor malware but also evaluates the impact of balancing the dataset via resampling techniques,including Synthetic Minority Oversampling Technique(SMOTE),Synthetic Data Vault(SDV),and Conditional Tabular Generative Adversarial Network(CTGAN),and feature reduction such as Pearson correlation coefficient,on the performance of the ML *** evaluation on the CCCS-CIC-AndMal-2020 dataset demonstrates that the Random Forest(RF)classifier generated an optimal model with 99.98%accuracy when using a balanced dataset created by ***,the training and testing time was reduced by approximately 50%when switching from the full feature set to a reduced feature set,without significant performance loss.
A crucial development in recent agriculture is the emergence of crop recommendation systems, which provide a unique method for optimizing crop yields and resource use. In this work, we have proposed an advanced 'C...
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Incredible progress has been made in human action recognition(HAR),significantly impacting computer vision applications in sports ***,identifying dynamic and complex movements in sports like badminton remains challeng...
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Incredible progress has been made in human action recognition(HAR),significantly impacting computer vision applications in sports ***,identifying dynamic and complex movements in sports like badminton remains challenging due to the need for precise recognition accuracy and better management of complex motion *** learning techniques like convolutional neural networks(CNNs),long short-term memory(LSTM),and graph convolutional networks(GCNs)improve recognition in large datasets,while the traditional machine learning methods like SVM(support vector machines),RF(random forest),and LR(logistic regression),combined with handcrafted features and ensemble approaches,perform well but struggle with the complexity of fast-paced sports like *** proposed an ensemble learning model combining support vector machines(SVM),logistic regression(LR),random forest(RF),and adaptive boosting(AdaBoost)for badminton action *** data in this study consist of video recordings of badminton stroke techniques,which have been extracted into spatiotemporal *** three-dimensional distance between each skeleton point and the right hip represents the spatial *** temporal features are the results of Fast Dynamic Time Warping(FDTW)calculations applied to 15 frames of each video *** weighted ensemble model employs soft voting classifiers from SVM,LR,RF,and AdaBoost to enhance the accuracy of badminton action *** E2 ensemble model,which combines SVM,LR,and AdaBoost,achieves the highest accuracy of 95.38%.
Testing large software applications poses a major challenge, especially in the presence of changes that are usually introduced after the initial deployment of said applications. This makes it rather difficult to antic...
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Multivariate Time Series (MTS) data imputation plays a pivotal role in enhancing the robustness of temporal data analyses across diverse domains. In this paper, we propose a novel hybrid model that combines the genera...
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For a given polygonal region P, the Lawn Mowing Problem (LMP) asks for a shortest tour T that gets within Euclidean distance 1/2 of every point in P;this is equivalent to computing a shortest tour for a unit-diameter ...
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With the exponential development in the usage of cloud data storage across a variety of applications, developing effective access control measures to secure sensitive user data has become critical. This research prese...
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Vision impairment is a latent problem that affects numerous people across the *** advancements,particularly the rise of computer processing abilities like Deep Learning(DL)models and emergence of wearables pave a way ...
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Vision impairment is a latent problem that affects numerous people across the *** advancements,particularly the rise of computer processing abilities like Deep Learning(DL)models and emergence of wearables pave a way for assisting visually-impaired *** models developed earlier specifically for visually-impaired people work effectually on single object detection in unconstrained ***,in real-time scenarios,these systems are inconsistent in providing effective guidance for visually-impaired *** addition to object detection,extra information about the location of objects in the scene is essential for visually-impaired *** this in mind,the current research work presents an Efficient Object Detection Model with Audio Assistive System(EODM-AAS)using DL-based YOLO v3 model for visually-impaired *** aim of the research article is to construct a model that can provide a detailed description of the objects around visually-impaired *** presented model involves a DL-based YOLO v3 model for multi-label object ***,the presented model determines the position of object in the scene and finally generates an audio signal to notify the visually-impaired *** order to validate the detection performance of the presented method,a detailed simulation analysis was conducted on four *** simulation results established that the presented model produces effectual outcome over existing methods.
In a country like India whose citizens carry a diversity of facial features and appearances widely varying from each other this paper can address one of the solutions that can be considered accountable to classify and...
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