As the growth of online social networks increases, everyone is associated and linked with social media. A massive amount of personal data is being attacked and stolen by cyber attackers. These fraudulent profiles also...
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As technology is evolving and changing day by day many possibilities have become possible such as the development of smart and natural interface interactive systems between the user and computer using hand gestures. R...
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ISBN:
(数字)9789819725083
ISBN:
(纸本)9789819725076
As technology is evolving and changing day by day many possibilities have become possible such as the development of smart and natural interface interactive systems between the user and computer using hand gestures. Robots are trying these techniques to mimic humans and amaze everyone with the new technological advancement and innovations helping to make communication with smart machines easier. Also, the technology has the capabilities to be used in the medical industry for the distribution of hospital resources and help to reduce dependency on translators. Using such technology is also promoting the things which were considered impossible can be achieved now with the help of integration with AR/XR platforms and more futuristic technologies for better results. Gesture recognition is playing a major role in making life easier and smart for making our day-to-day tasks with the integration with IoT devices and cloud-based systems. The hand gesture recognition system is an example of a gesture recognition system that could help speech-impaired people to reduce their dependability on a translator for communicating their ideology. With the help of a hand recognition system, non-verbal communication can be easily achieved with the control of computers. With the help of technology interacting with humans becomes very easy and convenient. Further, the technology can be extended when combined with augmented reality, cloud computing, and IoT for more practicality and real-life implementation. With the help of AI and machine learning previous records can be maintained and further improved for increasing the overall experience of the user. The main objective of the system will give the system ability to perform different functions of computer and mouse cursor functions like drag and drop and webcam functionalities with the help of virtual mouse system functionality. Techniques like image recognition of deep learning are used for performing real-time tracking. The existing syste
This study is divided into two crucial sections. We first gathered Bangla song names and lyrics using web crawling and a dataset that was only slightly annotated. A comprehensive dataset was then thoroughly annotated ...
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Now a da's ocean monitoring system plays major role in oceanography. As the vast majority of the earth is covered with water, so some procedure is expected for environment observing and assortment of information f...
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Energy is the indispensable factor of modern societies. From last few decades, there is rapid increase in world's energy consumption due to raise of population and their comfort demands. Buildings are accountable ...
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Data augmentation plays an important role in training deep neural model by expanding the size and diversity of the ***,data augmentation mainly involved some simple transformations of ***,in order to increase the dive...
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Data augmentation plays an important role in training deep neural model by expanding the size and diversity of the ***,data augmentation mainly involved some simple transformations of ***,in order to increase the diversity and complexity of data,more advanced methods appeared and evolved to sophisticated generative ***,these methods required a mass of computation of training or *** this paper,a novel training-free method that utilises the Pre-Trained Segment Anything Model(SAM)model as a data augmentation tool(PTSAM-DA)is proposed to generate the augmented annotations for *** the need for training,it obtains prompt boxes from the original annotations and then feeds the boxes to the pre-trained SAM to generate diverse and improved *** this way,annotations are augmented more ingenious than simple manipulations without incurring huge computation for training a data augmentation *** comparative experiments on three datasets are conducted,including an in-house dataset,ADE20K and *** this in-house dataset,namely Agricultural Plot Segmentation Dataset,maximum improvements of 3.77%and 8.92%are gained in two mainstream metrics,mIoU and mAcc,***,large vision models like SAM are proven to be promising not only in image segmentation but also in data augmentation.
Skin cancer detection, acritical facet of dermatology, has witnessed significant advancements through deep learning methodologies. Leveraging the ISIC dataset, this project introduces a potent approach to multi-class ...
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The emergence of on-demand service provisioning by Federated Cloud Providers(FCPs)to Cloud Users(CU)has fuelled significant innovations in cloud provisioning *** to the massive traffic,massive CU resource requests are...
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The emergence of on-demand service provisioning by Federated Cloud Providers(FCPs)to Cloud Users(CU)has fuelled significant innovations in cloud provisioning *** to the massive traffic,massive CU resource requests are sent to FCPs,and appropriate service recommendations are sent by ***,the FourthGeneration(4G)-Long Term Evolution(LTE)network faces bottlenecks that affect end-user throughput and ***,the data is exchanged among heterogeneous stakeholders,and thus trust is a prime *** address these limitations,the paper proposes a Blockchain(BC)-leveraged rank-based recommender scheme,FedRec,to expedite secure and trusted Cloud Service Provisioning(CSP)to the CU through the FCP at the backdrop of base 5G communication *** scheme operates in three *** the first phase,a BCintegrated request-response broker model is formulated between the CU,Cloud Brokers(BR),and the FCP,where a CU service request is forwarded through the BR to different *** service requests,Anything-as-aService(XaaS)is supported by 5G-enhanced Mobile Broadband(eMBB)*** the next phase,a weighted matching recommender model is proposed at the FCP sites based on a novel Ranking-Based Recommender(RBR)model based on the CU *** the final phase,based on the matching recommendations between the CU and the FCP,Smart Contracts(SC)are executed,and resource provisioning data is stored in the Interplanetary File Systems(IPFS)that expedite the block *** proposed scheme FedRec is compared in terms of SC evaluation and formal *** simulation,FedRec achieves a reduction of 27.55%in chain storage and a transaction throughput of 43.5074 Mbps at 150 *** the IPFS,we have achieved a bandwidth improvement of 17.91%.In the RBR models,the maximum obtained hit ratio is 0.9314 at 200 million CU requests,showing an improvement of 1.2%in average servicing latency over non-RBR models and a maximization trade-off of QoE index of 2.76
This paper compares the efficacy of classical topic modeling approaches namely the Latent Dirichlet Allocation (LDA) and Non-Negative Matrix Factorization (NMF) with their respective word embedding enhanced techniques...
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Plant diseases are important factors in reducing the appearance of agricultural commodities. Consequently, it is essential to recognize and diagnose these disorders as early as possible. To this end, the researchers s...
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