Alzheimer's disease is a progressive and and irreversible brain disorder that basically affects memory, thinking, and behavior. Overtime, people with this disease experience confusion, difficulty with language and...
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Usability plays a critical role in ensuring the efficient delivery of services on e-tourism websites, particularly for travelers in developing countries. This study’s objectives aim to assess the current usability st...
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In this paper, we conduct a comparative analysis of LSTM (Long Short-Term Memory) architectures, including GPU LSTM and Convolutional LSTM, for sentiment analysis tasks on an e-commerce dataset. The evaluation is base...
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This paper aims at producing a novel, robust, and efficient blind medical image watermarking scheme on MRI, CT, X-ray, and Ultrasound dicom images. In this, the binary watermark image of sized is first encrypted with ...
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This research aims to enhance photo encryption security by developing a sophisticated technique. This method uses homomorphic encryption to address challenges in encrypting visible spectrum pictures. Each red–green–...
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In remote trekking regions such as the Kedarnath trail, ensuring the safety and security of individuals remains a paramount concern due to the lack of reliable network connectivity and Internet services. Casualties an...
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Power analysis done with ideal RTL simulation waveforms using zero-delay analysis is optimistic and does not represent the realistic power dissipation in application specific integrated circuits (ASICs). In order to p...
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Machine learning engineering relies on MLOps, a collection of best practises for commercializing models. As fresh data is added, machine learning models can become less effective. ML models can't use all data. To ...
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The Smart Transport Hub is a web-based application designed to streamline the process of finding and comparing travel options across flights, trains, and buses. By integrating multiple transportation APIs, the platfor...
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The Brain Tumor(BT)is created by an uncontrollable rise of anomalous cells in brain tissue,and it consists of 2 types of cancers they are malignant and benign *** benevolent BT does not affect the neighbouring healthy...
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The Brain Tumor(BT)is created by an uncontrollable rise of anomalous cells in brain tissue,and it consists of 2 types of cancers they are malignant and benign *** benevolent BT does not affect the neighbouring healthy and normal tissue;however,the malignant could affect the adjacent brain tissues,which results in *** recognition of BT is highly significant to protecting the patient’s ***,the BT can be identified through the magnetic resonance imaging(MRI)scanning *** the radiotherapists are not offering effective tumor segmentation in MRI images because of the position and unequal shape of the tumor in the ***,ML has prevailed against standard image processing *** studies denote the superiority of machine learning(ML)techniques over standard ***,this study develops novel brain tumor detection and classification model using met heuristic optimization with machine learning(BTDC-MOML)*** accomplish the detection of brain tumor effectively,a computer-Aided Design(CAD)model using Machine Learning(ML)technique is proposed in this research ***,the input image pre-processing is performed using Gaborfiltering(GF)based noise removal,contrast enhancement,and skull ***,mayfly optimization with the Kapur’s thresholding based segmentation process takes *** feature extraction proposes,local diagonal extreme patterns(LDEP)are *** last,the Extreme Gradient Boosting(XGBoost)model can be used for the BT classification *** accuracy analysis is performed in terms of Learning accuracy,and the validation accuracy is performed to determine the efficiency of the proposed research *** experimental validation of the proposed model demonstrates its promising performance over other existing methods.
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