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.
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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User interaction and social behaviour are key components in the study of social networks because they help manage and forecast user behaviour on sites like Facebook, Twitter, microblogging, and others. The mobile comm...
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The IoMT is a device that works with different healthcare systems to help develop networking technologies. It reduces the unnecessary burden of visiting the hospital. Instead, it enables the transfer of medical relate...
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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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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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The Sign Language Translation and Voice Impairment Support System (SLT-VISS) represents a groundbreaking application of deep learning methodology aimed at facilitating communication for individuals with hearing impair...
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In the evolving digital landscape, brand reputation is shaped significantly by customer sentiment across diverse platforms. For businesses in India, where multilingual interactions are common, capturing sentiment in r...
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Rivers are major source of fresh water. However, urbanization is severely polluting fresh water bodies, posing serious risks to life. To handle this challenge, the proposed model predicts Water Quality Index (WQI), wh...
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Forest fires are a serious hazard to both the environment and human life. For an effective and timely response, early detection of these fires is essential. This study offers a reliable method for detecting forest fir...
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