Ballistic missiles are perhaps the most critical and common flying devices today, flying at very high altitudes compared to aeroplanes. Among the important points about these flying devices is their very high speed in...
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In the new era of automation, Robotic Process Automation (RPA) has emerged as a powerful suite of tools for automating mundane, repetitive, rule-based, and structured tasks using software bots without disrupting exist...
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Yoga practice offers numerous health benefits, but incorrect poses can lead to injuries and hinder progress. This project leverages the power of deep learning, specifically Convolutional Neural Networks (CNNs) and Ten...
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An image caption is a brief description or explanation that goes along with an image. Image captions help to improve theway visual information is conveyed, making it easier to understand and comprehend. Traditional ma...
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Lower back pain is one of the most common medical problems in the world and it is experienced by a huge percentage of people *** to its ability to produce a detailed view of the soft tissues,including the spinal cord,...
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Lower back pain is one of the most common medical problems in the world and it is experienced by a huge percentage of people *** to its ability to produce a detailed view of the soft tissues,including the spinal cord,nerves,intervertebral discs,and vertebrae,Magnetic Resonance Imaging is thought to be the most effective method for imaging the *** semantic segmentation of vertebrae plays a major role in the diagnostic process of lumbar *** is difficult to semantically partition the vertebrae in Magnetic Resonance Images from the surrounding variety of tissues,including muscles,ligaments,and intervertebral discs.U-Net is a powerful deep-learning architecture to handle the challenges of medical image analysis tasks and achieves high segmentation *** work proposes a modified U-Net architecture namely MU-Net,consisting of the Meijering convolutional layer that incorporates the Meijering filter to perform the semantic segmentation of lumbar vertebrae L1 to L5 and sacral vertebra ***-colour mask images were generated and used as ground truth for training the *** work has been carried out on 1312 images expanded from T1-weighted mid-sagittal MRI images of 515 patients in the Lumbar Spine MRI Dataset publicly available from Mendeley *** proposed MU-Net model for the semantic segmentation of the lumbar vertebrae gives better performance with 98.79%of pixel accuracy(PA),98.66%of dice similarity coefficient(DSC),97.36%of Jaccard coefficient,and 92.55%mean Intersection over Union(mean IoU)metrics using the mentioned dataset.
Dengue fever is a fast-emerging public health hazard that primarily affects tropical and sub-tropical regions. Arthropods that feed on blood, such as fleas, parasites, and mosquitoes, are the carriers of this disease,...
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Chili is one of the most prominent crops of Bangladesh. Chilis are great at boosting the human immune system and contributing to overall good health. But every year, chili production is hampered due to various disease...
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Early disease identification is essential for prevention in tomato leaf crops and to reduce crop loss. Unfortunately, traditional manual methods are very timeconsuming and error-prone making automated solutions necess...
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The Internet of Medical Things(IoMT)is an emerging technology that combines the Internet of Things(IoT)into the healthcare sector,which brings remarkable benefits to facilitate remote patient monitoring and reduce tre...
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The Internet of Medical Things(IoMT)is an emerging technology that combines the Internet of Things(IoT)into the healthcare sector,which brings remarkable benefits to facilitate remote patient monitoring and reduce treatment *** IoMT devices become more scalable,Smart Healthcare Systems(SHS)have become increasingly vulnerable to *** Detection Systems(IDS)play a crucial role in maintaining network *** IDS monitors systems or networks for suspicious activities or potential threats,safeguarding internal *** paper presents the development of an IDS based on deep learning techniques utilizing benchmark *** propose a multilayer perceptron-based framework for intrusion detection within the smart healthcare *** primary objective of our work is to protect smart healthcare devices and networks from malicious attacks and security *** employ the NSL-KDD and UNSW-NB15 intrusion detection datasets to evaluate our proposed security *** proposed framework achieved an accuracy of 95.0674%,surpassing that of comparable deep learning models in smart healthcare while also reducing the false positive *** results indicate the feasibility of using a multilayer perceptron,achieving superior performance against cybersecurity threats in the smart healthcare domain.
A novel synthesis method for wideband bandpass filter (BPF) with two in-band conjugate complex transmission zeros is proposed for realizing frequency- and attenuation-reconfigurable in-band notch. A new characteristic...
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