This multi-center randomized controlled trial explores the therapeutic benefits of Indian classical music, specifically “Raga Therapy,” for managing diabetes, thyroid disorders, and hypertension—prevalent global he...
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In the construction industry,to prevent accidents,non-destructive tests are necessary and *** impedance tomography is a new technology in non-invasive imaging in which the image of the inner part of conductive bodies ...
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In the construction industry,to prevent accidents,non-destructive tests are necessary and *** impedance tomography is a new technology in non-invasive imaging in which the image of the inner part of conductive bodies is reconstructed by the arrays of external electrodes that are connected on the periphery of the *** equipment is cheap,fast,and edge *** this imaging method,the image of electrical conductivity distribution(or its opposite;electrical impedance)of the internal parts of the target object is *** image reconstruction process is performed by injecting a precise electric current to the peripheral boundaries of the object,measuring the peripheral voltages induced from it and processing the collected *** an electrical impedance tomography system,the voltages measured in the peripheral boundaries have a non-linear equation with the electrical conductivity *** paper presents a cheap Electrical Impedance Tomography(EIT)instrument for detecting impurities in the concrete.A voltage-controlled current source,a micro-controller,a set of multiplexers,a set of electrodes,and a personal computer constitute the structure of the *** conducted tests on concrete with impurities show that the designed EIT system can reveal impurities with a good accuracy in a reasonable time.
Online shopping platforms are experiencing rapid growth, necessitating effective product recommendation systems to enhance customer satisfaction by recommending visually similar products. Traditional statistical techn...
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作者：
Sharma, MansiKumar, PraveenPuri, Chetan
Department of Computer Science and Design Wardha India
Department of Computer Science and Medical Engineering Wardha India
Hyperglycaemia may be a trademark of diabetes mellitus, a chronic metabolic disease that has picked up universal consideration. The administration of diabetes and its related complications depends intensely on early r...
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Existing deep learning-based point cloud denoising methods are generally trained in a supervised manner that requires clean data as ground-truth ***,in practice,it is not always feasible to obtain clean point *** this...
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Existing deep learning-based point cloud denoising methods are generally trained in a supervised manner that requires clean data as ground-truth ***,in practice,it is not always feasible to obtain clean point *** this paper,we introduce a novel unsupervised point cloud denoising method that eliminates the need to use clean point clouds as groundtruth labels during *** demonstrate that it is feasible for neural networks to only take noisy point clouds as input,and learn to approximate and restore their clean *** particular,we generate two noise levels for the original point clouds,requiring the second noise level to be twice the amount of the first noise *** this,we can deduce the relationship between the displacement information that recovers the clean surfaces across the two levels of noise,and thus learn the displacement of each noisy point in order to recover the corresponding clean *** experiments demonstrate that our method achieves outstanding denoising results across various datasets with synthetic and real-world noise,obtaining better performance than previous unsupervised methods and competitive performance to current supervised methods.
Blockchain as a decentralized storage technology is widely used in many *** has extremely strict requirements for reliability because there are many potentially malicious ***,blockchain is a chain storage structure fo...
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Blockchain as a decentralized storage technology is widely used in many *** has extremely strict requirements for reliability because there are many potentially malicious ***,blockchain is a chain storage structure formed by interconnecting blocks1),which are stored by full replication method,where each node stores a replica of all blocks and the data consistency is maintained by the consensus *** decrease the storage overhead,previous approaches such as BFT-Store and Partition Chain store blocks via erasure ***,existing erasure coding based methods utilize static encoding schema to tolerant f malicious nodes,but in the typical cases,the number of malicious nodes is much smaller than f as described in previous *** redundant parities to tolerate excessive malicious nodes introduces unnecessary storage *** solve the above problem,we propose Dynamic-EC,which is a Dynamic Erasure Coding method in permissioned blockchain *** key idea of Dynamic-EC is to reduce the storage overhead by dynamically adjusting the total number of parities according to the risk level of the whole system,which is determined by the number of perceived malicious nodes,while ensuring the system *** demonstrate the effectiveness of Dynamic-EC,we conduct several experiments on an open source blockchain software *** results show that,compared to the state-of-the-art erasure coding methods,Dynamic-EC reduces the storage overhead by up to 42%,and decreases the average write latency of blocks by up to 25%,respectively.
The Internet of Things (IoT) has emerged as a transformative technology, connecting a wide array of devices and enabling seamless communication and data exchange. However, the rapid proliferation of IoT devices has br...
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Mobile app developers struggle to prioritize updates by identifying feature requests within user reviews. While machine learning models can assist, their complexity often hinders transparency and trust. This paper pre...
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作者：
Sharma, MansiKumar, Praveen
Department of Computer Science and Design Wardha India
Department of Computer Science and Medical Engineering Wardha India
Heart disease continues to be a major worldwide health problem, taking many lives annually. Reducing death rates and moving forward persistent results depend heavily on early recognizable proof and anticipation. Conve...
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ISBN:
(纸本)9798331528713
Heart disease continues to be a major worldwide health problem, taking many lives annually. Reducing death rates and moving forward persistent results depend heavily on early recognizable proof and anticipation. Conventional techniques for diagnosing cardiac disease can be time-consuming and can require intrusive strategies. Machine learning has ended up a practical strategy for handling these issues in later a long time. Machine learning calculations are able of distinguishing patterns and making exceptionally exact forecasts almost the possibility of cardiac infection by assessing enormous databases of persistent data. This study looks into how machine learning may be utilized to estimate the hazard of heart infection depending on distinctive quiet characteristics. A huge dataset was utilized, which included details approximately blood weight, cholesterol, age, gender, smoking status, and the presence of certain medical disorders. Through the utilize of cutting-edge machine learning strategies such as Random Forest, Support Vector Machine, and Neural Networks, our goal was to make models that may dependably distinguish individuals as either tall or low chance heart malady patients. The comes about of this think about illustrate how machine learning has the capacity to totally change the field of heart illness anticipation. Healthcare experts can act early with focused interventions, such as pharmaceutical, lifestyle changes, or more advanced demonstrative strategies, by accurately recognizing those who are at high risk. This individualized approach to treatment can lower the overall burden of heart illness and enormously upgrade understanding results. This study appears how well machine learning can anticipate the hazard of heart infection. In specific, the Random Forest demonstrate turned out to be a valuable asset for deciding which individuals would benefit from early mediation. We may expect the advancement of continuously more complex and precise models as ma
Newborn weight refers to the weight of a baby at the time of birth. It is typically measured in units such as pounds and ounces or kilograms. The weight of a newborn is an essential metric used by healthcare professio...
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