deep DNA machine learning model to classify the tumor genome of patients with tumor sequencing

Logeshwaran, J.; Adhikari, Nirmal; Joshi, Sidharth Srikant; Saxena, Poorvi; Sharma, Ankita

doi:10.53730/ijhs.v6ns5.10767

Cited by 117 publications

(19 citation statements)

References 26 publications

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“…In general, the choice of technology to build or upgrade a passive fiber-optic network depends on customer conditions, subscriber needs, and development opportunities [35]. The installer should thoroughly examine the original data in order to select the technology and create an optimal plan for the future PON [36].…”

Section: Literature Reviewmentioning

confidence: 99%

“…For the corporate market, unifying all remote segments into a single pulse service network increases the efficiency of information transfer by an order of magnitude, ensuring data availability at any time [34,35]. Thanks to the ability to exchange large amounts of data between offices, we can organize conference calls and video conferences with remote departments [36]. All of this speeds up the organization's response to changes and ensures real-time control of all processes [37].…”

Section: Introductionmentioning

confidence: 99%

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Tele Education in India

Kiruthiga¹,

Vaniprabha²

2023

BIJCICN

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The core idea of asynchronous transfer mode (ATM) technology was revealed a long time ago. The main technology under development at the time was time-division multiplexing (TDM) technology, which consisted of synchronous switching based on the sequence number of bytes in the integrated frame. The main disadvantage of TDM technology, also known as synchronous transport module (STM) synchronous transmission technology, is the inability to reallocate the bandwidth of the integrated channel between subchannels. During those periods when no user data is sent on the subchannel, the aggregated channel still sends the bytes of this subchannel filled with zeros. Efforts to load sub channels’ idle periods necessitate the introduction of a header for each subchannel’s data. In intermediate statistical time-division multiplexing (STDM) technology, which allows idle periods to be filled by transmitting bursts of traffic from other sub channels, headers that actually have a subchannel number are introduced. In this paper, the strategic analysis and operation of technologies used in multiservice networks were discussed. Simultaneously, the structure of data sets is drawn into sets resembling computer networks. The fact that each packet has an address allows it to be transmitted asynchronously since its location relative to data on other subchannels is not its address. Asynchronous packets from one subchannel are inserted into the free time slots of another subchannel, but they are not mixed with the data of this subchannel because they have their own address.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tele Education in India

Kiruthiga¹,

Vaniprabha²

2023

BIJCICN

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“…However, some patients with neurological disabilities experience various lingering symptoms even months after the infection [2]. According to the World Health Organization (WHO), it has been mentioned that some long-term health disorders may occur in people who have been exposed to the coronavirus for a long time [3,4].…”

Section: Introductionmentioning

confidence: 99%

Examination of the Effects of Long-term COVID-19 Impacts on Patients with Neurological Disabilities Using a Neuromachine Learning Model

Vaniprabha¹,

Logeshwaran²,

Kiruthiga³

et al. 2023

BIJNN

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Currently, studies have shown that one in three people infected with coronavirus disease-19 (COVID-19) is likely to have had long-term exposure to COVID-19, known as long-term COVID-19. Clinical studies indicate that many people infected with the severe acute respiratory syndrome Coronavirus-2 (SARS-CoV-2) COVID-19 pandemic have long-term COVID-19 exposure. According to the study, it has been said that people with diabetes and obesity, and people who have received organ transplants, are more likely to suffer from this long-term effect of COVID-19. In this article, the effects of long-term COVID-19 exposure on neurological disability patients are analyzed with the help of a neuromachine learning model. The proposed model also shows that this long-term COVID problem does not depend on the factors such as race, age, gender, and socioeconomic status of those people. According to the proposed model, people suffering from long-term COVID problems continue to suffer from physical fatigue and shortness of breath and are regularly monitored and classified as per the proposed instructions. Even after they recover from the disease, various side effects are seen.

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“…In fact, most errors are associated with the loss of some part of the data. At the same time, traditional backup tools allow you to restore data directly from the backup, but often you need to restore the entire system [11][12][13]. If your database is 15 TB, this will take several days [14].…”

Section: Introductionmentioning

confidence: 99%

A Secured Database Monitoring Method to Improve Data Backup and Recovery Operations in Cloud Computing

Ramesh¹,

Logeshwaran²,

Aravindarajan³

2023

BIJCS

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In general, the company sometimes uses unregistered functions in database, which significantly improves performance, but does not leave the possibility of recovery except for backup. That is, actions must be performed immediately after passing the session. A queue problem is likely to cause data loss and downtime of about a week. In modern conditions, this can lead to the bankruptcy of the company. It can be seen that backup systems have been installed and configured, but despite this, they have not succeeded in restoring within the time frame specified in the SLA. In this study, a secured database monitoring method was proposed to improve data backup and recovery operations in cloud computing. In this proposed method, the backup speed is directly proportional to the amount of data, while having at least 30% annual data growth. In 3–4 years, the data at least doubled, but for some companies, this number is even higher, while the backup speed does not change. Those terms and those SLAs that were relevant 3–4 years ago now need to be at least doubled. At the same time, business requirements for data recovery (recovery point objective/recovery time objective) continue to grow

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deep DNA machine learning model to classify the tumor genome of patients with tumor sequencing

Cited by 117 publications

References 26 publications

Tele Education in India

Tele Education in India

Examination of the Effects of Long-term COVID-19 Impacts on Patients with Neurological Disabilities Using a Neuromachine Learning Model

A Secured Database Monitoring Method to Improve Data Backup and Recovery Operations in Cloud Computing

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