The electroencephalogram (EEG) signals are a big data which frequently corrupted by motion artifacts. As human neural diseases, diagnosis and analysis need robust neurological signal. Consequently, the EEG artifacts’ eradication is vital step. In this research paper, primary artifact detected from single-channel signal using support vector machine (SVM) preceded with further suppression. features’ abstraction detection done through ensemble empirical mode decomposition (EEMD) algorithm....

Stroke is a medical disorder in which the blood arteries brain are ruptured, causing damage to brain. When supply of and other nutrients interrupted, symptoms might develop. According World Health Organization (WHO), stroke greatest cause death disability globally. Early recognition various warning signs can help reduce severity stroke. Different machine learning (ML) models have been developed predict likelihood occurring This research uses range physiological parameters algorithms, such as...

Alzheimer's disease has been one of the major concerns recently. Around 45 million people are suffering from this disease. is a degenerative brain with an unspecified cause and pathogenesis which primarily affects older people. The main Dementia, progressively damages cells. People lost their thinking ability, reading many more A machine learning system can reduce problem by predicting aim to recognize Dementia among various patients. This paper represents result analysis regarding detecting...

Solar radiation is the energy or we get from sun, time-varying data. plays a vital role in various sectors. With better prediction, performances these sectors can be enhanced. In this work, proposed system to forecast solar using Neural Networks. Meteorological data five different cities of Bangladesh were used. The values for any day meteorological previous day. Three networks trained data, which are Recurrent Network (RNN), Long Short-Term Memory (LSTM), and Gated Unit (GRU). Also,...

This paper presents the design and implementation of a health monitoring system using Internet Things (IoT). In present days, with expansion innovations, specialists are always looking for innovative electronic devices easier identification irregularities within body. IoT-enabled technologies enable possibility developing novel noninvasive clinical support systems. care system. particular, COVID-19 patients, high blood pressure diabetic etc., in rural area country, such as Bangladesh, do not...

This COVID-19 pandemic is so dreadful that it leads to severe anxiety, phobias, and complicated feelings or emotions. Even after vaccination against Coronavirus has been initiated, people have become more diverse complex, our goal understand unravel their sentiments in this research using some Deep Learning techniques. Social media currently the best way express emotions, with help of it, specifically Twitter, one can a better idea what trending going on minds. Our motivation for sentiment...

This paper finds digital education as one of the most popular means due to unexampled days caused by COVID-19 pandemic across globe. One tragedies epidemic, beneath death circle and economic cost, is human cost on our students their education. As virus spreading country, more than 90% enrolled were affected some kind limitation posed educational institutions, with a billion impacted around world. The miniature-term fight versus about health. But its lengthy-term effects can only be...

During the ongoing COVID-19 pandemic, Internet of Things- (IoT-) based health monitoring systems are potentially immensely beneficial for patients. This study presents an IoT-based system that is a real-time utilizing measured values body temperature, pulse rate, and oxygen saturation patients, which most important measurements required critical care. has liquid crystal display (LCD) shows level can be easily synchronized with mobile application instant access. The proposed method uses...

Chronic kidney disease (CKD) is a major burden on the healthcare system because of its increasing prevalence, high risk progression to end-stage renal disease, and poor morbidity mortality prognosis. It rapidly becoming global health crisis. Unhealthy dietary habits insufficient water consumption are significant contributors this disease. Without kidneys, person can only live for 18 days average, requiring transplantation dialysis. critical have reliable techniques at predicting CKD in early...

Brain tumors are the most common and aggressive illness, with a relatively short life expectancy in their severe form. Thus, treatment planning is an important step improving patients’ quality of life. In general, image methods such as computed tomography (CT), magnetic resonance imaging (MRI), ultrasound images used to assess brain, lung, liver, breast, prostate, so on. X‐ray images, particular, utilized this study diagnose brain tumors. This paper describes investigation convolutional...

We live in a world where people are suffering from many diseases. Cancer is the most threatening of them all. Among all variants cancer, skin cancer spreading rapidly. It happens because abnormal growth cells. The increase ultraviolet radiation on Earth’s surface also helping spread every corner world. Benign and malignant types common cancers suffer from. People go through expensive time-consuming treatments to cure but yet fail lower mortality rate. To reduce rate, early detection its...

Generation Z is a data‐driven generation. Everyone has the entirety of humanity’s knowledge in their hands. The technological possibilities are endless. However, we use and misuse this blessing to face swap using deepfake. Deepfake an emerging subdomain artificial intelligence technology which one person’s overlaid over another face, very prominent across social media. Machine learning main element deepfakes, it allowed deepfake images videos be generated considerably faster at lower cost....

An electronic health record (EHR) is a technology that allows you to keep track of your information. It keeps computerized records several healthcare organizations. Records are exchanged via enterprise-wide data systems as well other networking technologies and exchanges. Patients nowadays expect immediate access their However, the sector comes with data, there worries about privacy security medical patients. As result, blockchain-based solution can assist in resolving this issue. The...

It can be challenging for doctors to identify eye disorders early enough using fundus pictures. Diagnosing ocular illnesses by hand is time-consuming, error-prone, and complicated. Therefore, an automated disease detection system with computer-aided tools necessary detect various Such a now possible as consequence of deep learning algorithms that have improved image classification capabilities. A deep-learning-based approach targeted presented in this study. For study, we used...

Bangladesh should have owned a decentralized medical record server. We face lot of issues, such as doctor’s appointments, report organization in one spot, and follow-ups. People now bring large number papers to the chamber. They carry prescriptions, reports, X-ray files, among other things. It complicates everyone’s life result. All reports must be reviewed by doctors on regular basis. is difficult read old basis, patients do not receive correct medications or treatment. Doctors also find it...

One of the most prevalent and leading causes cancer in women is breast cancer. It has now become a frequent health problem, its prevalence recently increased. The easiest approach to dealing with findings recognize them early on. Early detection facilitated by computer-aided diagnosis (CAD) technologies, which can help people live longer lives. major goal this work take advantage recent developments CAD systems related methodologies. In 2011, United States reported that one out every eight...

This research paper focuses on Acute Lymphoblastic Leukemia (ALL), a form of blood cancer prevalent in children and teenagers, characterized by the rapid proliferation immature white cells (WBCs). These atypical can overwhelm healthy cells, leading to severe health consequences. Early accurate detection ALL is vital for effective treatment improving survival rates. Traditional diagnostic methods are time-consuming, costly, prone errors. The proposes an automated approach using computer-aided...

Efficient generation of power at present is crucial as wastage a global concern. Power factor measures system's efficiency and an important aspect in improving the quality supply. In most systems, poor resulting from increasing use inductive loads often overlooked. A correction unit would allow system to restore its close unity for economical operation. The advantages correcting include reduced losses, increased load carrying capabilities, improved voltages much more. aim this project build...

The COVID-19 pandemic has wreaked havoc in the daily life of human beings and devastated many economies worldwide, claiming millions lives so far. Studies on have shown that older adults people with a history various medical issues, specifically prior cases pneumonia, are at higher risk developing severe complications from COVID-19. As pneumonia is common type infection spreads lungs, doctors usually perform chest X-ray to identify infected regions lungs. In this study, machine learning...

The manufacture of raw materials to deliver the product consumer in a traditional supply chain system is manual process with insufficient data and transaction security. It also takes significant amount time, making entire procedure lengthy. Overall, undivided ineffective untrustworthy for consumers. If blockchain smart contract technologies are integrated into management systems, security, authenticity, time management, processes will all be significantly improved. Blockchain revolutionary,...

The 21st Century is all about technology. People are open to accepting new technologies as the need for modernization increasing every single day. Blockchain one of those and revolutionary that will have a significant impact on market industry. In layman’s terms, data structure stores transactional records while also ensuring security, transparency, decentralization. There digital signature transaction blockchain, which proves authenticity blockchain. Blockchain, stored tamper-proof cannot...

Traditional insurance policy settlement is a manual process that never hassle-free. There are many issues, such as hidden conditions from the insurer or fraud claims by insured, making rough. This also consumes significant amount of time makes very inefficient. whole scenario can be disrupted implementation blockchain and smart contracts in insurance. Blockchain innovative contract technology provide immutable data storage, security, transparency, authenticity, security while any transaction...

The advancement of artificial intelligence is reshaping various sectors our lives including disease identification. Today, dermatologists depend greatly on digitalized output patients' results to be absolutely confirm about skin cancer. In recent times, many researches based machine learning pave the way classify stages cancer in clinicopathological practice. this paper, we have tried evaluate chance deep algorithm namely Convolutional Neural Network (CNN) detect classifying benign and...

Obstetricians often utilize cardiotocography (CTG) to assess a child's physical health throughout pregnancy because it gives data on the fetal heartbeat and uterine contractions, which helps identify whether fetus is pathologic or not. have traditionally analyzed CTG artificially, takes time unreliable. As result, creating classification model essential, as may save not only but also medical resources in diagnosis process. Machine learning (ML) currently extensively used fields such biology...