Smart manufacturing systems are growing based on the various requests for predicting reliability and quality of equipment. Many machine learning techniques being examined to that end. Another issue which considers an important part industry is data security management. To overcome problems mentioned above, we applied integrated methods blockchain secure system transactions handle a dataset fake dataset. manage analyze collected dataset, big were used. The was implemented in private...

The emergence of biomedical sensor devices, wireless communication, and innovation in other technologies for healthcare applications result the evolution a new area research that is termed as Wireless Body Area Networks (WBANs). WBAN originates from Sensor (WSNs), which are used implementing many systems integrated with networks devices to ensure remote monitoring. network wearable implanted or on human body. main aim collect vital signs/physiological data (like ECG, body temperature, EMG,...

One of the essential points food manufacturing in industry and shelf life products is to improve traceability system. In recent years, mechanism has become one emerging blockchain applications order anti-counterfeiting area’s quality. Many systems have a low level readability, scalability, data accuracy. Similarly, this process complicated supply chain needs lot time for processing. The system creates new ontology deal with these issues. paper, machine learning-based (BMLFTS) proposed...

E-learning is a popular area in terms of learning from social media websites various and contents for every group people this world with different knowledge backgrounds jobs. sites help users such as students, business workers, instructors, those searching educational institutions. Excluding the benefits system, there are challenges that face online platforms. One important true information right content based on these resources, search results quality. This research proposes virtual...

The battery management system in an electric vehicle must be reliable and durable to forecast the state of charge. Considering that degradation is generally nonlinear, charge (SOC) estimation with lower can challenging. Lithium-ion batteries are highly dependent on knowledge aging, which usually costly or not available online. In this paper, we suggest lithium-ion systems by using extreme gradient boosting algorithm for vehicles application, acquires nonlinear relationship model offline...

Cryptocurrency is one of the famous financial state in all over world which cause several type risks that effect on intrinsic assessment risk auditors. From beginning growth cryptocurrency gives business with wide term presentation money laundering. In institution supports such as anti-money laundering, banks and secrecy proceed a specialist risk, manager bank officer compliance has provocation for related transaction through users who hide illegal funds.In this study, Hierarchical Risk...

The growth of data production in the manufacturing industry causes monitoring system to become an essential concept for decision-making and management. recent powerful technologies, such as Internet Things (IoT), which is sensor-based, can process suitable ways monitor process. proposed this research integration IoT, Machine Learning (ML), system. environmental are collected from IoT sensors, including temperature, humidity, gyroscope, accelerometer. types generated sensors unstructured,...

The modern industry, production, and manufacturing core is developing based on smart (SM) systems digitalization. Smart manufacturing’s practical meaningful design follows data, information, operational technology through the blockchain, edge computing, machine learning to develop facilitate system. This process’s proposed system considers integration of approaches. Edge computing makes computational workload balanced similarly provides a timely response for devices. Blockchain utilizes data...

Social media network is one of the important parts human life based on recent technologies and developments in terms computer science area. This environment has become a famous platform for sharing information news any topics daily reports, which main era collecting data transmission. There are various advantages this environment, but another point view there lots fake that mislead reader user needed. Lack trust-able real social huge problems system. To overcome problem, we have proposed an...

The popularity of cryptocurrency in recent years has gained a lot attention among researchers and academic working areas. uncontrollable untraceable nature offers attractions to the people this domain. financial market is non-linear disordered, which makes prediction exchange rates challenging difficult task. Predicting price based on previous inflations research. Various machine learning algorithms have been applied predict digital coins' rate, but study, we present rate applying XGBoost...

With the spread of COVID-19, “untact” culture in South Korea is expanding and customers are increasingly seeking for online services. A recommendation system serves as a decision-making indicator that helps users by suggesting items to be purchased future exploring symmetry between multiple user activity characteristics. plethora approaches employed scientific community design systems, including collaborative filtering, stereotyping, content-based etc. The current paradigm systems favors...

Information sharing is one of the huge topics in social media platform regarding daily news related to events or disasters happens nature its human-made. The automatic urgent need identification and posts information delivery with a short response are essential tasks this area. key goal research developing solution for management emergency using platforms as core component. This process focuses on text analysis techniques improve authorities terms filter automatically gathered support relief...

During recent developments, cryptocurrency has become a famous key factor in financial and business opportunities. However, the investment is not visible regarding market's inconsistent aspect volatility of high prices. Due to real-time prediction prices, previous approaches price doesn't contain enough information solution for forecasting changes. Based on mentioned problems prediction, we proposed machine learning-based approach institution. The system contains blockchain framework secure...

Efforts to decarbonize the world have shown a quick increase in electric vehicles (EVs), limiting increasing pollution. During this transportation revolution, lithium-ion batteries (LIBs) play vital role storing energy. To determine range of an vehicle (EV), state charge and health (SOH) battery pack is essential. Access high-quality data on parameters crucial challenge for researchers working energy storage domain due primarily confidentiality constraints manufacturers EVs. This paper...

Traffic congestion is a significant issue in many countries today. The suggested method novel control based on multiple intersections considering the kind of traffic light and duration green phase to determine optimal balance at by using fuzzy logic control, for which should be adaptable unchanging behavior time. It reduce volume transport, average waits each vehicle, collisions between cars controlling this response typical time randomness conditions. proposed investigated sampling...

Pregnancy and early childhood are two vulnerable times when immunological plasticity is at its peak exposure to stress may substantially raise health risks. However, separate the effects of adversity during lifetime from those across entire lifespan, we require deeper phenotyping. Stress one challenges which everyone can face with this issue. It a type feeling contains mental pressure comes daily life matters. There many research investments regarding problem overcome or control...

Social media evidence is the new topic in digital forensics. If social information correctly explored, there will be significant support for investigating various offenses. Exploring to give government potential proof of a crime not an easy task. Digital forensic investigation based on natural language processing (NLP) techniques and blockchain framework proposed this process. The main reason using NLP process data collection analysis, representations every phase, vectorization feature...

The development of information and communication technology in terms sensor technologies cause the Internet Things (IoT) step toward smart homes for prevalent sensing management resources. gateway connections contain various IoT devices representing security based on centralized structure. To address purposes this system, blockchain framework is considered a home to overcome possible attacks apply Deep Reinforcement Learning (DRL). proposed blockchain-based approach carefully evaluated...

Metamaterial Antenna is a special class of antennas that uses metamaterial to enhance their performance. size affects the quality factor and radiation loss antenna. can overcome limitation bandwidth for small antennas. Machine learning (ML) model recently applied predict antenna parameters. ML be used as an alternative approach trial-and-error process finding proper parameters simulated The accuracy prediction depends mainly on selected model. Ensemble models combine two or more base produce...

In an era where visual communication is important, understanding the key components that make climate change videos effective essential for improving awareness and driving meaningful actions. This research presents overview of YouTube’s educational content on change, aiming to identify elements contribute effectiveness these videos. We used a questionnaire targeting bachelor’s master’s students learn about their preferences regarding available beliefs concerning use YouTube as platform. A...

In the era of information explosion, recommendation systems play a crucial role in filtering vast amounts content for users. Traditional models leverage knowledge graphs, sentiment analysis, social capital, and generative AI to enhance personalization. However, existing still struggle adapt dynamically users’ evolving interests across multiple domains real-time. To address this gap, cross-domain adaptive system (CDARS) is proposed, which integrates real-time behavioral tracking with...

In the digital age, climate change content on social media is frequently distorted by misinformation, driven unrestricted sharing and monetization incentives. This paper proposes a novel AI-based framework to evaluate data quality of climate-related discourse across platforms like Twitter YouTube. Data defined using key dimensions credibility, accuracy, relevance, sentiment polarity, pipeline developed transformer-based NLP models, classifiers, misinformation detection algorithms. The system...

As society grows, the urbanized population proliferates, and urbanization accelerates. Increasing traffic problems affect normal process of city. The urban transportation system is vital to effective functioning any Science technology are critical elements in improving performance areas. In this paper, a novel control strategy based on selecting type light duration green phase achieve an optimal balance at intersections proposed. This should be adaptable fixed behavior time randomness...