There is a lot of information in the medical services industry. With such big amount data, illness can often be identified, predicted, or reduced. Infections as cardiovascular sickness, malignant development, tumours, and so on pose significant threat to humanity. In this research, we try focus coronary sickness prediction using AI approaches. Coronary frequently predicted. Information pulse, hypertension, diabetes, cigarette smoking collected, these highlights are then displayed for...

This study provides an in-depth bibliometric analysis of the research land-scape Geopolymer concrete using data from two leading scientific databases, Scopus and Web Science. The covers a time span 2010 to 2022 comprehensive evaluation growth, age, impact, collaboration in field. results show that annual growth rate is substantial, with 43.92% increase number documents 15.76% Furthermore, document average age relatively low, 1.59 years 3.11 Science, suggesting this field recent dynamic. also...

Deep learning has developed into a very active and practical research tool that is applied in many domains of image processing. Pre-processing an enhancement the picture data reduces unintentional distortions or boosts certain elements are crucial for subsequent By extracting supporting information from multimodality medical images, fusion approach one most significant beneficial disease investigation tools. Combining photos several imaging methods magnetic resonance computed tomography to...

Blockchain is one of the trending technologies in today's world. All other like IoT, bigdata use blockchain order to provide efficient process. The main aim this project describe importance with help IoT application, platforms and framework. It acted as distributed based technology which can gain more attention This explains different types method gateway process sensor device. By overcoming existing issues blockchain, may enable lots security service that are all explain detail. Different...

The democratic welfare government is equally committed to quality-driven, impartial, and egalitarian education. major contribution of this study examine the problems opportunities posed by incorporation digital technology in classroom via lens Classroom 4.0 (CLSR4) education 4.0. commitment equitable quality investigated, line with Global Agenda SDG 4 goal ensuring comprehensive lifelong for everyone. modern witnessing a clash between traditional teaching methods competency today's...

Brain tumor detection from MRI images is crucial for early diagnosis and treatment. Various clustering algorithms, such as Fuzzy K-means (FKM), C-means (FCM), Self-Organizing Maps (SOM), have been used segmentation, but they face challenges like noise varying image intensities. This study evaluates the performance of Adaptive Moving Map (AMSOM) segmentation in images, comparing it to other methods. We evaluated FCM, FKM, SOM-FKM, AMSOM on a dataset 12 images. Performance was measured using...

Parkinson's disease (PD) is a chronic, non-fatal, and well-known progressive neurological disorder, the symptoms of which often overlap with other diseases. Effective treatment diseases also requires accurate early diagnosis, way that patients can lead healthy productive lives. The main PD signs are resting tremors, muscular rigidity, akinesia, postural instability, non-motor signs. Clinician-filled dynamics have traditionally been an essential approach to monitoring evaluating Disease using...

Knee arthritis is the most frequent ailment among senior population. This illness affects a large number of people worldwide. The biggest issue with joints. higher joints are femur, lower tibia, and patella kneecap. There cartilage loss, which causes difficulty mobility. To diagnose this condition manually, knee scans analysed divided into five groups using Kellgren-Lawrence (KL) approach. process requires extensive healthcare expertise, significant experience, considerable time, yet it...

Lung cancer is one of the leading causes death worldwide. Increasing patient survival rates requires early detection. Traditional methods diagnosis often result in late-stage detection, necessitating development more advanced and accurate predictive models. This paper has proposed a methodology for lung prediction using machine learning Synthetic minority over-sampling technique (SMOTE) used before classification to resolve problem class imbalance. Bayesian optimization enhance model’s...

Plant diseases mostly harm the leaves, resulting in a loss agricultural output's quality and quantity. disease is most common cause of large-scale crop mortality. India country where people's livelihoods are heavily reliant on agriculture. The has caused chaos industry. human eye's perception not quite as sharp it needs to be notice minute variations sick leaf region. It complex process that requires both plant expertise large amount processing time. As result, can detected using machine...

Deep learning (DL) is a new approach that provides exceptional speed in healthcare activities with greater accuracy. In this regard, “convolutional neural network” or CNN and blockchain are two important parts together fasten the disease detection procedures securely. can detect predict diseases like lung cancer help determine food quality, responsible for data. This research going to analyze extension of prediction making safer. algorithm has been trained huge number images by altering...

Abstract The unwanted data obtained through the medical image fusion is main problem in biomedical applications, guided-image surgical and radiology. Stationary Wavelet Transform (SWT) denoted various advantages over conventional representation of imaging approach. In this research article we introduced innovative multi-modality technique for based upon SWT. our approach it disintegrates source images into approximation layers (coarse layer) detail scheme, then applying Fuzzy Local...

Human fingerprints have a wealth of minutiae, or minute characteristics, that can be used as identity marks for fingerprint verification. Our term project is to investigate identification and transaction systems based on minutiae-based matching, which widely utilized in algorithms methodologies. The approach taken this entails extracting minutiae points from photos then doing matching between two fingerprints. If yes, the database queried additional information, information displayed...

Since the last many years customer satisfaction play a significant role to improve hospitality industry. In this article we introduce proposed technology based practical and theoretical framework for feedback management system services enhance business era. Technology such as Artificial intelligence machine learning has important develop scalable smart system. AI solution support responding process online reviews assist using automatically collected data. Sometime is difficult interpret data...

There is an increased use of WSN (Wireless Sensor Networks) in our daily lives with finding application different areas like maintaining health, better quality life scenarios, production monitoring industries, traffic control and various other fields. WSNs have a scope for being incorporated IoT (Internet Things). beneficial foe Web based applications having specific requirements storage computation. This paper gives flexible extensible architecture to integrate IoT. REST internet services...

Big Data is emerging as the most valuable asset for businesses in digital world. enters online world along with privacy concerns attached to it. Technology invasion has adversely affected user's right privacy. However, blockchain technology and big data analytics play vital roles creating a balance between security of enhancement productivity platforms dealing data. there palpable refutation widespread use This paper reviews existing studies focuses on issues landscape. The emphasizes...

Street light is one of component roads and in streets for illuminating during nighttime. Streetlight also plays a significant role meeting the sustainable development goals United Nations by 2030. Currently industry 4.0 enabling technologies has capability to enhance infrastructure streetlight with respect sustainability. In this study, wireless system proposed real-time monitor control from any location through internet connectivity. The study architecture include circuit diagram detailed.

Due to the availability of IT infrastructure and a shift in government advisors' perspectives, cloud-based e-governance is currently becoming reality. To effectively monitor manage governmental policies, this article offers practical strategy that combines capabilities cloud computing social media analytics. The foundation every economic system taxation. Tax evasion, tax calculation, compliance process, return filling are some major regulatory challenges. This problem technology can handle...