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Tuberculosis remains a significant global problem. The modification in smart technology (ST) invention generates novel chances to reform tuberculosis (TB) controlling. This work explores the potential of ST for filtering MTB diagnostics and therapy. ST includes telemedicine, mobile health uses (mHealth), wearable devices (WD) and data analytical that deliver many options of improving TB control. T...Show More
Artificial intelligence (AI)'s role in biofuels provides an emerging and significant convergence at the relation of advanced technology and energy produced from renewable sources. The various aspects of biofuel production are being revolutionized by AI's data analytics, machine learning, and modelling and prediction abilities, from maximizing biomass utilization and increasing fuel production to e...Show More
This check examines the evolution of machine studying (ML) strategies in forecasting hydrological droughts, focusing at the Standardized Runoff Index (SRI) in the Han River basin, South Korea. Given the dramatic climatic shifts witnessed throughout this era, our research evaluates the general performance of six ML models—Decision Trees (DT), Support Vector Machines (SVM), Deep Learning Neural Netw...Show More
Vehicular traffic networks (VANETs) are an important part of modern transportation systems, focusing on critical applications such as collision avoidance, lane change assistance, and traffic recognition. However, data distribution in VANETs is very challenging, especially due to the unique characteristics of wireless communications and the dynamic traffic environment. In this context, packet deliv...Show More
One of the most critical issues of our day is global warming, which is advancing relentlessly and has serious repercussions for the environment and economy. Individual nations are dealing with different effects of global warming at the national level, such as rising temperatures, changing weather patterns, and extreme weather occurrences. There has never been a time when it has been more important...Show More
An evolving field that blends technology and environmental sustainability is Internet of Things (IoT)-based smart e-waste management. The IoT is a paradigm shift that uses linked devices and sensors to collect real-time data and make e-waste management procedures more effective and sustainable. The main elements and uses of IoT in managing e-waste are discussed in this article, including inventory...Show More
Due to India's rapid population growth and widespread interest in food, agriculture plays a fundamental role. Infections caused by bacteria, infections, and organisms are a severe factor in decreased collect yield. One of the most important and fundamental activities in the area of cultivation is the analysis of plant diseases (PD). PD tracking, surveillance, or medication by hand is a very challe...Show More
Worldwide, coronary artery disease (CAD) is one of the main causes of illness and mortality. Preventive measures can be aided by early detection and accurate CAD prediction, which can also considerably improve patient outcomes. Machine-learning techniques have become effective tools for CAD diagnosis and prediction in recent years. By utilizing vast datasets and sophisticated algorithms, these tec...Show More
The medical profession currently faces a number of difficult problems, such as rising medicine and therapy costs, and society requires particular major reforms in this field. Pharmaceutical goods may now be produced with personalized pharmaceuticals that have the needed dosage, release characteristics, and other components based on the needs of each patient. The application of machine learning (ML...Show More
The COVID-19 pandemic has placed enormous demands on the world's healthcare systems, needing creative methods for the early and precise diagnosis of sickness. In this review study, we investigate the application of deep learning methods for COVID-19 prediction from lung scans. Deep learning methods, in particular convolutional neural networks (CNNs), have demonstrated remarkable promise in separat...Show More
A number of methods, like magnetic resonance imaging (MRI), biopsies, CT scans, and others, can be used to find brain tumours (BT). One of the most effective tools available today for identifying BT is MRI. The MRI scan is used to identify BT that are well along in their development. The procedure of segmentation is crucial for removing questionable areas from intricate medical imaging. A benefici...Show More
Dermatological disorders (DD) are widespread health issues in nations worldwide. The dangers of infections are hidden, and may lead to both mental and physical health problems. In severe circumstances, it might even result in skin cancer. Therefore, one of the most difficult jobs in medical image processing is to diagnose DD from clinical photographs. Additionally, diagnosing DD manually by medica...Show More