One of the main factors causing illness epidemics, particularly in developing nations, has historically been overfilled dumpsters. Since the idea of Internet of Things (IoT) technology has come to pass, the area of medical research—along with its new technologies—is developing quickly. By controlling...

Testing for COVID is necessary for the battle against the pandemic, especially considering the most recent outbreak. Testing for COVID is carried out in enclosures that provide a safe setting for the operation. Due to the enormous number of samples brought in for testing, this is a time-consuming process...

The human body is an intricate framework coordinated at different levels, cells, tissues, and organs that contribute to 11 major organ frameworks. The functioning of such a complicated system in the proper manner is assessed as healthy. Conventional medicine cannot meet everyone’s needs due to population...

Human action recognition is a critical aspect of computer vision research and has various practical applications. In this paper, we focus on a specific type of action recognition, yoga pose recognition, and propose a computer vision-based model using deep learning. Our proposed model is a hybrid of Convolutional...

The detection of tumors is the most difficult aspect of quantitative brain tumor evaluation. Magnetic Resonance Imaging (MRI) has gained popularity in recent years due to its non-invasive and powerful soft tissue contrast. MRI is a frequent imaging method used to detect brain cancers. The MRI produces...

A crucial stage in the categorization of brain tumors for medical diagnosis and treatment. Magnetic resonance imaging (MRI) is routinely used to distinguish brain tumors; however, manual interpretation of the MRI data is arbitrary and time-consuming. In this work, we used transfer learning and the ResNet50...

Ingredients play a very crucial role in any dish, as they determine the flavor, taste, and texture of the dish, and they can impact the nutritional value of the dish. as if a dish includes many high-quality ingredients and protein sources that can provide necessary nutrients, vitamins, and minerals for...

Lung cancer is the most common and dangerous cancer worldwide. An automatic detection system is the need of the hour for early diagnosis. Machine learning classifiers often encounter outliers in the extracted features. Motivated by this, the main aim of this study is to develop an outlier free automated...

Currently the application of artificial intelligence for nanorobotics gains significant attention worldwide. The effective convergence of this technique helps in earlier diagnosis and treatment of various harmful diseases. Deep vein thrombosis also called as blood clot is a serious healthcare concern...

In the modern world, diabetes is a very scary problem. It is a long-term condition that can lead to a number of health problems. It is a grouping of illnesses that cause blood sugar to be too high. Machine learning is being used more and more in the field of health care because of how quickly it is improving....

This research paper proposes a novel approach for minimizing makespan and energy consumption in workflow scheduling for cloud computing systems using particle swarm optimization (PSO). Workflow scheduling is a critical task in cloud computing, where multiple tasks are assigned to each available virtual...

Vehicular ad-hoc networks (VANETs) are extensively utilized for intelligent mobility and roadside advertising. In VANETs, vehicles equipped with wireless sensors function as mobile nodes capable of communication in both infrastructure and ad-hoc modes. Clustering vehicles within VANETs enhances resource...

The performance of next-generation wireless systems (5G/6G and beyond) at the physical layer is primarily driven by the choice of digital modulation techniques that are bandwidth and power-efficient, while maintaining high data rates. Achievable rates for Gaussian input and some finite constellations...

This paper presents a single-element antenna designed using a jute substrate material. Measured dielectric parameters of the jute material are considered to design the antenna. The shape of the antenna element is considered circular. A circular-shaped defective structure is introduced at the upper portion...

Over the past few decades, the need for wireless connectivity has increased dramatically. A new Wireless Technology known as 6th generation system developed with full AI support is expected to use between 2027 and 2030. Higher system capacity, much higher data rate, much lower latency, higher security,...

As the blockchain architectures and communities grow, blockchain networks frequently face scenarios where the user must vote to make decisions. However, a natively implemented voting system on current blockchain systems is useless. The decision-making process is then either assigned to many network members...

The hybrid TLPD-ALB scheduling algorithm is a commonly used approach in cloud computing, but it fails to meet the multi-objective requirements for effective load balancing. Although its primary aim is to distribute tasks among available resources and minimize relative imbalance, it is insufficient to...

Sensor nodes (SN) have limited capabilities of coverage and connectivity. Relay nodes ensure backbone connectivity between SNs and base station (BS). Proper placement of relay nodes (RNs) has a major role in ensuring maximum coverage and connectivity in cluster-based wireless sensor networks (WSNs)....

Air Pollution has surged due to decades of swift industrialization and urbanization. With a majority of today’s population spending most of their time indoors and the architecture of buildings made secluded from the outside environment, the importance of adequate indoor environment conditions has become...