International Journal of Multidisciplinary Research and Explorer

  The purpose of the review paper is to review the use of the IoT-based real-time health monitoring systems and CNN -LSTM deep learning models to detect diseases in their early stages. We have the intention to explore how the IoT technologies and hybrid deep-learning structures can be useful in improving the continuous patient monitoring and predictive healthcare outcomes. The study design will comprise a critical re...

-Joining dissimilar pure copper (Cu) and magnesium (Mg) alloy AZ31B through friction stir welding (FSW) presents considerable metallurgical challenges due to contrasting thermo physical properties and brittle intermetallic compound formation at the weld interface. This study examines FSW of Cu/Mg AZ31B butt joints using a tool rotational speed of 1070 rpm, welding speed of 31.5 mm/min, tilt angle of 2°, and a 1.5 mm...

Air quality prediction remains a critical challenge due to the complex spatiotemporal dependencies inherent in pollutant data. We propose a transformer-based encoder-decoder model to address this challenge, focusing on accurate and robust air quality index (AQI) forecasting. The proposed method processes historical pollutant measurements, including PM2.5, PM10, and NO2, through a multi-head self-attention mechanism t...

While economic growth and globalization have heightened ESG concerns, lack of clarity remains regarding whether ESG governance drives economic value across different industries. This study clarifies this ambiguity, by showing ESG oriented companies do drive economic value, but the values differ depending on the industries the companies belong to.  The “one-size-fits-all" ESG metrics fail to account for industry speci...

Low back pain (LBP) is a major health, social, and economic concern worldwide. It was once believed to be mainly caused by nerve compression from a degenerated intervertebral disc (DID), but it’s now seen as a complex condition involving mechanical, inflammatory, compressive, immune, and degenerative factors. Even with medical progress, treatment remains tough, as many options offer limited relief or cause unwanted s...

Artificial Intelligence (AI) has rapidly emerged as a transformative change in higher education, reshaping how students learn, solve problems, and engage with academic tasks. From generating content and assisting with coding to providing personalized learning support, AI-powered tools are increasingly becoming integral part to the academic experience. AI tools such as ChatGPT, DeepSeek, Grammarly, Claude are signific...

This study explores the risks associated with posting often on Facebook and exposes the security threat posed by the use of smart phones in making one’s life vulnerable. By applying architectural and criminological theories such as Routine Activity Theory and Context Collapse, this paper explores how nine specific threat vectors have been created. It is observed that the creation of large sets of daily activity infor...

The integration of technology in education has enhanced teaching practices and learner participation in classrooms. This study examined the use of multimedia-assisted instruction and its effectiveness in promoting learner engagement among public elementary school teachers in Castillejos District, Zambales. Specifically, it determined the extent of multimedia-assisted instruction use and its effectiveness in behaviora...

This paper looks into the awareness & attitude of the public for green tax as an instrument to popularize the concepts of circular economy and sustainable development in Bangalore. Environmental tax is a double edged sword, it discourages environmentally harmful activities and it encourages environmentally friendly consumption and production habits. 101 respondents were selected and data were collected through a...

Conventional education systems have a standardized teaching methodology which fails to serve the needs of the different students when it comes to their unique learning requirements. The disparities in the level of understanding, previous knowledge, and the speed at which the learner perceives are usually ignored, and they may lead to diminished interest and disproportionate learning results. In order to meet this cha...

Parkinson's disease (PD) is a neurological movement disorder characterized by a slow, progressive worsening of symptoms, such as a tremor in one hand and a generalized sense of stiffness. More than 6 million individuals throughout the globe are afflicted. In the early stages of the illness, when symptoms are hard to identify, there is currently no convincing finding for this condition by non-specialist practitioners....

Artificial intelligence (AI) has recently gained prominence in healthcare. It is increasingly applied in disease detection and clinical decision-making. Although the results generated by such applications are highly accurate, many of them exhibit limited transparency. Most often, they operate as a "black box," i.e., while their output invisible, no clear explanation exists for how a particular result was reached. Suc...

this study proposes an innovative solution for an automated system that will allow the contactless charging of electric vehicles with enhanced safety and control. The system integrates solar energy with battery backup (hybrid energy) that will supply continuous charging to the vehicle. The system is controlled by an Adriano that ensures the seamless switching of the energy sources, depending on the environmental cond...

The National Education Policy (NEP) 2020 aims to reform India's education system by introducing progressive changes. However, its success depends on stakeholder awareness and acceptance. This study investigates parental awareness and perception of NEP-2020, given that parents play a crucial role in their children's education. Using a quantitative approach, data was collected from 300 parents through a structured surv...

Effective inventory management is crucial for businesses dealing with perishable or deteriorating goods. This research article examines various inventory models that account for time-dependent demand, price fluctuations, and product deterioration. By synthesizing findings from multiple studies by Sharma and colleagues (2015–2024), this paper explores key strategies for optimizing stock levels, minimizing costs, and i...

The global COVID-19 pandemic, resulting from the infection by the SARS-CoV-2 virus, is emphasizing the urgent need for rapid and accurate diagnostic methods for the control of the infection spread. Lab-based testing methods can take time, leading to diagnostic delays and a high risk of transmission. Fuzzy Logic-Based Expert System in Early Detection of COVID-19 Symptoms and Risk Assessment in Real-Time. We provide a...

Nowadays, as technology is advancing to previously unheard-of levels, every company and organization is finding it difficult to balance inventory and customer expectations. Every organization relies heavily on sales, and being able to predict the future helps in making strategic and intelligent sales decisions. The majority of businesses still struggle with revenue forecasting because it is usually the first step in...

Background: Chronic low back pain (CLBP) with radiculopathy is a leading cause of disability worldwide. Conventional treatments generally have limited efficacy, high costs, and associated adverse effects. Objective: To evaluate the efficacy and safety of high-and low-frequency TENS (HLF-TENS) with paravertebral ozone therapy (POT)in chronic low back pain (CLBP) and radiculopathy. Methods: This non-randomized pilot st...

One of the main purposes of this work is to provide a path planning framework for IoT-enabled autonomous vehicles through the use of RRTs and A*. These were designed to maximize actual real-time navigation and decision-making in very dynamic and complex situations considering obstacles and uncertainties in the environment. In cases that have unknown or nonregular barriers, the RRT algorithm is employed to visualize t...