Music, a universal language and cultural cornerstone, continues to shape enhance human expression connection across diverse societies. This study introduces SpectroFusionNet, comprehensive deep learning framework for the automated recognition of electric guitar playing techniques. The proposed approach first extracts various spectrograms, including Mel-Frequency Cepstral Coefficients (MFCC), Continuous Wavelet Transform (CWT), Gammatone capture intricate audio features. These spectrograms...

This research contributes novel insights to the field of power management in real-time embedded systems, specifically through application dynamic voltage frequency scaling (DVFS) for CMOS-based devices. It advances beyond existing literature by critically analyzing and offering innovative solutions power-aware scheduling, a key yet underexplored aspect energy efficiency. The study challenges traditional approaches focused on increasing battery capacity, proposing instead more sustainable,...

Air pollution has become a major global concern, as it affects the health and well-being of millions people worldwide. One advancements in Wireless Sensor Networks (WSN) for air monitoring is integration cost effective, low-power sensors with wireless communication technologies. This led to development low-cost, portable easy-to-deploy quality systems that can be deployed remote areas monitor quality. The paper surveys recent using sensor networks. WSN comprised network environment collect...

The multisensor-based embedded system monitors a few sets of sensing parameters continuously and simultaneously with different data rates. These systems are highly required for remote monitoring. Constantly monitoring multisensor leads to high energy budget, limiting resource-constrained device usage. Hence, it is necessary develop an energy-efficient signal quality-aware wireless sensor network controlling Agro-Industrial based applications. A logger designed using ESP-NOW protocol...

Day-ahead electricity tariff prediction is advantageous for both consumers and utilities. This article discusses the home energy management (HEM) scheme consisting of an predictor appliance scheduler. The random forest (RF) technique predicts a short-term next 24 hours using past three months information. provides information to schedule appliances at most preferred time slot consumer with minimum tariff, aiming high comfort low bill consumers. proposed approach allows user be aware their...

Epilepsy is a persistent, non-communicable brain illness that affects around 50 million individuals worldwide. The repercussion of an epileptic seizure on the patient might be severe. People who encounter seizures typically find quick reaction from medical services crucial since it can reduce harmful effects. Arduino Nano board used in this design to help collect accelerometer data. Edge Impulse, embedded machine-learning platform, receives Impulse processes data and determines if sample...

Disaster management is essential for mitigating the widespread effects of natural and human-induced disasters, such as loss life, property damage, economic disruptions. Strategies including hazard assessments, preparedness, international collaboration can help lessen their impact. Technology plays a pivotal role in disaster management, with innovations like Internet Things (IoT) enhancing situational awareness response capabilities. This paper explores application LoRa low-power wide-area...

A supermarket is a place where customers go to purchase and pay for their daily necessities. As result, calculating the number of things sold generating bill consumer required. Generally shopping in mall very tedious right items needed are difficult find. After that, standing line all exhausting. For this, developed model here would be solution which smart cart system that keep track purchased products, as well payment, done using RFID (Radio Frequency Identification). In this paper,...

The atmospheric conditions impair the quality of underwater pictures. Motion blur induced by imaging device or movement object is one most significant issues in images. With Artificial Intelligence and Robotics industries skyrocketing dominating market lately, researchers have utilized these technologies to explore research beyond beneath surface earth them being image analysis processing. But process very complex with a lot challenges ahead needed be tackled. Parameters blurred picture must...

The paper details various machine learning techniquesto identify the best technique to predict consumable water.Being most essential natural element, identifying drinkable water amidst deteriorating qualities of is yet a worrisome issue.The versatility employing techniques and algorithms in solving realworld problems proves bring efficient results.This comparative study using like -Logistic Regression, Decision Trees (DT), Random Forest (RF), XGBoost, Gradient Descent, Support Vector Machine...

Under demand response enabled demand-side management, the home energy management (HEM) schemes schedule appliances for balancing both and within a residence. This scheme enables user to achieve either minimum electricity bill (EB) or maximum comfort. There is always added burden on HEM obtain least possible EB with However, if time window that contains comfortable slots of day an appliance operation, identified, cost-effective schedule-pattern gets generated from these windows autonomously,...