ICIMMI

Sentiment analysis is used to determine sentiments in text. Light Gradient Boosting Machine is used for efficiency and scalability but to understand the deep context of text, Long Short-Term Memory is preferred. Therefore, this paper first finds a ...

The automobile industry is a crucial sector of the economy, contributing significantly to employment and economic growth. One of the major challenges faced by this industry is the problem of price escalation, which can affect both consumers and ...

Malware, malicious software designed to infiltrate and compromise computer systems, poses an ever-growing threat in today's interconnected world. This comprehensive review delves into the diverse landscape of malware detection techniques. We categorize ...

Voice-selective sound processing, focusing specifically on the extraction of singular audio signals from multifaceted soundscapes, has rapidly gained prominence in a diverse range of applications from health diagnostics to contemporary smart home ...

Over the decades, diabetes has proven to be a chronic disease, causing significant impact on individuals and healthcare systems globally. This disease increases the threat of diseases like cardiovascular illness, blindness, and may even cause early ...

Crop yield prediction plays a crucial role in agricultural management and decision-making processes. Traditional approaches to crop yield prediction often face limitations in terms of accuracy and robustness due to the complex and dynamic nature of ...

The entire body depends on the heart to supply plasma to every part of it. Heart disease is diagnosed using conventional medical procedures (like angiography), which come with a greater price tag and serious health hazards. Previously, a range of ...

This research presents a comprehensive study on predicting the thermal conductivity of nanofluids using an artificial neural network (ANN) model. The ANN model incorporates hyperparameter tuning, including batch size and number of epochs, to optimize its ...

In recent decades, artificial intelligence (AI) has arisen as a crucial and influential factor in the fields of healthcare and medicine, with its origins tracing back to the 1970s. Unlike its initial rule-based predecessors, contemporary AI utilizes ...

Enhancing productivity is a core objective of any organization whether it is manufacturing or service one. Several factors both technological and human related are responsible for an improved performance. Beyond continuous improvement in process, sound ...

Shop floor control is often challenging due to several methodologies being adopted and techniques being implemented for accomplishing high productivity and good quality. In order to plan and execute strategies for continuous improvement, complete ...

Pollution levels have risen over time due to a number of factors, including a rising human population, greater automobile usage, industrialization, and urbanization, all of which have negative consequences for human health. In this work, we will create ...

With numerous businesses offering clients equivalent products, the FMCG (Fast Moving Consumer Goods) industry is very competitive. Retaining client loyalty and encouraging them to return to make product purchases is a big concern for businesses in this ...

Artificial Intelligence has made significant contributions in various aspects and domains of human life, permeating fields such as Education, Healthcare, Economy, Socialization, Security, Agriculture, and Privacy. This research specifically delves into ...

Machine learning (ML) ushered in a new era in healthcare by providing unprecedented opportunities to improve patient health, improve clinical decision making, and improve patient outcomes. This article provides an overview of the far-reaching ...

Machine learning augments business firms by enhancing their business operations and by reduction in costs. It assists business houses to visualize the historical patterns and to envisage future decisions. Machine learning applies algorithms and models to ...

Real Time streaming framework enables the availability of data for users in near real time. For achieving the high throughput, low latency and to avoid loss of any events at runtime, real time streaming frameworks has their own methods to accomplish this ...

The domain of Supply chain has rapidly evolved with the ever-increasing need for managers to optimize the entire network for better customer service and profitability. This research article aims to understand the adoption of Machine learning in the arena ...

Gun and weapon detection is a challenging task that has a wide range of applications in security, surveillance, and law enforcement. In this paper, we present a novel gun and weapon detection system using the YOLOv8 (You Only Look Once) object detection ...

Indeed, the development of future autonomous and intelligent transportation systems depends heavily on vehicular networks. They allow vehicles to connect with one another, with roadside infrastructure, and with centralized control systems. RSUs can store ...

Manufacturers globally faced various challenges in terms of sustainability and continuous production in the past COVID conditions and it showed the importance of redesigning the existing processes. All new manufacturing processes should be designed by ...

The protection of wireless sensor networks is a complex challenge due to the inherent characteristics of the sensors themselves. These sensors are characterized by their low memory capacity, constrained energy resources, and lack of early awareness ...

This paper offers a multi-resolution three-D magnetic resonance imaging (MRI) analysis approach used in prostate cancer imaging. The approach uses stringent pre-processing steps to create a consistent volumetric photo from the MRI scans, which is crucial ...

This paper looks at interference-conscious spectrum allocation in 6G cell networks. A novel dynamic resource sharing a set of rules is proposed, aiming to efficaciously use available stay spectral resources and minimize the interference not unusual to ...

AI is increasingly being implemented into educational institutions, promising greater and more effective outcomes for learning and personalized experiences. However, the fast deployment of AI in the education field raises worries about its unethical ...

Abstract—Cryptographic algorithms are used to maintain the data confidentiality and integrity. In the era of ubiquitous digital communication and information exchange, the security of sensitive data has become a paramount concern. Cryptographic ...

As observed in numerous sectors, forecasting of stock price is one of the most complicated machine learning tasks. According to the study, there are a huge number of elements that influence supply and demand. The technical analysis of numerous tactics ...

Agriculture is one of the most important industries for the country in terms of sustainability and the economy. Agriculture practises must be improved to preserve a sustainable balance because agriculture’s importance and requirement are increasing ...

Drone-based surveillance has arisen as a promising answer for observing and securing open borders in vulnerable gaps and regions. In recent years, researchers have put forth considerable attempts to foster models and frameworks for drone-based ...