Recently, cloud computing has emerged as a predominant technique in the realm of information technology. The increasing demand of cloud computing platform in terms of computing and data storage so that the cloud providers offers numerous data centers present at various locations across the world. These...

Crypto currencies have emerged as a popular investment option in recent years, with Ethereum being one of the most prominent ones. Accurate price prediction of Ethereum can provide valuable insights to investors and traders for making informed decisions. In this study, we utilized two time series prediction...

In today's competitive environment, students need essential skills for opportunities, valuable career connections, and strategic career planning. Our paper proposes an innovative system, EduProgressor, to assist students in their career journey by connecting them with industry experts and facilitating...

In India 80% of the deaths are due to accidents so as to prevent this Vehicle-to-Vehicle Technology has come into existence. This V2V technology not only prevents accidents but also detects them. This V2V is a subset of ITS. V2V is vehicle-to-vehicle communication in which vehicles exchange information...

The growth rate of an agricultural sector is related to its capacity for innovation, and vice versa. Our Analysis is focused to employ various deep learning models to create an efficient Plant Disease Detection and Classification Networks (PDDC-Net).Preprocessing is the process of standardizing dataset...

Computer systems rely heavily on cache memory because it offers a quicker and more effective means of accessing frequently used data. It serves as a buffer between the CPU (central processing unit) and main memory (RAM). Electronic devices’ energy use during standby or idle mode is referred to as standby...

The effective management of parking has become an essential aspect of urban mobility due to the rapid urbanization and the increasing number of vehicles on the streets. This technical document introduces a Smart Parking intelligence (SPI) that aims to address the challenges associated with traditional...

A multiplexer is a combinational logic designed to switch one of multiple input lines to a single common output line. Multiplexer is used in various designs in Very Large Scale Integration and Digital Signal Processing applications. FinFETs are emerging transistors that can work in the nanometre range...

In response to the challenges of identifying ideal candidates in the dynamic job market, this paper introduces an Automated HR Recruitment System utilizing Natural Language Processing (NLP) and machine learning algorithms. The system automates candidate assessments, ensuring efficiency and precision...

The use of live streaming technology has brought about a considerable evolution in the notion of event management and registration procedures. A feature-rich web application called “Event registration management system with live streaming” was created to make managing events, registrations, and participant...

Given the inherent noise and volatility in financial markets, accurate stock market price prediction is still a difficult task. In this work, the Investigation of Long Short-Term Memory (LSTM) models for stock price prediction in the face of varied levels of noise in various historical data time frames...

This research introduces HPCS, a model for a clinical decision support system that makes use of private and public cloud computing. In order to reliably and safely track a patient's vitals, a fog server inside the HPCS architecture uses a basic data mining method. It is possible to securely send...

The proliferation of Nano-sensors linked to wireless electromagnetic Nano-networks has raised the volume of traffic in numerous ways, but it has also opened up a lot of new opportunities for the Internet of Nano-things. When a nano-network is linked to the Internet by micro or nano gateways, it becomes...

Analyzing cyber incident datasets is crucial for enhancing our comprehension of the evolving cyber threat landscape. In present generation many cyber hacking breaches taking place. This Application, Examine diverse cyber-attacks and breaches, analyze the methods employed in these incidents, and explore...

A student monitoring system is an advanced method of preserving security and discipline in educational institutions, particularly during class hours. Students are observed during intracultural and tech fest events hosted by the institutions. Unauthorized student roaming in restricted areas can disrupt...

This project introduces a real-time multiple face recognition and tracking system. It utilizes a lightweight yet powerful deep learning model for face Recognition, ensuring efficient performance. The system incorporates a robust tracking algorithm to maintain face identities across video frames, making...

The study focuses on unauthorized access, which signifies attack into a device or residence without the owner's consent. This research aims to address access issues through the enhancement of established devices. In the existing system, a combination of Convolutional Neural Network (CNN) was utilized,...

Nearly 50 billion linked devices by 2025 will make physical entry to the target system much easier for attackers. The proliferation of embedded devices in mission-critical infrastructure and industrial control systems, as well as the existence of the Internet of Battlefield Things (IoBT), heighten this...

Ensuring road safety is a global priority, with the prompt identification of pavement cracks playing a crucial role in preventing accidents and minimizing infrastructure damage. This study introduces an innovative approach to enhance road safety by employing deep learning techniques for the automated...

The cryptocurrency market is known for its inherent volatility, making accurate predictions a challenging endeavor. In this research study, investigate the efficacy of logistic regression, support vector machines (SVM), decision trees and random forests for the task of Bitcoin price prediction. To address...

When choosing a mode of transportation, people today prioritize comfort above all else, favoring air travel above buses and trains. This paper's predictive skills help to provide anticipatory information to match the changing needs of passengers. This study looks into flight cost prediction by identifying...

Internet of Things (IoTs) devices face power constraints, manufacturers increasingly focus on group communication for their applications. Such communication heavily relies on a dependable, efficient, and verifiable group secret key. Blockchain technology has the power to solve the problems because it...

The rise of Internet of Things (IoT) devices [1] has brought about numerous conveniences, but it has also introduced security challenges, notably the alarming threat of botnets. These malicious networks can compromise a large number of devices, posing significant risks to privacy, data integrity, and...

Today's technological trends are advancing to new levels and showing a diverse array of uses. One of these that has recently grown in prominence is machine learning. The ability of ML to analyze data, learn, make decisions and predictions made it the outstanding technology to be used in plentiful...

Cyber Physical Systems are the talk of the trending globe today, also the security of CPSs in equally important. While CPS has become a part of our life; in form of a health monitoring implant, home automation or a self-driving car, and the advancing adversary attacks that could affect lives by attacking...

The primary crop in the world is the cotton, it is widely grown. India's very important profit crops and fibers, the nation’s agricultural and industrial depend on cotton. It provides The Cotton fiber, a basic raw ingredient, to the cotton textile industry. In India, six million farmers rely on...

An interesting exploration challenge for computer vision experimenters is the automated classification of medical pictures, made possible by recent advances in imaging technology. Medical pictures need to be sorted into their proper categories, and a good classifier is essential for this. With our proposed...

Massive amounts of data are created and collected by data acquisition systems, including SCADA and embedded systems in industrial machines. The data may be analysed by AI algorithms to gain a better understanding of the process and identify any irregularities in the machines. This is a major benefit...

This software delves deep into facial skin analysis, beginning with the capture of images. These images unveil intricate details like wrinkles, pores, spots, and texture, and the software meticulously quantifies these aspects. It then intelligently categorizes your skin, drawing comparisons with peers...

Cyber-attacks on cyber-physical systems can lead to severe consequences, jeopardizing the integrity, availability, and functionality of interconnected physical and digital components. Implications may include disruption of critical services, compromised safety, and potential economic losses. Existing...

In the rapidly advancing landscape of semiconductor technology, Gate-All-Around FET (GAA FET) stands as a promising innovation poised to redefine the capabilities of next-generation electronic devices. This paper investigates the integration challenges and potential opportunities associated with the...

It is essential to classify brain MRI scans as soon as feasible in order to diagnose brain tumours. There are numerous diagnostic imaging modalities that can be used to identify brain tumours. MRI's high-quality picture production makes it a popular choice for this application. The development of...

In light of the increasing complexity of digital security risks, This work aims to utilize machine learning algorithms, particularly Support Vector Machines (SVM) and Naive Bayes, to bolster the identification and mitigation of deceptive practices in digital environments. The utilization of SVM and Naive...

The need for patient-centered electronic records that can store and retrieve the myriad details of a patient’s medical history as documented during treatment has increased dramatically. These records are vital for future care, billing, or treatment. The distributed ledger technology known as Blockchain...

Accurately predicting the onset of cardiovascular disease is one of the most pressing problems in modern medicine. Medical experts devote a great deal of time trying to pin down what's causing this. The goal of using several algorithms, including LR, KNN, SVM, GBC, and the GridSearchCVs, is to forecast...

TETRAD’S represents an exceptional cryptographic algorithm innovated by the authors, with the objective of enhancing the security of data. This algorithm employs matrix representations, XOR operations on binary strings, and customized functions to generate an S-box for encryption. In addition, the algorithm...

The ubiquitous use of IoT (Internet of Things) devices is on the increase. In order for an Internet of Things system to function, it includes all of the necessary hardware, software, networks, sensors, and other parts. The developers of these sensors and devices, however, often omitted details about...

This work follows a systematic approach based on the Software Development Life Cycle (SDLC) to design and develop a garbage collection application using TensorFlow Lite machine learning model in Java within the Android Studio environment. The application addresses waste management challenges by integrating...

Many researchers in the fields of artificial intelligence and human sensing have been attempting to find a solution to the issue of posture detection. Posture recognition for the purpose of remote geriatric health monitoring, including standing, sitting, and walking. Most recent research has used conventional...

This work follows the Software Development Life Cycle (SDLC) to develop a women's safety application using Java within the Android Studio environment. The application integrates audio sensing, machine learning, cloud storage, and geolocation to address women's safety concerns. It utilizes audio...

In today's world, everyone relies heavily on social media. The vast majority of individuals nowadays regularly use social media as their primary means of communication. Social networking site membership is growing exponentially every day, and many users are chatting with people across the world...

The stress experienced by drivers is modelled in this article utilising multiple pre-trained networks. Seven pre-trained networks were utilised to extract features from ECG-based scalogram images in order to automatically increase the detection performance: Google Net, DarkNet-53, ResNet-101, InceptionResNetV2,...

Image denoising finds applications in various fields like remote sensing, photography, biological imaging, astronomy etc. If image is corrupted with single source of noise, then a suitable denoising filter can be used. The major challenge associated with image denoising algorithms is denoising of image...

Advances in digital signal processing technology allow it to be used for ever wider operations. Developers will be challenged to take this processing dominance to the extreme in creating new uses and improving existing ones. Numerous ways to reuse signals and images are now available. Several conformations...

The integration of cloud computing with the Internet of Things, or “cloud IoT,” has the ability to revolutionise numerous industries. While some companies are hesitant to implement such technologies because of security concerns, others choose to disregard such worries and instead integrate the Cloud...