Search
77 articles for “Python-based systems”
-
Thermal Steganography: A New Way to Steal Data from Air-Gapped Computers Using Heat and Fan Noise
Abstract: Nowadays, high-security computers are "air-gapped," meaning they are not connected to the internet to prevent hacking. Cybercriminals are increasingly using direct, physical methods to access and take data instead of relying on internet-based attacks. This paper introduces a new cybersecurity threat called Thermal-Secret. Most existing heat-based attacks are very slow and fail if the room temperature changes. To solve this, we developed a Slope-Based method. Instead of looking at how …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article
-
Attendance System Based on Facial Recognition
Abstract: Attendance management is a fundamental aspect of educational institutions and workplaces, ensuring accountability, discipline, and operational efficiency. Traditional methods, such as manual roll calls, RFID cards, and fingerprint scanners, are often time-consuming, error-prone, and susceptible to fraud. This research presents an automated attendance management system utilizing face recognition technology to address these challenges effectively. The proposed system employs OpenCV for real-time image processing, the face recognition library for accurate facial …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 28–34 Read article
-
Modernized Art for a Smarter Environment
Abstract: Gesture recognition is a technology that uses the mathematical algorithms to identify human gestures. Gesture recognition recognizes the hand, tracks its movements, and provides information about hand position, orientation, and finger flux. This research work describes a sophisticated and user-friendly Human Computer Interaction (HCI) technology that employs the Raspberry Pi to easily translate user intentions into corresponding commands and output. The proposed system overcomes the disadvantages present in the existing …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 1, 2022 · pp. 7–14 Read article
-
A Web Application for Predicting Diabetes Using Machine Learning Methods
Abstract: Diabetes is a long-term disease caused by high glucose quantity in the blood. It has the potential to result in serious health complications like heart disease, hypertension, and ocular damage. It is good to identify any health issues as early as possible to get the right medical treatment and make necessary lifestyle adjustments. One makes use of machine learning techniques to predict diabetes and develop treatment options using actual cases. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 92–102 Read article
-
Real-time DDoS Attack Prediction in SDN Environments Using Machine Learning
Abstract: The ever-growing reliance on sdn-based services necessitates robust security measures against Distributed Denial-of-Service (DDoS) attacks that threaten service availability. This project investigates the development of a real-time prediction system for DDoS attacks in sdn environments, leveraging the power of machine learning. The proposed system employs a Decision Tree classification algorithm implemented in Python. To ensure accurate attack identification, the system meticulously addresses data preprocessing challenges inherent in network traffic datasets. …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 16–27 Read article
-
Machine Learning Based Early Cataract Detection: A Predictive Modeling Approach
Abstract: Cataracts, characterized by dense cloudy areas in the eye’s lens, afflict more than 50% of elderly individuals, leading to impaired vision and potential blindness. Detecting cataracts at an early stage is crucial to facilitate simpler treatments, as neglecting the condition may necessitate complex eye surgery. To address this issue, we are creating a predictive system that identifies cataract disease by analyzing user-provided eye features. To achieve this, we leverage OpenCV, …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
-
Smart Living: A Critical Analysis of IoT-based Home Automation Using NodeMCU and Blynk
Abstract: The internet of things, or IoT, links tools and gadgets to the internet so they may be remotely managed by websites and smartphone applications. It also allows for the control of instruments and tools using codes and algorithms to solve artificial intelligence problems. Our tools, equipment, and devices are connected to Wi-Fi or Ethernet connections, and we may control them via internet websites or smartphone applications if we choose to …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 2, 2023 · pp. 1–8 Read article
-
Care Taker Bot: A Smart Assistive Device for Elderly Care
Abstract: The growing demand for assistive technologies in healthcare and elderly care has driven the development of intelligent robotic systems. This research work describes the design, hardware integration, and software implementation of a caretaker bot built around the Raspberry Pi 4B module. The system combines essential components such as a speaker, a buzzer, a power bank for portability, a SIM card module for cellular connectivity, and a mobile application for real-time …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 3, 2025 · pp. 14–22 Read article
-
Concepts of OOPS
Abstract: This paper aims at explaining the concept of Object oriented programming (OOP). Today, most of the software system is intended on Associate in Nursing Object-Oriented Programming (OOP) paradigm. Most programs as well as word processors, spreadsheets, information applications, and e-mail programs square measure object-oriented. Understanding the fundamentals of object-oriented style could be a requirement for extending Associate in nursing application to supply some user outlined behavior. Associate in nursing object-oriented …
Published in Recent Trends in Programming languages · Vol. 2, Issue 3, 2015 · pp. 21–23 Read article
-
Fake Cryptocurrency Detection Using Python
Abstract: This study investigates the use of Python-based techniques for detecting fraudulent cryptocurrencies, addressing a growing concern in the digital financial ecosystem. The research methodology integrates various data science approaches, including web scraping, API integration, and advanced data analysis using Pandas and NLTK. Machine learning models, particularly classification algorithms such as Random Forest, are employed to analyze key features extracted from cryptocurrency whitepapers, social media discussions, and transactional data. By training …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
-
Digital Camera-based Pallet Detection System Using YOLOX
Abstract: The automation of pallet recognition and localization is a widely investigated and sought topic, notably for forklift robots and pallet-picking instruments. Pallets are essential in warehouses and retail establishments. However, pallet recognition and pallet localization can be time-consuming and prone to errors, which can result in reduced efficiency and safety hazards. To address this, we develop the Pallet Detection System, a computer vision mechanism that detects and locates the coordinates …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 1, 2023 · pp. 32–37 Read article
-
Gesture-Based Virtual HCI: Enhancing Computer Interaction
Abstract: In a time when human-computer interaction (HCI) is changing quickly, generating user-friendly interfaces is essential. This paper presents a new technique to HCI using virtual mouse and keyboard systems based on gesture recognition. This system replaces classical input devices by permitting users to control their computers with hand gestures using computer vision techniques. We created an optical mouse and keyboard technique that can recognize hand gestures recorded by a regular …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 2, 2024 Read article
-
IoT-based Indoor Safety Monitoring System for COVID-19
Abstract: This paper presents an IoT-based solution that helps enterprises, institutions and organizations comply with COVID-19 safety standards and recommendations to reduce their spread. We focused on the most popular measures for people as body temperature, wearing a mask and a social distance of at least 1.5-2 m. This project is an IoT based interior security surveillance system with following aspects: 1) Non-contact temperature measurement with a IR thermal sensor 2) …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 3, 2021 · pp. 17–21 Read article
-
Phishing URL Detection Using Machine Learning Classification Algorithms
Abstract: Phishing attack is utilized to get the data like username, secret phrase, financial balance subtleties, and credit card details. Today, is the most well-known cybercrime. Phishing assaults additionally influence the web-based installment area monetary organization, document facilitating or distributed storage, and numerous others. Phishing assault generally focuses to these Web locales which are connected with the internet-based payment area and Web mail. To stop phishing attacks, a variety of methods …
Published in Journal of Web Engineering & Technology · Vol. 9, Issue 3, 2022 · pp. 22–33 Read article
-
Implementation of Human Gesture Recognition Using CNN
Abstract: A gesture popularity system based entirely on convolutional neural networks (CNNs). Preprocessing techniques include segmentation, polygonal approximation, contour construction, morphological filters, and resource characteristic extraction. Various convolutional neural networks are employed for training and testing, with results compared to existing architectures and protocols. All generated measurements and convergence graphs produced at any point during education are examined and contested in order to verify the reliability of the approach offered. Our …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 24–37 Read article
-
Diet(Nutrition) Recommender using Machine Learning
Abstract: In an era where maintaining a healthy lifestyle has become a priority, personalized dietary recommendations play a crucial role in guiding individuals towards achieving their nutritional goals. The Diet Recommendation System is an inno- vative application that combines user-specific data with machine learning algorithms to provide tailored dietary suggestions. This system is designed to simplify the process of meal planning and promote healthier eating habits. The Diet Recommendation System is …
Published in International Journal of Nutritions · Vol. 2, Issue 2, 2025 Read article
-
Presento AI: Your Personal Slide Assistant
Abstract: An AI based Auto Slide Generator offers significant time and effort savings. Current tools like Microsoft PowerPoint and OpenOffice aid researchers by providing slide outlines and themes, but they fall short in assisting with slide content selection. An academic presentation functions as an advertisement for a paper rather than an exhaustive information dump. In PowerPoint presentations, it's acceptable to include images that encapsulate your research's objectives. Visuals serve as highly …
Published in International Journal of Electronics Automation · Vol. 2, Issue 2, 2024 · pp. 14–19 Read article
-
Windows Operating System’s Volume Controller Using Hand Gestures
Abstract: In this study, we develop volume controller in which we use hand gesture as input to control system. OpenCV module is basically used in this implementation for gesture control. Basically, this system uses the web camera to record or take pictures/videos, and the app controls the system volume based on the input. The primary purpose is to modify the system volume. Hand gestures can control basic computer tasks, such as …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 3, 2022 · pp. 15–21 Read article
-
Intello-An Intelligent Chatbot For Replacing FAQs
Abstract: A user often needs to go through each question of the FAQ section of a website simply to find the answer to his solitary question. It would be much simpler if there existed a single interface through which he could simply type in his question and the answer is directly provided. There has been a long list of chatbots developed for the e-commerce and online customer service industry.In this paper, …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 1, 2018 · pp. 25–34 Read article
-
AI-Assisted Programming, Memory Safety, Multi-Paradigm Design and Emerging Development Models
Abstract: As the field of artificial intelligence (AI) continues to evolve at a fast pace, and specifically with the rise of large language models (LLMs), the software design, implementation, testing, and maintenance landscape has undergone unprecedented transformation. Although programming languages are still the main language for writing computational logic, the way developers interact with programming languages is now increasingly mediated by AI-based tools. Current AI coding systems can help with code …
Published in Recent Trends in Programming languages · Vol. 13, Issue 2, 2026 · pp. 43–50 Read article