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70 articles for “Feature stream”
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A Study on Feature Subset Selection in Feature Streams of Dynamic Data
Abstract: As the use of real-time data with high dimensions continues to expand across various domains, selecting important features from the dataset is a key step to improve the predictive accuracy and time taken to build a machine learning model. In datasets where not all features are available at the same time and we are unaware of the total number of features, and features arrive at different time stamps, for example, …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 26–32 Read article
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Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques
Abstract: The integration of continual learning with Large Language Models (LLMs) and Natural Language Processing (NLP) represents a transformative step toward creating adaptive, intelligent systems capable of functioning effectively in ever-changing environments. Traditional LLMs are typically trained on large, pre-collected datasets, which limits their ability to evolve as new information emerges. Continual learning, in contrast, enables models to acquire new knowledge incrementally without the need for complete retraining, thereby supporting long-term …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
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Innovative Platform for College Event Planning and Secure Transactions
Abstract: The unified platform for college events is designed as an all-in-one solution to simplify the process of organizing college events while ensuring seamless payment transactions. By combining event management and payment processing into a single system, this innovative platform provides colleges and universities with a convenient way to plan, promote, and execute events while securely handling financial operations. In the lively and dynamic environment of college life, events such as …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 1, 2025 · pp. 18–23 Read article
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Dual-Stream Deep Learning Framework for Brain CT Image Classification and Implications for Polymer Composite Neuro Implant Evaluation
Abstract: Early and accurate classification of brain CT images is critical for diagnosing conditions such as aneurysms, tumors, and related lesions. We present a dual-stream image-classification framework that fuses convolutional neural network (CNN) features with handcrafted Histogram of Oriented Gradients (HOG) descriptors to jointly capture global semantics and local textural cues. The pipeline begins with modality unification via pixel-wise averaging to form a fused input, which is then processed in parallel …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 172–179 Read article
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Keyless: LQ Based On IOT
Abstract: In recent years, there has been a growing interest in smart home technologies, with smart door locks being one of the focal points due to their potential to enhance security and convenience. Smart door lock systems are transforming access control by offering a keyless alternative for both residential and commercial settings. These electronic locks replace traditional keys with secure methods such as emergency alarms, privacy modes, battery backup, cameras, voice …
Published in Journal Of Network security Read article
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Keyless Lock Based on Internet of Things
Abstract: In recent years, there has been a growing interest in smart home technologies, with smart door locks being one of the focal points due to their potential to enhance security and convenience. Smart door lock systems are transforming access control by offering a keyless alternative for both residential and commercial settings. These electronic locks replace traditional keys with secure methods such as emergency alarms, privacy modes, battery backup, cameras, voice …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 18–21 Read article
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Automated Suspicious Activity Detection in Video Surveillance Using Deep Learning: A Review
Abstract: In the current era of advanced security systems, video surveillance plays an essential role in ensuring safety by detecting suspicious activities. With the increase in real-time data, manual monitoring has become impractical, paving the way for automated surveillance systems utilizing machine learning (ML) and artificial intelligence (AI) technologies. This paper explores the integration of ML and AI models, specifically convolutional neural networks (CNNs) and long short-term memory (LSTM) networks, for …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 20–27 Read article
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Creative Collaboration on a Digital Canvas
Abstract: A Collaborative whiteboard is presented where users at multiple locations can communicate with each other. The system features a virtual environment with vivid avatars, stroke compression and streaming technology to effectively deliver stroke data across meeting participants, friendly human interaction and navigation, virtual and physical whiteboard. The whiteboard is both a physical platform for our input/output interfaces and a virtual screen for sharing common multimedia. It is this whiteboard correspondence …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 29–36 Read article
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Real-Time Supply Chain Monitoring with Blockchain: A Decentralized Approach
Abstract: This study presents the development and implementation of a Blockchain-Enhanced Shipment Management and Tracking System (SMTS) to address key challenges in the logistics and shipping industry, such as inefficiencies, lack of transparency, security concerns, and high operational costs. Utilizing blockchain technology, particularly Hyperledger Fabric, the SMTS creates a decentralized, immutable ledger that enhances real-time shipment tracking, ensures data integrity, and improves security by reducing fraud and unauthorized tampering. Smart contracts …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 Read article
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Web-based Rental Application for Leasing and Renting Daily Utilities
Abstract: This project addresses the challenges posed by a cluttered online marketplace, specifically catering to the everyday needs of our local community. We propose a user-friendly website designed as a one-stop solution for borrowing, renting, and buying a wide range of items. Existing platforms often lack organization, forcing users to navigate multiple channels to find what they need, leading to wasted time and effort. Our website is built to overcome this …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 77–83 Read article
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Early Lung Cancer Prediction using deep Learning
Abstract: Lung cancer is a global killer because it’s often found late. Finding it early is key to treatment and survival so computer assisted diagnostics are essential. This research uses deep learning to spot early stage lung cancer from CT scans. We trained and fine-tuned three convolutional neural networks—ResNet50, Dense Net 201 and EfficientNet-B0—using transfer learning. We preprocessed the lung CT images by resizing, normalizing and augmenting them to enhance the …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 Read article
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Price Comparison with Sentimental Analysis
Abstract: The price comparison website is designed to compare the prices of the products from various websites, which will help users to choose products that save money and time through online. Considering the customer's busy life especially those who are living in the city area, most of them prefer online shopping to save their time. Customers always prefer to buy products for low prices and compare prices from different e-commerce websites, …
Published in International Journal of Electronics Automation · Vol. 2, Issue 1, 2024 · pp. 20–27 Read article
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ESP32 CAM-based Surveillance Car with Tilt, Pan, and Zoom Capabilities: A Review
Abstract: This project focuses on developing a mobile surveillance robot using a Wi-Fi-enabled module controlled via a smartphone, designed for discreet observation and remote monitoring. The spy robot system includes essential hardware such as a camera, motor drivers, batteries, and wheels for movement. The main component is the AI Thinker ESP32-CAM module, featuring an ESP32-S processor and OV2640 camera, capable of capturing and streaming video at 640x480 resolution. The camera offers …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 3, 2024 · pp. 31–37 Read article
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Real-Time Multilanguage Platform with Encryption
Abstract: The proposed system, titled “Real-Time Multilanguage Platform With Encryption”, is designed to enable fast, reliable, and secure communication across various languages without relying on any third-party APIs. It utilizes a built-in audio-to-text conversion mechanism that processes spoken input using Python-based libraries like Speech Recognition or OpenAI’s Whisper, ensuring high accuracy in transcriptions. Once the audio is converted to text, the platform employs an offline translation engine to convert the transcribed …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 2, 2025 · pp. 1–7 Read article
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Graphene Based Electronic Skin for Wearable Health Monitoring and Human– review on Machine Interaction, Materials, Structures and AI Integration
Abstract: Graphene-based electronic skin (e-skin) has emerged as a transformative technology for next-generation wearable health monitoring and advanced human–machine interaction (HMI). Owing to its outstanding electrical conductivity, mechanical flexibility, atomic-scale thickness, and biocompatibility, graphene enables the fabrication of ultrathin, conformal, and multifunctional sensors capable of mimicking the sensory functions of natural human skin. Over the past decade, research in this domain has progressed rapidly across four interconnected fronts: material synthesis and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Koch Slot DRA Antenna Array for Enhanced X-Band Applications
Abstract: This work introduces an innovative method aimed at improving the gain of Dielectric Resonator Antenna (DRA) arrays functioning within the X-band spectrum. The design features a Koch-shaped slot-coupled feeding structure, utilising the properties of a short-ended microstrip line to enhance radiation directionality. The results of the simulation show that compared to conventional rectangular and V-shaped slot designs, the suggested antenna array provides a notable gain enhancement. This performance boost demonstrates …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 8–20 Read article
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Vision Sense Rover
Abstract: This paper presents the design and implementation of an autonomous obstacle-avoiding robotic system utilizing an Arduino Uno microcontroller, an ultrasonic distance measurement module, a servo-based scanning mechanism, an L298N motor driver module, and an ESP32-CAM for real-time visual monitoring. The proposed system is developed to operate without human intervention, using sensor- driven decision making for navigation. The ultrasonic sensor continuously measures the distance to adjacent obstacles, while the servo motor …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 38–43 Read article
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Ecomotion Cityglide Commuter E-Bike
Abstract: The transition from conventional gasoline motorcycles to electric bikes represents a pivotal step in addressing the increasing demand for sustainable transportation solutions in urban environments. This paper meticulously explores the multifaceted aspects of this transition, focusing on the technological advancements, design innovations, and societal implications associated with the adoption of electric bikes. Electric bikes, powered by Brushless DC (BLDC) motors and rechargeable battery packs, offer a suite of benefits over …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 1, 2024 · pp. 43–49 Read article
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Pharma Guard: Smart Medication Management System
Abstract: Pharma Guard Smart Medication Management System presenting a comprehensive overview of an innovative technology designed to revolutionize medication management in healthcare settings. In an era of advancing digital solutions, the Pharma Guard system offers a sophisticated approach to ensuring medication safety and adherence. Through the integration of smart technology, including internet of things (IoT) devices and machine learning algorithms, Pharma Guard enables real-time monitoring, tracking, and management of medication consumption …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 1, 2024 · pp. 30–37 Read article
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FoodieBot: A Conversational Food Ordering Chatbot Using Node.js and Microsoft Bot Framework
Abstract: This article delves into the development of a food order chatbot, leveraging Node.js alongside the Microsoft Bot Framework. The burgeoning popularity of chatbots within the food industry stems from their capacity to streamline the ordering process while simultaneously enriching customer experiences. In this study, we explore the implementation process, features, and advantages associated with crafting a food order chatbot, utilizing Node.js as the backend programming language and the Microsoft Bot …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 2, 2024 · pp. 14–18 Read article