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508 articles for “real-time detection”
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Melanoma Skin Cancer Detection Using Deep Learning
Abstract: Cancer as one of the major diseases rank in the World is still very challenging to diagnose and treat hence need for the technological advancements. Chemotherapy, radiation, as well as surgery therapies have several drawbacks including non-selective action, damage to healthy tissues, and multi-drug resistance. Smart nano-theranostics, an advanced integration of nanotechnology with diagnostic and therapeutic modalities, offers a next-generation approach for precision oncology. Thus, the development of multifunctional nanoparticles …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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Artificial Intelligence Based Portable Robot Device for Autonomous Venepuncture
Abstract: Venepuncture is a source of medical hurt and is necessary for a wide range of therapeutic procedures. Venpuncture-related complications worsen in difficult settings, where the success rate is largely dependent on the physiology of the patient and the skill of the practitioner. It is difficult to find the vein for infants, adolescent girls, obese and elderly people and it is causing severe pain in the traditional manual blood drawing system. …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 1, 2024 · pp. 35–38 Read article
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Building a Modern Land Registration System: Leveraging Node.js and React.js for Efficiency, Security and Scalability
Abstract: Land registration systems are critical for safeguarding property ownership and enabling efficient real estate transactions. However, traditional systems often suffer from inefficiencies, including lengthy processing times, susceptibility to fraud, and limited accessibility. This study proposes a modernized Land Registration System (LRS) leveraging Node.js for backend development and React.js for frontend design to address these challenges. The system integrates real-time data processing, automated document verification, and role-based access control (RBAC) to …
Published in Recent Trends in Programming languages · Vol. 12, Issue 2, 2025 · pp. 1–6 Read article
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Role of Artificial Intelligence in Structural Health Monitoring-A Brief Evaluation
Abstract: Artificial intelligence (AI) refers to the capacity of a machine or a computer to ‘think’ or reason in the way a human would, utilizing experience, learned facts, and flexible rules to solve problems that may not fit the standard outlines for a normal algorithm. From this follows the utilization of AI in various sectors, such as the information technology (IT) industry, media, healthcare and medicine, logistics, environmental sustainability, finance, business, …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article
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Raspberry Pi-based Self-driving Car Technologies: A Review of Hardware and Software Integration
Abstract: An assessment of the state, possibilities, and difficulties of self-driving car technology. Autonomous vehicles (AVs), also referred to as self-driving cars, are automobiles that can navigate and function without the need for human involvement. They make decisions, sense their environment, and traverse routes safely by combining sensors, cameras, radar, lidar, and sophisticated algorithms. The advancement of autonomous vehicles holds the capacity to completely transform the transportation sector by enhancing security, …
Published in International Journal of Electronics Automation · Vol. 2, Issue 2, 2024 · pp. 1–6 Read article
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Smart Car Parking and Maintenance Systems: Leveraging IoT for Efficient, Sustainable Urban Transport
Abstract: One of the main objectives of the smart city aspect is to facilitate sustainable mobility, and one vital component of that is the creation of an intelligent parking system. The solution to the parking issue cities face is the allocation and monitoring of parking spaces. Using the results of this survey, we have investigated this issue. As a result, an effective parking management system is now required. We can provide …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 3, 2024 · pp. 33–39 Read article
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Robotic Assistance Using ESP32 Microcontroller
Abstract: The Robotic Assistance System using ESP32 Microcontroller is a voice-interactive and manually operable robotic model designed to improve human convenience and engagement in daily life. This project integrates modern technologies such as Alexa-based voice commands for intelligent interaction and Bluetooth-based manual control for user flexibility. By combining artificial intelligence with embedded systems, the robotic assistant is capable of performing a wide range of activities. These include entertainment-related functions like playing …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
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Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 Read article
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Thin Film Technology in Sensor Manufacturing – A Technical Discussion
Abstract: Thin‑film technology has become the cornerstone of modern sensor manufacturing, enabling the convergence of miniaturisation, multifunctionality, and cost‑effective mass production. This paper surveys the latest advances in deposition techniques—ranging from magnetron sputtering and chemical vapour deposition to atomic‑layer deposition (ALD) and ink‑jet‑printed sol‑gel processes—and examines how their unique material‑control capabilities translate into performance gains across the sensor spectrum (chemical, physical, and bio‑sensing). By integrating nanoscale thickness control (≤ 10 nm) …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 1, 2026 · pp. 48–58 Read article
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A Study on AI-Enhanced Environmental Toxicology: Sensor-Driven Predictive Framework
Abstract: Traditional environmental toxicology relies heavily on labor-intensive, often retrospective, sampling and analysis, limiting our understanding of dynamic pollutant behaviors and their real-time impact on ecosystems and human health. This study presents a novel, integrated framework leveraging advanced sensor networks and artificial intelligence (AI) to revolutionize the monitoring, assessment, and predictive modeling of environmental contaminants. We deployed a sophisticated array of multi-parameter sensors (e.g., electrochemical, optical, biosensors for heavy metals, organic …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 3, 2025 Read article
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Ransomware Detection and Prevention Using Honeypot
Abstract: The significance of network security and explores the details of ransomware attacks, highlighting the crucial parameters essential to fortifying defences against this pernicious cyber threat. Network security involves safeguarding computer networks against unauthorized access, data breaches, and cyberattacks. Ransomware attack, a specific type of cyberattack, entail malicious software encrypting a computer system, making them unavailable to use in return attacker asks for ransom in form of cryptocurrency like Bitcoin or …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 8–13 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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IOT Based Monitoring and Controlling Substation Equipment
Abstract: The project ”IoT-Based Monitoring and Controlling Substation Equipment” revolves around utilizing the Internet of Things (IoT) technology to make the substation equipment electrical monitoring and control easy. Timely monitoring of these substation equipment is utmost important in ensuring the stable and reliable operation of the power distribution system. This project will design a system whereby sensors collect real-time data on the key parameters such as voltage, current, temperature, humidity, and …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 2, 2025 · pp. 53–58 Read article
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Graphs and Their Real-Life Applications in Pharmaceutical Research
Abstract: This study provides a comprehensive overview of the role of graphs in pharmacy research, emphasizing their significance as powerful tools for data visualization, interpretation, and communication. In the field of pharmacy, research often generates large volumes of complex data related to drug development, pharmacokinetics, pharmacodynamics, medication safety, and patient outcomes. Graphs serve as an essential medium to translate these data into accessible, interpretable, and actionable insights, supporting evidence-based practice and …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 3, 2025 · pp. 01–08 Read article
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A Comprehensive Analysis of Machine Learning Models for Credit Card Fraud Detection
Abstract: This paper presents an indepth comparison of various machine learning models—Logistic Regression, Support Vector Classification (SVC), and Neural Networks (NN)—in the context of credit card fraud detection. The analysis spans multiple performance metrics, including accuracy, F1 score, precision, recall, and computational efficiency. Logistic Regression demonstrates competitive performance in terms of accuracy, but its poor precision renders it unsuitable for fraud detection tasks. Conversely, the Neural Network exhibits balanced precision and …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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A Study of Optical Sensor in Clinical applications
Abstract: The escalating demand for precise, real-time, and minimally invasive diagnostic and monitoring tools in clinical practice has propelled the development of sophisticated sensor technologies. Among these, optical sensors have emerged as a cornerstone, leveraging the interaction of light with biological matter to translate molecular or cellular events into quantifiable signals. Their inherent advantages – including high sensitivity, specificity, rapid response times, non-ionizing nature, and potential for miniaturization – make them …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Classification of Fruits Based on Quality Using Artificial Intelligence
Abstract: The visual inspection method for fruit grading is prone to judgment distortion among different individuals. There is a demand for an automated fruit classification machine to replace labor-intensive processes with an intelligent system for fruit quality classification. This study proposes a practical real-time fruit quality classification system that classifies the fruit’s appearance in order to decrease human effort costs in the fruit industry. For the sorting and classification of fruits, …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 23–30 Read article
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Extracellular Vesicle-Based Liquid Biopsies: Decoding the Tumor Microenvironment for Precision Oncology
Abstract: The tumor microenvironment (TME) plays a pivotal role in cancer initiation, progression, and therapeutic response. Decoding the TME is, therefore, essential for advancing precision oncology. Extracellular vesicles (EVs), including exosomes and microvesicles, are nanoscale lipid bilayer particles secreted by tumor and stromal cells. They transport a wide range of bioactive molecules, such as DNA, RNA, proteins, lipids, and metabolites, which reflect the dynamic state of the TME. Recent advances in …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 43–62 Read article
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Real-time Water Quality Analysis Using Fuzzy Logic
Abstract: Nowadays the availability of safe drinking water is very difficult. In our project we are analysing water quality using different parameters like pH, turbidity, temperature and TDS for determining its safety level by monitoring the data from the readings. Moreover, we have a monitoring system for the data and also a webpage where all the data from these system is displayed. The sensors are connected to an Arduino Nano microcontroller …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 2, 2026 · pp. 01–11 Read article