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132 articles for “real-time detection”
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Advances in Applied Chemistry: From Electrochemical Biosensors and Gas Sensing to Sustainable Remediation and Nanofluid Engineering
Abstract: Applied chemistry acts as a crucial link between fundamental molecular science and practical technological innovation. It transforms theoretical knowledge into real-world applications that address challenges in healthcare, environment, and industry. This review highlights recent advancements in electrochemical biosensors, which offer rapid and sensitive diagnostic capabilities, along with modern gas detection technologies designed for improved safety and environmental monitoring. Significant attention is given to environmental remediation, particularly the use of activated …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 20–25 Read article
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Depression, Stress and Anxiety Prediction
Abstract: In the fast-moving up-to-date realm, intellectual well-being issues like anxiety, depression and stress have enhanced very coarse between common people. The system has entrenched information to label the sentences and make a decision itself as reaction to answer a question. The table contains chatterbot or chatbot information. It exists of four buttons as offset Time, Date, Questionnaires and Image Processing. Image preparing is used to monitor the exciting rank of …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 13–19 Read article
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Pedestrian Detection System with Edge Computing Integration on Embedded Vehicle
Abstract: This article proposes use of edge computing in detection of pedestrian using a roadside mounted edge computer and conve ying position of pedestrian on road to all nearby vehicles so that vehicles can decide upon possibility of collision of itself with pedestrian and take suitable action to prevent possible accident. This approach of edge computing saves bandwidth, increases reliability and improves response time, and these three parameters are crucial in …
Published in International Journal of Broadband Cellular Communication · Vol. 7, Issue 1, 2021 · pp. 25–29 Read article
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Transportable Water and Air Quality Monitoring Equipment Karishma
Abstract: The purpose of this article is to provide a broad summary of recent discoveries, identify important constraints, and suggest future lines of inquiry. In recent years, pollution has surpassed the environment's bearing capacity. There hasn't been much progress despite the installation of multiple pollution-control initiatives. Natural resources are occasionally exploited by unavoidable waste discharges, despite our government's best attempts to safeguard them. For instance, the water-intensive and polluting sectors of …
Published in International Journal of Environmental Chemistry · Vol. 12, Issue 1, 2026 Read article
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A Comprehensive Study on Evolvable Hardware
Abstract: AbstractEvolvable Hardware (EHW) is an innovative approach to hardware design that utilizes evolutionary algorithms, such as Genetic Algorithms (GAs) and Genetic Programming (GP), to enable electronic systems to autonomously adapt, optimize, and reconfigure themselves in response to changing environments or requirements. Inspired by natural evolution, EHW dynamically evolves hardware configurations through selection, mutation, and crossover, allowing systems to improve performance, enhance fault tolerance, and achieve greater energy efficiency. Central to …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 16–22 Read article
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CNN-Based Traffic Sign Recognition with Voice Alerts
Abstract: Traffic sign recognition is a crucial component of intelligent transportation systems, significantly enhancing road safety by aiding both autonomous and human drivers. This paper presents a convolutional neural network-based traffic sign recognition system integrated with voice alerts. Our approach utilizes a deep learning model trained on a comprehensive dataset of traffic signs to accurately identify various road signs in realtime. Upon recognition, the system issues corresponding voice alerts to inform …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article
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Advanced Security System for Residential Complexes
Abstract: A sophisticated apartment safety system aimed at preventing unauthorized access and enhancing security within residential complexes. The system employs facial recognition technology to identify residents and regular visitors while capturing the pictures and data of unknown individuals upon entry. These individuals are provided with an RFID tag, enabling continuous tracking of their movement within the premises until they reach their intended destination so that we can monitor the person and …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
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Development of Nanocomposites for Sensor Applications
Abstract: The development of nanocomposites for sensor applications represents a significant breakthrough in materials science and engineering, driven by the unique properties of nanomaterials. Nanocomposites, which combine nanoparticles with polymers or other matrices, exhibit enhanced mechanical, electrical, and thermal properties, making them highly suitable for various sensing applications. The integration of nanoparticles, such as metal oxide, carbon nanotubes, and graphene, into a composite framework can dramatically increase sensitivity and selectivity, enabling …
Published in International Journal of Applied Nanotechnology · Vol. 11, Issue 1, 2025 · pp. 18–37 Read article
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Hydrodynamic Modeling for contaminant spills Case study: Nile River - Upper Egypt
Abstract: Most watercourses are subjected to the threats of contaminant spills. The Nile River is the main drinking and irrigation water source for all Egyptian cities around its banks, especially in Upper Egypt. The southern reach receives considerable amounts of agricultural, industrial and municipal wastes at different sites along its mainstream. The goal of this research is to simulate contaminant spill in the studied part of the Nile River to determine …
Published in International Journal of Water Resources Engineering · Vol. 5, Issue 2, 2019 · pp. 1–16 Read article
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A Hybrid Approach to Secure Cloud Storage: Machine Learning and Blockchain Integration
Abstract: With the rapid adoption of cloud computing across industries, securing cloud storage has become a paramount concern for organizations that rely on cloud-based systems to manage sensitive data. Traditional security approaches often struggle with the complex and evolving nature of cyber threats, leading to vulnerabilities that malicious actors can exploit. In response to these challenges, this paper proposes a hybrid approach that integrates machine learning and blockchain technologies to create …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 35–47 Read article
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Fog Computing Architecture and Deployment in IoT
Abstract: The relentless proliferation of Internet of Things maneuvers generates colossal volumes of data at the network edge, straining traditional cloud-centric paradigms with inherent limitations in latency, bandwidth, resilience, and privacy. This necessitates a paradigm shift towards distributed intelligence. Fog Computing arises as a pivotal architectural paradigm, extending computational, storage, and networking capabilities closer to the data source, thereby mitigating latency, reducing bandwidth consumption, and enhancing real-time processing capabilities for critical …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 31–39 Read article
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Combating Deepfakes and AI-Generated Misinformation: Towards a Digital Likeness and Integrity Framework for India
Abstract: The real struggle is to distinguish what is real and what is fake in the communication of the hyper-digitalized age, in which AI and generative technologies significantly impact the field of communication. The change in the creation and consumption of information has come with the deepfake AI-generated fake media that can imitate a human in voice, image, and video. However, on the one hand, generative models such as Generative Adversarial …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 1–20 Read article