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320 articles for “scalability challenges”
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Leveraging Full Stack Data Science for Healthcare Transformation: An Exploration of the Microsoft Intelligent Data Platform
Abstract: The rapid progress of the Fourth Industrial Revolution has been largely driven by the evolution of artificial intelligence (AI), with notable contributions from technologies such as Generative Pre-trained Transformers (GPT). This revolution has seen the convergence of physical, digital, and biological technologies, leading to transformative impacts across various sectors. Data science, serving as a crucial enabler, has enabled the development of intelligent value chains. However, the application of data science …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
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Smart Air Filtration Systems for Cities: A Technological Approach to Reducing Urban Pollution
Abstract: Urban air pollution is considered one of the main ecologically critical issues of the 21st century since it threatens citizens' health through respiratory diseases, pathologies of the cardiovascular system, and even premature death. Regarding an extremely high level of pollution in large cities, it becomes necessary to realize technological solutions which could avoid the negative impact of this phenomenon. Smart air filtration systems have emerged as promising solutions for urban …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 2, Issue 2, 2024 · pp. 27–42 Read article
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Neuro-Fuzzy Control Systems: A Cross-Domain Review
Abstract: This paper presents a comprehensive review of the application of neuro-fuzzy control systems in various industries. Using the combined strengths of neural networks and fuzzy logic, neural-fuzzy control systems emerge as versatile tools to solve challenging control challenges It begins with clarifying the theoretical basis of neural fuzzy systems, and emphasizing their scalability, definition, and robustness. Specific examples in each domain highlight the effectiveness of neuro-fuzzy control in solving real …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 1, 2024 · pp. 29–38 Read article
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Ocular Films as a Drug Delivery System Against Fungal Infections: Current Insights and Future Directions
Abstract: Fungal infections of the eye, including keratitis, endophthalmitis, and blepharitis, represent a challenging class of ocular diseases due to their potential for vision loss and the limited efficacy of existing treatments. These infections are caused by a range of pathogenic fungi, such as Aspergillus, Candida, and Fusarium species, and often require long-term therapeutic intervention. Conventional topical antifungal therapies, such as eye drops and ointments, suffer from poor ocular bioavailability due …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 101–109 Read article
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Advanced Deep Learning Techniques for Sickle Cell Anaemia Detection
Abstract: Sickle Cell Anemia (SCA) is a prevalent genetic blood disorder characterized by the presence of abnormal hemoglobin, resulting in the distinctive sickle shape of red blood cells. Timely and accurate identification of Sickle Cell Anemia (SCA) is essential for effective management and treatment. This study presents a new method that utilizes Convolutional Neural Networks (CNNs), a deep learning model particularly effective for image analysis. The process involves using microscopic images …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 9–15 Read article
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Introducing New Operating Systems for Computer
Abstract: This study introduces new operating systems (OS) designed to meet the evolving demands of modern computing environments. As technology progresses, the limitations of traditional operating systems in terms of efficiency, security, and scalability have become evident. The proposed new OS models aim to address these challenges by incorporating advanced features such as optimized resource management, enhanced security protocols, and improved user interfaces. Additionally, these systems leverage emerging technologies like artificial …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 37–47 Read article
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IoT and Sensor Technologies: Revolutionizing Connectivity and Data Insights
Abstract: The Internet of Things (IoT) and sensor technologies have become integral components of modern technological ecosystems, fostering unprecedented levels of connectivity and data acquisition across various sectors. These technologies are pushing the boundaries of what is possible in the way devices interact, collect data, and make decisions autonomously. IoT and sensor technologies have a wide range of applications, spanning healthcare, agriculture, smart cities, and industrial automation, with their potential continually …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 1, 2025 · pp. 1–7 Read article
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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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A review on polyhouse monitoring system
Abstract: The integration of Internet of Things (IoT) technology in agriculture has revolutionized traditional farming practices, offering innovative solutions to enhance productivity, sustainability, and resource efficiency. This study explores the role of loT-based systems in smart agriculture, focusing on applications such as environmental monitoring, automated irrigation, crop health prediction, and precision farming. The reviewed systems utilize advanced sensors to monitor parameters like temperature, humidity, soil moisture, and light intensity, transmitting real-time …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 1–9 Read article
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Enhancing Trust in Education Through Blockchain- Based Credential Authentication
Abstract: Academic credentials such as degree certificates, transcripts, and course completion records are fundamental for validating an individual’s educational achievements. However, conventional credential management systems largely rely on centralized databases and physical documentation, making them vulnerable to forgery, unauthorized modification, data loss, and inefficient verification processes. These limitations reduce trust among educational institutions, employers, and learners, while also increasing administrative overhead. This study proposes a blockchain-based credential authentication framework designed to …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 1–7 Read article
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IoT-Driven Accident Alert and Rescue Management System for Smart Mobility
Abstract: An IoT-enabled vehicle accident detection and rescue system is a modern approach aimed at improving road safety by identifying collisions as they occur and facilitating quick emergency assistance. Traffic accidents remain a major cause of death across the globe, and the lack of timely medical help frequently intensifies the severity of injuries. This system leverages the power of the Internet of Things (IoT) to monitor a vehicle's dynamics and detect …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 1, 2026 · pp. 01–05 Read article
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Optimizing Data Processing Efficiency in Big Data: Advanced MapReduce Algorithm Innovations
Abstract: The exponential growth of big data in recent years has created an urgent need for innovative and efficient processing frameworks capable of managing and analyzing massive and complex datasets. Among these, MapReduce has gained prominence as a powerful tool for distributed data processing due to its simplicity and scalability. However, traditional MapReduce frameworks often encounter significant limitations in terms of efficiency, scalability, and resource optimization, particularly when handling large-scale and …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 1–7 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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Exploring the Potential of Recyclable Steel in Circular Economies
Abstract: As the global community faces the pressing challenges of environmental degradation and resource depletion, the imperative for sustainable solutions has never been more pronounced. This research introduces an in-depth exploration into the realm of recyclable materials, with a specific emphasis on steel—an essential component in various industries and a major contributor to environmental impact. The research investigates current recycling technologies and processes that facilitate the transformation of steel into a …
Published in International Journal of Manufacturing and Production Engineering · Vol. 1, Issue 2, 2023 · pp. 25–40 Read article
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Review And Analysis of Application of Conductive Polymer Composites in Power-Efficient RF Circuits For 5G PAPR Reduction
Abstract: The need for low power RF circuits has gained more importance in the background of fifth-generation (5G) wireless communication systems, since the inherent PAPR characteristic of 5G signals—especially when using orthogonal frequency division multiplexing (OFDM) based techniques—becomes high. This high PAPR limits the efficiency of RF power amplifiers, increases power consumption, and induces thermal management challenges. In this context, conductive polymer composites (CPCs), based on advanced polymer matrices integrated with …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 111–125 Read article
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A Brief Review on Perovskite Materials: Synthesis, Properties, and Applications
Abstract: Perovskite materials have emerged as a transformative class of compounds, capturing widespread interest due to their remarkable properties and diverse applications across various fields, including optoelectronics, catalysis, energy storage, and environmental technologies. The synthesis techniques, classification, and unique properties of perovskite materials are thoroughly examined in this paper, which highlights the materials' potential to completely transform a number of sectors. One of the standout features of perovskites is their highly …
Published in International Journal of Advance in Molecular Engineering · Vol. 3, Issue 1, 2025 · pp. 42–49 Read article
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Real-Time Air Quality Prediction Using IoT-Integrated Polymer Sensors and Recurrent Neural Networks
Abstract: Real-time air quality monitoring remains a critical challenge in urban environments, where traditional sensor infrastructures often suffer from limited responsiveness, poor scalability, and high deployment costs. The increasing prevalence of NO₂ pollution, a key contributor to respiratory and cardiovascular ailments, demands advanced sensing platforms capable of both accurate detection and predictive inference. Existing methods either rely on rigid electronic sensors lacking adaptability or on statistical forecasting models that fail to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 332–347 Read article
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Integrating Advanced Technologies for the Scientific Revalidation of Ayurvedic Principles
Abstract: Background: Ayurveda, a 5,000-year-old holistic healthcare system, emphasizes the dynamic balance of body, mind, and spirit. Recent advancements in science and technology have accelerated its integration into global healthcare systems. Objective: This paper explores the contribution of modern tools and methodologies to the scientific validation and enhancement of Ayurvedic principles across education, clinical practice, and research. Methods: A comprehensive literature review was conducted using databases like PubMed, Google Scholar, and …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 1, 2026 · pp. 1–6 Read article
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Machine Learning–Guided Cognitive RF System with Dynamic FFT Resolution and Multiplier Reconfiguration for Adaptive Anti-Jamming Communication
Abstract: This paper presents a hierarchical adaptive RF communication system that integrates signal quality-based pre- processing with machine learning-driven signal classification to achieve robust and resource-efficient operation in dynamic, interference-prone environments. Unlike prior art that addresses adaptive RF, ML classification, or anti-jamming individually, this work uniquely combines real-time SNR/RSSI-based signal strength estimation with dynamic FFT size selection (64-, 256- , or 512-point) and arithmetic-level multiplier reconfiguration (CORDIC, Distributed Arithmetic, and hybrid …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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Integrating Biotechnology, Physiology, and Agroecological Practices for Sustainable Crop Production and Protection
Abstract: Global agriculture is currently confronting a wide range of complex challenges, including a rapidly growing population, climate change, increasing pest and disease pressures, soil degradation, water scarcity, and the urgent need for sustainable intensification of crop production. Addressing these issues requires integrated strategies that combine crop improvement (through modern breeding and biotechnology), precision agronomic practices related to soil, irrigation, and nutrition, as well as advancements in plant physiology, molecular biology, …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article