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807 articles for “adaptive systems”
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A Review of AI-Based Intrusion Detection Systems for Mobile Ad Hoc Networks (MANETs)
Abstract: Mobile Ad Hoc Networks (MANETs) comprise wireless networks that lack any conventional infrastructure . Their chief features include highly changing network topologies, lack of centralized administration, and open nature of communication, which collectively result in making MANETs of the wireless kind very susceptible to a diverse range of cyber-attacks like blackhole, greyhole, wormhole, flooding, Sybil and denial-of-service (DoS) among others. Conventionally, Intrusion Detection Systems (IDS) relying on static rule-based methods …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Smart Motion Detection System using IoT: A NodeMCU and Blynk Framework
Abstract: A motion detector is a device that senses movement and triggers an action, such as turning on a light or sounding an alarm. Usually, motion detectors have been wired into home security systems, but with the advancements in IoT technology, they can now be connected to the internet for remote monitoring and control. This makes it possible to secure our homes and workplaces in a more practical and adaptable manner. …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 3, 2023 · pp. 1–8 Read article
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Geofencing of COVID-19 Center Using the Internet of Things
Abstract: The World Health Organization has declared the outburst of the coronavirus as pandemic in the world. So, this study presents Tracing patients from COVID-19 center using geofencing. The Admin and User modules are the two important ones. Admin may sign in with their credentials. Admin can add, update, delete, view COVID-19 center and can mark fence. Admin can add, update, delete and view COVID-19 status, Fence Logs and room number …
Published in Current Trends in Information Technology · Vol. 12, Issue 2, 2022 · pp. 27–34 Read article
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An Intelligent Complexity-Performance Tradeoff Model of Asynchronous Random Access Protocols in Distributed Edge Computing Using Software Science with Halstead
Abstract: The paradigm shift towards Distributed Edge Computing (DEC) has changed the entire world of the Internet of Things (IoT) connectivity to its core and has spawned the need to implement robust Asynchronous Random Access (ARA) protocols to deal with the contention between a huge range of diverse devices that are constrained by their resources. While there is now extensive optimization of these protocols in contemporary research for channel efficiency (throughput, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 Read article
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EZZY FUEL: An On-Road Fuel Delivery Application with Smart Reminder System
Abstract: Are you forgetting to fuel your vehicles on time? We bring you a solution by developing an “On-Road Fuel Demand Delivery Application with Smart Reminder System”. Such kind of fuel delivery is in practice in the US and UK and will attract many Indians too. This application when transformed into a business model will ease the lives of common people. We develop a customizable mobile on-road fuel demand delivery app …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 2, 2022 · pp. 34–60 Read article
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Enhanced Sustainable Concrete Mix Design Using LLMs and Advanced Machine Learning Techniques
Abstract: Large Language Models (LLMs) are emerging as transformative tools in materials science, offering human-like reasoning, zero-shot problem solving, and the ability to integrate fuzzy laboratory knowledge with structured data. This study extends and reinterprets the original systematic benchmark for using LLMs in sustainable concrete design, particularly for Alkali-Activated Concrete (AAC). We introduce an enhanced, multi-model framework combining LLM-based inverse design, Random Forest regression, Gaussian Process Regression (GPR), and a lightweight …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 26–33 Read article
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Differential Privacy-Aware Data Sanitization for Multi-Level Security
Abstract: Multi-level security (MLS) models are fundamental for enforcing mandatory access control in high-security environments such as government, military, healthcare, and finance. However, traditional MLS frameworks, including the Bell-LaPadula and Biba models, often create rigid data silos, preventing efficient data utilization. Differential privacy (DP) presents a novel solution by enabling controlled information leakage while preserving confidentiality. By injecting statistical noise into query results, DP allows lower-clearance users to access sanitized versions …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 42–52 Read article
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Tactile Sensing Technologies in Robotics: A Review of Sensors, Materials, and Applications
Abstract: Tactile sensing, which closely resembles the human sense of touch, is an essential capability in modern robotics. It enables robots to detect and interpret physical interactions with objects, surfaces, and living beings, thereby allowing them to operate more intelligently and adaptively in complex environments. Unlike visual or auditory sensors, tactile sensors provide direct feedback about contact, pressure, texture, force, temperature, and even vibration. These sensory cues are vital for improving …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 17–23 Read article
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AI-Driven Multi-Objective Optimization of Conductive Polymer Composites for High-Performance Flexible Electronics
Abstract: The development of conductive polymer composites (CPCs) is critical for advancing flexible and wearable electronic technologies. However, the conventional trial-and-error approach to material formulation is time-consuming and often inefficient due to the high-dimensional nature of the design space. This study introduces a novel AI-driven framework that integrates machine learning (ML) with multi-objective optimization to accelerate the discovery of high-performance CPCs. A dataset of 1,000 experimentally reported formulations was compiled, capturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 734–745 Read article
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Mucosal Vaccines in Fish: Novel Advances in Technology and Delivery: A Review
Abstract: Vaccines rely on the acquired immune system and prime an animal to a particular antigen so that on subsequent encounter; it is recognized and quickly destroyed. The vast majority of pathogens enter the body via the mucosal surfaces of the gastrointestinal, respiratory, and urogenital tracts, where they initiate mucosal infections that lead to systemic infections. There is strong evidence that an optimum mucosal immune response can prevent systemic infection and …
Published in Research and Reviews : A Journal of Immunology · Vol. 9, Issue 1, 2019 · pp. 14–26 Read article
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Federated Learning Framework for Sustainable Multi-Scale Design of Recyclable Thermoplastic Graphene Composites in Smart Manufacturing Environments
Abstract: The growing demand for sustainable advanced materials has accelerated the development of recyclable thermoplastic graphene composites for next-generation smart manufacturing systems. The typical central optimization methods have challenges with data privacy, scalability, and poor collaboration between distributed manufacturing sites. By combining material informatics, edge intelligence and distributed artificial intelligence, this study introduces a Federated Learning (FL) framework to design recyclable thermoplastic graphene composites at multiple scales sustainably. The proposed framework …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Import Substitute for Production of Ultrapure Water by Membrane Integrated Process for Medical and Biotechnological Applications
Abstract: The present invention discloses an inexpensive import substitute compact design of low-cost membrane process for the production of ultrapure water for dialysis and medical applications in different fields like pathological laboratories, biochemical analysis, sterilization and sanitation, dental and optical lens cleansers. The ultrapure water of demineralization (DM) process is related to the cascaded high- flux and high-selective membrane system for hyper permeation which is operated under the pressure of 3-7 …
Published in Research and Reviews : A Journal of Biotechnology Read article
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Remote Controlled Boat for Hyacinth Removal
Abstract: This research focuses on the design and production of Hyacinth infestation poses a significant ecological and economic challenge in many aquatic ecosystems, causing disruptions in water quality, biodiversity, and water transportation. To address this issue, we have developed a remote-controlled boat specifically designed for hyacinth removal. This innovative solution leverages the capabilities of autonomous watercraft, equipped with advanced sensors and a specially designed cutting mechanism, to efficiently and effectively manage …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 1, 2024 · pp. 20–26 Read article
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Designing an Energy Efficient Induction Motor: Advanced Computational Intelligence Technique
Abstract: Abstract—This paper presents an advanced computational intelligence technique (CIT), modified particle swarm optimization (MPSO) for designing energy efficient three-phase induction motor (DEEIM) including active power loss effect. PSO performs well for small dimensional and less complicated problems but fails to locate global minima for complex multi-minima functions. Even if PSO algorithm is easy to implement and has been shown to perform well on various power system optimization problems, they may …
Published in Current Trends in Information Technology · Vol. 9, Issue 2, 2019 · pp. 5–13 Read article
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Emerging Trends in Civil Engineering: Sustainability and Digital Transformation
Abstract: Civil engineering has long played a pivotal role in shaping society’s infrastructure, focusing traditionally on construction, design, and the structural integrity of buildings, roads, and bridges. However, recent years have witnessed a profound transformation in the field, driven by the urgent need for sustainable practices and the rapid evolution of technology. This paper provides an in-depth analysis of the latest trends that are redefining civil engineering, with a particular emphasis …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 8–11 Read article
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Persistent Atmospheric and Ecosystem Impacts of Enteric Methane Emissions from Intensive Livestock Production Systems
Abstract: Enteric methane emissions from intensive livestock production systems exert a significant long-lasting influence on atmospheric stability and ecosystem integrity. Recent observations confirm that global methane emissions continued to rise through the early 2020s, with total emissions exceeding 620 teragrams per year by 2024, driven by expanding ruminant production and associated feed systems. Anthropogenic sources accounted for more than 330 teragrams per year, reflecting sustained growth in agricultural and fossil fuel …
Published in International Journal of Atmosphere · Vol. 2, Issue 2, 2025 · pp. 18–38 Read article
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Evaluation of Performance Indicators for B2C E-Commerce Websites using GRA: A Case Study
Abstract: COVID-19 Pandemic made a tremendous inclination towards e-commerce websites, as the customers prefer online purchasing rather than traditional purchase. The country's demographic dividend also appears to foster and favor the rise of e-commerce. When coupled with the fierce rivalry that exists in the market, e-commerce enterprises' survival in a highly dynamic environment becomes a difficult undertaking. To ensure client loyalty, businesses must constantly adapt and develop while providing an information-rich …
Published in Journal of Production Research & Management · Vol. 11, Issue 2, 2021 · pp. 9–19 Read article
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Federated Learning for Privacy-Preserving AI Model Training Across Distributed Healthcare Systems
Abstract: Building effective AI diagnostic tools in clinical environments presents a fundamental contradiction — the patient data most critical to model performance is precisely the data subject to the strictest legal and institutional restrictions. Regulations such as HIPAA and GDPR, while essential for protecting patient rights, render conventional centralized training pipelines largely impractical in real hospital settings where data cannot be transferred, pooled, or shared across institutional boundaries. This paper presents …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Real-Time Cab Fare and ETA Prediction Using API Integration
Abstract: The exponential proliferation of ride-hailing platforms has necessitated the formulation of sophisticated and highly responsive predictive models for cab fare estimation and estimated time of arrival (ETA) computation. This work elucidates a robust framework leveraging real-time application programming interface (API) integration from Uber and Ola within a Flutter-based ecosystem to enhance predictive analytics. By assimilating real-time geospatial data, dynamic pricing algorithms, and latency-optimized API responses, this study investigates the empirical …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 08–15 Read article
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Smart Education in the Context of Puducherry India
Abstract: This paper explores the concept of smart education and presents its conceptual framework in the context of Puducherry. It aims to enhance the understanding of smart education by analysing its fundamental components, including educational challenges, technological innovations, management strategies, policy frameworks, historical evolution, and emerging trends. The adoption of smart education has accelerated significantly in recent years, particularly during the COVID-19 pandemic, when educational institutions worldwide transitioned from traditional classroom-based …
Published in Emerging Trends in Languages · Vol. 2, Issue 2, 2025 · pp. 10–17 Read article