Search
119 articles for “IOT”
-
A Smart App-Based Irrigation System for Sustainable Agriculture
Abstract: Abstract : Agriculture is significant factor in meeting up with the needs of the future, as well as the world's population that is likely to increase significantly in the coming years but agriculture is highly dependent on the availability of water. In many places erratic rains and scarce water resources have meant traditional irrigation methods have been inefficient and unsustainable. Farmers often use fixed time or judgment in irrigating the …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 · pp. 41–49 Read article
-
Digital Twin-Enabled Structural Health Monitoring Framework for Real-Time Damage Detection in Civil Infrastructure
Abstract: Abstract The paper discusses how Digital Twin-enabled Structural Health Monitoring (SHM) restyles civil infrastructure by finding damage in real time, decreasing costs, and increasing safety levels. As opposed to the traditional inspection methods, Digital Twins apply virtual models and sensors to observe structures like bridges, dams, and buildings immediately, which reduces the repair costs by 30–50% and extends the project’s lifespan by 20–30%. This research studies four real-world projects, namely, …
Published in International Journal of Construction Engineering and Planning · Vol. 12, Issue 1, 2026 Read article
-
AI-Integrated Precision Agriculture System for Fertilizer Optimization, Multimodal Crop Yield Prediction
Abstract: Agriculture is rapidly transforming into a data-driven ecosystem supported by advances in artificial intelligence (AI), Internet of Things (IoT) sensor networks, and satellite remote sensing technologies. These innovations enable precision-driven decision-making aimed at improving productivity while minimizing environmental impact. This paper presents an AI-integrated precision agriculture system designed to optimize fertilizer usage and enhance crop yield prediction accuracy through a robust multimodal deep learning framework. The proposed approach integrates heterogeneous …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 1, 2026 · pp. 11–17 Read article
-
Hybrid Machine Learning and Deep Learning approach for Adaptive congestion control in 5G/6G Network
Abstract: The rapid growth of data traffic, fueled by emerging applications such as autonomous systems, augmented reality (AR), virtual reality (VR), and the Internet of Things (IoT), poses major challenges for modern communication networks. With the rollout of 5G and the continuous transition to 6G, sophisticated congestion control techniques are needed to satisfy the demanding requirements of massive machine-type communication (mMTC), ultra-reliable low-latency communication (URLLC), and improved mobile broadband (eMBB). Conventional …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
-
4 X 4 Multi-band MIMO Antenna: A Study
Abstract: The insatiable demand for higher data rates and improved connectivity in modern wireless communication systems critically relies on Multiple Input Multiple Output (MIMO) technology. However, the effective realization of MIMO's benefits, particularly in compact devices, is fundamentally constrained by the physical limitations of antenna design, primarily mutual coupling between radiating elements and high spatial correlation. This paper presents the design, analysis, and optimization of a novel 4x4 multi-band MIMO antenna …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 2, 2025 · pp. 19–29 Read article
-
Artificial Intelligence Applications in Mechanical Engineering: A Pathway to Industry 4.0
Abstract: Abstract— The emergence of Industry 4.0 signifies a groundbreaking change in the industrial landscape, propelled by the integration of cyber-physical systems, the Internet of Things (IoT), and artificial intelligence (AI). This period represents the convergence of digital technologies with conventional manufacturing practices, resulting in the development of intelligent, interconnected, and autonomous production settings. For mechanical engineering—traditionally focused on physical systems, manual design, and empirical approaches—this shift has brought about an …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 · pp. 1–6 Read article
-
STRATEGIES FOR SMOOTH TRAFFIC MANAGEMENT
Abstract: Abstract - Pune, one of India’s fastest-growing metropolitan cities, faces severe traffic congestion due to rapid urbanization, increasing vehicular density, and inadequate transport infrastructure. This research paper explores the challenges associated with traffic management in Pune and evaluates existing solutions implemented by local authorities. Through case studies of critical traffic zones such as Katraj, Nal Stop, Warje, and Hadapsar Road, we identify key congestion factors, including poor road design, improper …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 19–24 Read article
-
Securing the Edge with Artificial Intelligence, Cyber Defense: Privacy Protocols in Distributed Sensor Networks and Cloud–Fog Ecosystems
Abstract: In the rapidly developing distributed computing, edge devices, and Internet of Things (IoT) networks are propelling a revolution in intelligence and connection in today’s digital world. Low-latency compute, robust security measures, and privacy-preserving methods are being demanded by the vast number of connected devices and the enormous volume of real-time data they produce. Common and centralized cloud-based solutions are strong, but they use a large dispersed system to handle time-sensitive …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
-
Digital Twin-Enabled Structural Health Monitoring Framework for Real-Time Damage Detection in Civil Infrastructure
Abstract: Abstract The paper discusses how Digital Twin-enabled Structural Health Monitoring (SHM) restyles civil infrastructure by finding damage in real time, decreasing costs, and increasing safety levels. As opposed to the traditional inspection methods, Digital Twins apply virtual models and sensors to observe structures, like bridges, dams, and buildings immediately, which reduces the repair costs by 30–50% and extends the project’s lifespan by 20–30%. This research studies four real-world projects, namely, …
Published in International Journal of Construction Engineering and Planning · Vol. 12, Issue 1, 2026 · pp. 1–9 Read article
-
Smart Agro-Advisory Systems: AI-Based Platforms for Real-Time Farmer Decision Support
Abstract: Agriculture is a vital sector for food security and economic growth, particularly in the developing world. Farmers, however, often face unpredictability of weather conditions, insect attacks, wasteful use of resources, and uncertainties of the market. Farmers' practices are mostly based on experience and intuition, which might not always be the best to apply. Smart Agro-Advisory Systems (SAAS) based on Artificial Intelligence (AI) offer real-time decision support to farmers, enabling them …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 8–14 Read article
-
A Comprehensive Review of Smart Parking Systems: Technologies, Challenges, and Future Directions
Abstract: Abstract Smart Parking Systems (SPS) are gaining significant attention as a critical solution to address the growing concerns of urban congestion, inefficient use of parking spaces, and environmental sustainability. This paper presents a comprehensive review of SPS, focusing on the key technologies, challenges, and future directions. We explore the integration of advanced technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and sensor networks in …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 1–13 Read article
-
Reimagining Urban Living: An Architect’s Approach to Smart Residential Colonies
Abstract: This paper will explore the concept of a new residential colony model that responds to the significant social, technological, and environmental transformations currently shaping urban environments. As urbanization accelerates and the global population continues to rise, there is an urgent need for housing solutions that address both the challenges of modern living and sustainability. The smart residential colony model will aim to create a harmonious balance between these needs, integrating …
Published in International Journal of Housing and Human Settlement Planning · Vol. 11, Issue 1, 2025 · pp. 37–57 Read article
-
Managing E-Waste with Technology: Recycling Potential
Abstract: E-waste is a major environmental and health issue in the digital age. Rapid technical breakthroughs and rising electronic device consumption have increased global e-waste volumes. To reduce environmental risks, recover valuable resources, and promote sustainability, e-waste must be managed and recycled. This article discusses how technology is improving e-waste collection, sorting, and recycling. It shows the possibilities of AI-powered garbage sorting systems, IoT integration for waste stream tracking, and hydrometallurgy …
Published in International Journal of Green Chemistry · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
-
Advancements in Predictive Maintenance: A Review of Data-Driven Approaches, Machine Learning, and AI in Diverse Industrial Landscapes
Abstract: The Internet of Things (IoT), the use of machine learning (ML), and artificial intelligence (AI)-driven advances in predictive maintenance are the key topics of this study. With the goal of offering a thorough grasp of existing approaches and potential future developments, it analyzes applications in predictive maintenance in many sectors. Predictive maintenance approaches are the major topic of discussion, with an emphasis on their advantages, disadvantages, difficulties, and prospects. Additionally, …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 19–32 Read article
-
Health Monitoring System for Fault Identification on Centrifugal Pump Using ML
Abstract: Centrifugal pumps are crucial equipment widely used in various industries, and their reliable operation is essential for maintaining production and preventing costly downtimes. This paper proposes a comprehensive health monitoring system for centrifugal pumps that combines model-driven and data- driven approaches, leveraging artificial intelligence (AI) and machine learning (ML) techniques. The system incorporates demand prediction using artificial neural networks and fault diagnosis employing different ML classifiers, such as decision trees …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 1–12 Read article
-
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
-
Solar Powered Water Trash Collector
Abstract: The design and deployment of a solar-powered trash collecting bot that uses Internet of Things (IoT) technology and Arduino for remote control and monitoring are given in this paper, The initiative is being carried out to assist clean the environment, notably swimming pools, by using renewable energy, specifically the sun, as a more efficient power source, The boat has two motors, an L298N motor driver, an HC-05Bluetooth module, an ESP2866 …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 10, Issue 1, 2024 Read article
-
Harmonizing Innovation: Exploring the Future of Smart Spaces
Abstract: Abstract: The inception of the harmonizing innovation was fueled by a forward-thinking vision aimed at revolutionizing interior spaces through the seamless integration of adaptive design concepts and cutting-edge technological advancements. At the core of our approach lies an interactive dialogue between design creation and inhabitants, facilitated by the incorporation of Artificial Intelligence tools. Through case studies drawn from numerous projects, the evolution of integrating smart solutions into interior design emerges …
Published in International Journal of Town Planning and Management · Vol. 10, Issue 1, 2024 · pp. 41–53 Read article
-
Development of a Framework to Improve Sustainable Manufacturing and Service Economics Using ISM for Food Industries
Abstract: The goal of this study is to look to the most important sustainable practices that fresh food start ups can use to improve their resilience and environmental responsibility. It also aims to identify the difficulties and impediments these companies face when putting these sustainable strategies into effect. Fresh food startups can integrate several sustainable techniques and innovations into their operations, as identified by the study. These include using IoT technology …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 10, Issue 1, 2024 · pp. 1–10 Read article