International Journal of Microwave Engineering and Technology
Volume 11, Issue 1 (2025)
Table of contents
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AI-Driven Hybrid Neural Network Architecture for Medical Image Segmentation: A Novel Approach for Early Disease Detection
Abstract: One of the key factors in detecting early diseases is medical image segmentation. Medical image segmentation can be very complex due to the differences in image quality, noise, and specific anatomical structures of individual patients. A novel approach for a hybrid neural network structure that combines the power of convolutional neural networks, and the transformer-based models is described here for improved accuracy and robustness of medical image segmentation. Unlike traditional …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
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Wireless Sensor Networks and Its Clustering Algorithm
Abstract: Distributed sensor nodes that gather and send data wirelessly make up Wireless Sensor Networks (WSNs), which are crucial for several applications, including industrial automation, smart cities, healthcare, and environmental monitoring. However, effective data transfer and network management are crucial issues because of their constrained battery life and processing power. By grouping sensor nodes, lowering energy usage, and extending network lifespan, clustering algorithms are essential for improving network efficiency. To reduce …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
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Deep Learning for Smarter Farming: Innovations in Plant Disease Identification
Abstract: Agriculture is the backbone of global food security, yet plant diseases significantly impact crop yields and farmers' livelihoods. Traditional disease detection methods are often time-consuming and require expert intervention, making them less feasible for large-scale farming. Recent advancements in deep learning have revolutionized plant disease identification by offering automated, accurate, and efficient solutions. This article explores innovative deep learning techniques, including convolutional neural networks (CNNs) and transformer-based models, that enhance …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 27–32 Read article
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Adaptive Clustering Strategies for 5G-IoT Wireless Sensor Networks: Insights into Neuro-Fuzzy Approaches
Abstract: The new cellular network standard is 5G. The Internet of Things, or IoT, is growing and changing quickly. Massive cellular bandwidth increases brought about by 5G make it much simpler for the Internet of Things to connect many devices. Current LTE networks will be ten times slower than 5G. This increase in speed will allow IoT devices to communicate and share data faster than ever. In this research, we have …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 33–55 Read article
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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