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1045 articles for “U-net”
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Transfer Learning Based High-Precision Multi-Class Object Detection for Real-Time UAV Autonomous Landing via YOLOv8l in Unstructured Scenarios
Abstract: A significant challenge for autonomous drone landings in unstructured environments is that of reliably detecting and identifying objects in real-time to ensure safety and accuracy of the landing area. This paper presents a well-founded method for solving this problem using the YOLOv8l object detection framework to detect landing zones, obstacles and people in the relevant vicinity of the landing area. The dataset used for the training of the model contained …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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An Intelligent cloud system for disaster communication and management involving IoT mesh networks
Abstract: Disaster coordination and communication are key areas of rescue. Nevertheless, the frequent interruptions in old communication channels underscore the need for alternative approaches. Modern communication technologies play a critical role in enhancing disaster management. This study proposed an effective approach wherein a local communication network is created which will aid emergency responders in responding to disasters, with the aim of improving their ability to handle emergencies quickly and efficiently. Advanced …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
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Routing Protocols in FANETs with Future Enhancements
Abstract: Flying Ad Hoc Networks (FANETs), which are swarms of Unmanned Aerial Vehicles (UAVs), are an emerging solution which revolutionized the area of mission-critical and infrastructure-less communication systems. These networks provide real-time data transfer for use cases such as disaster relief, battlefield observation, environmental monitoring, and 6G-based smart cities. However, the dynamic profile of FANETs, which is defined by high 3D mobility, limited energy resources, unstable wireless links, and constant topology …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 8–13 Read article
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Assessment of Differential Global Positioning System (DGPS Technology for Generating Accurate Topographic Maps and Controls: A Case Study of Farin-Lamba to Kwali College Area
Abstract: This study investigates the application of Differential Global Positioning System (DGPS) for topographic mapping and control point establishment in Farin-Lamba to Kwali College Area. The second order Survey controls extension are critical indices for ensuring structural and border control mechanisms in environmental development projects. However, creating these controls using traditional ways presents major obstacles. Most modern techniques are improvements on ancient approaches, which raises the possibility of environmental dangers and …
Published in International Journal of Land · Vol. 2, Issue 1, 2025 · pp. 11–23 Read article
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Network Pharmacology and Molecular Docking Approach to Reveal the Underlying Mechanisms of Isorhamnetin in the Treatment of Lymphangitis Carcinomatosis
Abstract: Objective: Lymphangitic carcinomatosis (LC) is a tumor that spreads through lung lymphatics and is most commonly seen secondary to adenocarcinoma. In the majority of cases, LC is a result of tumor cells spreading through the lymphatic system. However, approximately 20% of LC cases can be attributed to lymphangitis caused by tumors obstructing lymphatic drainage. This blockage commonly occurs near the lung hilum, where a centrally located mass can cause inflammation …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 1, Issue 1, 2023 · pp. 28–45 Read article
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Automatic Lightning and Control System
Abstract: This study describes the design and execution of a novel Automatic Lightning and Control System, which turns on and off electrical devices, including lighting circuits, automatically when people are present and off when they are not. Improving the electrical system's dependability and efficiency is the system's goal. Most universities squander a large amount of electrical energy turning on and off fans, computers, and other devices. This system is designed to …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 3, 2024 Read article
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Smart Tracks: Navigating Urban Transit with IoT-enabled Bus Networks
Abstract: Public transportation is a lifeline for countless individuals globally, providing essential connectivity for daily commutes to work and school. However, numerous challenges such as bus delays and inefficient space on the buses often hinder the travel experience. It's crucial to resolve these issues to achieve an efficient public transport system. A promising solution lies in the adoption of an IoT-based application. With this technology, one can track the real-time location …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 1–8 Read article
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Elderly Healthcare Using Federated Learning Approach
Abstract: The healthcare system for elderly people faces several challenges, which can be addressed using advanced machine learning models. These models can help monitor chronic diseases, detect falls, and provide personalized health recommendations. The study uses comprehensive datasets like MIMIC-III/IV, WESAD, and UCIHAR to explore human movements, device limitations, and the differences in fall occurrences. A detailed review of existing literature discusses current technologies for activity monitoring and fall detection, focusing …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 13–23 Read article
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Smart Shuttle System: An IoT and Machine Learning Based Approach
Abstract: The Smart Shuttle System is an IoT-based system designed to provide a hassle-free, cashless payment experience for students using the shuttle service. The system utilizes RFID (Radio Frequency Identification) technology to identify students and deduct the fare amount from their account. Radio Frequency Identification (RFID) technology is being considered as an alternative to traditional money and Unified Payments Interface (UPI) for making payments due to several advantages it provides over …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 1, 2023 · pp. 9–22 Read article
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Advancements in Intrusion Detection: Tackling Imbalanced Network Traffic with Machine Learning and Deep Learning Techniques
Abstract: Malicious cyberattacks can frequently hide enormous amounts of typical data in unbalanced network traffic. It is very stealthy and obfuscating in cyberspace, which makes it challenging for Network Intrusion Detection Systems (NIDS) to guarantee the precision and promptness of detection. This essay investigates. Machine learning and deep learning are utilized for intrusion detection in imbalanced network traffic. It offers a novel method for addressing the problem of class imbalance termed …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 18–24 Read article
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Comprehensive Security Frameworks for 6G Wireless Networks: Analysis and Insights
Abstract: As the transition from 5G to 6G wireless communication networks accelerates, the landscape of network security is undergoing a profound transformation. This work presents a comprehensive study of emerging security challenges associated with 6G wireless networks. With 6G anticipated to support unprecedented data rates, ultra-low-latency, and seamless integration of diverse technologies such as the Internet of Things (IoT), artificial intelligence (AI), and augmented reality (AR), the security paradigm must evolve …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 2, 2024 · pp. 35–41 Read article
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Conceptualization of An Intelligent Decision Framework for Control Factors and Weld Quality Prediction
Abstract: To improve the robot's welding quality, control welding precision, optimize welding parameters, realize continuous welding quality database optimization, and increase welding defect detection, a fuzzy neural network-based intelligent decision-making system must be built. This study demonstrates how fuzzy control theory and BP neural networks may be used to identify welding issues and enhance process variables. The experimental findings indicate that, with seam classification accuracy close to 90%, enhancing welding parameters …
Published in Journal of Polymer & Composites · Vol. 11, Issue 6, 2023 · pp. 10–19 Read article
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Machine Learning Optimization for VARTM Carbon Polymer Laminates
Abstract: Vacuum-assisted resin transfer moulding (VARTM) is a key low-cost, out-of-autoclave process for manufacturing large-scale carbon-fibre reinforced polymer (CFRP) laminates crucial to aerospace wings, wind-turbine blades, marine hulls, and automotive structures. Unpredictable resin flow often leads to voids, dry spots, and race-tracking defects, resulting in 27.9% scrap rates and lengthy, costly trial-and-error design cycles. Although surrogate models provide rapid impregnation predictions for simple flat-plate geometries, vision-based monitoring is limited to idealized …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 229–245 Read article
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Designing Digital Filters of Underwater Wireless Sensor Node
Abstract: Underwater Wireless Sensor Networks (UWSNs), an emerging area, integrate sensing, computing, and communication into a single compact device. The digital data is acquired using an FPGA (Field Programmable Gate Array), and the fusion of numerous sensor data is accomplished in the sensor node’s ARM (Advanced RISC Machine) CPU. The sensor interfacing circuit should connect the sensor to the sensor node’s data collecting system. The data from these sensors may be …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 1, Issue 1, 2023 · pp. 43–53 Read article
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Shell Scripting and Unix Programming: Foundations and Techniques
Abstract: Shell scripting and Unix programming are essential components of modern computing, enabling users to automate repetitive tasks, manage system operations, and optimize productivity. Unix, known for its robustness and multi-user capabilities, provides a powerful command-line interface (CLI) that allows efficient system interaction. Shell scripting enhances this functionality by enabling users to execute sequences of commands, making automation seamless and reducing manual effort. Different scripting paradigms: imperative, procedural, functional, and event-driven, …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 1, 2025 · pp. 10–16 Read article
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Disaster Impact Assessment Using Multi-Sensor Satellite Data: An AI-Based Remote Sensing Approach
Abstract: Natural disasters such as floods, earthquakes, and wildfires cause significant damage to human life and infrastructure every year. Rapid and accurate assessment of the affected areas is essential for effective disaster response and recovery planning. Traditional image-based analysis using single-sensor data often fails under adverse conditions such as cloud cover, smoke, or poor lighting. To overcome these limitations, this study proposes a novel framework for disaster impact assessment using multi-sensor …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 10–22 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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Efficient Machine Defect Detection with Sugeno Fuzzy Membership and GRU Networks for Robust Industrial Automation
Abstract: Machine fault detection is of immense significance in industrial automation to achieve efficient operations, reduced downtime, and reduced economic losses. Sugeno fuzzy logic and Gated Recurrent Unit (GRU) networks are used in this research to provide a new hybrid solution that addresses problems such as noisy data, evolving defect patterns, and real-time detection. To improve readability and reliability, the Sugeno fuzzy logic unit preprocesses fuzzy and uncertain input data into …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 17–26 Read article
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Resource Reservation Approach: Application in Wireless Network
Abstract: This paper presents an enhanced resource reservation and call admission control strategy tailored for cellular networks. The proposed method uses user mobility trends to improve the efficiency of resource usage while avoiding significant network congestion. The call admission control mechanism is activated each time a new or handoff service request occurs, ensuring that resources are allocated efficiently to uphold a steady quality of service (QoS) for multimedia traffic. This mechanism …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 1, 2025 · pp. 9–12 Read article
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Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security Read article