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2000 articles for “methods” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Machine Learning-Based Channel Estimation for 5G NR Systems: A Comprehensive Review of TDL/CDL Channel Models and CNN Architectures
Abstract: Accurate channel estimation is a fundamental requirement for reliable communications in fifth-generation New Radio (5G NR) systems, where highly dynamic propagation environments impose severe challenges on conventional pilot-based methods. This study provides a thorough analysis of channel estimate methods for 5G NR, including everything from contemporary deep learning (DL) techniques based on Convolutional Neural Networks (CNNs) to traditional Least Squares (LS) and Minimum Mean Square Error (MMSE) estimators. Our analysis …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Entropy-Based Damage Accumulation in Tribological Systems: A Comprehensive Review
Abstract: This paper reviews classical wear models and entropy-based degradation approaches used for predicting failure in tribological systems. Various wear models, thermodynamic frameworks, and applications of the Degradation Entropy Generation (DEG) theorem are discussed. Friction, which is the primary source of heat generation in tribological contacts, is responsible for material degradation through a variety of irreversible processes. While classical wear approaches have been widely used for wear prediction and life estimation, …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 1–12 Read article
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Generative Lightweighting of Actuator-Integrated Robotic Structures Under Decentralized Additive Manufacturing Constraints
Abstract: This study presents the implementation and structural validation of a constraint-driven generative design methodology for the development of lightweight actuator-integrated robotic components fabricated using decentralized additive manufacturing. Building upon a previously formalized constraint-driven framework, the method was applied to the synthesis of a modular robotic link representative of actuator-integrated structural elements commonly used in legged robotic systems. The baseline component was defined to preserve critical functional interfaces, including actuator mounting …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 44–60 Read article
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An Energetic Materials for Sustainable Solutions
Abstract: Nanomaterials are typically described as engineered substances possessing at least one dimension between 1 and 100 nm. Materials at the nanoscale display distinctive or enhanced characteristics, such as increased chemical reactivity, superior sensing performance, and improved mechanical properties. Nanotechnology provides a straightforward, rapid, clean, and cost-effective approach for synthesizing a wide range of organic compounds, encouraging many researchers to transition from conventional synthetic techniques. This article aims to highlight the …
Published in International Journal of Energetic Materials · Vol. 12, Issue 1, 2026 · pp. 7–12 Read article
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 · pp. 12–17 Read article
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Airway Maintenance in Intensive Care Units
Abstract: Respiratory distress is a serious issue in critical care units. Maintaining patent airways is the basic vital procedure in intensive care units. Maintain Airways (Airway Management) is performed by various methods depending on the extent of trauma and need of ventilation and oxygen saturation. Nurses assist patients round the clock for basic and advanced care. It will be of crucial importance for nurses to know and understand the various methods …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 2, 2025 · pp. 28–37 Read article
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Use of Natural Language Processing for Hate Speech Detection on SocialMedia:
Abstract: The exponential growth of social media platforms has led to an increase in user- generated content, enhancing global connectivity but also facilitating the spread of harmful language, including hate speech. Addressing this issue requires robust, Naïve Bayes, Decision Tree, K-Nearest Neighbours (KNN), Linear Regression, and Random Forest—were tested, with Linear Regression achieving the highest accuracy automated systems for detecting and mitigating offensive content. This paper presents a comprehensive analysis of …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 9–16 Read article
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Green Nanotechnology: Innovative Approaches for Sustainable Mosquito Control – A Review
Abstract: Mosquitoes are well-known carriers of various parasites and viruses that can lead to several serious diseases in humans. Illnesses such as malaria, dengue fever, epidemic encephalitis B, and epidemic typhus are among the major health threats transmitted by these insects. Because effective vaccines are lacking for many mosquito-borne viruses (arboviruses), controlling the mosquito population remains the primary method for preventing these diseases. Unfortunately, the increasing resistance of mosquitoes to conventional …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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Hardware-Centric Analysis and Optimization of Perturb and Observe Techniques for Maximum Power Point Tracking in Solar Photovoltaic Systems
Abstract: Operating conditions like temperature and irradiance fluctuations can significantly reduce the power output of PV systems, presenting a key challenge. Additionally, contemporary MPPT methods demand high computational resources and face difficulties in maintaining optimal PV array output when weather conditions change quickly. The P&O technique, though widely used, falls short in accurate maximum power point tracking amid sudden shifts in solar insolation due to incorrect adjustments in the duty cycle. …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 1, 2025 Read article
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Ethical Issues and Implementation Challenges of Artificial Intelligence in ICU Care: A Critical Nursing Perspective
Abstract: Background: The integration of Artificial Intelligence (AI) in Intensive Care Units (ICUs) is rapidly advancing, with AI showing potential to improve patient outcomes by enhancing monitoring, predicting deterioration, and optimizing clinical decision-making. Despite its promise, the implementation of AI in critical care environments raises ethical and practical concerns. This study aims to evaluate the impact of AI on ICU outcomes and explore the associated ethical and implementation challenges. Objective:To assess …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 1, 2025 Read article
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Review and Analysis of Fault Detection in Self-Healing Hardware System
Abstract: Self-healing hardware systems represent a transformative advancement in fault tolerance, enabling devices to autonomously detect, diagnose, and recover from malfunctions to ensure continuous and reliable operation. This paper explores the critical role of fault detection techniques in self-healing systems, focusing on methods such as built-in self-test (BIST), redundancy, and machine learning-based approaches. These techniques facilitate proactive and real-time fault resolution, addressing the limitations of traditional reactive strategies. The study highlights …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 11–15 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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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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A Comparative Evaluation of Geopolymer, Conventional and GFRP Retrofitting Techniques in Augmenting Seismic Robustness of RC Structures
Abstract: Abstract The requirement of retrofitting an old existing structure, rendered structurally unsafe (based on its structural health assessment) is observed to be a major challenge faced by engineers as it necessitates comprehensive and complicated repair procedures. It was further seen that during earthquake, the main reason for failure of any structure was the failure of its beam column joints, thereby making it essential to strengthen them specifically. Until recently, the …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 1, 2025 · pp. 1–13 Read article
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Medical Research and Animal Experimentation: A Clash Between Ethics and Necessity
Abstract: Animal testing has played a crucial role in medical research, leading to major advancements like vaccines, treatments, and diagnostic methods. However, this remains a contentious issue due to ethical concerns regarding animal welfare, rights, and suffering. The growing awareness of animal sentience and the potential for pain and distress have intensified ethical debate, prompting efforts to refine regulatory frameworks and research practices. While principles, such as the “Three Rs” (Reduction, …
Published in International Journal of Animal Biotechnology and Applications · Vol. 11, Issue 1, 2025 · pp. 29–36 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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Hardware-Centric Analysis and Optimization of Perturb and Observe Techniques for Maximum Power Point Tracking in Solar Photovoltaic Systems
Abstract: Operating conditions like temperature and irradiance fluctuations can significantly reduce the power output of PV systems, presenting a key challenge. Additionally, contemporary MPPT methods demand high computational resources and face difficulties in maintaining optimal PV array output when weather conditions change quickly. The P&O technique, though widely used, falls short in accurate maximum power point tracking amid sudden shifts in solar insolation due to incorrect adjustments in the duty cycle. …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 1, 2025 Read article
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A Pre-Experimental Study To Assess The Effectiveness Of Structured Teaching Programme On Knowledge Regarding Integrated Management Of Neonatal And Childhood Illness (IMNCI) Among Multi-Purpose Health Workers In Selected Health Center Of District Mohali, Punjab
Abstract: Introduction: Children are our future, representing our most valuable resource and a key asset to any nation. The children of today are the citizens of tomorrow, the emerging human resources and future leaders of the country. Healthy children are not just assets, but also the foundation for building a strong and prosperous nation. It is our responsibility to nurture and protect them, and programs aimed at children should play a …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 11, Issue 1, 2025 · pp. 29–34 Read article