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289 articles for “Application methodology”
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Physico-Chemical Soil Analysis: A Scientific Approach to Life on Land and Terrestrial Ecosystem Conservation for Supporting SDG 15 Goals
Abstract: Soil health and fertility evaluation are foundational elements in the sustainable management of ecosystems and the enhancement of agricultural productivity. Accurate assessment of soil properties, especially Carbon (C), Nitrogen (N), and Phosphorus (P), is critical for informed decision-making in agriculture and environmental conservation. However, traditional laboratory methods for analyzing these essential nutrients often involve significant resource allocation and time commitments, making them less practical for large-scale or time-sensitive applications. To …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 1, 2025 · pp. 25–23 Read article
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Phytotherapeutic Potential of Melaleuca: An Integrative Review of Phytochemistry and Antimicrobial, Antifungal, Antioxidant, and Antiviral Mechanisms
Abstract: Melaleuca alternifolia and other species of the Melaleuca genus stand out for the broad spectrum of pharmacological properties attributed to their bioactive compounds, such as monoterpenes, sesquiterpenes, flavonoids, and polyphenols. This study aimed to critically review and analyze scientific evidence produced between 2005 and 2025 regarding the antimicrobial, antifungal, antioxidant, and antiviral activities of Melaleuca, correlating its phytochemistry with molecular mechanisms of action. For this purpose, an integrative literature review …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 2, 2026 Read article
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An Analysis of Multimodal Fusion in Deepfake Detection for Video Samples
Abstract: In today’s rapidly evolving digital landscape, deepfake technology stands as both a marvel and a threat to privacy and security. Deepfakes, hyper-realistic synthetic media created using artificial intelligence (AI), can deceive and manipulate on an unprecedented scale, from political propaganda to compromising videos of public figures. This research navigates deepfake detection, focusing on two advanced methodologies: the vision transformers (ViT) image classifier and the Meso4 method. The ViT model utilizes …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 19–27 Read article
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A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
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AI-Assisted Optimization of Supersonic Airfoil Shapes Using CFD Coupling
Abstract: This paper presents a novel framework for optimizing supersonic airfoil geometries through integrated artificial intelligence and computational fluid dynamics coupling. Traditional gradient-based optimization methods for high-speed aerodynamic shapes suffer from computational expense and convergence difficulties in non-convex design spaces. The proposed methodology employs a deep neural network surrogate model trained on high-fidelity Reynolds-Averaged Navier-Stokes solutions to approximate aerodynamic performance metrics across the design space. A hybrid particle swarm-genetic algorithm searches …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 Read article
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Machine Learning Framework for Optimizing Polymer–Metal Oxide Composites as Charge Selective Layers in Perovskite Solar Cells
Abstract: To achieve high-performance and stability of perovskite solar cells (PSCs), it was important to incorporate innovative interfacial materials to tune the balanced charge extraction, low recombination, and enhanced operational lifespan. On this note, polymer composites with metal oxides have been proposed as promising candidates as charge selective layers (CSLs), whereby they present a rare combination of tunable energy levels, improved film forming abilities, and better interface engineering capabilities. In this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1073–1098 Read article
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Applying Text Analysis Methods for Emotion Recognition
Abstract: This article presents a comprehensive study of sentiment analysis, a vital task in the realms of natural language processing (NLP) and artificial intelligence (AI). Sentiment analysis involves the extraction and classification of subjective information from textual data, determining whether the sentiment expressed is positive or negative. This paper investigates different approaches and methodologies used in sentiment analysis, encompassing machine learning models as well. Additionally, it discusses the challenges faced in …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 12–22 Read article
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Implementing Blockchain to Enhance Security in the Pharmaceutical Industry and Combat Drug Counterfeiting
Abstract: Drug counterfeiting has emerged as a critical threat to public health, as it has enabled inferior and counterfeit drugs to flood many markets around the world thereby eroding trust in healthcare systems and patient safety. This paper seeks to address the glaring need for adequate security safeguards to curb the circulation of counterfeit drugs by proposing a blockchain model designed specifically for the pharmaceutical industries. In general, the idea of …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 33–46 Read article
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A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Entropy, Symmetry, and Data Fusion: Emerging Methods in Multi-Objective Decision- Making and Smart Systems
Abstract: In the era of intelligent technologies and data-driven systems, multi-objective decision-making (MODM) has become an essential aspect of managing complex environments such as smart cities, autonomous systems, and cyber-physical networks. As decision-making scenarios become increasingly dynamic and uncertain, there is a growing need for advanced methodologies that can handle diverse objectives, conflicting constraints, and incomplete information. This review highlights the emerging role of entropy, symmetry, and data fusion as foundational …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 44–49 Read article
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A Security Investigation Survey of Ransomware Detection and Avoidance Strategies for IoT Networks
Abstract: The internet of things (IoT) refers to the interconnection of a large number of distinct physical objects, which in turn makes possible a variety of services and applications. Because the IoT sector is developing at such a rapid rate, ensuring its safety ought to be a high concern. At this time, ransomware attacks constitute the biggest danger to IoT posed by cyberattacks. Ransomware is software that blocks access to or …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 14–23 Read article
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Harnessing Marine Byproducts and Optimization of Biopolymer Extraction Quality Using Response Surface Methodology and Study of Its Physicochemical Properties
Abstract: Chitosan, a versatile biopolymer derived from chitin, holds immense potential across various industries owing to its antimicrobial, antioxidant, and biocompatible properties. This study aims to optimize the deacetylation process of chitin, sourced from shrimp shells, using Response Surface Methodology (RSM) to produce high-quality chitosan. The Box-Behnken Design (BBD) was employed to evaluate the effects of temperature, time, and alkali concentration on the degree of deacetylation (DD%), a key determinant of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 125–139 Read article
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Catalyst: Free Synthesis of Bioactive Molecules via Green Chemical Principles
Abstract: This study explores the catalyst-free synthesis of bioactive molecules, emphasizing the application of green chemical principles. Traditional synthetic methods often rely on hazardous reagents, solvents, and metal catalysts, which can pose significant environmental and health risks. In contrast, the catalyst-free approach leverages benign reaction conditions, such as solvent-free systems, ambient temperature, and pressure, to achieve efficient and selective transformations. We present a comprehensive investigation into various bioactive molecule syntheses, including …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 1, 2024 · pp. 17–21 Read article
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Role of Artificial Intelligence in Simulation and Therapeutics in Neurodegenerative Diseases
Abstract: Neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, etc., are a cause of significant mortality rates due to a lack of curative treatments and their complex nature. Traditional therapeutic methodologies have several disadvantages such as slow diagnosis and a lack of effective treatments. They mainly focused on the management of the disease rather than curing it. The integration of artificial intelligence in the simulation and therapeutics of neurodegenerative …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 19–29 Read article
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Encoding-Decoding Algorithm Using the Catalan Transform of Weighted Tribonacci Sequence
Abstract: In order to improve information security, this paper presents a unique algorithm for encoding and decoding messages utilizing the Catalan Transform of a Weighted Tribonacci Sequence. Utilizing the Catalan and Tribonacci sequences, the methodology combines the concepts of number theory and combinatorics to create an effective encryption and decryption process. First, an array is created by mapping each character in the plaintext message to its corresponding ASCII value. The ASCII-weighted …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 3, 2024 · pp. 12–16 Read article
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Hybrid Approach for Community Detection Using Deep Learning Techniques
Abstract: Community detection in complex networks is a fundamental problem with applications across diverse domains, ranging from social networks to biological systems and beyond. Traditional methods based on graph theory have been widely used for identifying communities within networks. However, the intricate and evolving nature of modern networks demands more sophisticated approaches. This research work proposes a hybrid approach that combines the strengths of deep learning techniques with traditional community detection …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 18–26 Read article
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Simulation and Experimental Analysis of Heat Treatment for Steel Tie Rods: A Review
Abstract: The study is related to the actual heat treatment and simulation of the physical deformation of the steel tie rod and compares the observations for process optimization. The general methodology is to go for either traditional or induction hardening after getting the chemical composition of the material, followed by tempering, which is a key technique for improving the mechanical properties of materials, strength, hardness, etc., and to release stresses. This …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 43–51 Read article
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Optimized Design and Control of Oil Exploitation Strategies: An Assisted Approach
Abstract: Because there are so many factors and scenarios to consider, optimizing oil exploitation tactics requires complicated decision-making. Conventional approaches frequently concentrate on particular elements of the design infrastructure, which restricts their capacity to fully handle the process. In order to maximize a set of oil exploitation variables in a hierarchical fashion, this research proposes a novel assisted optimization technique that combines mathematical algorithms with engineering analysis. By grouping variables into …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 29–34 Read article
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Passenger car fuel economy: Insights from big data analytics
Abstract: The increasing availability of real-world vehicle telematics through On-Board Diagnostics II (OBD-II) systems has enabled data-driven evaluation of passenger car fuel economy beyond conventional laboratory-based test cycles. While standardized certification procedures ensure repeatability, they often fail to capture the influence of real-world traffic conditions, driver behaviour, and transient vehicle operation. This study presents a structured Big Data Analytics (BDA) approach for analysing high-frequency OBD-II data collected from a gasoline passenger …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 8–19 Read article
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Effectiveness of Spencer Technique of Mobilization on Adhesive Capsulitis: A Single Case Study
Abstract: Background: Frozen shoulder, or adhesive capsulitis, is a condition characterized by pain, restricted motion, and stiffness in the shoulder joint. This occurs due to inflammation and the thickening of the joint capsule. The Spencer technique, is a manual therapy method consisting of seven steps designed to improve shoulder function by enhancing joint mobility, circulation, and lymphatic flow. These movements target shoulder extension, flexion, circumduction, abduction, and adduction, to reduce stiffness …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 14–20 Read article