Search
1951 articles for “technique” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Optimal Homotopy Analysis Method (OHAM) For the Approximate Series Solution of Non-linear Partial Differential Equation
Abstract: In this article, we have used the Optimal Homotopy Analysis Method (OHAM), which is a basically semi-analytic method to solve differential equations. The ability for the user to choose the convergence control parameter, auxiliary linear operator, auxiliary function, and starting approximation is what sets apart the OHAM technique. We guaranteed the efficacy and efficiency of the procedure by fine-tuning the convergence control parameter. We solved a non-linear partial differential equation …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 1, 2024 Read article
-
Extraction and Compound Analysis of Bauhinia acuminata: Soxhlet Method and Identification
Abstract: In the present study, the extraction and compound analysis of Bauhinia acuminata using the Soxhlet method, coupled with identification techniques, were conducted. Bauhinia acuminata L., a member of the Leguminosae (Fabaceae) family in the Caesalpinioideae subfamily, is a shrub usually reaching a height of around 3 m. It is native to tropical Southeast Asia and commonly found in the tropical regions of India and China. Primarily grown for ornamental purposes, …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 2, 2024 · pp. 18–23 Read article
-
Advanced Helmet Recognition System with Integrated Number Plate Detection for Enhanced Traffic Monitoring Using Deep Learning
Abstract: This study focuses on the crucial problem of non-adherence to traffic regulations, particularly with the compulsory use of helmets by motorcyclists. Motorcycle accidents have a greater mortality rate compared to other types of accidents, indicating a need for a more effective enforcement strategy. Current procedures depend on traditional techniques where traffic officers manually observe traffic rule infractions through patrols and monitoring CCTVs, requiring substantial labor and time resources. The inherent …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 9–18 Read article
-
Using Machine Learning for Key phrase Extraction in Digital Libraries
Abstract: Machine learning has revolutionized various aspects of information retrieval, including key phrase extraction in digital libraries. Key phrase extraction is crucial for summarizing and categorizing vast amounts of textual data, enabling efficient search and retrieval processes. This study explores the application of machine learning techniques for automatic key phrase extraction in digital libraries. We review various supervised and unsupervised learning algorithms, including deep learning models, that are employed to identify …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 8–13 Read article
-
Non -Invasive Ways to Detect Cancer
Abstract: Cancer is a diverse group of diseases characterized by uncontrolled cell growth and division, affecting millions worldwide and being a leading cause of death. The disease typically involves genetic alterations that disrupt the normal balance of cell growth, leading to the formation of tumors. Tumors can be benign, posing no threat as they do not spread, or malignant, capable of invading nearby tissues and metastasizing. There are more than 100 …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 2, 2024 · pp. 59–67 Read article
-
Integral Sliding Mode Control: A Review of Applications
Abstract: Integral Sliding Mode Control (ISMC) has emerged as a robust and efficient method for handling nonlinear systems with uncertainty, turbulence and external disturbances. This study provides a detailed review of ISMC and its design foundations, design methods, practical application aspects and recent developments are included. ISMC design methodology is explored, to be extended with various design methods with different design methods. Recent advances in research, chatter reduction techniques, applications in …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 1, 2024 · pp. 25–35 Read article
-
Investigation on Dry Sliding Wear Behaviour of AlSi7Mg0.3/B4C/ZrO2 Hybrid Composites using Taguchi Method
Abstract: Hybrid Aluminium/Boron carbide/Zirconium oxide (AlSi7Mg0.3/B4C/ZrO2) composites were fabricated utilizing stir casting technique by varying boron carbide content (4wt.%, 8wt.% and 12wt.%) and utilizing a fixed amount (4wt.%) of zirconium oxide particles. Optical microscopy revealed that B4C and ZrO2 particulates were dispersed uniformly in AlSi7Mg0.3 matrix. Dry sliding wear experiments were carried out utilizing the pin-on-disc tribometer with various levels of applied loads, sliding speeds and weight percentage of boron carbide …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 166–177 Read article
-
Experimental Study on Load Transfer Mechanism in Columns Retrofitted by Bonding Precast Segments and FRP Wrapping
Abstract: An experimental study was conducted to investigate the load transfer mechanism in columns retrofitted with precast segments and Fiber-Reinforced Polymer (FRP) wrapping. As the demand for structural retrofitting grows, it becomes crucial to comprehend the behavior and effectiveness of retrofit techniques to ensure the safety and integrity of existing infrastructure. The study involved subjecting a series of column specimens to axial compression loads in order to evaluate the load transfer …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 153–165 Read article
-
Innovative Approaches to Fake Product Detection: Blockchain and QR Code Synergy
Abstract: For consumers, corporations, and regulatory agencies, the worldwide market's rise of counterfeit goods presents serious issues. Maintaining consumer confidence, guaranteeing product safety, and preserving brand reputation all depend on the ability to identify counterfeit goods. An overview of the different approaches and difficulties associated with spotting counterfeit goods is given in this abstract. First off, the ability to identify sophisticated counterfeit goods is limited by the use of conventional techniques …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 21–27 Read article
-
Large-Scale Green Hydrogen Storage and Transportation: Advancements and Challenges for Sustainable Energy Integration
Abstract: The transition from non-renewable energy sources to renewable energy sources is a significant step in the direction of a sustainable future. Hydrogen is acknowledged as a great renewable energy source, which may help overcome the energy intermittency challenges. Hydrogen must have convenient storage and transportation to become a green hydrogen, i.e., greenhouse gas emission-free energy carrier. Large-scale green hydrogen storage and transportation are pivotal for the effective integration of renewable …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 3, 2024 Read article
-
Chemical and Electrocoagulation Methods for Polymer Synthesis and Composite Manufacturing: Recent Technological Advances and Extensive Application Analyses
Abstract: Recent years have seen big steps forward in the fields of polymer production and composite making, thanks to the development of new chemical and electrocoagulation techniques. This abstract gives a short summary of these new developments and goes into great detail about how they can be used. Chemical production of polymers has been an important part of materials science for a long time because it lets scientists precisely control the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 244–258 Read article
-
Innovations in Forensic Imaging: Leveraging Deep Learning for Authenticity Verification
Abstract: The advent of digital media has necessitated advancements in forensic imaging, especially for the detection and verification of image authenticity. In this context, digital image forensics plays a critical role in identifying manipulated or counterfeit images. This paper presents a new method that uses deep learning techniques to enhance image forgery detection. The approach utilizes a convolutional neural network (CNN) to automatically learn and recognize the intricate features present in …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 28–33 Read article
-
Navigating Polymer Processing: Advances, Challenges, and Future Horizons
Abstract: Polymer processing and composite manufacturing stand as crucial pillars in modern industry, facilitating the creation of materials tailored to specific requirements. This abstract delves into the multifaceted realm of techniques and methodologies governing these processes, essential for ensuring the delivery of materials endowed with desired properties and functionalities. A meticulous examination of extant literature forms the foundation, shedding light on the evolving landscape, challenges encountered, and promising avenues ahead. Traditional …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 179–192 Read article
-
X-ray Telescopes: Technological Developments and Contributions to High-Energy Astrophysics
Abstract: X-ray telescopes have revolutionized our understanding of the high-energy universe, unveiling phenomena that are invisible to optical telescopes. This paper reviews the technological advancements in X-ray telescope design, instrumentation, and data analysis techniques, which have significantly enhanced their sensitivity and resolution. We trace the development from early X-ray detectors to modern space-based observatories like the Chandra X-ray Observatory and the XMM-Newton. These advancements have facilitated groundbreaking discoveries, such as the …
Published in International Journal of Universe · Vol. 1, Issue 1, 2025 Read article
-
Depiction-inspired Recipe Generator Using Deep Learning
Abstract: Machine learning has become a crucial part of modern life, influencing various domains. Its applications range from enhancing data-driven business decisions to enabling autonomous vehicles. Advances in machine learning have brought about notable changes in how we interact with technology. In the culinary world, the idea of creating food recipes from images has gained increasing interest. This entails the development of innovative systems that seamlessly convert visual input, such as …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 47–55 Read article
-
Exploring Practical Applications of Artificial Neural Networks: A Review
Abstract: Computational models called artificial neural networks (ANNs) are modeled after the structure of the human brain. These models are designed to process information and learn from data. Artificial neural networks, or ANNs, are composed of interconnected artificial neurons layered to resemble the brain's neural network.. Through training, ANNs adjust the connections between neurons based on labeled data, enabling them to recognize patterns and perform specific tasks. Despite their efficacy in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
-
Visual Recognition with Convolutional Neural Networks for Object Detection
Abstract: Various research and development have taken place over the years on computer vision which is a branch of AI. AI disciplines like a vision system is applied in various fields like self-driving cars, face detection by social media apps and law enforcement software’s google lens and so on. The proposed system deals with design and implementation of an efficient way of training a GPU using python libraries to process and …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 07–13 Read article
-
Automated Math Solver Assist with LLM RAG
Abstract: The challenges of solving complex mathematical problems often hinder efficiency in various scientific and engineering domains. This project proposes an innovative solution to these challenges by integrating automated math solvers with large language model (LLM) retrieval-augmented generation (RAG). The proposed system aims to streamline mathematical problem-solving processes, offering a robust and precise tool for real-time recognition, classification, and solution generation. This work provides a novel method of automating the solution …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 25–30 Read article
-
Comparative Study of Change Detection Methods in High Resolution Images
Abstract: Natural phenomena including weathering, erosion, volcanic eruptions, and plate tectonics, as well as human activities like agriculture, deforestation, and urbanization, cause the Earth's surface to change continuously. In many different applications, such as environmental monitoring, disaster management, urban planning, agriculture and forestry, climate change studies, resource management, and infrastructure monitoring, it may be extremely beneficial to detect and track these changes. There are various algorithms and methods proposed by many …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 1–5 Read article
-
Advancements in AI-Driven Diagnostics for Dental Health: A Comprehensive Review
Abstract: Dental diseases, also known as oral diseases or dental conditions, encompass a range of health problems affecting the teeth, gums, mouth, and associated structures. These conditions can lead to pain, discomfort, and severe complications if left untreated. Early detection and accurate diagnosis are crucial for effective treatment and prevention of further complications. This comprehensive literature review aims to identify common dental problems such as Tooth Decay (Cavities), Gingivitis, Periodontitis, and …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 1–7 Read article