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509 articles for “traditional techniques”
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Infusion of Traditional Wisdom and Modern Technology to Achieve Sustainable Dimension in Architecture and Built Environment
Abstract: Building sectors accelerate climate change, and the conventional method of construction affects the environment. This research aims to study the practice of infusing traditional techniques and modern technology in building construction that helps to achieve environmental sustainability without relinquishing indoor thermal comfort. This research analyses case studies of two residential buildings located in Ahmedabad, constructed on the conventional method and infusion method of construction, and conducts energy simulations of both …
Published in Recent Trends in Civil Engineering & Technology · Vol. 12, Issue 2, 2022 · pp. 25–44 Read article
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A Comparative Study of ANN and Traditional Control Techniques based Active Shunt Power Filter for 400 Hz Aircraft Electric Power System
Abstract: Sinusoidal current control strategy for extracting reference current for shunt active power filters have been modified using artificial neural network (ANN) and its performances have been compared too. The acute analysis of comparison of the compensation capability is based upon THD, speedwell and recommendations will be given for the choice of technique to be used. The simulated results using MATLAB model are shown in this paper, and they will undoubtedly …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 42–49 Read article
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A Review on Characterization of Mechanical Behavior of AA5083 Through Equal Channel Angular Pressing at Different Channel Angles
Abstract: Materials that have been enhanced through traditional techniques like strain hardening, the addition of solutes, altering grain size through precipitation and refining are commonly utilized in industrial applications. However, there is a restriction on the extent of deformation that these traditional techniques can impose on a material. This research centered on examining the primary mechanical characteristics of aluminum alloys when polycrystalline materials incorporate an extremely fine grain size. By producing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 54–68 Read article
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Comparison of Postoperative Nausea and Vomiting (PONV) Rates in Opioid-Free Anesthesia Protocols Versus Traditional Regimens with Varying Plane Block Techniques
Abstract: Background: Postoperative nausea and vomiting (PONV) continue to be important adverse effects that negatively influence patient recovery and satisfaction following surgery. Opioid-free anesthesia (OFA) and regional plane blocks show potential in decreasing these complications when compared with conventional opioid-based anesthesia (OBA). Objective: To compare the incidence and severity of PONV among patients receiving OFA with transversus abdominis plane (TAP) block versus OBA with TAP or erector spinae plane (ESP) blocks. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 1–6 Read article
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The Use of Retroperitoneum: Making A Wrapping for Splenic Salvage in Traumatic Splenic Rupture
Abstract: Objective: We have studied to verify indication of the splenic “wrapping” by using of retroperitoneum for splenic salvage in traumatic splenic rupture and reduce the operation time for splenic salvage. Methods: We have studied splenic wrapping for splenic salvage by using retroperitoneum instead of absorbable mesh in traumatic splenic rupture. Results: During the 4 years study period, 97 patients with splenic injuries were evaluated. According to efficacy of our new …
Published in Research and Reviews : Journal of Surgery · Vol. 10, Issue 1, 2021 · pp. 7–11 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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Speed Control of Electric Drives Using Soft Computing Techniques
Abstract: The speed control of electric drives is a challenging engineering problem. The direct torque control (DTC)method is characterized by its simple implementation and a fast dynamic response. Soft computingtechniques, viz., fuzzy control are ways for controlling a system without the need of mathematical model. Ituses the experience of people’s knowledge to form its control rule base. There are two techniques to controlthe speed of electrical drives. The traditional technique uses …
Published in Journal of Control & Instrumentation · Vol. 1, Issue 1-2-3, 2011 · pp. 50–58 Read article
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Encryption Mechanism under Prevalent Invasion
Abstract: The digital and computerized era is fast approaching which has increased the amount of data exchanged over the internet. The information transmitted can be accessed by an unauthorized user who can manipulate the data. This fact reveals the need for security mechanisms resulting in various cryptographic algorithms having enhanced protection mechanisms which fulfill the increased demand for security in cyber-attacks and data exploitation. The main goal of these strategies is …
Published in Journal Of Network security · Vol. 9, Issue 2, 2021 · pp. 28–34 Read article
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Intrinsic Evaluation of Graph Embeddings: Assessing Clustering and Community Detection Performance
Abstract: This paper presents an intrinsic evaluation of some graph embedding techniques on clustering and community detection tasks. We analyze a diverse set of embedding methods, ranging from traditional techniques such as Laplacian eigenmaps to more recent approaches like graph autoencoders, high-order proximity preserved embedding (HOPE), and graph attention network (GAT), using two widely studied datasets, Cora and CiteSeer. Our evaluation relies on two main metrics: Silhouette score with respect to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 40–48 Read article
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Exploring Effective Methods of Seafood Catching in Gujarat: A Review
Abstract: This review explores the effective methods of catching seafood in Gujarat, India, a region renowned for its rich coastal heritage and thriving fishing communities. Drawing on traditional techniques, community participation, innovation, and socioeconomic impact, the paper provides a comprehensive overview of the intricacies surrounding seafood catching in Gujarat. Traditional fishing methods, deeply rooted in cultural practices, coexist with modern technologies and sustainable initiatives, reflecting the adaptability and resilience of coastal …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 1, 2025 · pp. 1–5 Read article
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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
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Classification and Detection of Brain Tumor using Convolutional Neural Network
Abstract: Tumors are masses created when brain cells multiply uncontrollably. A brain tumor is the medical term for this condition. Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Developing a treatment plan is essential to raising a patient's standard of living. Tumors in different regions of the body are evaluated using a variety of imaging techniques, with MRI pictures being utilized mostly for …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article
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CHROMAWEAR: An AI Assisted Personalized Fashion Design Recommender System for Diverse Skin Tones to Enhance Fashion Choices
Abstract: In the age of fashion, we receive the same question every day: What should I wear today to look nice? The fashion industry is always changing, welcoming inclusivity and diversity. Still, despite the advancements, there are difficulties meeting people's varied needs, especially with regard to skin tone. This research work presents a personalized fashion design recommender system with artificial intelligence support to improve the fashion choices of people with different …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 49–58 Read article
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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
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Optimizing Routing and Placement of VLSI Circuits with Differential Algorithms and Neural Networks
Abstract: The performance of modern VLSI systems is heavily influenced by power constraints, necessitating precise power estimation and effective optimization techniques. Traditional methods, such as gate-level simulations, are often slow and computationally intensive. This paper introduces DRPENN (Differential Algorithm for Routing and Placement Optimization using Neural Networks), an innovative solution that combines a Switching Activity Estimator (SAE) with a neural network-assisted differential algorithm. By leveraging toggle rates from simulations to train …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 2, 2024 · pp. 14–20 Read article
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The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders
Abstract: Artificial intelligence (AI) has significantly changed many aspects of medical care, particularly the early evaluation, therapy, and management of neurodegenerative illnesses like Alzheimer's, disease, Parkinson's diseases, and Huntington's diseases. The current research explores the application of AI in mental health with respect to neurological disorders, especially advancements in cognitive examination, neuroimaging analysis, predictive modeling, and customized therapy modalities. Artificial intelligence (AI) systems have shown enormous potential in detecting minute biomarkers …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article
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AI and IoT for Precision Farming: Transforming Indian Agriculture
Abstract: Agriculture plays a crucial role in the global economy with the exponential rise in population. There is a parallel increase in the demand for food and employment exerting pressure on conventional farming methods. These traditional techniques are often inadequate in meeting current agricultural demands. Consequently, automation in agriculture has gained significant attention as an evolving field. The integration of artificial intelligence (AI) into agricultural processes has led to a transformative …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 7–15 Read article
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AI-Based Intelligent Traffic Signal Management System: A Review
Abstract: Traffic congestion is a growing problem in urban areas worldwide, leading to economic losses, increased pollution, and commuter frustration. Traditional traffic management systems rely on fixed timing cycles and lack adaptability to real-time traffic conditions. Intelligent traffic light control systems based on artificial intelligence (AI) have become a viable substitute for traditional techniques. These systems are able to evaluate large volumes of traffic data in real time, identify patterns, and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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A Novel Symmetric Anchor Scoring (SAS) Method for Industrial Location Selection: Application to Electric Vehicle Manufacturing in Tamil Nadu, India
Abstract: This work highlights the city-level detail of decision-making enabled by a new MCDM method Symmetry Anchor Scoring (SAS). Generally conventional methods are good at selecting one best and one worst alternative, but not differentiating among the many strong contenders more likely in practice. Linking MCDM methods to the tradition of decision making, the paper discusses the mathematics and analogical basis of SAS design, provides a visual proof of its ideal …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 8–19 Read article
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Enhancement of Flexural Strength in FDM-Printed Components through Taguchi-Based Process Parameter Optimization
Abstract: Additive manufacturing (AM), especially Fused Deposition Modeling (FDM), has emerged as a widely adopted and versatile method for producing three-dimensional components. The process involves the deposition of a thermoplastic filament in a semi-molten state, which solidifies in successive layers to form the final structure. While this method enables the production of complex geometries at relatively low cost, the printed parts often exhibit inferior surface quality and reduced mechanical performance compared …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 272–280 Read article