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509 articles for “traditional techniques”
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Job Shop and Flexible Job Shop Scheduling Problems: Heuristic Optimization
Abstract: The development of modern wide-area engineering problems, as well as recent trends towards the creation of sustainable engineering systems for daily objectives have given birth to complex studies addressing technical, but also economical and environmental, aspects related to simple or multi-objective optimization problems. Recently, heuristic and (meta) heuristic approachesthat apply combinations of different heuristics with or without traditional search and optimization techniques were proposed to solve such problems. This paper …
Published in Journal of Production Research & Management · Vol. 10, Issue 1, 2020 · pp. 25–31 Read article
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A COMPREHENSIVE REVIEW OF NOVELTY OF FRICTION STIR WELDING OF ALUMINIUM – MAGNESIUM ALLOYS FOR ADVANCED ENGINEERING APPLICATIONS
Abstract: Aluminum and magnesium based alloys are majorly finding their applications in industries like automobile, aerospace and sports applications. The joining of these dissimilar alloys is very difficult by using traditional fusion welding technique inherently because of the “brittle Inter Metallic Compounds (IMC)” like Mg2Al3 and Mg17Al12. In order to enhance the joint strength, the formation of inter metallic compounds due to friction stir welding has to be characterized at the …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 5, Issue 2, 2018 · pp. 7–14 Read article
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IoT-based Edge Computing Will Breach Data or Make Life Simpler
Abstract: Security is critical in today’s world since we have sensitive and confidential data that we do not want to share with anyone, yet adversaries attack our data and steal our identities. Similarly, with Internet of things (IoT), attackers attack devices or communication networks and steal data. Regardless of the source of the data, most current systems for cloud-supported, edge-data analytics employ rigorous bottom-up analytics approaches. Data are frequently generated at …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 2, 2022 · pp. 6–10 Read article
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Design of Lowpass Filter with Improved Roll Off Factor using Coin Shape Fractal DGS
Abstract: This paper presents the design of lowpass planar filter with improved roll of factor. To improve the performance figures of filter such as return loss, roll off factor, compactness, etc. coin shape fractal defected ground structure (DGS) has been embedded in the ground plane of the filter. The proposed filter gives improvement of roll off factor about 5 times as compared to traditional filter design technique. Laboratory prototypes of all …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 7, Issue 1, 2019 · pp. 1–9 Read article
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Inlay Work in Interiors: From Tradition to Innovation, Materiality to Mastery
Abstract: Inlay work, an ancient decorative technique, continues to captivate and inspire within the realm of interior design. This research paper delves into the multifaceted world of inlay work, tracing its rich history, exploring its contemporary applications, and speculating on its future in interior design. The historical evolution of inlay work serves as the foundation for this exploration. From its origins in ancient civilizations such as Egypt and Mesopotamia to its …
Published in International Journal of Trends in Humanities · Vol. 1, Issue 1, 2024 · pp. 01–12 Read article
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Innovative Approaches in Bioinspired and Biomimetic Membrane Technologies: Bridging Nature and Engineering
Abstract: Bioinspired and biomimetic membranes represent a ground breaking advancement in membrane technology, offering innovative solutions to critical global challenges in water purification, chemical separation, and energy conversion. These membranes leverage the exceptional transport properties of biological systems, particularly through the incorporation of aquaporin proteins, which facilitate rapid and selective water transport. This review synthesises recent developments in aquaporin-based membranes, highlighting their remarkable efficiency in desalination processes, where they serve as …
Published in International Journal of Membranes · Vol. 1, Issue 2, 2024 · pp. 53–60 Read article
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A Compressive Review of Traditional Medicine System of Naturopathy (Nature): Evaluation, Standardization of Alternative Medicine
Abstract: Naturopathy is a therapeutic approach that combines scientific principles with the natural laws of the body. It focuses on using natural methods to promote healing and overall well-being. This traditional practice combines various techniques, such as herbal medicine, nutritional guidance, hydrotherapy, and physical therapy, to treat the underlying causes of illnesses rather than just managing symptoms. The growing interest in alternative medicine necessitates a comprehensive evaluation and standardization of naturopathic …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 12, Issue 1, 2025 · pp. 22–29 Read article
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Fracture Toughness in Advanced Materials: A Comparative Review of Testing Methods and Standards
Abstract: Fracture toughness is a key material property used to assess a material's ability to resist crack propagation, which is vital for ensuring the reliability and durability of structures and components in high-performance applications. It is particularly important in advanced materials such as composites, ceramics, and high-strength alloys, which are increasingly used in demanding industries such as aerospace, automotive, and civil engineering. Fracture toughness testing helps determine the material's behavior under …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 17–21 Read article
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A Survey On Leveraging Machine Learning for Phishing Attack Prediction and Detection
Abstract: Phishing is one of the biggest cybersecurity threats that exploits user trust by masquerading as a legitimate site or email to steal personal and sensitive information. A state- of-the-art-phishing detection systems survey, this review showcases the evolution from traditional list-based techniques, including blacklisting and whitelisting to machine learning and deep learning models. While list-based systems cannot evolve to detect new and zero-day attacks, the ML algorithms of Decision Tree, Random …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article
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Autonomous 6G Physical Layer Architectures for Space-Air-Ground Integrated Networks
Abstract: The emergence of sixth generation (6G) wireless systems calls for a significant shift away from conventional deterministic communication models. As communication infrastructures evolve into Space- Air-Ground Integrated Networks (SAGIN), traditional physical layer (PHY) techniques struggle to operate effectively under the severe Doppler effects and long propagation delays associated with space environments. This paper examines the role of artificial intelligence embedded directly within the 6G transceiver architecture to enable ultra-reliable and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 · pp. 21–31 Read article
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A Critical Review of Gandhaka & Its Shodhan Research Work with Special Emphasis on the 1st Method Following Rasatarangini
Abstract: Background: Ayurveda is an ancient healthcare system that influences many modern treatments. One of its key branches, Rasa Shastra, studies the health benefits of strong minerals and metals like mercury, sulphur, mica, and black bitumen. Among these, sulphur is critical for detoxification, blood purification, and digestion, being the third most common element in the human body after calcium and phosphorus. Before sulphur is used in Ayurvedic medicine, it must be …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 12, Issue 3, 2025 · pp. 1–11 Read article
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Influence of Blending Technique on Surface Free Energy of Modified Asphalt Cement
Abstract: AbstractThe processing technique of modified asphalt cement in the laboratory is adopted by heating the asphalt cement in an oven to the required mixing temperature; then the additive is added and mixed for a target mixing time. It was felt that such technique allows more volatiles to evaporate and required high mixing temperature. In this work, asphalt cement of 44 penetration grade was gained from Dora refinery, south west of …
Published in Trends in Transport Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 22–31 Read article
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Anti-hyperglycemia Effects of Plant Secondary Metabolites Towards PKA/CREB Pathway Activation in Diabesity
Abstract: Objective: Diabesity, the amalgamation of diabetes and obesity, presents a significant global health challenge. This research carefully examines how plant secondary metabolites influence glucose regulation in diabetes using the PKA/CREB pathway, paying particular attention to diabesity—the combination of diabetes and obesity. Understanding the complex ways in which these metabolites affect metabolic health will help to identify new treatment approaches for managing diabetes and its associated problems. By conducting a thorough …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 1, 2024 · pp. 33–50 Read article
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Fraud Detection in Government Procurement Using Machine Learning
Abstract: Fraud represents a significant challenge in the realm of procurement, with estimates indicating that between 12 and 30% of global procurement budgets are lost to fraudulent activities (OECD, 2023). The pervasive nature of procurement fraud, which may encompass a range of deceptive practices such as bid rigging, invoice fraud, and procurement kickbacks, not only undermines the integrity of financial operations but also results in substantial losses for organizations. These losses …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 19–34 Read article
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Solar Panel Defect Detection Using Geospatially-Aware Deep Learning framework
Abstract: Large-scale photovoltaic (PV) systems demand reliable inspection techniques to maintain efficiency, as manual methods remain labor-intensive and inconsistent. This study introduces a geospatially informed deep learning framework for defect detection and localization in PV panels from drone and satellite imagery. The framework incorporates an adaptive tiling mechanism that adjusts tile boundaries according to object size, reducing information loss and enhancing detection performance. In addition, coordinate transformation between image pixels and …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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PREDICTIVE LEARNING POWERED BY AI AND SOPHISTICATED STUDENT ENGAGEMENT TECHNIQUES
Abstract: The contemporary landscape of education has witnessed a paradigm shift in integrating advanced technologies that have revolutionized the learning experience. Innovative methodologies have emerged to address longstanding challenges, such as enhancing student engagement, accurately predicting academic performance, and personalizing the learning journey. However, despite the numerous benefits that technology brings to education, there remains a crucial hurdle - sustaining student motivation and engagement. Traditional teaching methodologies often struggle to generate …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 127–140 Read article
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AI Application in the Creation of Medications for COPD
Abstract: The crippling lung condition known as chronic obstructive pulmonary disease (COPD) is typified by a continuous restriction of airflow, which results in increased respiratory dysfunction and a reduced quality of life. The rising incidence of COPD worldwide emphasizes the pressing need for innovative pharmaceutical approaches to address the illness. Even though COPD care has advanced significantly, most current medications concentrate on symptom relief rather than disease change. This gap in …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 01–05 Read article
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Development and Evaluation of Hybrid Natural Fiber Composites
Abstract: Natural fiber based polymer composites are becoming more common because they are cheap, sustainable, and operate effectively across mechanical and environmental settings. Natural fibers (NFs) like bamboo and roselle are being used to strengthen polymer composites. They are being used in textiles, medical equipment construction, and car making. People are becoming more interested in these fibers because of the unique properties. Bamboo fiber is an effective option for reinforcement in …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 908–915 Read article
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A Technical Blueprint for AI-Driven Localization in 6G Mobile Networks
Abstract: The advent of sixth-generation (6G) wireless systems promises unprecedented spatial resolution, ultra-low-latency, and pervasive connectivity, turning mobile localization from a peripheral service into a core enabler of immersive extended reality (XR), autonomous logistics, and digital twins. Yet, the sheer scale of dense terahertz (THz) deployments, the stochastic nature of reconfigurable intelligent surfaces (RIS), and the dynamic interference landscape render traditional model-based positioning techniques inadequate. This work investigates how artificial intelligence …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 26–34 Read article
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Machine Learning-Based Channel Estimation in 5G, Beyond-5G, and 6G Networks: Recent Advances and Future Directions
Abstract: Accurate channel estimation is one of the most fundamental challenges in modern wireless communication systems. In fifth- generation (5G) New Radio (NR) and emerging sixth-generation (6G) networks, precise knowledge of the wireless channel is essential for achieving reliable data transmission, high spectral efficiency, and low Bit Error Rate (BER). Conventional estimation techniques such as Least Squares (LS) and Minimum Mean Square Error (MMSE) rely on mathematical channel models and predefined …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article