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509 articles for “traditional techniques”
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Combine study of conventional bricks fly ash bricks and different percentage of bagasse ash bricks
Abstract: The rapid urbanization is creating a shortfall of conventional building construction materials due to limited availability of natural resources. On the other hand, energy consumed for the production of conventional building construction materials pollutes air, water and land. In order to meet the ever increasing demand for the energy efficient building construction materials there is a need to adopt cost effective, environmentally appropriate technologies and upgrade traditional techniques with available …
Published in Journal of Construction Engineering, Technology & Management · Vol. 10, Issue 3, 2020 · pp. 1–6 Read article
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Optimum Circumscribing Circle Division Method for Getting Maximum Fill Factor in Transformer Core
Abstract: As far as the optimum design of transformer is concerned, researchers generally concentrate on minimizing cost, no load and load losses etc. by choosing K-factor, Flux density, Current density etc. as design variables. But, the design of core has remained an unexplored area. Transformer manufacturing industry uses traditional technique to find out the core design dimensions. However, in that method, the fill factor for the desired number of steps is …
Published in Journal of Electronic Design Technology · Vol. 6, Issue 2, 2015 · pp. 13–17 Read article
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Uses of Biomaterials and Biocompatible Materials
Abstract: Biomaterial evolution is not an innovative study field; it has been heading on for approximately half - century. Biomaterial science is the restraint that concentrates on the research of biomaterials. It is a highly contested discipline of science that has witnessed sustained, robust growth over the span of its existence. Many businesses have made considerable financial investments in the innovation of fresh products. The disciplines of biology, chemistry, engineering of …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 9, Issue 3, 2022 · pp. 20–24 Read article
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Applicability of SWMM Model for Urban Flood Forecasting: A Review
Abstract: Urbanization, the major goal for the emerging economies, with which come the major concerns, flood conditions being one of them. The huge losses of infrastructure and lives have alarmed us with the need to tackle this situation in an effective and sustainable manner. Flood forecasting and its management is the only sail through the narrow gap between the disasters and prosperity. Precipitation is the major component of the hydrologic cycle …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 2, 2017 · pp. 1–4 Read article
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Machine Learning Regression Based Approach for Prediction of the Ultimate Tensile Strength of Tungsten Inert Gas Welded Joints
Abstract: Many leaders in technology education have shown that the main difference between the technical design process and the process of engineering construction analysis and efficiency [1–3]. The engineering analysis phase of the construction process is where the mathematical and scientific models principles are used to help the designer predict the design results. The engineering feasibility phase process is a systematic process that uses structural elements and conditions to allow the …
Published in Trends in Machine design · Vol. 8, Issue 2, 2021 · pp. 1–10 Read article
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Automated Fake News Detection System
Abstract: The classification of fake news on social media platforms has drawn a lot of attention recently because it is so simple to put false stuff there. In addition, they prefer social media to traditional television as their news source of choice. These patterns have increased academics' understanding of fake news and inspired an increase in interest in its identification. The primary goal of this work was to classify incorrect information …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 1, 2023 · pp. 70–78 Read article
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Will Artificial Intelligence Open a New Door in Anaesthesia Practice?
Abstract: The research used big data obtained from Electronic Medical Records (EMR), Computerised Physician Order Entry (CPOE) systems and picture archiving and communication systems (PACS). The traditional techniques of statistics are difficult to apply on large data or big data of electronic medical records (EMR) due to vastness or complexity. The artificial intelligence technique is valuable means to handle such data of EMR. Other than artificial intelligence, machine learning is very …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 9, Issue 1, 2020 · pp. 29–37 Read article
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From Prototype to Production: A Review of Industrial Applications for 3D Printing in Aerospace, Automotive, Biomedical, and Electronics
Abstract: Three-dimensional (3D) or Additive Manufacturing has made remarkable progress from rapid prototyping to large-scale production. Several industries like aerospace, automotive, biomedical, and electronics utilise AM technology for product personalisation, minimising waste material, reducing the cycle time of product design, and designing complex shapes that are difficult to manufacture using traditional techniques like subtractive manufacturing. This paper evaluates the evolution of 3D printing technology from prototyping to industrial production. In addition, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 2, 2026 Read article
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Cutting-edge Deep Learning Methods for Predicting and Detecting Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) remain a major global health issue, highlighting the need for improved early detection and risk assessment methods. This research investigates the efficacy of both deep learning and traditional machine learning methods in forecasting cardiovascular diseases (CVDs). We evaluate a variety of models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Multilayer Perceptrons (MLPs), Long Short-Term Memory (LSTM) networks, as well as Logistic Regression (LR), Decision Trees …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 36–42 Read article
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To analyze performance of Wind/Battery Hybrid Power System using Different MPPT Techniques
Abstract: Where traditional power generation is not feasible, renewable energy sources have become a popular alternative electrical energy source. The output of photovoltaic and wind electricity has expanded dramatically in recent years. We suggested a hybrid energy system in this study that uses both solar panels and wind turbine parameters to generate electrical power and supply it to a power grid station. Maximum power point tracking is achieved using two control …
Published in Current Trends in Signal Processing · Vol. 11, Issue 3, 2021 · pp. 15–27 Read article
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Comparative Assessment of Using Visual and Close Range Photogrammetry Techniques to Evaluate Rigid Pavement Surface Distresses
Abstract: AbstractThe main task of this study is to introduce the close range photogrammetric approach for evaluation of rigid pavement surface condition, and compare the findings with the traditional visual evaluation technique. The visual inspection was conducted by walking through the roadway and evaluating the pavement surface distress visually. As for the photogrammetric fieldwork, it starts with generation of ground control points around the area of distress. A total station device …
Published in Trends in Transport Engineering and Applications · Vol. 2, Issue 2, 2015 · pp. 28–36 Read article
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Forecasting Commodity Prices Using Deep Learning Techniques: An Empirical Evidence from India
Abstract: Commodity price forecasting is instrumental in financial markets, providing framework for investment choices and risk management practices. Traditional models, including statistical and machine learning approaches, have limitations in capturing the nonlinear and volatile nature of commodity prices. Deep learning (DL) techniques have emerged as promising alternatives, leveraging advanced neural networks to enhance predictive accuracy. This study presents a thorough and comprehensive examination of deep learning applications in commodity price prediction, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 08–12 Read article
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Strategic Optimization of CNC Machining in Production Systems: A Managerial Review of Methods, Metrics, and Industry 4.0 Integration
Abstract: Computer numerical control (CNC) machining has significantly influenced modern production systems by enabling higher efficiency, quality, and sustainability. As industrial operations strive for leaner production and strategic competitiveness, optimization of machining parameters—including cutting speed, feed rate, depth of cut, and tool path strategies—has emerged as a cornerstone of production planning. This review evaluates the optimization methodologies developed from 2015 to 2025, spanning traditional mathematical models to artificial intelligence (AI)-driven metaheuristic …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 25–30 Read article
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Additive Manufacturing of Rocket Propulsion System: A Review
Abstract: In recent years plenty of research is going on to produce effective manufacturing techniques which can produce complex unique designs with reduced cost and lead time for aerospace applications. In this aspect, Additive manufacturing is getting a wide range of popularity in the aerospace manufacturing domain due to its vast applications and advantages. In terms of geometric flexibility and processing time, additive manufacturing outperforms conventional manufacturing processes. Additive manufacturing has …
Published in Journal of Materials & Metallurgical Engineering Read article
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Additive Manufacturing of rocket propulsion system
Abstract: In recent years plenty of research is going on to produce effective manufacturing techniques which can produce complex unique designs with reduced cost and lead time for aerospace applications. In this aspect, Additive manufacturing is getting a wide range of popularity in the aerospace manufacturing domain due to its vast applications and advantages. In terms of geometric flexibility and processing time, additive manufacturing outperforms conventionalmanufacturing processes. Additive manufacturing has found …
Published in Journal of Materials & Metallurgical Engineering · Vol. 12, Issue 2, 2022 · pp. 1–9 Read article
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Vivid Sustainable Building Materials in various Topographical Regions in India
Abstract: Construction and geography are engaged in a happy relation in any indigenous settlement. India, on other hand is a country with multiple geographical regions with various topographical features anddifferent climatic conditions. With this diversity in geo-climatic characteristics, since past we have many techniques to response it without actually exploiting its contents. May it be construction, transportation, operations or living and earning, traditional practices of each of them were though time …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 2, 2015 · pp. 61–73 Read article
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Analysis and Identification of Malicious Mobile Applications Using Machines Learning
Abstract: Over the past few years, malware attacks on the Android platform have surged, posing significant risks to users' financial security, personal information, and device integrity. In the first half of 2019 alone, approximately 25 million smartphones were infected, highlighting the severity of these threats. The model ranks manifest features based on their frequency in normal and malicious apps, identifying key components that distinguish benign from malicious applications. To improve detection …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 17–24 Read article
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Optimizing Plasma Cutting Parameters for Thin Mild Steel Sheets of Various Thicknesses
Abstract: Plasma machining was investigated for suitability to cut thin sheets and the quality obtained was assessed. The main objective of this investigation is to machine or cut required Mild steel sheet thicknesses and to determine the surface roughness and MRR values. Traditional cutting techniques have been discovered to be costly in terms of both time and resources. This study may be valuable to car converters, such as firms that make …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 1, Issue 1, 2023 · pp. 23–28 Read article
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A Comparative Study of Deep Learning Methods for Depression Detection in Social Media Data
Abstract: With the rise of social media platforms like Twitter, Reddit, and Facebook, individuals increasingly share personal information about their moods, behaviors, and mental states. This trend provides a unique opportunity to leverage large-scale textual data for understanding and monitoring mental health conditions, particularly depression, a prevalent and challenging mental health issue. Traditional depression assessments are often confined to clinical environments and lack the capacity for real-time monitoring. In contrast, social …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 55–65 Read article
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Cupping (Al-Hijamah) in Unani System of Medicine: Opportunities and Scope
Abstract: In Unani System of Medicine (USM), cupping therapy is known as "Al-Hijamah”. Hijamah is Arabic word which literary means “to do cupping”. Cupping is an ancient traditional therapeutic technique, which has been practiced, for thousands of years and till now, particularly in East Asian countries. In classical literature of USM, Al-Hijamah is of two types; wet cupping or cupping with bloodletting called as Hijamah-bish-shart and dry cupping or cupping without …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 4, Issue 2, 2017 · pp. 12–15 Read article