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188 articles for “Traditional technique”
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Plant Tissue Culture: Conservation Techniques
Abstract: Agriculture, forestry, horticulture, and plant breeding have all made extensive use of plant tissue culture. It's a type of applied biotechnology that's utilized for things like plant mass propagation, viral eradication, secondary metabolite manufacturing, and in-vitro cloning. Tissue culture has increasingly been employed for short to medium term conserving, also known as slow development, and cryogenics, also known as long term conservation, of vulnerable species of plants. These techniques had …
Published in International Journal of Plant Biotechnology · Vol. 8, Issue 1, 2022 · pp. 27–29 Read article
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Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A Hybrid Metaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 35–46 Read article
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Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A HybridMetaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 Read article
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Performance Analysis of MIMO-FBMC Transceivers in Multi-Path Fading Channels
Abstract: Multiple-input multiple-output (MIMO) technology has become an integral part of wireless communication systems, enabling high data rates and improved spectral efficiency. Filter bank multi-carrier (FBMC) modulation is another promising technique that offers several advantages over traditional orthogonal frequency division multiplexing (OFDM) in terms of spectral efficiency and robustness to frequency-selective fading channels. In this paper, we investigate the performance of MIMO-FBMC transceivers in multi-path fading channels. We first review the …
Published in International Journal of Broadband Cellular Communication · Vol. 8, Issue 2, 2022 · pp. 1–8 Read article
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Enabled Impairment Cognizant Of Elastic Optical Networks By Traffic Grooming And Multipath Routing
Abstract: The large bandwidth of fibre optical networking is far wider than the typical bandwidth required by network service providers. This variation leads to a need for multiplexing the low rate traffic demands into optical wavelength channels, but this call for a extravagant electronic swapping devices, potentially equalizing the advantage of low cost optical transport. Traffic grooming and multipath routing are two techniques that are being commonly used to increase the …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 2, Issue 1, 2016 · pp. 24–28 Read article
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Machine Learning-Based Channel Estimation for 5G NR Systems: A Comprehensive Review of TDL/CDL Channel Models and CNN Architectures
Abstract: Accurate channel estimation is a fundamental requirement for reliable communications in fifth-generation New Radio (5G NR) systems, where highly dynamic propagation environments impose severe challenges on conventional pilot-based methods. This study provides a thorough analysis of channel estimate methods for 5G NR, including everything from contemporary deep learning (DL) techniques based on Convolutional Neural Networks (CNNs) to traditional Least Squares (LS) and Minimum Mean Square Error (MMSE) estimators. Our analysis …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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A Critique of Modernism: A Case of Sagrada Família
Abstract: The Sagrada Família, Antoni Gaudí’s magnum opus, stands as one of the most recognizable and symbolically rich architectural projects of the modern era. In stark contrast to the industrial ethos of Modernism – which emphasized functionality, minimalism, standardization, and mechanized aesthetics – Gaudí’s design embraces organic forms, intricate craftsmanship, and profound spiritual meaning. This paper examines how the Sagrada Família operates not only as a monumental religious structure but also …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 12, Issue 1, 2026 · pp. 9–14 Read article
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e-Kidney Filtration System (EKS) Using Sensor: A Study
Abstract: This research presents the design and preliminary validation of an E-Kidney Filtration System (EKS), an innovative artificial kidney leveraging advanced sensor technology for precise and adaptable blood filtration. Traditional hemodialysis, while life-sustaining, is a passive process with inherent limitations in its ability to dynamically respond to individual patient needs and fluctuations in physiological parameters. EKS aims to overcome these limitations by integrating a suite of real-time biosensors and electrochemical sensors …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 31–40 Read article
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An Investigative Analysis on Emotional Challenges and Adaptation Techniques among Elderly Residents of Selected Old Age Homes in Punjab
Abstract: In accordance with Indian traditions, families have traditionally been the cornerstone of support for the elderly, ensuring their social and emotional security. However, the shift towards nuclear family models has heightened the challenges faced by the elderly, including psychological distress such as anxiety, depression, and loneliness, as well as financial and physical vulnerabilities. The primary objective of this research is to evaluate the awareness regarding emotional difficulties and the coping …
Published in International Journal of Geriatric Nursing · Vol. 7, Issue 1, 2024 · pp. 22–28 Read article
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Improving Safety Outcomes in the Construction Industry: A Study of Effective Safety Management Techniques
Abstract: Abstract The construction industry is notorious for its high rates of workplace accidents and fatalities, necessitating a critical evaluation of safety management practices. This paper investigates effective safety management techniques within the construction sector, emphasizing the integration of traditional safety measures with emerging technologies to enhance safety outcomes. A mixed-methods approach is employed, combining quantitative data analysis from industry reports and qualitative insights gathered from case studies of five construction …
Published in International Journal of Architectural Design and Management · Vol. 10, Issue 2, 2024 · pp. 15–20 Read article
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Comparative Assessment of Tensile and Shear Behavior of Cold, Warm and Hot Mix Asphalt Concrete
Abstract: The environment awareness of toxic gases emissions during the production, transportation, and construction of hot mix asphalt concrete (HMAC) have led to the development of Warm, half warm, and cold mix asphalt concrete. Such development of alternative mixtures is considered as sustainable materials in asphalt concrete paving process. The temperature reduction in the mixing of binder during production, handling, and compaction of the mix results in saving energy, reduction of …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 5, Issue 2, 2019 · pp. 39–47 Read article
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Optimizing Dyeing Processes for Nylon: A Study onUltrasonic and Natural Dye Application
Abstract: This study focuses on the application of natural dyes, specifically those derived from onion (Allium cepa) extracts, for dyeing nylon fabric, while assessing the impact of different mordants, including potassium dichromate, copper sulfate, and alum. The research explores the effectiveness of High Temperature High Pressure dyeing techniques to enhance dye uptake and color fastness. Natural dyes, traditionally viewed as less effective than synthetic counterparts, are being reevaluated for their eco-friendly …
Published in International Journal of Green Chemistry · Vol. 10, Issue 2, 2024 · pp. 9–15 Read article
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Performance Comparison of the two-stage Kalman Filtering Techniques for Density Prediction
Abstract: The advanced optimal partitioned state Kalman estimator (OPSKE) developed to overwhelm these problems of traditional approaches. In this article, we compare performance of the OPSKE with the OTSKE and the AUSKE in the maneuvering target tracking (MTT) badly behaved. We provide some analytic results to demonstrate the computational advantages of the OPSKE. Author of this paper compare these two algorithms with target tracking problem, because in that problem they dealing …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 2, Issue 1, 2016 · pp. 8–16 Read article
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In-vitro Fertilization: Revolutionizing Livestock Breeding Efficiency
Abstract: In-vitro fertilization (IVF) has emerged as a transformative technology in animal breeding, particularly in the livestock industry. VF, or in vitro fertilization, is a process where an egg is fertilized by sperm outside the body, in a lab. After the egg is fertilized and begins to develop into an embryo, it is then placed into the uterus of the woman who will carry the pregnancy. This technique has significantly enhanced …
Published in International Journal of Animal Biotechnology and Applications · Vol. 11, Issue 1, 2025 · pp. 1–5 Read article
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A Comprehensive Review of AES-Integrated DWT Watermarking Techniques for Image and Video Authentication
Abstract: The exponential growth of digital media production, distribution, and online sharing has intensified the need for reliable mechanisms that ensure image and video authenticity. With the rise of advanced editing tools and deepfake technologies, safeguarding multimedia content from tampering, unauthorized replication, or malicious manipulation has become a critical research challenge. Traditional cryptographic solutions provide confidentiality but fail to maintain post-decryption integrity, whereas watermarking techniques ensure persistent ownership verification but often …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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Greener ways of synthesizing Styrene oxide
Abstract: Styrene oxide is a key intermediate used in the fragrance, flavour, polymer and pharmaceutical industries, basically synthesized through processes such as epoxidation followed by distillation. These methods generate effluents that give rise to significant environmental challenges and rendering large-scale commercial production non-viable. The urgency for a greener and more economically viable synthesis routes has given rise to the exploration of alternative methods that produces lesser effluent generation. Enzymatic synthesis offers …
Published in International Journal of Green Chemistry · Vol. 11, Issue 2, 2025 · pp. 14–20 Read article
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Missile Tracking and Detection Using SAR and MIMO Radar Signal Processing
Abstract: This paper presents a missile tracking and detection using SAR and MIMO Radar signal processing. SAR is a technique for computing high-resolution radar returns that exceed the traditional resolution limits imposed by the physical size, or aperture, of an antenna. By using Kaiser Window, the trade off exists between the main lobe width and the side lobe amplitude. Kalman filter is used to minimizing the maximum error between the frequency …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 1, Issue 1, 2016 · pp. 39–47 Read article
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Machining process simulation of SOM 125 series printing machine components using CATIA V5 Machining
Abstract: Based on the additional competition in the marketplace, producers who used traditional manufacturing contracts and policies, has to adopt computer aided manufacturing techniques for the point of producing process planning and NC-programming more effective. By applying appropriate software with multiple skills, significant gains in terms of production lead-time can be achieved and a higher level of precision in the manufacture can be certained. In this study, an attempt to use …
Published in International Journal of Computer Aided Manufacturing · Vol. 1, Issue 2, 2016 · pp. 40–50 Read article