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1934 articles for “processing methods” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Automated Detection of Polycystic Ovarian Syndrome using Neural Network Algorithm
Abstract: The ovarian ultrasound imaging could be a good tool in infertility treatment. Monitoring the follicles is extremely important in human reproduction. Periodic measurements of the scale and shape of follicles over several days are the primary means of evaluation by doctors. Today monitoring the follicles is finished by non-automatic means with human interaction. This work could also be very demanding and inaccurate and, in most of the cases, means only …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 2, 2020 · pp. 9–13 Read article
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Energy Efficient Data Aggregation of Heterogeneous Network using Metaheuristic Approach
Abstract: The development of wireless sensor network results in faster technological development and its fundamental problem of network life time in the given energy constraints leads to several research study and its optimization. Sensor networks revolutionize the paradigm of collecting and processing information from diverse environments. In this paper proposed the distributed clustering optimization to determine the better network performance using the meta-heuristic approach based on Improved Harmony Search Algorithm (IHSA) …
Published in Recent Trends in Sensor Research & Technology · Vol. 1, Issue 1, 2014 · pp. 8–15 Read article
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Photochemical Bleaching of Textile Waste Water of Bhilwara (Rajasthan) by Photo Fenton Reagent
Abstract: During the last decade, Bhilwara has developed into a leading place in the textile industry in the country. Bhilwara is the hub of textile industries in the state of Rajasthan and known as “Textile City”. Textile industry is one of the most water and chemical intensive industries worldwide. About 200–400 l of water is needed to produce 1 kg of textile fabric in textile factories. Textile industry involves processing or …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 8, Issue 3, 2017 · pp. 33–36 Read article
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Testing the Efficiency of Background Subtraction Techniques
Abstract: In many video surveillance applications, for instance, detection of abandoned/stolen items or parked vehicles, the detection of desk-sure foreground items is an important task. In this work, we recommend the implementation of a green item detection algorithm that may be employed in actual time embedded devices because of its fast processing. The morphological approach is used for similarly processing to remove noise and to maintain the form of transferring object. …
Published in Current Trends in Information Technology · Vol. 11, Issue 2, 2021 · pp. 29–38 Read article
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Performance Evaluation of a Save 80 Wood Stove using Controlled Cooking Test Method
Abstract: In this research, the performance evaluation of four selected cook stoves has been conducted. The wood stoves are: the traditional, three stone stove, the locally fabricated wood stove, the single hole improved wood stove and the save 80 energy efficient wood stove. These are respectively arranged in the ascending order of their improved technology in design and development. A weighed amount of fuel wood 2 kg was used to cook …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 4, Issue 2, 2014 · pp. 25–30 Read article
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Entrepreneurship Development at The National Petroleum Products Refining Company
Abstract: Petroleum products are very widely used materials, which are processed from crude oil and in oil refineries. Refineries can process petroleum products for various purposes according to the composition of crude oil and customer requests. The purpose of this research is to develop entrepreneurship in the National Petroleum Products Refining Company. This research is a developmental applied research according to the research objectives. In this research, using the theme analysis …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 44–60 Read article
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Unravelling Modern News Classification Methods: A Systematic Review
Abstract: Nowadays, the news is being generated each second from every corner of the world, with millions of news articles generated every day. Some assume that at least 1.8 million articles are published yearly, in about 28,000 journals. It has become difficult to recognize what's fake and what's genuine due to the overflow of millions of articles every day. Not every person reads every news, so the classification of news according …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 3, 2021 · pp. 7–17 Read article
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Nano-enhanced Bio-based Phase Change Materials: A Brief Revie
Abstract: The high latent temperatures and variable melting points of bio-based phase change materials make them ideal for thermal control. This covers heat regulation for medical and pharmaceutical items, building comfort, and high-end electronics and automobiles. In recent years, research and application of energy-saving materials and technologies in buildings has increased strength. Modern construction technology aims to keep old and new structures energy efficient. TES employing PCMs is an energy-efficient approach. …
Published in Journal of Polymer & Composites · Vol. 11, Issue 4, 2023 · pp. 15–27 Read article
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Diet Management of Cancer Patients Who Undergo Chemotherapy—An Experimental Study
Abstract: Background: Chemotherapy is the one major treatment module for cancer patients, but it has so many side effects, including nausea, vomiting, fatigue, and pain. These side effects reduce the adherence towards chemotherapy and reduce the interest to have foods. This, in turn, affects the normal tissue metabolism and disturbs the functions of cell and tissue regeneration. Food is very important for patients who receive chemotherapy. The cyclic administration of chemotherapy …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 1, 2024 · pp. 17–21 Read article
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Advances in Analytical Chemistry Research Methodology: Trends and Applications
Abstract: Analytical chemistry is critical to scientific study because it allows for the accurate identification, measurement, and characterization of chemical compounds. Recent advances in methodology have improved accuracy, sensitivity, and efficiency, with techniques such as High-Performance Liquid Chromatography (HPLC), Gas Chromatography (GC), Mass Spectrometry (MS), and Nuclear Magnetic Resonance (NMR) spectroscopy transforming analytical procedures. The combination of Artificial Intelligence (AI) and Machine Learning (ML) has enhanced data processing, pattern recognition, and …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 2, 2025 · pp. 10–18 Read article
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VHDL-Based Strategies for Protecting IoT Devices from Power and Electromagnetic Side-Channel Attacks: A Study
Abstract: The environment of the Internet of Things (IoT) is rapidly developing, linking billions of devices across a wide variety of disciplines. Furthermore, despite the fact that it provides an unprecedented level of convenience and efficiency, this interconnection also presents a fertile ground for security weaknesses. Side-channel attacks, also known as SCAs, are one of the dangers that pose a considerable risk. These attacks specifically target the cryptographic implementations that are …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 30–40 Read article
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AI-Designed Functionally Graded Polymer Composites for Multifunctional Thin Films
Abstract: The design of multifunctional polymer composite thin films requires simultaneous optimization of mechanical, optical, barrier, and thermal properties—objectives often in conflict when using conventional homogeneous materials. This study presents an artificial intelligence-driven framework for designing functionally graded material (FGM) architectures in polymer nanocomposite thin films. We integrated machine learning with physics-based modeling to optimize compositional gradients across film thickness, achieving superior performance compared to homogeneous and discrete multilayer alternatives. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1026–1041 Read article
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Review on Effect of Catalysts in Preparation Methods of Chalcone
Abstract: This review covers effect of some catalysts in preparation methods of chalcone compounds. These compounds are responsible for the coloration of flowers due to the presence of the cascade. The molecules of the compound become highly photo-acetic and thus are ideal chromophores. Recently, a number of studies have been conducted describing the process of separating chalcones from different parts of plants such as roots (roots), buds, leaves (leaves), flowers, seeds …
Published in Journal of Catalyst & Catalysis · Vol. 7, Issue 3, 2020 · pp. 11–21 Read article
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Anomaly Based Intrusion Detection Using Machine Learning Techniques
Abstract: Detection of Cyberattacks/anomalies in a network to build an efficient Intrusion Detection System (IDS) is very important. A system called an intrusion detection system (IDS) monitors network traffic in order to find suspicious activity and sends out signals when it is noticed. Monitoring and data analysis are designed with the objective of finding any network or system intrusions. Machine learning methods can anticipate both known and unidentified attacks. This project …
Published in Journal Of Network security · Vol. 10, Issue 2, 2022 · pp. 1–8 Read article
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Tooth Supported Overdenture: Preventive Prosthodontic Treatment Modality––A Case Report
Abstract: This is a case report of a very young patient who has lost all her maxillary teeth except canines and partially edentulous in the lower arch. The main concern here was to preserve the existing residual alveolar ridge from the resorption process and to rehabilitate functionally and esthetically. Initially, vestibuloplasty was performed on the buccal sulcus to increase the vestibular depth. The maxillary canines were intentionally root canal treated, followed …
Published in Research and Reviews: A Journal of Dentistry · Vol. 10, Issue 3, 2019 · pp. 20–26 Read article
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Machine Learning Approaches for Intelligent Network Traffic Management in 6G
Abstract: The increasing adoption of smart devices, Internet of Things (IoT) technologies, cloud-based services, autonomous applications, and multimedia platforms has greatly enhanced the demands and complexity of modern wireless communication networks. To meet these evolving requirements, upcoming sixth-generation (6G) communication systems are anticipated to deliver extremely high data transmission speeds, support a vast number of connected devices, ensure minimal communication delays, enable intelligent network management, and provide seamless real-time connectivity for …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 2, 2026 · pp. 19–32 Read article
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Evaluation of Short-Term Fatigue Characteristics and Measurements of Modulus Reinforcement of Cement-Polypropylene Composite Material
Abstract: The choice of filler materials along with the derived composition of constituents plays an important role in determining the performance effectiveness of polymeric composite material. This work is an annexure of vivid experimental study succeeding with the evaluation of fatigue characteristics together with the determination of reinforcement and modulus-of-elasticity of cement reinforced polymeric composite material. Inexpensive fly-ash based Portland pozzolana cement is used as filler material with the polypropylene as …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 1, 2017 · pp. 31–41 Read article
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Hybrid Techniques in Mango Leaf Disease Identification: Evaluating Neural Networks and Support Vector Machines
Abstract: Mango leaf diseases pose a significant threat to mango production, impacting both yield and fruit quality. Early and accurate detection of these diseases is crucial for effective management. This paper evaluates the use of hybrid techniques, specifically the integration of neural networks (NNs) and support vector machines (SVM), in the identification and classification of mango leaf diseases. NN excel in extracting complex features from images, while SVMs are robust classifiers, …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 19–27 Read article
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Centralized Controller Design Of Two-Input Two-Output Process Using SISO Design Techniques
Abstract: In two-input two-output (TITO) systems, interactions should be appropriately accounted for proper input-output pairing. Pairing plays an important role, where the wrong pairing can lead to unstable systems, even each one of the loop is stable individually. In this paper interactions of TITO time-delay systems are quantified using the gramian based interaction measures. Using this pairing problem is addressed for TITO systems and a multivariable controller is designed using siso …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 2, 2021 · pp. 39–47 Read article
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Molecular Docking and Interaction of Anthocyanin Derivatives in Regulating Hippo-taz Pathway for Renal Injuries
Abstract: Introduction: The Hippo pathway plays a pivotal role in renal disease, with Yes-associated protein (YAP) exhibiting promise for combined treatments. The crucial evaluation of YAP-targeted drug safety and efficacy through preclinical studies is imperative. Additionally, α-SMA and SMAD3 emerge as potential therapeutic targets in renal fibrosis, driving ongoing research toward innovative interventions. Materials and Methods: In the systematic identification of therapeutic secondary metabolites, Anthocyanin derivatives were methodically retrieved from the …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 1, 2024 · pp. 23–38 Read article