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664 articles for “active techniques”
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Neuroinformatics and Its Impact on the Future of Brain-Computer Interface Technology
Abstract: Neuroinformatics, a multidisciplinary field combining neuroscience, information technology, and data science, plays a crucial role in advancing brain-computer interface (BCI) technology. By leveraging large-scale neural data, machine learning algorithms, and computational models, neuroinformatics enhances our understanding of brain function and improves the design and development of BCIs. The integration of neuroinformatics into BCI systems offers new possibilities for interpreting complex brain signals, facilitating real-time communication between the brain and external …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 9–18 Read article
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Enhancing Computer Science Education through Visualization and Engagement
Abstract: The topic of visualization and engagement in computer science. This research paper attracts attention to computer science education. Computer science education is considered a very difficult course by many computer science students. But given that computer education is such an important science, this paper explores the significance of visualization techniques and engagement strategies in computer science education. Computer science education helps us understand dynamic processes such as the working of …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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Anti-Microbial Potential of Onion Peel Extracts
Abstract: Onion (Allium cepa L.) is a source of bioactive compounds, particularly flavonoids such as quercetin, and possesses antioxidant and beneficial properties to health. Onion skin, which is normally considered as waste, has more of these compounds compared to the edible portion. This research sought to isolate and analyze the antioxidant and antimicrobial activity of onion skin with ethanol and hexane using Soxhlet and column chromatography techniques. Antioxidant activity was maximum …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 1–10 Read article
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Energy-Efficient Thermal Management: Advanced Cooling Techniques for Electronics, Automotive, and Aerospace Applications
Abstract: The growing demand for energy-efficient systems across diverse industrial sectors, including electronics, automotive, aerospace, and renewable energy, has elevated the importance of advanced thermal management techniques. Effective heat dissipation is critical not only for maintaining optimal operating conditions in electronic devices but also for enhancing the performance and reliability of broader energy and mechanical systems. Inadequate thermal management can compromise energy efficiency, reduce component lifespan, and increase environmental impact. This …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 18–23 Read article
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Cell Balancing in Lithium-ion Batteries – A Comparative Evaluation
Abstract: Balancing the cells within a battery system is essential for safeguarding against overvoltage, overcharge, and over-discharge, which can lead to system failures and safety hazards. Two commonly employed methods for cell balancing are passive and active balancing. In passive balancing, excess charge is dissipated through resistors, while active balancing involves the controlled flow of charge within the circuit. This paper focuses on the comparison and analysis of passive and two …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 1, 2024 · pp. 37–45 Read article
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Synthesis, Characterization and Photocatalytic Activity of Bismuth Doped Titanium Dioxide under Different Light Sources
Abstract: 800x600 Photocatalysis is a recognized approach where light energy is employed to excite the semiconductor material and produce electron-hole pairs. These electron-hole pairs eventually involves in the detoxification of pollutants (in air or water) & water splitting. TiO2 photocatalyst shows poor activity in visible light due to its wide band gap (3.2 eV), which restricts its use under Sun light. In the present work, photocatalytic activity of TiO2 was enhanced …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 4, Issue 3, 2014 · pp. 23–31 Read article
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Properties and antimicrobial activity of bacterial nanocellulose composite incorporated with silver nanoparticles based on green synthesis
Abstract: Green silver nanoparticles (AgNPs) synthesized using medical plant extracts as capping and reducing agents demonstrate broad applicability in addressing the threat posed by infections. In this study, we present a sustainable, low-toxicity, and cost-effective bacterial nanocellulose composite with silver nanoparticles based on green synthesis that uses Origanum vulgare as a reducing agent due to numerous biological components. The formation of AgNPs in composite and morphological properties was analyzed using scanning …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 323–328 Read article
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Biodegradable Polymer Nanocarriers Composites for Biomedical Applications
Abstract: Smart polymeric nanocarriers, or SPNs, have evolved into a fascinating means of delivering medications especially to cancer cells. By improving the efficacy of chemotherapeutic treatments while lowering their negative effects, they have achieved a significant progress in exact medicine. Made to respond to certain elements in the tumours microenvironment, such as enzymes, temperature, pH, and redox conditions, these nanocarriers this reaction to triggers guarantees the release of the medicine at …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 293–305 Read article
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A Review on Crowd Analysis Techniques
Abstract: AbstractNowadays Crowd analysis is an active open research problem in Computer Vision field. Its various applications like Crowd management, Public space design, Virtual environments, Visual surveillance, and intelligent environments attract researchers. Today security is major concerned, and any abnormal activity can automatically be detected by crowd analysis, so this research topic has got good attention of different researchers. Abnormal activity detection in the crowd is a very challenging task because …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 119–126 Read article
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Preparation and Characterisation of Activated Carbon from Rice Husk and its Polyvinylpyrrolidone (PVP) Composite for Heavy Metal Removal from Simulated Wastewater
Abstract: AbstractRemoval of heavy metals from industrial wastewater is of importance due to rapid increase in global industrial activities. This investigation deals with the preparation of adsorbentactivated carbon from agricultural waste material such as coconut shell, orange peel, ricehusk, peanut husk and sawdust to remove heavy metals from wastewater. The abundance and availability of rice husk, an agricultural waste, make them as a good source for precursor of activated carbon. Hence, …
Published in Journal of Water Pollution & Purification Research · Vol. 4, Issue 3, 2017 · pp. 10–15 Read article
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Genetic Algorithm Application in Shunt Active Power Filter Applied in Constant Frequency Aircraft System
Abstract: Constant Instantaneous Power Control(CIPC) technique for extracting reference currents for shunt active power filters have been optimized using Genetic Algorithm and its performances have been compared. The delicate analysis of assessment of the compensation ability based on THD and compensation time will be done, and commendations will be presented for the preference of technique to be used. The simulated results using Simulink model are shown, and they will indubitably demonstrate …
Published in Journal of Aerospace Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 44–50 Read article
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Influence of Flow Control Devices on Aerodynamic Characteristics of Wind Turbine Blades: A Comprehensive Review
Abstract: The growth of the wind energy sector has increased the need for enhanced techniques with the goal of improving the efficiency and reliability of wind turbines. As the size of wind turbines increases, there is a noticeable increase in energy loss, problems with fluctuating loads, and structural damage. This suggests that effective techniques need to be implemented in order to improve their efficacy. Methods for flow control, including passive and …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 52–88 Read article
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Low-cost Machine Learning-Based Sensor-based Activity Recognition for Patients with Financial Difficulties
Abstract: Elderly and schizophrenic patients are compelled to obtain treatment at home due to a lack of resources, putting them at risk for patient neglect and other health issues. This is particularly troublesome for prescription yoga or fitness programs, which are hard for doctors to keep an eye on all the time. We have looked into an automated method that tracks patients’ everyday behaviors using machine learning- based techniques in order …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 3, 2025 · pp. 7–17 Read article
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Tuberculosis Epidemiology and its Diagnostic Modality
Abstract: Tuberculosis (TB) remains a global health emergency, with India being the epicenter, recording 2.23 million cases and approximately 4.53 lakhs deaths in 2021. Despite efforts by the National Tuberculosis Eradication Program (NTEP), the anticipated decrease in the incidence and prevalence of TB has not been actualized. This paper examines the persistently high rates of TB in India, identifying critical risk factors such as male gender, marital status, overcrowding, socioeconomic disadvantages, …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 13, Issue 3, 2023 · pp. 7–11 Read article
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Quantitative Structure-activity Relationship in Computer-aided Drug Design: A Review
Abstract: Quantitative Structure-Activity Relationship stands at the forefront of Computer-Aided Drug Design, providing a systematic framework for understanding the relationship between the chemical structure of molecules and their biological activity. The present review delves into the multifaceted realm of quantitative structure-activity relationship methodologies within the landscape of drug discovery. Through an exploration of diverse quantitative structure-activity relationship models, molecular descriptors, validation techniques, and recent advancements, the present article aims to elucidate …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 55–63 Read article
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Deterioration of Strawberries by Gray Mold: A Minireview of Agent, Causes, Failures and Post-harvest Control Strategies
Abstract: This work aimed to carry out a literature review of the deterioration of strawberries by gray mold, covering the main responsible fungus, Botrytis cinerea, in addition to causes, failures, and recently studied strategies for postharvest control. It was observed that the main post-harvest control strategies with promising results were the application of essential oils, antifungal lamps, active packaging/films, emerging techniques (O3 and high-CO2), and antifungal compounds synthesized by bacteria. However, …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 11, Issue 2, 2022 · pp. 1–9 Read article
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Green Synthesis and Characterization of Silver Nano-conjugates Using Heliotropium indicum and Glycosmis pentaphylla Leaf Aqueous Extracts
Abstract: Heliotropium indicum Linn. (Family Boraginaceae), an annual herbaceous medicinal plant, is usually known as Indian heliotrope. Glycosmis pentaphylla (Retz.) DC (Family Rutaceae) is a perennial shrub, commonly known as orange-berry. These traditionally used medicinal plants originate from tropical and temperate parts of the world along with India, Southeast Asia, Northern Australia, and some other African countries. Extensive literature studies suggested that the different parts of the plant are reported to …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 9, Issue 2, 2019 · pp. 22–30 Read article
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Human Activity Recognition Using For Smartphone Sensors To Predict The Best Accuracy Based On Machine Learning Algorithms
Abstract: Human activity recognition requires predicting the action of a person based on sensor-generated data. Due to the enormous number of applications possible by modern ubiquitous computing devices, it has sparked a lot of attention in recent years. It categorizes data into actions such as walking, sitting, standing, and lying. The accelerometer and gyroscope were used to generate the sensor data, and the sensor signals were pre-processed with noise filters. The …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 12–23 Read article
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2D LiDAR Based Obstacle Detection System for Obstacle Avoidance in 3D Space
Abstract: Obstacle detection is an important feature in autonomous systems to enhance safety and to improve reliability of the operations in the unknown environment. Various techniques are adopted to detect the obstacle using passive and/or active sensors. Fusion of active and passive sensor techniques are also considered in some cases for better detection of obstacles and improve the accuracy of the detection with safe distance especially in an unmanned aerial robotic …
Published in Journal of Advancements in Robotics · Vol. 9, Issue 3, 2022 · pp. 1–12 Read article
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Understanding Tennis Elbow: Causes, Symptoms, and Available Treatments
Abstract: Tennis Elbow, clinically termed lateral epicondylitis, stands as a prevalent musculoskeletal ailment affecting the outer part of the elbow. Despite its name, this condition isn't exclusive to tennis players; it often arises due to repetitive stress or overuse of the forearm muscles and tendons, leading to micro-tears and inflammation at the elbow's lateral epicondyle. The abstract focuses on elucidating the multifaceted aspects of Tennis Elbow, exploring its causes, symptoms, and …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 1–5 Read article