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270 articles for “Extraction time”
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Study of the Effect of Saline Solution on the Extraction of the Tamarind Seed Extracts Active Coagulant for Textile Wastewater Treatment
Abstract: The use of synthetic coagulants is not regarded as suitable due to health and economic considerations. A new coagulant obtained through polymerization of tamarind seed extract has been characterized in the removal of dangerous dye pollutants. The present study was aimed to investigate the effects of tamarind seed extract as coagulant in treatment of textile wastewater. The coagulant prepared was employed for the removal of sludge at the different doses. …
Published in Journal of Water Resource Engineering and Management · Vol. 1, Issue 3, 2014 · pp. 35–39 Read article
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Trapeza Intelligence: Transforming the Information
Abstract: ABSTRACTInformation is the heart of every business. For effective decision making, information management is required so that pertinent information is available from time to time. Nowadays, the banking and financial service industry is rapidly changing due to the factors like globalization, mergers and acquisitions and technological innovations. With information pouring into the organization, banks are constantly challenged to turn vast data stores into actionable insight. This can be achieved with …
Published in Current Trends in Information Technology · Vol. 2, Issue 3, 2012 · pp. 29–37 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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Text to Flowchart Convertor
Abstract: With the advancement artificial intelligence tools and software, we can now transform process text into a proper formatted flowchart. This research work mainly focuses on how advancement of technologies has enabled to save time and energy by creating a structured understandable flowchart instead of merely presenting text, thereby converting process text into flowchart. Use of natural language processing (NLP) and libraries of JavaScript has led to easy transformation of text …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 18–25 Read article
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AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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GAS HYDRATES AN UNCONVENTIONAL RESOURCE FOR FUTURE
Abstract: AbstractThis paper presents an overcome of Gas hydrates (GH) as a potential alternate to India’s energy source. Gas hydrates are Icy-white crystalline form approximately 99% of gas and 1% of water which are found under high pressure & low temperature in places such as permafrost (polar) region, shallow offshore sediments of arctic &sub-arctic region, and Deep ocean sediments in the tropic regions. This term have attracted some Energy-Starving countries like …
Published in Journal of Petroleum Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 22–26 Read article
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A Practical Iterative Side Channel Cube Attack on AES-128/256
Abstract: AbstractThe Side Channel Cube Attack (SCCA) is a kind of Algebraic Side Channel Attack(ASCA) consisting of theoretical and practical aspects. This paper presents a general framework for the SCCA (called an Iterative SCCA (ISCCA)) on block ciphers in which theoretical and practical aspects are explained and the requirements are listed. On the theoretical side, we use extraction of quadratic equations, recognition of iterated chosen plaintexts, and cube iteration to improve …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 3, 2014 · pp. 31–45 Read article
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Child Rescue System from Borewells Using Arduino
Abstract: India is facing water crisis constantly. India grapples persistently with an ongoing water crisis. It holds the unfortunate distinction of being the largest global extractor of groundwater, a perilous trend that jeopardizes political, economic stability, and public health in the long term. Consequently, there has been a surge in borewell installations tapping into subsurface aquifers, often situated in human-populated areas, with some failing to yield adequate groundwater resources. The traditional …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 11, Issue 2, 2023 · pp. 10–17 Read article
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Cannabidiol (CBD): An Innovative Pharmacological Treatment for Obsessive Compulsive Disorder (OCD)
Abstract: Obsessive Compulsive Disorder (OCD) is characterized by recurring and repetitious thoughts coupled to anxiety characterized by obsessive thoughts and associated compulsive behavior(s). OCD patient often fears that the anxiety will not abate and obsessional thoughts will control her/his mind or body in advocating or carrying out unwanted compulsive behaviors. Such thinking patterns or behaviors may often be frightening but usually they are quite harmless except when promoting accompanying anxiogenic activity. …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 7, Issue 1, 2017 · pp. 12–16 Read article
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Influence of Aeration on Biomass and Polyhydroxyalkanoate Accumulation in Priestia flexa JP1: A Foundation for Nano-Biomaterial Development
Abstract: Polyhydroxyalkanoates (PHAs) are microbial polymers that have attracted substantial interest in recent times due to their use as biodegradable substitutes for petroleum-derived plastics and also as precursors for nano-enabled biomaterials. The aim of the present work was to evaluate the effect of static and shaking culture conditions on growth kinetics, biomass formation, and PHA synthesis by Priestia flexa JP1. The bacterial strain was cultured in mineral salt media (MSM) at …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 2, 2026 · pp. 42–50 Read article
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Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 Read article
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Sustainable Cotton Crop Productivity through Precision Weed Detection: A Deep Learning-Based Approach with UAV Integration
Abstract: Weeds present a major challenge to crop productivity by competing with crops for vital resources, including water, sunlight, and nutrients, often resulting in significant yield reductions. On a global scale, weeds are responsible for approximately 13.2% of annual crop losses, a quantity sufficient to feed nearly one billion people. These invasive plants disrupt agricultural systems and adversely impact crop yields. Given their uneven distribution in fields, ground or aerial robots …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 19–26 Read article
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Microbial Contaminants in Commercial Beverages: Health Concerns and Suggestive Preservative Methods
Abstract: AbstractFruit juices are the important source of vitamins, minerals and antioxidants, essential for the growth and development of every human. However, due to the presence of various nutritive components, it provides optimal conditions for the growth of food microorganisms. Various pathogenic and non-pathogenic bacteria, fungus, yeasts and parasites are found to be associated with fruit juices. Many of these microbes generally enters at the time of packaging and cause various …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 9, Issue 1, 2019 · pp. 1–10 Read article
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Bioanalytical Method Development and Validation for the Estimation of Levothyroxine in Human K₃EDTA Plasma by Using UPLC-MS/MS
Abstract: A rapid, sensitive, and highly selective UPLC-MS/MS method was developed and validated for the quantitative estimation of Levothyroxine in human plasma using Levothyroxine-D₃ as the internal standard (IS). Chromatographic separation was achieved on a Gemini NX-C18 column (50 × 3.0 mm, 3 µm) with a mobile phase consisting of acetonitrile and water (70:30, v/v) containing 0.015% formic acid at a flow rate of 0.5 mL/min. The total run time was …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 3, 2025 · pp. 32–46 Read article
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Detection of Phished URLs Using Machine Learning
Abstract: Phishing attacks remain a significant cybersecurity challenge, requiring innovative detection strategies. This study investigates the use of machine learning to detect phishing URLs, to improve the accuracy and reliability of detection systems. Utilizing a diverse dataset of legitimate and phishing URLs we extracted the features such as lexical properties, domain-specific details, and HTML content to train various machine learning models. Algorithms including Random Forest, support vector machine (SVM), and gradient …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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Evaluating the Efficiency of LLMs-SA (Sentiment Analysis) via Social Media Texts
Abstract: Sentiment analysis (SA) is becoming popular in business and scientific communities as the processing of natural language (NLP), computational linguistics, text analytics, image-based processing or video- based processing is used in extracting and mining subjective information in the web, social network, etc. It is able to detect positive, negative or neutral information and can be selected to absorb polarity, sentiments, urgency and goals of mount importance. The majority of the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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Animal Species Prediction Using Deep Learning
Abstract: In the face of escalating biodiversity loss, effective monitoring of animal species is critical for conservation efforts. This study presents a deep learning approach for species detection and a multimodal feature identification technique for animals vulnerable to poaching. The suggested prediction system recognizes objects automatically by the application of deep learning techniques to detect objects and then recognize them by using computer vision techniques, and it is triggered when an …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 14–22 Read article
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Innovations in Mineral Science and Engineering for Sustainable Resource Development
Abstract: The growing global demand for mineral resources, coupled with increasing environmental and social concerns, has intensified the need for sustainable approaches in mineral science and engineering. Traditional mining and mineral processing practices, while essential for industrial development, are often associated with high energy consumption, resource depletion, and environmental degradation. In response, recent innovations in mineral science and engineering have focused on improving resource efficiency, minimizing environmental impact, and ensuring long-term …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 31–36 Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
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Study on Medical Scaffolds Prepared from Vitex. negundo L.
Abstract: The nature is abundant with herbs and its benefits which are been used since ancient times. The herbs used have inherent potential antioxidants and flavonoids which are essential for various medicinal formulations. Vitex negundo L. species belongs to the family lamiaceae. The herb has been used in rural countries like India as a wound healing due to its excessive tannins and terpenoids. In the present study we are using Vitex. …
Published in Research and Reviews: A Journal of Toxicology · Vol. 11, Issue 3, 2024 · pp. 37–45 Read article