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901 articles for “processing techniques”
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AI-Driven Cybersecurity: Enhancing System Resilience with Advance Security Automation Program (ASAP)
Abstract: In the face of increasing cyber threats, this work presents advanced security automation program (ASAP) a revolutionary solution aimed at addressing modern cyber threats through the utilization of artificial intelligence (AI) and open-source technologies. Unlike conventional security systems like security information and event management (SIEM) and security operations center (SOC), ASAP provides automated defense mechanisms that surpass their limitations by significantly increasing both the speed and accuracy of incident detection …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 1–19 Read article
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A Survey on the Evolution of AI (Artificial Intelligence) and Robotics
Abstract: This is the age of new technology and gadgets to improve the livelihood of human beings in aspects of every manner while arranging the host of facilities for every task related to our daily lifestyle. To improve the machine and their working manner smartly only programming is not enough it takes a lot more than just programming and here the implementation of AI tools takes place to improve the quality, …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 10–17 Read article
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Fingerprint and Face Recognition Based Attendance System for Exams
Abstract: In educational institutions, managing attendance efficiently and accurately is pivotal for ensuring academic integrity and administrative effectiveness. Traditional attendance tracking techniques, including human roll calls or barcode scanning, are laborious, error-prone, and vulnerable to fraud. Traditional methods of keeping track of attendance, including sign-in sheets and physical roll calls, are often time-consuming, prone to errors, and lack the security measures needed in many contemporary settings. Modern biometric technologies have made …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 3, 2024 · pp. 26–33 Read article
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Enhanced Biodiesel Production Via Encapsulation of Yeast Cells in Biocompatible Polymers
Abstract: Yeast-based biodiesel production offers a sustainable alternative to conventional fossil fuels. However, factors like harsh environmental conditions and shear stress during processing can limit yeast cell viability and overall biodiesel yield. This study explores the potential of encapsulation technology using biocompatible polymers to improve yeast performance in biodiesel production. Encapsulation can create a protective barrier for yeast cells, shielding them from harsh environments and shear stress during processing. This protection …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 57–62 Read article
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TensorFlow: Architecture, Applications, and Future Challenges
Abstract: TensorFlow, an open-source machine learning platform created by Google, has revolutionized how artificial intelligence (AI) systems are built and implemented. Designed to support scalable and flexible model training across CPUs, GPUs, and TPUs, TensorFlow enables researchers and developers to construct advanced deep learning models with efficiency and precision. This study provides an in-depth examination of TensorFlow's architecture, including its use of dataflow graphs and tensor-based computation. We explore its adaptability …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 41–50 Read article
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Cytogenotoxicity Assessment of Asphalt Plant Discharge Water using Plant Assay
Abstract: The Allium cepa assay test was used to evaluate cytogenotoxic effects of asphalt plant discharge water at the concentrations of 10, 20, 30, 40, 50, 60, 70, 80, 90 and 100% (v/v) asphalt plant discharge water/distilled water. The distilled water served as the negative control. The analysis of the physicochemical properties and heavy metals concentrations showed that most parameters were higher than the established standards of WHO and FMENV. The …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 100–110 Read article
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Cybersecurity Early Detection Algorithms for Threats
Abstract: Cybersecurity plays a vital role in protecting digital systems, networks, and data from unauthorized access, misuse, and cyberattacks in an increasingly interconnected world. As reliance on internet-based technologies continues to grow, the frequency and sophistication of cyber threats have also increased, making effective cybersecurity strategies essential. Cybersecurity encompasses a comprehensive framework that integrates technological solutions, organizational processes, and human awareness to ensure the confidentiality, integrity, and availability of information. Key …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 31–37 Read article
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A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Green Chemistry Techniques used in The synthesis of Organic and Biochemical Compounds
Abstract: Green chemistry is closely related to “the design of chemical products and processes that specifically eliminate the use or generation of substances that are hazardous to humans, animals, plants, and the environment.” Green chemistry contains 12 principles that guide how a chemical is produced and used in a green and sustainable way, reducing pollution. Sustainable chemistry is a scientific concept that seeks to improve the efficiency with which natural resources …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 2, 2025 · pp. 01–9 Read article
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Leveraging Deep Learning for Accurate Weed Identification
Abstract: Weed control is very important for all types of agricultural businesses. The project here revolves around the application of computer vision techniques and, more concretely, deep learning techniques, for the effective recognition and classification of weeds. The EfficientNetB4 architecture is an appropriate backbone as its scalability and performance optimization is adequate. The modifier used is Adam optimization algorithm which will serve as a pre- processor for the model. Weeds at …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 90–99 Read article
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Polymeric Actions to Make Recycled Aggregate of Concrete Improved
Abstract: Recycling construction materials of concrete, steel, and steel scraps is an essential technique to promote sustainable material flow. The restricted reuse of recycled concrete aggregate (RCA) can be justified, even in part, by the impact on strength and durability of new RCA-based concrete, instead of natural aggregates. Various research has been conducted on improving RCA effectiveness, in particular resistance and water absorption to disintegration. Application of polymer-dependent therapy was used …
Published in Journal of Polymer & Composites Read article
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Alzheimer disorders diagnosis system design using machine learning for EEG signal
Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …
Published in Journal of Control & Instrumentation Read article
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A Comprehensive Study Utilizing Patterned Fabric Images and Detection Techniques with OpenCV and Edge Detection
Abstract: This project offers a comprehensive overview of recent advancements in autonomous fabric failure detection methods, a critical aspect of quality control in the textile industry. Detecting flaws in fabric is an increasingly vital automation challenge. The project evaluates the effectiveness of a proposed method by analyzing patterned fabric images featuring typical flaws. The performance of the proposed approach is assessed across various types of fabric flaws. Additionally, the project tests …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 1, 2024 Read article
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Design of Optimized Full Adder using Noise-Mitigation Techniques and Power Gating
Abstract: With the advent of nanoscale technology, a new era of power consumption, speed, and reliability challenges for traditional static CMOS logic has begun. To solve these problems, dynamic logic families—particularly domino logic—have emerged as potent substitutes that offer quicker processing speeds and lower power consumption. The design and optimization of a full adder circuit using domino logic is shown in this study. A dynamic domino logic technique is used to …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 3, 2024 · pp. 1–6 Read article
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A Comprehensive Review of Analytical Method – Development and Method Validation of Digoxin Tablets
Abstract: The main objective of this review is to give an outline of the method development and validation process of digoxin, and this review covers the different types of spectroscopic and chromatographic techniques, such as HPLC, UHPLC-Tandem mass spectroscopy, TLC, and LC-MS. A novel method for the determination of digoxin in biological samples has been developed and validated, focusing on improving sensitivity, specificity, and reproducibility. The method was validated in terms …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 47–58 Read article
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Risk Assessment of Batch Sulfonation Process using Fault Tree and Bowtie
Abstract: The current study looks into the batch reactor's sulfonation reaction's safety features. Acetanilide, thionyl chloride, and chlorosulphonic acid are used in the sulfonation reaction under consideration to generate acetyl sulphonyl chloride as well as by-products such HCl and SOx. Steam starts the process, which is exothermic in nature. Water is then chilled to maintain a temperature of 50°C and a pressure of one atmosphere. The Hazard and Operability (HAZOP) analysis …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 3, 2024 · pp. 50–56 Read article
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The MCDM Technique is Being Utilized to Develop Sustainable Supply Chain Management in the Textile Industries
Abstract: Sustainable Supply Chain Management (SSCM) of production systems is crucial in the current globalization setting. Many businesses are having a lot of issues with supply chain management. In order to determine the most effective SSCM techniques, this research will rank the primary SSCM hurdles. The fuzzy analytical hierarchy process (FAHP) is used to rank the primary barriers in SSCM. A committee of three specialists was assembled to score various variables. …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 1, 2023 · pp. 28–42 Read article
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Bimetallic Catalysis in Renewable Energy Applications: A Review
Abstract: The transition to renewable energy sources necessitates innovative catalytic solutions to improve efficiency and sustainability. Bimetallic catalysis, leveraging the synergistic effects of two distinct metals, has emerged as a promising strategy in various renewable energy applications. This review explores the unique properties and mechanisms of bimetallic catalysts, highlighting their roles in biomass conversion, hydrogen production, and CO2 reduction. We delve into the interplay of electronic and geometric effects in these …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 2, 2024 · pp. 25–29 Read article
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AI-Driven Psychological Profiling on Social Media: Mechanisms, Ethical Breaches, and Regulatory Challenges in Data Inference
Abstract: This literature review examines AI-driven psychological profiling on social media, analyzing 21 academic studies that focus on machine learning techniques such as supervised learning, deep neural networks, sentiment analysis, and natural language processing. These methodologies infer mental health indicators—such as depression, anxiety, and stress—from users' digital footprints, encompassing linguistic patterns, engagement metrics, and temporal behaviors. While these tools offer potential for early detection of psychological distress, they also raise significant …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 1–7 Read article
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Biomarkers in Cancer Research: Discovery and Future Directions
Abstract: Biomarkers have transformed the study of cancer, providing critical information regarding prognosis and therapy response and promoting earlier diagnosis. This paper discusses the different parts of cancer biomarkers, starting with their description, classification, and major types, which are the groundwork for understanding their clinical role. The discussion on the development and validation process of biomarkers is then undertaken, focusing on state-of-the-art techniques and the importance of ensuring accuracy and reproducibility. …
Published in Trends in Drug Delivery · Vol. 12, Issue 1, 2025 · pp. 22–26 Read article