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1423 articles for “Container”
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Review on The effect of Imine, Azo, and Formazan Compounds on The cell Membrane of Bacteria, Fungi and Their inhibition of Activity
Abstract: The role of antibiotics is to reduce the resistance of bacterial and fungal cell membranes, thereby penetrating the cell membrane and causing bacterial death. Therefore, researchers have turned to preparing chemical compounds that mimic antibiotics in their ability to eliminate bacteria and microorganisms. Through ongoing research in the field of biological activity, recent decades have witnessed a significant increase in laboratory experiments involving imines, formazan, and other compounds in this …
Published in International Journal of Membranes · Vol. 3, Issue 2, 2026 Read article
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Engineering of PEG-b-PCL/Pluronic F127 Polymeric Composite Micelles for Controlled Co-Delivery of Docetaxel and Curcumin in Prostate Cancer Therapy
Abstract: Polymeric composite nanocarriers made from amphiphilic block copolymers are popular for their customisable architecture, self-assembly behaviour, and drug release control. A PEG-b-PCL/Pluronic F127 micellar composite was developed and tested as a multifunctional nanocarrier for docetaxel and curcumin administration.The amphiphilic block copolymers Pluronic® F127 and PEG-b-PCL were employed to generate polymeric micelles using solvent evaporation-assisted self-assembly. The optimised polymer composite showed good colloidal stability and uniform size distribution with a zeta …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Herbal Cold Cream-Based Cosmeceuticals: Formulation and Evaluation Approaches
Abstract: Cold cream is a type of water-in-oil emulsion commonly used for cleansing and moisturizing the skin. It was originally developed by Galen, a Greek physician and pharmacist, during the Roman Empire in the first century. Today, cosmetics are widely used by both men and women to improve appearance and enhance beauty. Recently, there has been a highly positive achievement to general distinctiveness growth in consumer welfare in herbal cosmetics. These …
Published in Recent Trends in Cosmetics · Vol. 3, Issue 2, 2026 Read article
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ESP32-Based Vehicle Security and Driver Safety System
Abstract: This paper presents an ESP32-based intelligent vehicle security and driver safety system designed to improve both automobile protection and road safety through advanced sensor integration and real-time monitoring. The proposed system combines biometric authentication, driver behavior analysis, obstacle detection, and emergency communication into a single compact platform. A fingerprint sensor (R307) is used to provide secure vehicle access, ensuring that only authorized users can start the vehicle. To enhance driver …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 2, 2025 · pp. 9–18 Read article
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Development of Smart Kitchen System using RFID
Abstract: We've been implementing an application to keep track of the food inventory i.e. observing the status of the inventory, creation of shopping list automatically without any human interaction based on the food status in the inventory and observing the level of food containers to give an alert message to the user at times when food level is critical. Giving an automation to all these daily routine tasks will reduce human …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 1, 2014 · pp. 12–15 Read article
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Personal Authentication-Based Fingerprint Recognition
Abstract: As our society has become more and more electronically connected and more proxy representations of identity such as passwords cannot be trusted to establish a person’s identity, biometrics offers a natural and reliable solution to certain aspects of identity management by utilizing fully automated or semi-automated schemes to recognize individuals based on their inherent physical and/or behavioral characteristics. Human fingerprints contain details called minutiae, which can be used as identification …
Published in E-Commerce for Future & Trends · Vol. 1, Issue 1, 2014 · pp. 6–10 Read article
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Brief Review of Medical Image Fusion Techniques Based on Hybrid Intelligence
Abstract: An image fusion combines complementary images from multiple images such that the fused image is more suitable for further processing tasks or specific application. The goal of image fusion is to integrate complementary multi sensor, multi temporal and/or multi view data into a new image containing more information for proper medical diagnosis and different application tasks. The purpose of this paper is a survey of image fusion algorithms based on …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 1, 2016 · pp. 8–15 Read article
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Fin-Set Materials Analysis for Heat Removal Utilizing ANSYS
Abstract: Present paper deals with the effect of fin material on heat transfer from fin for electronics device cooling. Electronic tools discharge heat in the course of the work; that discharged heat should be removed either by passive or active ways. Current work stresses on passive (natural) way of cooling. Natural cooling can be done either by free air or fin. Different types of fin materials have been studied in the …
Published in Journal of Advancements in Robotics · Vol. 3, Issue 1, 2016 · pp. 24–30 Read article
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Social Media Blog Analysis using Watson Analytics
Abstract: AbstractAnalytics is defined as the discovery, interpretation, and communication of meaningful patterns in data. A blog is a discussion or informational website published on the world wide web consisting of discrete, often informal diary-style text entries and may contain unstructured or semi-structured data. The analysis of unstructured data types is current challenge, getting attention in industry. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization and information privacy. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 3, 2016 · pp. 15–21 Read article
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Information Privacy and Security in Data Mining
Abstract: AbstractThe improving popularity and growing of data mining technologies bring very serious effect to the security of individual's sensitive information. In the recent years, the privacy preserving data mining (PPDM), has been extensively studied and it is an emerging research subject in data mining. Without accommodating the security of sensitive information contained in the data, the basic idea of PPDM is to implement the data in such a manner so …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 3, 2016 · pp. 30–44 Read article
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Artificial Neural Network-Based Multifocus Image Fusion
Abstract: Fusion of multiple images is needed for combining information contained in images obtained using different imaging devices or different camera settings. Due to the physics of optical lenses present in these devices, it is difficult to capture an image that has all the relevant objects well in focus. Thus, artificial neural network (ANN)-based multifocus image fusion method in YCbCr color space is proposed. Input images are first mapped from RGB …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 16–23 Read article
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A Systematic Review on Uncertain and Probabilistic Databases: Principles, Current trends, Future Directions
Abstract: AbstractMost genuine databases contain information whose accuracy is unverifiable. With the end goal to work with such information, there is a need to evaluate the honesty of the information. This is accomplished by utilizing probabilistic databases. A probabilistic database is a dubious database in which the conceivable universes have related probabilities. Probabilistic database administration frameworks are as of now a functioning zone of research. While there are as of now …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 3, 2018 · pp. 1–7 Read article
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Cascade CNN Framework for Low Resolution Image Classification
Abstract: Abstract: Low resolution images contain less visual information, so classifications of these images are difficult. For overcoming this problem, cascade CNN framework for low resolution image classification is proposed. In this framework, super resolution CNN (SRCNN) enlarges low resolution image into super resolution image. The convolutional features of these super resolution images are fused with low resolution convolutional features which are extracted by low resolution CNN (LRCNN) feature extractor. A …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 39–43 Read article
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Performance of Speaker Recognition System in Mismatching Speaking Style
Abstract: Analysis of speaker recognition system under different speaking style and mismatch conditions is presented. Generally, in text independent speaker recognition system, the way of speaking style used remains the same in training and testing phase. Whisper speech is generally used quietly to convey secret information or to avoid disturbing others in quiet place, so hearing of speech is limited to nearby listener only. Source of excitation and vocal tractsystem contains …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 58–65 Read article
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Decode Human Immune System for Blood Disease Detection using Machine Learning Algorithms
Abstract: Quick and accurate medical diagnosis are crucial for the successful treatment of diseases. Using machine learning algorithm and based on laboratory blood test result, we have built a model to predict hematology diseases. It is a predictive model which uses various symptoms causing the disease and a few blood parameters to detect the disease. Blood analysis is an essential indicator for many diseases. It contains several parameters which are sign …
Published in Journal of Advancements in Robotics · Vol. 7, Issue 2, 2020 · pp. 9–14 Read article
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Sentiment Analysis and Stock Market Prediction-Using news to predict stock markets
Abstract: AbstractThe aim of this paper is to propose a relatively new approach regarding the influence of financial news on stock market prices. Previously, a lot of effort and research has been done to study the effect of historical stock market prices. This approach mainly involved time series numerical data to predict the future trend of stock markets. But, with the advent of superior computing power and computing techniques such as …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 17–24 Read article
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Malaria Parasite Detection in Thin Blood Smear Images Using Deep Learning
Abstract: Algorithms in deep neural networks are being used to show the presence of malaria and to estimate the depth of infection by automatically counting individual uninfected and infected RBCs in images of thin blood smears. During the training period, the relationship was tried on a set of 13600 images from several thin blood spreads and experiment was conducted. My dataset is divided into 80% for training and 20% for testing. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 1, 2020 · pp. 28–32 Read article
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An Improved Biometric Authentication with Scleral Patterns
Abstract: Biometrics is the science of recognizing people based on their physical or behavioral traits such as face, fingerprints, iris, and voice. Iris is unique part of the eye that is varied from person to person. Iris is white part of the eye and it covering the sclera. The accuracy of the iris recognition system depends on the image quality of the iris images and also iris recognition requires frontal gaze …
Published in Journal of Advances in Shell Programming · Vol. 3, Issue 1, 2016 · pp. 28–35 Read article
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A Review on Different Techniques Used for Feature Extractions from Mammogram of Breast Cancer
Abstract: Breast cancer detection is still a complex and challenging problem. Mammogram contains low signal-to-noise ratio (SNR) and a complex structured background so identifying cancer tissues using this technique is a time consuming task even for expert radiologists. Therefore, there is still a need to enhance imaging in digital mammogram, where enhancement in medical imaging is the use of computers to make the image clearer. Studies show that relying on pure …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 9–15 Read article
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Peer to Peer Privacy Preserving Authenticated Key-exchange
Abstract: In particular Key-exchange algorithm Diffie-Hellman key exchange (DHKE), is one of the most commonly used cryptographic mechanisms for providing network security. Inorder to secure Peer to Peer communication here we use a set of protocols password based authenticated key exchange using verifiers to reduce vulnerabilities. Like any otherform of software, P2P applications can contain vulnerabilities. What makes this particularly dangerous for P2P software, however, is that peer-to-peer applications act as …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 1, Issue 1, 2014 · pp. 17–22 Read article