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254 articles for “image transformation”
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Development and Characterization of Antimicrobial Polymer Composites for Food Packaging Applications
Abstract: The increasing demand for sustainable and antimicrobial food packaging materials has led to extensive research in polymer-based composites. This study focuses on developing a polyethylene terephthalate-ethylene vinyl acetate (PET-EVA) composite reinforced with metal oxide nanoparticles (MONs), including Cu₂O, ZnO, and MgO₂. These nanoparticles were selected for their antimicrobial properties and ability to enhance the functional characteristics of the composite. Structural, chemical, mechanical, and barrier properties were extensively evaluated to determine …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 86–93 Read article
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A Review of Recent Advancements in Machine Learning and Deep Learning Approaches for Pet Diseases Prediction
Abstract: This systematic study assesses recent developments in Machine Learning (ML) and Deep Learning (DL) approaches to predict pet diseases. With the increasing role of Artificial Intelligence (AI) in pet healthcare, this study identifies recent research trends, limitations, and future directions. A comprehensive search was done using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines in selecting 20 relevant studies from over 300 articles published between 2020 and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 3, 2025 · pp. 1–6 Read article
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Sonochemical Synthesis of SrBaFexMo2-xO6 (x=1.0, 1.1, 1.3 and 1.4) Double Perovskites: Characterization and Magnetic Properties
Abstract: This work investigates ultrasound assisted synthesis, characterization and magnetic properties of SrBaFexMo2-xO6 (x=1.0, 1.1, 1.3 and 1.4) double perovskites. X-ray diffraction (XRD) analysis confirmed proposed that samples are in single phase. It was found that lattice constants decrease with increase in composition x. Morphology of all samples was examined by Scanning Electron Microscopy (SEM) images. Energy Dispersive X-ray Spectroscopy (EDS) data confirmed purity and nonexistence of foreign elements in prepared …
Published in Research & Reviews : Journal of Physics · Vol. 7, Issue 2, 2018 · pp. 8–17 Read article
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Intelligent Failure Detection in Biomedical Composite Materials Using Machine Vision
Abstract: The biomedical composite materials are intelligent failure-detecting, which is necessary to ensure the reliability, safety, and durability of the current healthcare equipment. This paper describes a machine vision design, which incorporates convolutional neural networks, transformer models, and ensemble learning to correctly detect and localize material defects. The proposed system takes advantage of the capabilities of high-resolution imaging, advanced preprocessing software, and deep feature learning in the identification of the intricate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Modification of Ashaka and Tango Bentonites with Tetraphenyl Phosphonium and Hexadecyl Pyridinium Bromides for Possible Use in Polymer-Clay Nanocomposite Preparation
Abstract: Bentonites from Ashaka (GA) and Tango (GT) of Gombe State, Nigeria were surface modified with Tetraphenyl phosphonium (TPP) and Hexadecyl pyridinium bromides (HDP) by cation exchange method for their possible use in Clay/polymer nanocomposite preparation. The surfaces of the modified products were characterized by means of spectroscopic, diffraction and scanning methods [Fourier-transformed infrared spectroscopy (FTIR), X-ray diffraction (XRD) and scanning electron microscopy (SEM)]. The basal spacing of the unmodified bentonite …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 22, Issue 2, 2020 · pp. 15–22 Read article
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The Analysis of Deep Learning-Based Methods for Identifying Diabetic Retinopathy
Abstract: Diabetic retinopathy (DR) is a degenerative eye condition resulting from diabetes mellitus, where high blood glucose levels lead to lesions on the retina. This condition is considered the leading cause of blindness among working-age diabetic patients, particularly in developing countries. As the disease is irreversible, the treatment aims to preserve the patient’s current vision. Early detection is crucial for effective management of DR to maintain vision. One of the main …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 · pp. 15–31 Read article
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Advancements in Nanotechnology and Biosensor Integration for Detection and Treatment of Alice in Wonderland Syndrome
Abstract: Alice in Wonderland Syndrome (AIWS) is an uncommon neurological condition characterized by profound distortions in perception. Individuals with AIWS experience altered body image and spatial awareness, often perceiving objects, surroundings, or even their own body as being unusually large, small, or distorted. The condition presents a unique challenge for both diagnosis and management due to its elusive and varied symptoms. This paper explores how advancements in nanotechnology and biosensor integration …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 3, 2024 · pp. 1–12 Read article
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The Evolution and Impact of Numbers: From Ancient Tallies to Quantum Computing: Review Article on Numbers
Abstract: Numbers are among the most fundamental constructs in human civilization, serving as the backbone of mathematics, science, technology, and virtually every aspect of daily life. They represent not only quantities and measures but also relationships, structures, and patterns that underpin the fabric of human understanding. From the earliest tallies etched on bones by prehistoric humans to the sophisticated numerical systems embedded in today’s artificial intelligence and quantum computing, the evolution …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 15–19 Read article
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Hand Gesture Recognition using Machine Learning and OpenCV
Abstract: People who are deaf or dumb use sign language to communicate with one another and within their own communities. The process of computer recognition of sign language begins with learning sign gestures and progresses until text or speech is generated. Static and dynamic sign gestures are the two categories. Although static gesture recognition is simpler to use than dynamic gesture recognition, both gesture recognition systems are essential to the survival …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 23–33 Read article
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Recent Advances in Content-based Image Retrieval: Techniques and Applications
Abstract: Content-based image retrieval (CBIR) plays a vital role in computer vision, driven by the increasing need for fast and accurate image retrieval across fields like healthcare, e-commerce, and digital libraries. This study offers a detailed review of CBIR methodologies, charting their progression from traditional feature extraction techniques, such as Local Binary Patterns (LBP), to contemporary deep learning-driven methods. The transformative impact of convolution neural networks (CNNs) is highlighted, emphasizing their …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 67–71 Read article
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Study and Analysis of Domain Based Digital Image Water Marking Techniques: Survey
Abstract: AbstractDue to the modern steps forward in internet technology and evolution of very high-speed networks operating everywhere, security of digital content is must. So, it has become a hard job to protect copyright of an individual's creation. Digital image watermarking (DIW) is usually utilized for copyright protection of virtual facts. The effectiveness of a digital watermarking (DW) approach is indicated by using the robustness of embedded watermarks (EW) against the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 2, 2017 · pp. 39–45 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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Advancements in AI-Driven Diagnostics for Dental Health: A Comprehensive Review
Abstract: Dental diseases, also known as oral diseases or dental conditions, encompass a range of health problems affecting the teeth, gums, mouth, and associated structures. These conditions can lead to pain, discomfort, and severe complications if left untreated. Early detection and accurate diagnosis are crucial for effective treatment and prevention of further complications. This comprehensive literature review aims to identify common dental problems such as Tooth Decay (Cavities), Gingivitis, Periodontitis, and …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 1–7 Read article
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Multimedia Technology in Healthcare: A Study
Abstract: The integration of multimedia technology is fundamentally transforming medical and surgical planning, moving beyond traditional methods to offer enhanced visualization, collaboration, and precision. This article explores the diverse applications of multimedia, including advanced imaging techniques, interactive simulations, and augmented/virtual reality, in optimizing pre-operative strategies, improving surgical outcomes, and enhancing medical education. By providing comprehensive overview, this analysis highlights the potential of multimedia technology to revolutionize the future of healthcare. For …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 1, 2025 · pp. 23–29 Read article
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Artificial Intelligence in Diagnostics: Advancements, Challenges, and Future Prospects
Abstract: AI is changing (and will change) healthcare as we know it, and diagnostics might be the specialty that feels the most discomfort. Artificial intelligence-based analytical systems are facilitating the detection, diagnosis, and treatment of a variety of diseases, with better accuracy, speed, and results. Now, this abstract investigates the role of AI in diagnostics, scouring its elements, landmark techniques, transformative impact and future overview. This article explains AI and discusses …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 8–17 Read article
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Digital Transformation of Urban Infrastructure with the Help of AI Guardians
Abstract: The construction industry continues to face challenges related to quality control, safety protocols, and meeting project deadlines. These issues often result in significant cost overruns and project delays. Traditional inspection and site management approaches rely heavily on manual work and individual judgment. As a result, human errors can easily occur, and these methods provide only limited snapshots of site conditions over time. This paper presents a comprehensive framework that uses …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 16–25 Read article
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Synthesis and Characterization of Amorphous Carbon Nanotube-Molybdenum Disulfide (ACNT-MoS2) Nanohybrids using Sodium Molybdate Dehydrate and L-Cysteine as Precursor
Abstract: The discovery of graphene makes the researcher interested towards the other two-dimensional material which has quite similar properties like graphene. Among them, MoS2 nanosheets haves extraordinary optoelectronic and physical properties. It has several applications in developing battery, sensor, optoelectronic device etc. On the other hand, amorphous carbon nanotube can be synthesized by using a low temperature chemical process. Due to the ease processing of amorphous carbon nanotube (ACNT), good optoelectronic …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 21, Issue 3, 2019 · pp. 41–47 Read article
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Wireless Intelligent Accurate Bridge Deck Crack Inspection and Mapping
Abstract: One of the important tasks for building maintenance is building deck crack inspection. However, the inspection result in human analysis is less accurate in nature. So, a crack inspection system that uses a camera-equipped mobile robot to collect images on the building deck has been proposed. In this method, the Laplacian of Gaussian (LoG) algorithm is used to detect cracks and a global crack map is obtained through camera calibration …
Published in Journal of Advancements in Robotics · Vol. 3, Issue 2, 2016 · pp. 24–29 Read article
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Role of Artificial Intelligence in Simulation and Therapeutics in Neurodegenerative Diseases
Abstract: Neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, etc., are a cause of significant mortality rates due to a lack of curative treatments and their complex nature. Traditional therapeutic methodologies have several disadvantages such as slow diagnosis and a lack of effective treatments. They mainly focused on the management of the disease rather than curing it. The integration of artificial intelligence in the simulation and therapeutics of neurodegenerative …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 19–29 Read article
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Non-Small Cell Lung Cancer: Types, Pathogenesis, Diagnosis, and Novel Therapeutic Strategies
Abstract: Non-small cell lung cancer (NSCLC) is the most prevalent type of lung cancer, accounting for over 85% of all cases globally. It remains one of the primary causes of cancer-related death due to its rapid progression, few early symptoms, and late detection. The three main forms of non-small cell lung cancer (NSCLC) are adenocarcinoma, squamous cell carcinoma, and giant cell carcinoma; each has a unique histology, prognosis, and response to …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 · pp. 07–22 Read article